#urbanisation — Public Fediverse posts

‘Not any old vermin’: rats numbers are on the rise thanks to global heating – and poison may not be the answer https://www.theguardian.com/environment/2026/aug/25/rats-numbers-rise-global-heating-poison-cities #ClimateCrisis #Environment #Wildlife #WorldNews #UsNews #UkNews #Animals #Mammals #GlobalHealth #Urbanisation

‘Not any old vermin’: rats numbers are on the rise thanks to global heating – and poison may not be the answer https://www.theguardian.com/environment/2026/aug/25/rats-numbers-rise-global-heating-poison-cities #ClimateCrisis #Environment #Wildlife #WorldNews #UsNews #UkNews #Animals #Mammals #GlobalHealth #Urbanisation

‘Not any old vermin’: rats numbers are on the rise thanks to global heating – and poison may not be the answer https://www.theguardian.com/environment/2026/aug/25/rats-numbers-rise-global-heating-poison-cities #ClimateCrisis #Environment #Wildlife #WorldNews #UsNews #UkNews #Animals #Mammals #GlobalHealth #Urbanisation

‘Not any old vermin’: rats numbers are on the rise thanks to global heating – and poison may not be the answer https://www.theguardian.com/environment/2026/aug/25/rats-numbers-rise-global-heating-poison-cities #ClimateCrisis #Environment #Wildlife #WorldNews #UsNews #UkNews #Animals #Mammals #GlobalHealth #Urbanisation

‘Not any old vermin’: rats numbers are on the rise thanks to global heating – and poison may not be the answer
By Isaaq Tomkins

Robert Corrigan has been dealing with the ‘smart’ rodents all his life – and believes there are better solutions to deal with the growing infestation in the world’s cities

https://www.theguardian.com/environment/2026/aug/25/rats-numbers-rise-global-heating-poison-cities

#Climatecrisis #Environment #Wildlife #Worldnews #USnews #UKnews #Animals #Mammals #Globalhealth #Urbanisation #TheGuardian #IsaaqTomkins

‘Not any old vermin’: rats numbers are on the rise thanks to global heating – and poison may not be the answer
By Isaaq Tomkins

Robert Corrigan has been dealing with the ‘smart’ rodents all his life – and believes there are better solutions to deal with the growing infestation in the world’s cities

https://www.theguardian.com/environment/2026/aug/25/rats-numbers-rise-global-heating-poison-cities

#Climatecrisis #Environment #Wildlife #Worldnews #USnews #UKnews #Animals #Mammals #Globalhealth #Urbanisation #TheGuardian #IsaaqTomkins

‘Not any old vermin’: rats numbers are on the rise thanks to global heating – and poison may not be the answer
By Isaaq Tomkins

Robert Corrigan has been dealing with the ‘smart’ rodents all his life – and believes there are better solutions to deal with the growing infestation in the world’s cities

https://www.theguardian.com/environment/2026/aug/25/rats-numbers-rise-global-heating-poison-cities

#Climatecrisis #Environment #Wildlife #Worldnews #USnews #UKnews #Animals #Mammals #Globalhealth #Urbanisation #TheGuardian #IsaaqTomkins

The Portrait of Flood Risk in Italy - Past, Present and Future, From 1870 to 2100
--
https://doi.org/10.1029/2026GL122987 <-- shared paper
--
“ABSTRACT: Among European countries, Italy ranks as one of the most susceptible to flood risk. While this figure is already substantial, climate change and rapid urbanization in flood-prone areas have been identified as the two main drivers expected to elevate the number of individuals at risk. This study offers a comprehensive assessment of these two drivers of flood risk in Italy over 230 years, from 1870 to 2100, focusing on how they interact to increase risk. Using the large-scale flood risk model RESCUE-FR, [the authors] analyze[d] the population at risk under the 200-year return period scenario to provide a targeted assessment of population risk, how it has evolved in the past, and its projection in the future. [Their] findings indicate that while historical flood risk in Italy has primarily been influenced by population growth and migration into at-risk areas, future projections suggest that climate change will become the dominant driver of flood risk.
PLAIN LANGUAGE SUMMARY: Italy is one of the European countries most at risk of flooding. This study examines the impact of two risk factors on flood risk in Italy over the long term, from 1870 to 2100: climate change and the evolution of population in areas prone to flooding. Using a large-scale flood risk model, [they] simulated different scenarios for different time periods, such as with and without climate change, to estimate how each factor contributes to the number of people exposed to floods in the past and future. [Their] results show that population growth and migration into flood-prone areas were the main reasons for the increased risk in the past. In the future, however, climate change is likely to become the dominant factor, putting more people at risk. Understanding how these factors interact can help communities to plan more effectively for floods and reduce the number of people affected…”
#flood #flooding #risk #hazard #Italy #Europe #national #history #historic #cost #damage #infrastructure #floodrisk #population #urbanisation #development #climatechange #extremeweather #dominantfactor #floodprone #national #regional #spatialanalysis #spatiotemporal #model #RESCUEFR #modeling #factors #parameters #drivers #publicsafety

The Portrait of Flood Risk in Italy - Past, Present and Future, From 1870 to 2100
--
https://doi.org/10.1029/2026GL122987 <-- shared paper
--
“ABSTRACT: Among European countries, Italy ranks as one of the most susceptible to flood risk. While this figure is already substantial, climate change and rapid urbanization in flood-prone areas have been identified as the two main drivers expected to elevate the number of individuals at risk. This study offers a comprehensive assessment of these two drivers of flood risk in Italy over 230 years, from 1870 to 2100, focusing on how they interact to increase risk. Using the large-scale flood risk model RESCUE-FR, [the authors] analyze[d] the population at risk under the 200-year return period scenario to provide a targeted assessment of population risk, how it has evolved in the past, and its projection in the future. [Their] findings indicate that while historical flood risk in Italy has primarily been influenced by population growth and migration into at-risk areas, future projections suggest that climate change will become the dominant driver of flood risk.
PLAIN LANGUAGE SUMMARY: Italy is one of the European countries most at risk of flooding. This study examines the impact of two risk factors on flood risk in Italy over the long term, from 1870 to 2100: climate change and the evolution of population in areas prone to flooding. Using a large-scale flood risk model, [they] simulated different scenarios for different time periods, such as with and without climate change, to estimate how each factor contributes to the number of people exposed to floods in the past and future. [Their] results show that population growth and migration into flood-prone areas were the main reasons for the increased risk in the past. In the future, however, climate change is likely to become the dominant factor, putting more people at risk. Understanding how these factors interact can help communities to plan more effectively for floods and reduce the number of people affected…”
#flood #flooding #risk #hazard #Italy #Europe #national #history #historic #cost #damage #infrastructure #floodrisk #population #urbanisation #development #climatechange #extremeweather #dominantfactor #floodprone #national #regional #spatialanalysis #spatiotemporal #model #RESCUEFR #modeling #factors #parameters #drivers #publicsafety

The Portrait of Flood Risk in Italy - Past, Present and Future, From 1870 to 2100
--
https://doi.org/10.1029/2026GL122987 <-- shared paper
--
“ABSTRACT: Among European countries, Italy ranks as one of the most susceptible to flood risk. While this figure is already substantial, climate change and rapid urbanization in flood-prone areas have been identified as the two main drivers expected to elevate the number of individuals at risk. This study offers a comprehensive assessment of these two drivers of flood risk in Italy over 230 years, from 1870 to 2100, focusing on how they interact to increase risk. Using the large-scale flood risk model RESCUE-FR, [the authors] analyze[d] the population at risk under the 200-year return period scenario to provide a targeted assessment of population risk, how it has evolved in the past, and its projection in the future. [Their] findings indicate that while historical flood risk in Italy has primarily been influenced by population growth and migration into at-risk areas, future projections suggest that climate change will become the dominant driver of flood risk.
PLAIN LANGUAGE SUMMARY: Italy is one of the European countries most at risk of flooding. This study examines the impact of two risk factors on flood risk in Italy over the long term, from 1870 to 2100: climate change and the evolution of population in areas prone to flooding. Using a large-scale flood risk model, [they] simulated different scenarios for different time periods, such as with and without climate change, to estimate how each factor contributes to the number of people exposed to floods in the past and future. [Their] results show that population growth and migration into flood-prone areas were the main reasons for the increased risk in the past. In the future, however, climate change is likely to become the dominant factor, putting more people at risk. Understanding how these factors interact can help communities to plan more effectively for floods and reduce the number of people affected…”
#flood #flooding #risk #hazard #Italy #Europe #national #history #historic #cost #damage #infrastructure #floodrisk #population #urbanisation #development #climatechange #extremeweather #dominantfactor #floodprone #national #regional #spatialanalysis #spatiotemporal #model #RESCUEFR #modeling #factors #parameters #drivers #publicsafety

