#landuseplanning — Public Fediverse posts

Flood And Landslide Susceptibility Assessment And Multi Hazard Interaction Mapping Using Machine Learning And GIS For Sustainable Settlement Planning In Nepal
--
https://doi.org/10.1007/s44288-026-00670-8 <-- shared paper
--
H/T @Narayan Thapa | Earth Data Modeling
“Nepal lies within an active seismic zone and is influenced by most dynamic climatic systems in the world. It faces compounding floods and landslide threats. Impacts are worst where multi-hazard interactions create spatially linked corridors. Despite frequent co-occurrence, national-scale assessments remain limited. This study presents machine learning and GIS-based approach to map nationwide susceptibility to floods, landslides, and identify their potential interaction zones, and delineate critical multi-hazard flow zones through spatial adjacency analysis. Using Google Earth Engine, the Random Forest model integrates topographic, climatic, environmental, and hydrological datasets to overcome subjective expert-driven methods. The model achieved strong predictive accuracy (AUC: 0.84 for floods, 0.85 for landslides). The results showed 19% of Nepal’s lowlands are medium to very highly susceptible to inundation, threatening approximately 900,000 people and over 3.4 million buildings; whilst in the hilly terrains, 40% is susceptible to slope-failure endangering 200,000 people and about 0.6 million buildings. K-means clustering followed by spatial adjacency analysis identified four spatial zonation: 81% of national area as low-hazard zone, 9% as flood-only zone, 5% as landslide-only zone, and 5% as interaction zones. Critical multi-hazard flow zone covering 7,588 km² represents spatially connected corridors linking interaction zones to downstream flood-prone populated areas, affecting 88 km² built-up land and 1,722 km² cropland. These zones represent susceptibility-based spatial connectivity rather than physically simulated cascading processes. These findings support recommendations for risk-informed land-use planning, resilient infrastructure development and climate adaptation aligned to sustainable development and investment risk screening…”
#GIS #spatial #mapping #GoogleEarthEngine #MachineLearning #RemoteSensing #GeospatialAI #DisasterRiskReduction #MultiHazard #ClimateAdaptation #climatechange #extremeweather #LandUsePlanning #SustainableDevelopment #InfrastructurePlanning #RiskAssessment #NaturalHazards #Nepal #EarthObservation #HinduKushHimalaya #HKH #HinduKush #Himalayas #risk #hazard #assessment #national #regional #spatialanalysis #spatiotemporal #massmovement #landslide #assessment #mitigation #water #hydrology #flood #flooding #sustainability

Flood And Landslide Susceptibility Assessment And Multi Hazard Interaction Mapping Using Machine Learning And GIS For Sustainable Settlement Planning In Nepal
--
https://doi.org/10.1007/s44288-026-00670-8 <-- shared paper
--
H/T @Narayan Thapa | Earth Data Modeling
“Nepal lies within an active seismic zone and is influenced by most dynamic climatic systems in the world. It faces compounding floods and landslide threats. Impacts are worst where multi-hazard interactions create spatially linked corridors. Despite frequent co-occurrence, national-scale assessments remain limited. This study presents machine learning and GIS-based approach to map nationwide susceptibility to floods, landslides, and identify their potential interaction zones, and delineate critical multi-hazard flow zones through spatial adjacency analysis. Using Google Earth Engine, the Random Forest model integrates topographic, climatic, environmental, and hydrological datasets to overcome subjective expert-driven methods. The model achieved strong predictive accuracy (AUC: 0.84 for floods, 0.85 for landslides). The results showed 19% of Nepal’s lowlands are medium to very highly susceptible to inundation, threatening approximately 900,000 people and over 3.4 million buildings; whilst in the hilly terrains, 40% is susceptible to slope-failure endangering 200,000 people and about 0.6 million buildings. K-means clustering followed by spatial adjacency analysis identified four spatial zonation: 81% of national area as low-hazard zone, 9% as flood-only zone, 5% as landslide-only zone, and 5% as interaction zones. Critical multi-hazard flow zone covering 7,588 km² represents spatially connected corridors linking interaction zones to downstream flood-prone populated areas, affecting 88 km² built-up land and 1,722 km² cropland. These zones represent susceptibility-based spatial connectivity rather than physically simulated cascading processes. These findings support recommendations for risk-informed land-use planning, resilient infrastructure development and climate adaptation aligned to sustainable development and investment risk screening…”
#GIS #spatial #mapping #GoogleEarthEngine #MachineLearning #RemoteSensing #GeospatialAI #DisasterRiskReduction #MultiHazard #ClimateAdaptation #climatechange #extremeweather #LandUsePlanning #SustainableDevelopment #InfrastructurePlanning #RiskAssessment #NaturalHazards #Nepal #EarthObservation #HinduKushHimalaya #HKH #HinduKush #Himalayas #risk #hazard #assessment #national #regional #spatialanalysis #spatiotemporal #massmovement #landslide #assessment #mitigation #water #hydrology #flood #flooding #sustainability