The Portrait of Flood Risk in Italy - Past, Present and Future, From 1870 to 2100
--
https://doi.org/10.1029/2026GL122987 <-- shared paper
--
“ABSTRACT: Among European countries, Italy ranks as one of the most susceptible to flood risk. While this figure is already substantial, climate change and rapid urbanization in flood-prone areas have been identified as the two main drivers expected to elevate the number of individuals at risk. This study offers a comprehensive assessment of these two drivers of flood risk in Italy over 230 years, from 1870 to 2100, focusing on how they interact to increase risk. Using the large-scale flood risk model RESCUE-FR, [the authors] analyze[d] the population at risk under the 200-year return period scenario to provide a targeted assessment of population risk, how it has evolved in the past, and its projection in the future. [Their] findings indicate that while historical flood risk in Italy has primarily been influenced by population growth and migration into at-risk areas, future projections suggest that climate change will become the dominant driver of flood risk.
PLAIN LANGUAGE SUMMARY: Italy is one of the European countries most at risk of flooding. This study examines the impact of two risk factors on flood risk in Italy over the long term, from 1870 to 2100: climate change and the evolution of population in areas prone to flooding. Using a large-scale flood risk model, [they] simulated different scenarios for different time periods, such as with and without climate change, to estimate how each factor contributes to the number of people exposed to floods in the past and future. [Their] results show that population growth and migration into flood-prone areas were the main reasons for the increased risk in the past. In the future, however, climate change is likely to become the dominant factor, putting more people at risk. Understanding how these factors interact can help communities to plan more effectively for floods and reduce the number of people affected…”
#flood #flooding #risk #hazard #Italy #Europe #national #history #historic #cost #damage #infrastructure #floodrisk #population #urbanisation #development #climatechange #extremeweather #dominantfactor #floodprone #national #regional #spatialanalysis #spatiotemporal #model #RESCUEFR #modeling #factors #parameters #drivers #publicsafety

The Portrait of Flood Risk in Italy - Past, Present and Future, From 1870 to 2100
--
https://doi.org/10.1029/2026GL122987 <-- shared paper
--
“ABSTRACT: Among European countries, Italy ranks as one of the most susceptible to flood risk. While this figure is already substantial, climate change and rapid urbanization in flood-prone areas have been identified as the two main drivers expected to elevate the number of individuals at risk. This study offers a comprehensive assessment of these two drivers of flood risk in Italy over 230 years, from 1870 to 2100, focusing on how they interact to increase risk. Using the large-scale flood risk model RESCUE-FR, [the authors] analyze[d] the population at risk under the 200-year return period scenario to provide a targeted assessment of population risk, how it has evolved in the past, and its projection in the future. [Their] findings indicate that while historical flood risk in Italy has primarily been influenced by population growth and migration into at-risk areas, future projections suggest that climate change will become the dominant driver of flood risk.
PLAIN LANGUAGE SUMMARY: Italy is one of the European countries most at risk of flooding. This study examines the impact of two risk factors on flood risk in Italy over the long term, from 1870 to 2100: climate change and the evolution of population in areas prone to flooding. Using a large-scale flood risk model, [they] simulated different scenarios for different time periods, such as with and without climate change, to estimate how each factor contributes to the number of people exposed to floods in the past and future. [Their] results show that population growth and migration into flood-prone areas were the main reasons for the increased risk in the past. In the future, however, climate change is likely to become the dominant factor, putting more people at risk. Understanding how these factors interact can help communities to plan more effectively for floods and reduce the number of people affected…”
#flood #flooding #risk #hazard #Italy #Europe #national #history #historic #cost #damage #infrastructure #floodrisk #population #urbanisation #development #climatechange #extremeweather #dominantfactor #floodprone #national #regional #spatialanalysis #spatiotemporal #model #RESCUEFR #modeling #factors #parameters #drivers #publicsafety

Coping with 54C heat: Delhi slum diaries detail living in extreme temperatures
By Suchitra in Delhi

With heatwaves now recognised as disasters, personal testimonies are key to a new project that looks to protect those living in the most cramped districts of India’s capital

https://www.theguardian.com/global-development/2026/aug/17/india-disasters-heatwaves-slum-diaries-delhi-vulnerable-temperatures

#Globaldevelopment #India #Extremeheat #Climatecrisis #SouthandcentralAsia #Environment #Worldnews #Delhi #Citiesanddevelopment #Humanrights #Naturaldisasters #Urbanisation #Cities #TheGuardian #SuchitrainDelhi

Coping with 54C heat: Delhi slum diaries detail living in extreme temperatures
By Suchitra in Delhi

With heatwaves now recognised as disasters, personal testimonies are key to a new project that looks to protect those living in the most cramped districts of India’s capital

https://www.theguardian.com/global-development/2026/aug/17/india-disasters-heatwaves-slum-diaries-delhi-vulnerable-temperatures

#Globaldevelopment #India #Extremeheat #Climatecrisis #SouthandcentralAsia #Environment #Worldnews #Delhi #Citiesanddevelopment #Humanrights #Naturaldisasters #Urbanisation #Cities #TheGuardian #SuchitrainDelhi

Coping with 54C heat: Delhi slum diaries detail living in extreme temperatures
By Suchitra in Delhi

With heatwaves now recognised as disasters, personal testimonies are key to a new project that looks to protect those living in the most cramped districts of India’s capital

https://www.theguardian.com/global-development/2026/aug/17/india-disasters-heatwaves-slum-diaries-delhi-vulnerable-temperatures

#Globaldevelopment #India #Extremeheat #Climatecrisis #SouthandcentralAsia #Environment #Worldnews #Delhi #Citiesanddevelopment #Humanrights #Naturaldisasters #Urbanisation #Cities #TheGuardian #SuchitrainDelhi

Coping with 54C heat: Delhi slum diaries detail living in extreme temperatures https://www.theguardian.com/global-development/2026/aug/17/india-disasters-heatwaves-slum-diaries-delhi-vulnerable-temperatures #GlobalDevelopment #India #ExtremeHeat #ClimateCrisis #SouthAndCentralAsia #Environment #WorldNews #Delhi #CitiesAndDevelopment #HumanRights #NaturalDisasters #Urbanisation #Cities

Coping with 54C heat: Delhi slum diaries detail living in extreme temperatures https://www.theguardian.com/global-development/2026/aug/17/india-disasters-heatwaves-slum-diaries-delhi-vulnerable-temperatures #GlobalDevelopment #India #ExtremeHeat #ClimateCrisis #SouthAndCentralAsia #Environment #WorldNews #Delhi #CitiesAndDevelopment #HumanRights #NaturalDisasters #Urbanisation #Cities

Coping with 54C heat: Delhi slum diaries detail living in extreme temperatures https://www.theguardian.com/global-development/2026/aug/17/india-disasters-heatwaves-slum-diaries-delhi-vulnerable-temperatures #GlobalDevelopment #India #ExtremeHeat #ClimateCrisis #SouthAndCentralAsia #Environment #WorldNews #Delhi #CitiesAndDevelopment #HumanRights #NaturalDisasters #Urbanisation #Cities