Flood And Landslide Susceptibility Assessment And Multi Hazard Interaction Mapping Using Machine Learning And GIS For Sustainable Settlement Planning In Nepal
--
https://doi.org/10.1007/s44288-026-00670-8 <-- shared paper
--
H/T @Narayan Thapa | Earth Data Modeling
“Nepal lies within an active seismic zone and is influenced by most dynamic climatic systems in the world. It faces compounding floods and landslide threats. Impacts are worst where multi-hazard interactions create spatially linked corridors. Despite frequent co-occurrence, national-scale assessments remain limited. This study presents machine learning and GIS-based approach to map nationwide susceptibility to floods, landslides, and identify their potential interaction zones, and delineate critical multi-hazard flow zones through spatial adjacency analysis. Using Google Earth Engine, the Random Forest model integrates topographic, climatic, environmental, and hydrological datasets to overcome subjective expert-driven methods. The model achieved strong predictive accuracy (AUC: 0.84 for floods, 0.85 for landslides). The results showed 19% of Nepal’s lowlands are medium to very highly susceptible to inundation, threatening approximately 900,000 people and over 3.4 million buildings; whilst in the hilly terrains, 40% is susceptible to slope-failure endangering 200,000 people and about 0.6 million buildings. K-means clustering followed by spatial adjacency analysis identified four spatial zonation: 81% of national area as low-hazard zone, 9% as flood-only zone, 5% as landslide-only zone, and 5% as interaction zones. Critical multi-hazard flow zone covering 7,588 km² represents spatially connected corridors linking interaction zones to downstream flood-prone populated areas, affecting 88 km² built-up land and 1,722 km² cropland. These zones represent susceptibility-based spatial connectivity rather than physically simulated cascading processes. These findings support recommendations for risk-informed land-use planning, resilient infrastructure development and climate adaptation aligned to sustainable development and investment risk screening…”
#GIS #spatial #mapping #GoogleEarthEngine #MachineLearning #RemoteSensing #GeospatialAI #DisasterRiskReduction #MultiHazard #ClimateAdaptation #climatechange #extremeweather #LandUsePlanning #SustainableDevelopment #InfrastructurePlanning #RiskAssessment #NaturalHazards #Nepal #EarthObservation #HinduKushHimalaya #HKH #HinduKush #Himalayas #risk #hazard #assessment #national #regional #spatialanalysis #spatiotemporal #massmovement #landslide #assessment #mitigation #water #hydrology #flood #flooding #sustainability

Flood And Landslide Susceptibility Assessment And Multi Hazard Interaction Mapping Using Machine Learning And GIS For Sustainable Settlement Planning In Nepal
--
https://doi.org/10.1007/s44288-026-00670-8 <-- shared paper
--
H/T @Narayan Thapa | Earth Data Modeling
“Nepal lies within an active seismic zone and is influenced by most dynamic climatic systems in the world. It faces compounding floods and landslide threats. Impacts are worst where multi-hazard interactions create spatially linked corridors. Despite frequent co-occurrence, national-scale assessments remain limited. This study presents machine learning and GIS-based approach to map nationwide susceptibility to floods, landslides, and identify their potential interaction zones, and delineate critical multi-hazard flow zones through spatial adjacency analysis. Using Google Earth Engine, the Random Forest model integrates topographic, climatic, environmental, and hydrological datasets to overcome subjective expert-driven methods. The model achieved strong predictive accuracy (AUC: 0.84 for floods, 0.85 for landslides). The results showed 19% of Nepal’s lowlands are medium to very highly susceptible to inundation, threatening approximately 900,000 people and over 3.4 million buildings; whilst in the hilly terrains, 40% is susceptible to slope-failure endangering 200,000 people and about 0.6 million buildings. K-means clustering followed by spatial adjacency analysis identified four spatial zonation: 81% of national area as low-hazard zone, 9% as flood-only zone, 5% as landslide-only zone, and 5% as interaction zones. Critical multi-hazard flow zone covering 7,588 km² represents spatially connected corridors linking interaction zones to downstream flood-prone populated areas, affecting 88 km² built-up land and 1,722 km² cropland. These zones represent susceptibility-based spatial connectivity rather than physically simulated cascading processes. These findings support recommendations for risk-informed land-use planning, resilient infrastructure development and climate adaptation aligned to sustainable development and investment risk screening…”
#GIS #spatial #mapping #GoogleEarthEngine #MachineLearning #RemoteSensing #GeospatialAI #DisasterRiskReduction #MultiHazard #ClimateAdaptation #climatechange #extremeweather #LandUsePlanning #SustainableDevelopment #InfrastructurePlanning #RiskAssessment #NaturalHazards #Nepal #EarthObservation #HinduKushHimalaya #HKH #HinduKush #Himalayas #risk #hazard #assessment #national #regional #spatialanalysis #spatiotemporal #massmovement #landslide #assessment #mitigation #water #hydrology #flood #flooding #sustainability

Flood And Landslide Susceptibility Assessment And Multi Hazard Interaction Mapping Using Machine Learning And GIS For Sustainable Settlement Planning In Nepal
--
https://doi.org/10.1007/s44288-026-00670-8 <-- shared paper
--
H/T @Narayan Thapa | Earth Data Modeling
“Nepal lies within an active seismic zone and is influenced by most dynamic climatic systems in the world. It faces compounding floods and landslide threats. Impacts are worst where multi-hazard interactions create spatially linked corridors. Despite frequent co-occurrence, national-scale assessments remain limited. This study presents machine learning and GIS-based approach to map nationwide susceptibility to floods, landslides, and identify their potential interaction zones, and delineate critical multi-hazard flow zones through spatial adjacency analysis. Using Google Earth Engine, the Random Forest model integrates topographic, climatic, environmental, and hydrological datasets to overcome subjective expert-driven methods. The model achieved strong predictive accuracy (AUC: 0.84 for floods, 0.85 for landslides). The results showed 19% of Nepal’s lowlands are medium to very highly susceptible to inundation, threatening approximately 900,000 people and over 3.4 million buildings; whilst in the hilly terrains, 40% is susceptible to slope-failure endangering 200,000 people and about 0.6 million buildings. K-means clustering followed by spatial adjacency analysis identified four spatial zonation: 81% of national area as low-hazard zone, 9% as flood-only zone, 5% as landslide-only zone, and 5% as interaction zones. Critical multi-hazard flow zone covering 7,588 km² represents spatially connected corridors linking interaction zones to downstream flood-prone populated areas, affecting 88 km² built-up land and 1,722 km² cropland. These zones represent susceptibility-based spatial connectivity rather than physically simulated cascading processes. These findings support recommendations for risk-informed land-use planning, resilient infrastructure development and climate adaptation aligned to sustainable development and investment risk screening…”
#GIS #spatial #mapping #GoogleEarthEngine #MachineLearning #RemoteSensing #GeospatialAI #DisasterRiskReduction #MultiHazard #ClimateAdaptation #climatechange #extremeweather #LandUsePlanning #SustainableDevelopment #InfrastructurePlanning #RiskAssessment #NaturalHazards #Nepal #EarthObservation #HinduKushHimalaya #HKH #HinduKush #Himalayas #risk #hazard #assessment #national #regional #spatialanalysis #spatiotemporal #massmovement #landslide #assessment #mitigation #water #hydrology #flood #flooding #sustainability