Coping with 54C heat: Delhi slum diaries detail living in extreme temperatures https://www.theguardian.com/global-development/2026/aug/17/india-disasters-heatwaves-slum-diaries-delhi-vulnerable-temperatures #GlobalDevelopment #India #ExtremeHeat #ClimateCrisis #SouthAndCentralAsia #Environment #WorldNews #Delhi #CitiesAndDevelopment #HumanRights #NaturalDisasters #Urbanisation #Cities

Coping with 54C heat: Delhi slum diaries detail living in extreme temperatures https://www.theguardian.com/global-development/2026/aug/17/india-disasters-heatwaves-slum-diaries-delhi-vulnerable-temperatures #GlobalDevelopment #India #ExtremeHeat #ClimateCrisis #SouthAndCentralAsia #Environment #WorldNews #Delhi #CitiesAndDevelopment #HumanRights #NaturalDisasters #Urbanisation #Cities

Impact Of Urbanization Driven Land Use And Land Cover Change On Ecological Environmental Quality In Rupandehi Nepal Assessed Using The Remote Sensing Ecological Index
--
https://doi.org/10.1007/s44288-026-00650-y <-- shared paper
--
https://kathmandupost.com/money/2026/02/18/rupandehi-s-continued-urban-sprawl-comes-at-a-cost-for-agriculture-in-the-periphery <-- shared media article
--
H/T@ Gaurav Parajulim
“[The authors] studied how the ecological quality of Nepal's Rupandehi District has changed over three decades (1993–2023), using satellite imagery and the Remote Sensing Ecological Index (RSEI) to track the health of the landscape year by year and to understand how urbanization-driven land use change has reshaped it.
What [they] found tells a nuanced story: as Butwal and Bhairahawa grew and built-up land expanded, ecological quality shifted in ways that a single number can't capture, some areas recovered, others declined, and the patterns rarely moved in a straight line…”
--
“Rapid urbanization and population growth are major drivers of land use and land cover (LULC) change and can substantially alter ecological environmental quality (EEQ). This study assessed the spatiotemporal dynamics of LULC and their effect on EEQ in Rupandehi District, Nepal, over a 30-year period (1993–2023). Four ecological indicators representing greenness, wetness, dryness, and heat were derived from Landsat imagery in Google Earth Engine (GEE), and LULC was classified using a Support Vector Machine (SVM). The Remote Sensing Ecological Index (RSEI) was then constructed from these indicators using Principal Component Analysis (PCA) in ArcGIS Pro, and its spatial structure was examined using global and local spatial autocorrelation. The mean RSEI followed a non-linear trajectory, rising from 0.59 in 1993 to 0.635 in 2004, declining to 0.55 in 2013, and recovering to 0.67 in 2023, indicating an overall improvement in EEQ with a temporary mid-period decline. Over the same period, built-up areas expanded substantially and agricultural land declined, whereas forest cover fluctuated but showed a slight net increase by 2023, and barren land decreased markedly. Higher EEQ was concentrated in the forested northern hills, while lower values occurred in the urban centers of Butwal and Bhairahawa, closely matching the spatial pattern of LULC change. The results indicate that ecological quality reflects the combined influence of all land cover classes rather than any single class. This study provides a transferable and reproducible workflow for long-term ecological assessment based on openly available Landsat data, with the analysis code shared in a public repository, offering practical guidance for sustainable land management and environmentally responsible urban development...”
#GIS #spatial #mapping #RemoteSensing #GIS #RSEI #EnvironmentalMonitoring #Nepal #Research #GoogleEarthEngine #ArcGIS #EcologicalQuality #spatialautocorrelation #ecology #environment #earthobservation #RemoteSensingEcologicalIndex #landscape #urbanisation #urban #development #landuse #change #spatialanalysis #spatiotemporal

Impact Of Urbanization Driven Land Use And Land Cover Change On Ecological Environmental Quality In Rupandehi Nepal Assessed Using The Remote Sensing Ecological Index
--
https://doi.org/10.1007/s44288-026-00650-y <-- shared paper
--
https://kathmandupost.com/money/2026/02/18/rupandehi-s-continued-urban-sprawl-comes-at-a-cost-for-agriculture-in-the-periphery <-- shared media article
--
H/T@ Gaurav Parajulim
“[The authors] studied how the ecological quality of Nepal's Rupandehi District has changed over three decades (1993–2023), using satellite imagery and the Remote Sensing Ecological Index (RSEI) to track the health of the landscape year by year and to understand how urbanization-driven land use change has reshaped it.
What [they] found tells a nuanced story: as Butwal and Bhairahawa grew and built-up land expanded, ecological quality shifted in ways that a single number can't capture, some areas recovered, others declined, and the patterns rarely moved in a straight line…”
--
“Rapid urbanization and population growth are major drivers of land use and land cover (LULC) change and can substantially alter ecological environmental quality (EEQ). This study assessed the spatiotemporal dynamics of LULC and their effect on EEQ in Rupandehi District, Nepal, over a 30-year period (1993–2023). Four ecological indicators representing greenness, wetness, dryness, and heat were derived from Landsat imagery in Google Earth Engine (GEE), and LULC was classified using a Support Vector Machine (SVM). The Remote Sensing Ecological Index (RSEI) was then constructed from these indicators using Principal Component Analysis (PCA) in ArcGIS Pro, and its spatial structure was examined using global and local spatial autocorrelation. The mean RSEI followed a non-linear trajectory, rising from 0.59 in 1993 to 0.635 in 2004, declining to 0.55 in 2013, and recovering to 0.67 in 2023, indicating an overall improvement in EEQ with a temporary mid-period decline. Over the same period, built-up areas expanded substantially and agricultural land declined, whereas forest cover fluctuated but showed a slight net increase by 2023, and barren land decreased markedly. Higher EEQ was concentrated in the forested northern hills, while lower values occurred in the urban centers of Butwal and Bhairahawa, closely matching the spatial pattern of LULC change. The results indicate that ecological quality reflects the combined influence of all land cover classes rather than any single class. This study provides a transferable and reproducible workflow for long-term ecological assessment based on openly available Landsat data, with the analysis code shared in a public repository, offering practical guidance for sustainable land management and environmentally responsible urban development...”
#GIS #spatial #mapping #RemoteSensing #GIS #RSEI #EnvironmentalMonitoring #Nepal #Research #GoogleEarthEngine #ArcGIS #EcologicalQuality #spatialautocorrelation #ecology #environment #earthobservation #RemoteSensingEcologicalIndex #landscape #urbanisation #urban #development #landuse #change #spatialanalysis #spatiotemporal