Norway boosts food sovereignty via innovation, research

In countries across the globe, the changing world order is bringing new focus to the concept of food…
#Norway #NO #Europe #Europa #EU #cereals #drones #fertilizer #foodpolicy #foodsecurity #foodsovereignty #landuseplanning #Noreg #Norge #norway #nyheter #oilseeds #potatoes #research #wheat
https://www.europesays.com/2995557/

https://www.europesays.com/uk/822254/ From Cloud to Coast: The Physical Cost of AI in Hong Kong’s Borderlands #Agriculture #AI&TheArchitect'sCraft #Architecture #ArtificialIntelligence #Arts #ArtsAndDesign #BuiltEnvironment #CoastalDesign #DataCenter #Design #Development #Entertainment #FishFarm #HongKongSAR #LandUsePlanning #masterplanning #Planning #Policy #PublicPolicy #Technology #UK #UnitedKingdom #UrbanDesign #UrbanPlaning #wetland #Zoning

https://www.europesays.com/ie/382189/ From Cloud to Coast: The Physical Cost of AI in Hong Kong’s Borderlands #Agriculture #AI&TheArchitect'sCraft #Architecture #ArtificialIntelligence #Arts #ArtsAndDesign #ArtsAndDesign #ArtsDesign #BuiltEnvironment #CoastalDesign #DataCenter #Design #Development #Éire #Entertainment #FishFarm #HongKongSAR #IE #Ireland #LandUsePlanning #masterplanning #Planning #Policy #PublicPolicy #Technology #UrbanDesign #UrbanPlaning #wetland #Zoning

https://www.europesays.com/ie/195281/ Officials issue warning as new maps reveal looming threat along coastline: ‘Everybody should see it’ #CoastReporter #CoastalFlooding #CollaborativeProject #Éire #GlobalTemperatures #Health #IE #Ireland #LandUsePlanning #PristineCoastline #RisingSeaLevels #SCRD #SeaLevels #SunshineCoast

Chính phủ ban hành nghị quyết mới, tháo gỡ vướng mắc quy hoạch sử dụng đất cho các dự án đang bị đình trệ. Hy vọng các dự án sẽ sớm được triển khai!
#quyhoachsudungdat #batdongsan #chinhphu #landuseplanning #realestate #government

https://vietnamnet.vn/chinh-phu-go-vuong-quy-hoach-dat-dai-mo-duong-cho-du-an-khong-bi-chon-chan-2442849.html

Cities winning the race to outer space 2025 REWRITE

Throughout history, ease of trade, commerce, and connectivity has played vital roles in determining which cities prosper and thrive. Seaports, canals, railroads, and highways have all determined urban winners and losers.   Today, the airport is the principle success determiner. Cities ranging from Dallas-Fort Worth, to Orlando, to Denver to Hong Kong, to Amsterdam, to Memphis, to Detroit, to Beijing, and to Anchorage have benefitted from establishing and maintaining cutting-edge aviation infrastructure.  This applies to passenger, overnight, air freight, or seaplane facilities.

This begs the question of what next? What mode of transportation will be the next conduit to increased trade, economic growth, and regional prosperity? In this planner’s opinion, those cities that become nodes of space travel and/or infrastructure will move ahead of the crowd by the middle of the 21st century. Because of previous investments, there are a number of cities that are well ahead of the pack. That fact, combined with limitations on the number of spaceports that the market can realistically support, will give the cities listed below a leg up on the competition and make them odd’s on favorites. Nevertheless, other cities around the globe may be able to ingenuously latch on to this futuristic growth engine.

Below is an updated list of those cities/metro regions in the United States (in alphabetical order) that are either already at the forefront of the urban space race or may become a potential contender, along with the reason(s) why. Not all have to be launch facilities, as research, control and tracking centers are also important. Those listed in bold are currently believed to be the leading metros in this space race. Other cities around the globe are listed separately.

Please feel free to suggest others that may have been missed in this update. Those sites (existing and proposed) which are in very remote locations were not included on the list. Weblinks to sources are provided at the end of the post.

Peace!