Impact Of Urbanization Driven Land Use And Land Cover Change On Ecological Environmental Quality In Rupandehi Nepal Assessed Using The Remote Sensing Ecological Index
--
https://doi.org/10.1007/s44288-026-00650-y <-- shared paper
--
https://kathmandupost.com/money/2026/02/18/rupandehi-s-continued-urban-sprawl-comes-at-a-cost-for-agriculture-in-the-periphery <-- shared media article
--
H/T@ Gaurav Parajulim
“[The authors] studied how the ecological quality of Nepal's Rupandehi District has changed over three decades (1993–2023), using satellite imagery and the Remote Sensing Ecological Index (RSEI) to track the health of the landscape year by year and to understand how urbanization-driven land use change has reshaped it.
What [they] found tells a nuanced story: as Butwal and Bhairahawa grew and built-up land expanded, ecological quality shifted in ways that a single number can't capture, some areas recovered, others declined, and the patterns rarely moved in a straight line…”
--
“Rapid urbanization and population growth are major drivers of land use and land cover (LULC) change and can substantially alter ecological environmental quality (EEQ). This study assessed the spatiotemporal dynamics of LULC and their effect on EEQ in Rupandehi District, Nepal, over a 30-year period (1993–2023). Four ecological indicators representing greenness, wetness, dryness, and heat were derived from Landsat imagery in Google Earth Engine (GEE), and LULC was classified using a Support Vector Machine (SVM). The Remote Sensing Ecological Index (RSEI) was then constructed from these indicators using Principal Component Analysis (PCA) in ArcGIS Pro, and its spatial structure was examined using global and local spatial autocorrelation. The mean RSEI followed a non-linear trajectory, rising from 0.59 in 1993 to 0.635 in 2004, declining to 0.55 in 2013, and recovering to 0.67 in 2023, indicating an overall improvement in EEQ with a temporary mid-period decline. Over the same period, built-up areas expanded substantially and agricultural land declined, whereas forest cover fluctuated but showed a slight net increase by 2023, and barren land decreased markedly. Higher EEQ was concentrated in the forested northern hills, while lower values occurred in the urban centers of Butwal and Bhairahawa, closely matching the spatial pattern of LULC change. The results indicate that ecological quality reflects the combined influence of all land cover classes rather than any single class. This study provides a transferable and reproducible workflow for long-term ecological assessment based on openly available Landsat data, with the analysis code shared in a public repository, offering practical guidance for sustainable land management and environmentally responsible urban development...”
#GIS #spatial #mapping #RemoteSensing #GIS #RSEI #EnvironmentalMonitoring #Nepal #Research #GoogleEarthEngine #ArcGIS #EcologicalQuality #spatialautocorrelation #ecology #environment #earthobservation #RemoteSensingEcologicalIndex #landscape #urbanisation #urban #development #landuse #change #spatialanalysis #spatiotemporal

Impact Of Urbanization Driven Land Use And Land Cover Change On Ecological Environmental Quality In Rupandehi Nepal Assessed Using The Remote Sensing Ecological Index
--
https://doi.org/10.1007/s44288-026-00650-y <-- shared paper
--
https://kathmandupost.com/money/2026/02/18/rupandehi-s-continued-urban-sprawl-comes-at-a-cost-for-agriculture-in-the-periphery <-- shared media article
--
H/T@ Gaurav Parajulim
“[The authors] studied how the ecological quality of Nepal's Rupandehi District has changed over three decades (1993–2023), using satellite imagery and the Remote Sensing Ecological Index (RSEI) to track the health of the landscape year by year and to understand how urbanization-driven land use change has reshaped it.
What [they] found tells a nuanced story: as Butwal and Bhairahawa grew and built-up land expanded, ecological quality shifted in ways that a single number can't capture, some areas recovered, others declined, and the patterns rarely moved in a straight line…”
--
“Rapid urbanization and population growth are major drivers of land use and land cover (LULC) change and can substantially alter ecological environmental quality (EEQ). This study assessed the spatiotemporal dynamics of LULC and their effect on EEQ in Rupandehi District, Nepal, over a 30-year period (1993–2023). Four ecological indicators representing greenness, wetness, dryness, and heat were derived from Landsat imagery in Google Earth Engine (GEE), and LULC was classified using a Support Vector Machine (SVM). The Remote Sensing Ecological Index (RSEI) was then constructed from these indicators using Principal Component Analysis (PCA) in ArcGIS Pro, and its spatial structure was examined using global and local spatial autocorrelation. The mean RSEI followed a non-linear trajectory, rising from 0.59 in 1993 to 0.635 in 2004, declining to 0.55 in 2013, and recovering to 0.67 in 2023, indicating an overall improvement in EEQ with a temporary mid-period decline. Over the same period, built-up areas expanded substantially and agricultural land declined, whereas forest cover fluctuated but showed a slight net increase by 2023, and barren land decreased markedly. Higher EEQ was concentrated in the forested northern hills, while lower values occurred in the urban centers of Butwal and Bhairahawa, closely matching the spatial pattern of LULC change. The results indicate that ecological quality reflects the combined influence of all land cover classes rather than any single class. This study provides a transferable and reproducible workflow for long-term ecological assessment based on openly available Landsat data, with the analysis code shared in a public repository, offering practical guidance for sustainable land management and environmentally responsible urban development...”
#GIS #spatial #mapping #RemoteSensing #GIS #RSEI #EnvironmentalMonitoring #Nepal #Research #GoogleEarthEngine #ArcGIS #EcologicalQuality #spatialautocorrelation #ecology #environment #earthobservation #RemoteSensingEcologicalIndex #landscape #urbanisation #urban #development #landuse #change #spatialanalysis #spatiotemporal

Impact Of Urbanization Driven Land Use And Land Cover Change On Ecological Environmental Quality In Rupandehi Nepal Assessed Using The Remote Sensing Ecological Index
--
https://doi.org/10.1007/s44288-026-00650-y <-- shared paper
--
https://kathmandupost.com/money/2026/02/18/rupandehi-s-continued-urban-sprawl-comes-at-a-cost-for-agriculture-in-the-periphery <-- shared media article
--
H/T@ Gaurav Parajulim
“[The authors] studied how the ecological quality of Nepal's Rupandehi District has changed over three decades (1993–2023), using satellite imagery and the Remote Sensing Ecological Index (RSEI) to track the health of the landscape year by year and to understand how urbanization-driven land use change has reshaped it.
What [they] found tells a nuanced story: as Butwal and Bhairahawa grew and built-up land expanded, ecological quality shifted in ways that a single number can't capture, some areas recovered, others declined, and the patterns rarely moved in a straight line…”
--
“Rapid urbanization and population growth are major drivers of land use and land cover (LULC) change and can substantially alter ecological environmental quality (EEQ). This study assessed the spatiotemporal dynamics of LULC and their effect on EEQ in Rupandehi District, Nepal, over a 30-year period (1993–2023). Four ecological indicators representing greenness, wetness, dryness, and heat were derived from Landsat imagery in Google Earth Engine (GEE), and LULC was classified using a Support Vector Machine (SVM). The Remote Sensing Ecological Index (RSEI) was then constructed from these indicators using Principal Component Analysis (PCA) in ArcGIS Pro, and its spatial structure was examined using global and local spatial autocorrelation. The mean RSEI followed a non-linear trajectory, rising from 0.59 in 1993 to 0.635 in 2004, declining to 0.55 in 2013, and recovering to 0.67 in 2023, indicating an overall improvement in EEQ with a temporary mid-period decline. Over the same period, built-up areas expanded substantially and agricultural land declined, whereas forest cover fluctuated but showed a slight net increase by 2023, and barren land decreased markedly. Higher EEQ was concentrated in the forested northern hills, while lower values occurred in the urban centers of Butwal and Bhairahawa, closely matching the spatial pattern of LULC change. The results indicate that ecological quality reflects the combined influence of all land cover classes rather than any single class. This study provides a transferable and reproducible workflow for long-term ecological assessment based on openly available Landsat data, with the analysis code shared in a public repository, offering practical guidance for sustainable land management and environmentally responsible urban development...”
#GIS #spatial #mapping #RemoteSensing #GIS #RSEI #EnvironmentalMonitoring #Nepal #Research #GoogleEarthEngine #ArcGIS #EcologicalQuality #spatialautocorrelation #ecology #environment #earthobservation #RemoteSensingEcologicalIndex #landscape #urbanisation #urban #development #landuse #change #spatialanalysis #spatiotemporal

https://www.europesays.com/ch-fr/248186/ Climat. Le climat redessine les territoires des papillons #Agriculture #Climat #dépendance #étude #International #Nature #réchauffement #Travaux #urbanisation #World #WorldNews

‘It’s not about the Qur’an, it’s about the money’: how boys of five are forced to beg on Senegal’s streets
By Pete Pattisson in Saint-Louis

An old west African practice of sending children away to study is being used as a cover for trafficking, say human rights groups

https://www.theguardian.com/global-development/2026/aug/03/senegal-st-louis-talibes-quran-children-forced-beg-human-trafficking-rights

#Globaldevelopment #Humantrafficking #Senegal #Africa #Islam #Worldnews #Urbanisation #Humanrights #Cities #Religion #TheGuardian #PetePattissoninSaintLouis

‘It’s not about the Qur’an, it’s about the money’: how boys of five are forced to beg on Senegal’s streets
By Pete Pattisson in Saint-Louis

An old west African practice of sending children away to study is being used as a cover for trafficking, say human rights groups

https://www.theguardian.com/global-development/2026/aug/03/senegal-st-louis-talibes-quran-children-forced-beg-human-trafficking-rights

#Globaldevelopment #Humantrafficking #Senegal #Africa #Islam #Worldnews #Urbanisation #Humanrights #Cities #Religion #TheGuardian #PetePattissoninSaintLouis

‘It’s not about the Qur’an, it’s about the money’: how boys of five are forced to beg on Senegal’s streets
By Pete Pattisson in Saint-Louis

An old west African practice of sending children away to study is being used as a cover for trafficking, say human rights groups

https://www.theguardian.com/global-development/2026/aug/03/senegal-st-louis-talibes-quran-children-forced-beg-human-trafficking-rights

#Globaldevelopment #Humantrafficking #Senegal #Africa #Islam #Worldnews #Urbanisation #Humanrights #Cities #Religion #TheGuardian #PetePattissoninSaintLouis

Climate vulnerability of buildings is shifting from colder to hotter regions

Millions of people live in buildings that were not designed for the climate conditions they face today and…
#Europe #EU #EuropeanCommission #adaptationtoclimatechange #climatechangepolicy #energyefficiency #greenbuilding #urbanisation
https://www.europesays.com/europe/104092/

https://www.europesays.com/afrique/157936/ Nigeria: changement climatique et croissance urbaine exacerbent les inondations à Lagos : Actualités #climat #inondations #lagos #Nigeria #Pollution #urbanisation

Noyal-sur-Vilaine. Le projet d’urbanisation de la friche industrielle d’entrée de ville

Entretien Vous avez informé les conseillers des modifications apportées au projet d’urbanisation de la friche industrielle d’entrée de…
#Rennes #FR #France #Actu #News #Europe #EU #actu #Actualités #bretagne #entrée #europe #Friche #industrielle #modifie #noyal-sur-vilaine #Projet #Républiquefrançaise #Urbanisation #ville
https://www.europesays.com/fr/1055240/

https://www.europesays.com/fr/1055240/ Noyal-sur-Vilaine. Le projet d’urbanisation de la friche industrielle d’entrée de ville #actu #Actualités #bretagne #entrée #EU #europe #FR #France #Friche #industrielle #modifie #News #NoyalSurVilaine #Projet #Rennes #RépubliqueFrançaise #Urbanisation #ville

The Visible Cost of Urbanisation

Densification, also called urbanisation, is a double edged problem. The first problem is that bringing more people closer together you increase noise pollution. The more people live nearby, the more people need to learn to be quiet. The second cost is an inability to shelter from the heat on a hot summer’s day.

In Paris, Geneva, Nyon and London plenty of people have moved from villages and houses to apartments. The result of this migration from a multi-level house to a single floor apartment is that during a heatwave people are stuck in hot apartments with nowhere to flee.

In a house, if it gets hot, you can move to the ground floor, and you can close windows and shutters, and control the entire column of the building. You also have a garden to flee to, to escape from the heat. In theory you might even have a prairie. That’s what I had, when I lived in a house rather than an apartment.

When you live in a minergie building, and apartment buildings in general, they are good, for staying warm in winter, to the point that you can keep windows open, by design, even in winter.

In summer though that design backfires especially with Minergie. During a heatwave opening windows and doors at the wrong time heats up the structure, not just the air. The result is that if heat lasts for long enough the walls soak up enough heat to become radiators.

Last night we had a torrential downpour. The OAT was just 22°c or so, and the air was cooled, including with hail. In a healthy building that hail, and rain, would have cooled the structure.

Last night the rain arrived, and fell, but my apartment stayed at 32°c in the bedroom.

I went for a run yesterday in the late afternoon with a group. I was showing signs of heat exhaustion and the paradox is that running and fresh air actually cooled me down, and I felt better, from being outside, from running.

According to Xiaomi my bedroom heated to 32.1°c after the rain so I decided to use the air conditioner and I got a 2 degree drop in temperature. At 3am it was 30°c and at 6am it was back up to 31.8°c.

I hate everything that air conditioning stands for. In my eyes air conditioning is amplifying global warming first, through requiring energy to run, and secondly by super heating the air that it exhausts.

I find it absurd that a minergie building requires air conditioning in summer, to remain habitable. They were so focused on saving energy in winter that they force people to waste far more energy in summer to cool their “homes”.

By moving people from villages to towns, and by removing gardens, and trees in villages we are ensuring that villages, as well as towns are heating up. Where a forest once provided a park for fresh air and a buffer from the heat of other buildings, we now have a concrete jungle.

It’s not just that urbanisation removes nature, but that it removes natural solutions to keeping temperatures down. Grass and trees are essential. By removing them a prairie is replaced with a heat sink that absorbs heat energy during the day, and radiates it at night.

In the past, during canicules, and in hot weather, I knew that I could return to a cool cavern/home. Now I know that a walk in the mid-afternoon heat will feel refreshing compared to the Minergie building where the walls radiate heat, especially during a heat wave.

Global warming is making summers hotter, and dryer, but we’re not making things better by cutting down trees and forests, and replacing villas with gardens and trees with apartment houses with tarmac parking. Where villages were once rural, they are now becoming suburbs.

France is discussing air conditioning, but the forests and trees that were cut down for densification, as well as grass gardens, all result in heat islands no longer being separated by green belts. This amplifies the heat island effect. That’s why cities like Basel are seeing 39°c, and yet the RTS don’t address that topic.

We have record heat because we pumped too much methane and CO2 into the atmosphere, but we’re not helping by turning green towns and villages into grey suburbs.

Given the yearly summer heat waves I believe that moving away from rural villages is a mistake, because in so doing we are crowding people into smaller spaces. By removing, plants, bushes, grass and gardens we are reducing nature’s opportunities to cool the environment we live in. Densification has a negative impact on quality of life, especially during a heatwave.

The Visible Cost of Urbanisation

Densification, also called urbanisation, is a double edged problem. The first problem is that bringing more people closer together you increase noise pollution. The more people live nearby, the more people need to learn to be quiet. The second cost is an inability to shelter from the heat on a hot summer’s day.

In Paris, Geneva, Nyon and London plenty of people have moved from villages and houses to apartments. The result of this migration from a multi-level house to a single floor apartment is that during a heatwave people are stuck in hot apartments with nowhere to flee.

In a house, if it gets hot, you can move to the ground floor, and you can close windows and shutters, and control the entire column of the building. You also have a garden to flee to, to escape from the heat. In theory you might even have a prairie. That’s what I had, when I lived in a house rather than an apartment.

When you live in a minergie building, and apartment buildings in general, they are good, for staying warm in winter, to the point that you can keep windows open, by design, even in winter.

In summer though that design backfires especially with Minergie. During a heatwave opening windows and doors at the wrong time heats up the structure, not just the air. The result is that if heat lasts for long enough the walls soak up enough heat to become radiators.

Last night we had a torrential downpour. The OAT was just 22°c or so, and the air was cooled, including with hail. In a healthy building that hail, and rain, would have cooled the structure.

Last night the rain arrived, and fell, but my apartment stayed at 32°c in the bedroom.

I went for a run yesterday in the late afternoon with a group. I was showing signs of heat exhaustion and the paradox is that running and fresh air actually cooled me down, and I felt better, from being outside, from running.

According to Xiaomi my bedroom heated to 32.1°c after the rain so I decided to use the air conditioner and I got a 2 degree drop in temperature. At 3am it was 30°c and at 6am it was back up to 31.8°c.