_______

• Albuquerque-Socorro, New Mexico: Very Large Array (VLA) and Sandia National Laboratories/Kirtland AFB
• Bakersfield-Mojave, California: Mojave Air and Spaceport
• Brownsville, Texas: Boca Chica/Space X
• Cleveland, Ohio: Glenn NASA Research Center
• Clinton, Oklahoma: Oklahoma Spaceport
• Colorado Springs, Colorado:U.S. Space Force Command HQ, Peterson Space Force Base, and Schriever Space Force Base
• Denver, Colorado: Colorado Air & Space Port and Buckley Space Force Base
• El Paso-Las Cruces-Alamagordo, Texas/New Mexico: NASA White Sands Test Facility, White Sands Missile Range, Spaceport America,and Lunch Site One/Blue Origin Spaceport
• Greater Los Angeles, California: NASA Jet Propulsion Laboratory, Los Angeles Space Force Base, and Edwards AFB/Spaceport
• Hampton Roads, Virginia: NASA Langley Research Center, Mid-Atlantic Regional Spaceport – see photo above, Wallops Flight Facility
• Houston, Texas: Johnson Space Center and Houston Spaceport
• Huntsville, Alabama: Marshall Space Flight Center, Redstone Arsenal, Space Camp, and Huntsville International Air & Space Port
• Jacksonville, Florida: Cecil Field Spaceport and Spaceport Camden (Georgia)
• Kodiak, Alaska: Pacific Spaceport Complex
• Las Vegas, Nevada: Nellis AFB facilities and Nevada Test Site
• Lompoc-Santa Maria, California: Vandenberg Air/Space Force Base and Launch Facility
• Melbourne-Palm Bay-Titusville, Florida: Kennedy Space Center, Patrick Space Force Base, and Spaceport Florida
• Midland-Odessa, Texas: Midland Spaceport
• Picayune-New Orleans area, Mississippi: Stennis Space Center
• Washington, DC: NASA HQ, Goddard Space Flight Center, the Pentagon, and other federal departments

Other cities around the world who are (or may become) leading contenders in the urban space race include (in alphabetical order):

• Alcantara/San Luis, Brazil: Alcantara Launch Center
• Arkhangelsk, Russia: Plesetek Cosmodrome
• Dongfeng Aerospace City, China: Jiuquan Satellite Launch Center
• Kimotsuki, Japan: Uchinoura Space Center
• Kiruna, Sweden: Spaceport Sweden
• Kourou, French Guiana: Centre Spatial Guyanais European Spaceport
• Malacca City, Malaysia: Spaceport Malaysia
• Natal, Brazil: Barreirra do Inferno Launch Center
• Sao Paulo, Brazil: Brazilian Mission Control
• Semnan, Iran: Iranian Space Agency
• Sri City, India: Satish Dhawan Space Centre
• Svobodny, Russia: Vostochny Cosmodrome
• Tanegashima, Japan: Tanegashima Space Center
• Tel Aviv, Israel: Palmachim Airbase
• Volgograd, Russia: Kapustin Yar Cosmodrome
• Willemstad, Curacao: Spaceport Curacao
• Xichang, China: Xichang Satellite Launch Center
• Yasny, Russia: Dombarovsky Air Base/Cosmodrome

SOURCES

• http://en.wikipedia.org/wiki/Spaceport
• http://en.wikipedia.org/wiki/File:Spaceports.gif
• http://www.okspaceport.state.ok.us/facilityhistory.html
• http://www.spaceflorida.gov/
• https://www.faa.gov/about/office_org/headquarters_offices/ast/media/Developments and Concepts January 2009.pdf
• http://cecilfieldspaceport.com/
• http://en.wikipedia.org/wiki/Spaceport_Sheboygan
• http://www.spaceportsheboygan.com/
• http://www.spacefuture.com/archive/spaceport_business_potential_markets_thru_2020.shtml
• http://www.newspacejournal.com/2012/04/10/spacex-moving-ahead-with-texas-spaceport-plan/
• http://en.wikipedia.org/wiki/Corn_Ranch
• http://www.spacetoday.org/Rockets/Spaceports/Brazil.html
• http://www.commercialspaceflight.org/programs/csf-spaceports-council/
• http://www.braeunig.us/space/center.htm
• http://en.wikipedia.org/wiki/Barreira_do_Inferno_Launch_Center
• http://www.spaceportindiana.com/Index/index.php
• http://www.thespacereview.com/article/1545/1
• https://www.faa.gov/space/spaceports_by_state
• https://en.wikipedia.org/wiki/Tanegashima_Space_Center
• https://www.spaceforce.mil/About-Us/Space-Force-Locations/

#aerospace #astronomy #aviation #landUsePlanning #outerSpace #rockets #Science #space #spaceExploration #spaceTravel #spaceports #technology #transportation #transportationPlanning #travel #urbanPlanning

Cities winning the race to outer space: 2025 REWRITE

Throughout history, ease of trade, commerce, and connectivity has played vital roles in determining which cities prosper and thrive. Seaports, canals, railroads, and highways have all determined urban winners and losers.   Today, the airport is the principle success determiner. Cities ranging from Dallas-Fort Worth, to Orlando, to Denver to Hong Kong, to Amsterdam, to Memphis, to Detroit, to Beijing, and to Anchorage have benefitted from establishing and maintaining cutting-edge aviation infrastructure.  This applies to passenger, overnight, air freight, or seaplane facilities.