I hate everything that air conditioning stands for. In my eyes air conditioning is amplifying global warming first, through requiring energy to run, and secondly by super heating the air that it exhausts.

I find it absurd that a minergie building requires air conditioning in summer, to remain habitable. They were so focused on saving energy in winter that they force people to waste far more energy in summer to cool their “homes”.

By moving people from villages to towns, and by removing gardens, and trees in villages we are ensuring that villages, as well as towns are heating up. Where a forest once provided a park for fresh air and a buffer from the heat of other buildings, we now have a concrete jungle.

It’s not just that urbanisation removes nature, but that it removes natural solutions to keeping temperatures down. Grass and trees are essential. By removing them a prairie is replaced with a heat sink that absorbs heat energy during the day, and radiates it at night.

In the past, during canicules, and in hot weather, I knew that I could return to a cool cavern/home. Now I know that a walk in the mid-afternoon heat will feel refreshing compared to the Minergie building where the walls radiate heat, especially during a heat wave.

Global warming is making summers hotter, and dryer, but we’re not making things better by cutting down trees and forests, and replacing villas with gardens and trees with apartment houses with tarmac parking. Where villages were once rural, they are now becoming suburbs.

France is discussing air conditioning, but the forests and trees that were cut down for densification, as well as grass gardens, all result in heat islands no longer being separated by green belts. This amplifies the heat island effect. That’s why cities like Basel are seeing 39°c, and yet the RTS don’t address that topic.

We have record heat because we pumped too much methane and CO2 into the atmosphere, but we’re not helping by turning green towns and villages into grey suburbs.

Given the yearly summer heat waves I believe that moving away from rural villages is a mistake, because in so doing we are crowding people into smaller spaces. By removing, plants, bushes, grass and gardens we are reducing nature’s opportunities to cool the environment we live in. Densification has a negative impact on quality of life, especially during a heatwave.

Accra Floods: Three Dead, Capital Paralyzed by Torrential Ra

Torrential rains sparked flooding across Accra on Monday, killing at least three people, authorities and local media reported,…
#NewsBeep #News #US #USA #UnitedStates #UnitedStatesOfAmerica #Environment #Accrafloods #climatechange #emergencyresponse #floodvictims #GhanaMeteorologicalAgency #Ghananews #naturaldisaster #rainyseason #Science #Urbanisation #WestAfrica
https://www.newsbeep.com/us/733935/

Accra Floods: Three Dead, Capital Paralyzed by Torrential Ra

Torrential rains sparked flooding across Accra on Monday, killing at least three people, authorities and local media reported,…
#NewsBeep #News #US #USA #UnitedStates #UnitedStatesOfAmerica #Environment #Accrafloods #climatechange #emergencyresponse #floodvictims #GhanaMeteorologicalAgency #Ghananews #naturaldisaster #rainyseason #Science #Urbanisation #WestAfrica
https://www.newsbeep.com/us/733935/

Accra Floods: Three Dead, Capital Paralyzed by Torrential Ra

Torrential rains sparked flooding across Accra on Monday, killing at least three people, authorities and local media reported,…
#NewsBeep #News #US #USA #UnitedStates #UnitedStatesOfAmerica #Environment #Accrafloods #climatechange #emergencyresponse #floodvictims #GhanaMeteorologicalAgency #Ghananews #naturaldisaster #rainyseason #Science #Urbanisation #WestAfrica
https://www.newsbeep.com/us/733935/

Toulon au XIX et XXème siècle.

#peinture #urbanisation

Toulon au XIX et XXème siècle.

#peinture #urbanisation

Toulon au XIX et XXème siècle.

#peinture #urbanisation

Toulon au XIX et XXème siècle.

#peinture #urbanisation

🤗🤗We welcome Alina Wolfbauer and Daniel Egger
@Mol_Ecol
@uniinnsbruck !

They do their master theses on how hemeroby influences the common blackbird

https://molecular-ecology.at/alina-wolfbauer
https://molecular-ecology.at/daniel-egger

#biodiversity #ecology #conservation #urbanisation #femtech #womeninscience

🤗🤗We welcome Alina Wolfbauer and Daniel Egger
@Mol_Ecol
@uniinnsbruck !

They do their master theses on how hemeroby influences the common blackbird

https://molecular-ecology.at/alina-wolfbauer
https://molecular-ecology.at/daniel-egger

#biodiversity #ecology #conservation #urbanisation #femtech #womeninscience

🤗🤗We welcome Alina Wolfbauer and Daniel Egger
@Mol_Ecol
@uniinnsbruck !

They do their master theses on how hemeroby influences the common blackbird

https://molecular-ecology.at/alina-wolfbauer
https://molecular-ecology.at/daniel-egger

#biodiversity #ecology #conservation #urbanisation #femtech #womeninscience

🤗🤗We welcome Alina Wolfbauer and Daniel Egger
@Mol_Ecol
@uniinnsbruck !

They do their master theses on how hemeroby influences the common blackbird

https://molecular-ecology.at/alina-wolfbauer
https://molecular-ecology.at/daniel-egger

#biodiversity #ecology #conservation #urbanisation #femtech #womeninscience

🤗🤗We welcome Alina Wolfbauer and Daniel Egger
@Mol_Ecol
@uniinnsbruck !

They do their master theses on how hemeroby influences the common blackbird

https://molecular-ecology.at/alina-wolfbauer
https://molecular-ecology.at/daniel-egger

#biodiversity #ecology #conservation #urbanisation #femtech #womeninscience

https://www.europesays.com/britain/64341/ BHP Group, Rio Tinto see India driving steel’s next wave of growth | Economy & Policy News #ASEAN #BHPGroup #ChinaSlowdown #CommodityMarkets #GlobalSouth #GlobalSteelIndustry #IndiaGrowthStory #IndiaSteelDemand #InfrastructureSpending #IronOreDemand #IronOreMarket #MetallurgicalCoal #MiningIndustry #RawSteelProduction #Rio‌Tinto #SteelCapacityExpansion #steelmaking #urbanisation

Geospatial Analysis of Urban Population Model Discrepancies Through Land Use and the Built Environment - A Case Study of Croatia
--
https://doi.org/10.3390/geographies6020043 <-- shared paper
--
H/T Olga Bjelotomić Oršulić
“Using official Croatian census data as a reference, [the researchers] analysed three global population datasets across seven Croatian cities to investigate how population allocation differs between built-up and non-built-up areas.
Although the datasets often produced similar population totals, their spatial allocation differed substantially. GHS-POP concentrated over 1 million more inhabitants within built-up areas, while WorldPop allocated approximately 290,000 more inhabitants to non-built-up land-cover classes, demonstrating how similar population totals can mask substantial differences in spatial population patterns.
The question is not only how many people are estimated, but also where the model places them…”
#GIS #spatial #mapping #gridded #population #urban #dataanalysis #shrinkingcities #census #censusvalidation #WorldPop #GHSPOP #GPWv4 #builtupareas #sustainability #SDG #casestudy #Croatia #spatialanalysis #spatiotemporal #SustainableDevelopmentGoals #populationdecline #demographics #urbanplanning #planning #city #cities #PopulationData #RemoteSensing #UrbanAnalytics #OpenData #SDG #model #modeling #urbanisation #density #QGIS #landcover
@MDPI

Geospatial Analysis of Urban Population Model Discrepancies Through Land Use and the Built Environment - A Case Study of Croatia
--
https://doi.org/10.3390/geographies6020043 <-- shared paper
--
H/T Olga Bjelotomić Oršulić
“Using official Croatian census data as a reference, [the researchers] analysed three global population datasets across seven Croatian cities to investigate how population allocation differs between built-up and non-built-up areas.
Although the datasets often produced similar population totals, their spatial allocation differed substantially. GHS-POP concentrated over 1 million more inhabitants within built-up areas, while WorldPop allocated approximately 290,000 more inhabitants to non-built-up land-cover classes, demonstrating how similar population totals can mask substantial differences in spatial population patterns.
The question is not only how many people are estimated, but also where the model places them…”
#GIS #spatial #mapping #gridded #population #urban #dataanalysis #shrinkingcities #census #censusvalidation #WorldPop #GHSPOP #GPWv4 #builtupareas #sustainability #SDG #casestudy #Croatia #spatialanalysis #spatiotemporal #SustainableDevelopmentGoals #populationdecline #demographics #urbanplanning #planning #city #cities #PopulationData #RemoteSensing #UrbanAnalytics #OpenData #SDG #model #modeling #urbanisation #density #QGIS #landcover
@MDPI

Geospatial Analysis of Urban Population Model Discrepancies Through Land Use and the Built Environment - A Case Study of Croatia
--
https://doi.org/10.3390/geographies6020043 <-- shared paper
--
H/T Olga Bjelotomić Oršulić
“Using official Croatian census data as a reference, [the researchers] analysed three global population datasets across seven Croatian cities to investigate how population allocation differs between built-up and non-built-up areas.
Although the datasets often produced similar population totals, their spatial allocation differed substantially. GHS-POP concentrated over 1 million more inhabitants within built-up areas, while WorldPop allocated approximately 290,000 more inhabitants to non-built-up land-cover classes, demonstrating how similar population totals can mask substantial differences in spatial population patterns.
The question is not only how many people are estimated, but also where the model places them…”
#GIS #spatial #mapping #gridded #population #urban #dataanalysis #shrinkingcities #census #censusvalidation #WorldPop #GHSPOP #GPWv4 #builtupareas #sustainability #SDG #casestudy #Croatia #spatialanalysis #spatiotemporal #SustainableDevelopmentGoals #populationdecline #demographics #urbanplanning #planning #city #cities #PopulationData #RemoteSensing #UrbanAnalytics #OpenData #SDG #model #modeling #urbanisation #density #QGIS #landcover
@MDPI

Geospatial Analysis of Urban Population Model Discrepancies Through Land Use and the Built Environment - A Case Study of Croatia
--
https://doi.org/10.3390/geographies6020043 <-- shared paper
--
H/T Olga Bjelotomić Oršulić
“Using official Croatian census data as a reference, [the researchers] analysed three global population datasets across seven Croatian cities to investigate how population allocation differs between built-up and non-built-up areas.
Although the datasets often produced similar population totals, their spatial allocation differed substantially. GHS-POP concentrated over 1 million more inhabitants within built-up areas, while WorldPop allocated approximately 290,000 more inhabitants to non-built-up land-cover classes, demonstrating how similar population totals can mask substantial differences in spatial population patterns.
The question is not only how many people are estimated, but also where the model places them…”
#GIS #spatial #mapping #gridded #population #urban #dataanalysis #shrinkingcities #census #censusvalidation #WorldPop #GHSPOP #GPWv4 #builtupareas #sustainability #SDG #casestudy #Croatia #spatialanalysis #spatiotemporal #SustainableDevelopmentGoals #populationdecline #demographics #urbanplanning #planning #city #cities #PopulationData #RemoteSensing #UrbanAnalytics #OpenData #SDG #model #modeling #urbanisation #density #QGIS #landcover
@MDPI

Geospatial Analysis of Urban Population Model Discrepancies Through Land Use and the Built Environment - A Case Study of Croatia
--
https://doi.org/10.3390/geographies6020043 <-- shared paper
--
H/T Olga Bjelotomić Oršulić
“Using official Croatian census data as a reference, [the researchers] analysed three global population datasets across seven Croatian cities to investigate how population allocation differs between built-up and non-built-up areas.
Although the datasets often produced similar population totals, their spatial allocation differed substantially. GHS-POP concentrated over 1 million more inhabitants within built-up areas, while WorldPop allocated approximately 290,000 more inhabitants to non-built-up land-cover classes, demonstrating how similar population totals can mask substantial differences in spatial population patterns.
The question is not only how many people are estimated, but also where the model places them…”
#GIS #spatial #mapping #gridded #population #urban #dataanalysis #shrinkingcities #census #censusvalidation #WorldPop #GHSPOP #GPWv4 #builtupareas #sustainability #SDG #casestudy #Croatia #spatialanalysis #spatiotemporal #SustainableDevelopmentGoals #populationdecline #demographics #urbanplanning #planning #city #cities #PopulationData #RemoteSensing #UrbanAnalytics #OpenData #SDG #model #modeling #urbanisation #density #QGIS #landcover
@MDPI

The Growing Threat of Flooding on Transportation Infrastructure Across Texas Through 2100
--
https://doi.org/10.1029/2026EF008207 <--shared paper
--
H/T @Rakibul Ahasan
“[The researchers] modeled flood susceptibility across Texas at 30 m resolution and projected how it shifts through 2100. The headline is not just that flood risk grows, but that it moves, into places current planning and regulatory maps are not watching. The July 2025 Kerrville flooding sat squarely inside the kind of inland hazard expansion this model projects.
KEY TAKEAWAYS:
● 95% of new flood exposure by 2100 is inland, away from the coast, shifting the resilience problem into interior river basins that planning has historically deprioritized.
● Where [they] benchmarked against FEMA's National Flood Hazard Layer, the model flags substantial hidden risk in rapidly urbanizing peri-urban areas, most notably in Greater Houston.
● Climate change alone expands the flood-susceptible footprint by 10–12% by 2100, before any new road or land-use development, so this is a conservative floor, not a ceiling.
● Half the state's roads and rail and 80% of its bridges already sit in flood-susceptible zones today.
● [They] accounted for both factor-importance and spatial-scale uncertainty, using a Monte Carlo weight-perturbation ensemble and multiscale analysis across nested neighborhoods.
The practical takeaway: this is a statewide screening layer, not a replacement for site-level hydraulic studies. It shows planners and policymakers where the gap between today's protection and tomorrow's risk is widest, and where unmapped peri-urban growth is walking into exposure that regulatory maps still call safe…”
#water #hydrology #hydrography #extremeweather #flood #flooding #Texas #TX #USA #transportation #infrastructure #humanimpacts #risk #hazard #cost #economics #floodsusceptibility #GIS #spatial #mapping #raster #elevation #modeling #model #spatialanalysis #planning #regulation #warning #Kerrville #hazardmapping #floodexposure #inland #coast #urban #urbanisation #development #growth #Houston #lowlying #climatechange #landuse #development #geostatstics #MonteCarlo #regionalscreening #naturalhazard #infrastructureresilience #floodmapping #hydrogeomorphology #geomorphometry #aginginfrastructure

The Growing Threat of Flooding on Transportation Infrastructure Across Texas Through 2100
--
https://doi.org/10.1029/2026EF008207 <--shared paper
--
H/T @Rakibul Ahasan
“[The researchers] modeled flood susceptibility across Texas at 30 m resolution and projected how it shifts through 2100. The headline is not just that flood risk grows, but that it moves, into places current planning and regulatory maps are not watching. The July 2025 Kerrville flooding sat squarely inside the kind of inland hazard expansion this model projects.
KEY TAKEAWAYS:
● 95% of new flood exposure by 2100 is inland, away from the coast, shifting the resilience problem into interior river basins that planning has historically deprioritized.
● Where [they] benchmarked against FEMA's National Flood Hazard Layer, the model flags substantial hidden risk in rapidly urbanizing peri-urban areas, most notably in Greater Houston.
● Climate change alone expands the flood-susceptible footprint by 10–12% by 2100, before any new road or land-use development, so this is a conservative floor, not a ceiling.
● Half the state's roads and rail and 80% of its bridges already sit in flood-susceptible zones today.
● [They] accounted for both factor-importance and spatial-scale uncertainty, using a Monte Carlo weight-perturbation ensemble and multiscale analysis across nested neighborhoods.
The practical takeaway: this is a statewide screening layer, not a replacement for site-level hydraulic studies. It shows planners and policymakers where the gap between today's protection and tomorrow's risk is widest, and where unmapped peri-urban growth is walking into exposure that regulatory maps still call safe…”
#water #hydrology #hydrography #extremeweather #flood #flooding #Texas #TX #USA #transportation #infrastructure #humanimpacts #risk #hazard #cost #economics #floodsusceptibility #GIS #spatial #mapping #raster #elevation #modeling #model #spatialanalysis #planning #regulation #warning #Kerrville #hazardmapping #floodexposure #inland #coast #urban #urbanisation #development #growth #Houston #lowlying #climatechange #landuse #development #geostatstics #MonteCarlo #regionalscreening #naturalhazard #infrastructureresilience #floodmapping #hydrogeomorphology #geomorphometry #aginginfrastructure

The Growing Threat of Flooding on Transportation Infrastructure Across Texas Through 2100
--
https://doi.org/10.1029/2026EF008207 <--shared paper
--
H/T @Rakibul Ahasan
“[The researchers] modeled flood susceptibility across Texas at 30 m resolution and projected how it shifts through 2100. The headline is not just that flood risk grows, but that it moves, into places current planning and regulatory maps are not watching. The July 2025 Kerrville flooding sat squarely inside the kind of inland hazard expansion this model projects.
KEY TAKEAWAYS:
● 95% of new flood exposure by 2100 is inland, away from the coast, shifting the resilience problem into interior river basins that planning has historically deprioritized.
● Where [they] benchmarked against FEMA's National Flood Hazard Layer, the model flags substantial hidden risk in rapidly urbanizing peri-urban areas, most notably in Greater Houston.
● Climate change alone expands the flood-susceptible footprint by 10–12% by 2100, before any new road or land-use development, so this is a conservative floor, not a ceiling.
● Half the state's roads and rail and 80% of its bridges already sit in flood-susceptible zones today.
● [They] accounted for both factor-importance and spatial-scale uncertainty, using a Monte Carlo weight-perturbation ensemble and multiscale analysis across nested neighborhoods.
The practical takeaway: this is a statewide screening layer, not a replacement for site-level hydraulic studies. It shows planners and policymakers where the gap between today's protection and tomorrow's risk is widest, and where unmapped peri-urban growth is walking into exposure that regulatory maps still call safe…”
#water #hydrology #hydrography #extremeweather #flood #flooding #Texas #TX #USA #transportation #infrastructure #humanimpacts #risk #hazard #cost #economics #floodsusceptibility #GIS #spatial #mapping #raster #elevation #modeling #model #spatialanalysis #planning #regulation #warning #Kerrville #hazardmapping #floodexposure #inland #coast #urban #urbanisation #development #growth #Houston #lowlying #climatechange #landuse #development #geostatstics #MonteCarlo #regionalscreening #naturalhazard #infrastructureresilience #floodmapping #hydrogeomorphology #geomorphometry #aginginfrastructure

The Growing Threat of Flooding on Transportation Infrastructure Across Texas Through 2100
--
https://doi.org/10.1029/2026EF008207 <--shared paper
--
H/T @Rakibul Ahasan
“[The researchers] modeled flood susceptibility across Texas at 30 m resolution and projected how it shifts through 2100. The headline is not just that flood risk grows, but that it moves, into places current planning and regulatory maps are not watching. The July 2025 Kerrville flooding sat squarely inside the kind of inland hazard expansion this model projects.
KEY TAKEAWAYS:
● 95% of new flood exposure by 2100 is inland, away from the coast, shifting the resilience problem into interior river basins that planning has historically deprioritized.
● Where [they] benchmarked against FEMA's National Flood Hazard Layer, the model flags substantial hidden risk in rapidly urbanizing peri-urban areas, most notably in Greater Houston.
● Climate change alone expands the flood-susceptible footprint by 10–12% by 2100, before any new road or land-use development, so this is a conservative floor, not a ceiling.
● Half the state's roads and rail and 80% of its bridges already sit in flood-susceptible zones today.
● [They] accounted for both factor-importance and spatial-scale uncertainty, using a Monte Carlo weight-perturbation ensemble and multiscale analysis across nested neighborhoods.
The practical takeaway: this is a statewide screening layer, not a replacement for site-level hydraulic studies. It shows planners and policymakers where the gap between today's protection and tomorrow's risk is widest, and where unmapped peri-urban growth is walking into exposure that regulatory maps still call safe…”
#water #hydrology #hydrography #extremeweather #flood #flooding #Texas #TX #USA #transportation #infrastructure #humanimpacts #risk #hazard #cost #economics #floodsusceptibility #GIS #spatial #mapping #raster #elevation #modeling #model #spatialanalysis #planning #regulation #warning #Kerrville #hazardmapping #floodexposure #inland #coast #urban #urbanisation #development #growth #Houston #lowlying #climatechange #landuse #development #geostatstics #MonteCarlo #regionalscreening #naturalhazard #infrastructureresilience #floodmapping #hydrogeomorphology #geomorphometry #aginginfrastructure

The Growing Threat of Flooding on Transportation Infrastructure Across Texas Through 2100
--
https://doi.org/10.1029/2026EF008207 <--shared paper
--
H/T @Rakibul Ahasan
“[The researchers] modeled flood susceptibility across Texas at 30 m resolution and projected how it shifts through 2100. The headline is not just that flood risk grows, but that it moves, into places current planning and regulatory maps are not watching. The July 2025 Kerrville flooding sat squarely inside the kind of inland hazard expansion this model projects.
KEY TAKEAWAYS:
● 95% of new flood exposure by 2100 is inland, away from the coast, shifting the resilience problem into interior river basins that planning has historically deprioritized.
● Where [they] benchmarked against FEMA's National Flood Hazard Layer, the model flags substantial hidden risk in rapidly urbanizing peri-urban areas, most notably in Greater Houston.
● Climate change alone expands the flood-susceptible footprint by 10–12% by 2100, before any new road or land-use development, so this is a conservative floor, not a ceiling.
● Half the state's roads and rail and 80% of its bridges already sit in flood-susceptible zones today.
● [They] accounted for both factor-importance and spatial-scale uncertainty, using a Monte Carlo weight-perturbation ensemble and multiscale analysis across nested neighborhoods.
The practical takeaway: this is a statewide screening layer, not a replacement for site-level hydraulic studies. It shows planners and policymakers where the gap between today's protection and tomorrow's risk is widest, and where unmapped peri-urban growth is walking into exposure that regulatory maps still call safe…”
#water #hydrology #hydrography #extremeweather #flood #flooding #Texas #TX #USA #transportation #infrastructure #humanimpacts #risk #hazard #cost #economics #floodsusceptibility #GIS #spatial #mapping #raster #elevation #modeling #model #spatialanalysis #planning #regulation #warning #Kerrville #hazardmapping #floodexposure #inland #coast #urban #urbanisation #development #growth #Houston #lowlying #climatechange #landuse #development #geostatstics #MonteCarlo #regionalscreening #naturalhazard #infrastructureresilience #floodmapping #hydrogeomorphology #geomorphometry #aginginfrastructure

Bangkok Post – How Japan lost 3 million people in five years

A seven-month-old baby and her mother look at early flowering Kanzakura cherry blossoms in full bloom at the…
#EuropeSays #Japan #JP #Tokyo #agingpopulation #censusdata #demographiccrisis #demography #economicgrowth #fertilityrate #japanpopulation #labour #labourshortage #population #urbanisation
https://www.europesays.com/japan/33644/

Nature empêchée ou valorisée, les rapports complexes de Marseille à son environnement

Nature empêchée ou valorisée, les rapports complexes de Marseille à son environnement – Marsactu

Nous utilisons…
#Marseille #FR #France #Actu #News #Europe #EU #actu #Actualités #europe #grandsaintbarthelemy #madraguedemontredon #natureenville #Provence-Alpes-Côted'Azur #Républiquefrançaise #Urbanisation #Zalu #ZaluWE
https://www.europesays.com/fr/951310/