This begs the question of what next? What mode of transportation will be the next conduit to increased trade, economic growth, and regional prosperity? In this planner’s opinion, those cities that become nodes of space travel and/or infrastructure will move ahead of the crowd by the middle of the 21st century. Because of previous investments, there are a number of cities that are well ahead of the pack. That fact, combined with limitations on the number of spaceports that the market can realistically support, will give the cities listed below a leg up on the competition and make them odd’s on favorites. Nevertheless, other cities around the globe may be able to ingenuously latch on to this futuristic growth engine.

Below is an updated list of those cities/metro regions in the United States (in alphabetical order) that are either already at the forefront of the urban space race or may become a potential contender, along with the reason(s) why. Not all have to be launch facilities, as research, control and tracking centers are also important. Those listed in bold are currently believed to be the leading metros in this space race. Other cities around the globe are listed separately.

Please feel free to suggest others that may have been missed in this update. Those sites (existing and proposed) which are in very remote locations were not included on the list. Weblinks to sources are provided at the end of the post.

Peace!

_______

• Albuquerque-Socorro, New Mexico: Very Large Array (VLA) and Sandia National Laboratories/Kirtland AFB
• Bakersfield-Mojave, California: Mojave Air and Spaceport
• Brownsville, Texas: Boca Chica/Space X
• Cleveland, Ohio: Glenn NASA Research Center
• Clinton, Oklahoma: Oklahoma Spaceport
• Colorado Springs, Colorado:U.S. Space Force Command HQ, Peterson Space Force Base, and Schriever Space Force Base
• Denver, Colorado: Colorado Air & Space Port and Buckley Space Force Base
• El Paso-Las Cruces-Alamagordo, Texas/New Mexico: NASA White Sands Test Facility, White Sands Missile Range, Spaceport America,and Lunch Site One/Blue Origin Spaceport
• Greater Los Angeles, California: NASA Jet Propulsion Laboratory, Los Angeles Space Force Base, and Edwards AFB/Spaceport
• Hampton Roads, Virginia: NASA Langley Research Center, Mid-Atlantic Regional Spaceport – see photo above, Wallops Flight Facility
• Houston, Texas: Johnson Space Center and Houston Spaceport
• Huntsville, Alabama: Marshall Space Flight Center, Redstone Arsenal, Space Camp, and Huntsville International Air & Space Port
• Jacksonville, Florida: Cecil Field Spaceport and Spaceport Camden (Georgia)
• Kodiak, Alaska: Pacific Spaceport Complex
• Las Vegas, Nevada: Nellis AFB facilities and Nevada Test Site
• Lompoc-Santa Maria, California: Vandenberg Air/Space Force Base and Launch Facility
• Melbourne-Palm Bay-Titusville, Florida: Kennedy Space Center, Patrick Space Force Base, and Spaceport Florida
• Midland-Odessa, Texas: Midland Spaceport
• Picayune-New Orleans area, Mississippi: Stennis Space Center
• Washington, DC: NASA HQ, Goddard Space Flight Center, the Pentagon, and other federal departments

Other cities around the world who are (or may become) leading contenders in the urban space race include (in alphabetical order):

• Alcantara/San Luis, Brazil: Alcantara Launch Center
• Arkhangelsk, Russia: Plesetek Cosmodrome
• Dongfeng Aerospace City, China: Jiuquan Satellite Launch Center
• Kimotsuki, Japan: Uchinoura Space Center
• Kiruna, Sweden: Spaceport Sweden
• Kourou, French Guiana: Centre Spatial Guyanais European Spaceport
• Malacca City, Malaysia: Spaceport Malaysia
• Natal, Brazil: Barreirra do Inferno Launch Center
• Sao Paulo, Brazil: Brazilian Mission Control
• Semnan, Iran: Iranian Space Agency
• Sri City, India: Satish Dhawan Space Centre
• Svobodny, Russia: Vostochny Cosmodrome
• Tanegashima, Japan: Tanegashima Space Center
• Tel Aviv, Israel: Palmachim Airbase
• Volgograd, Russia: Kapustin Yar Cosmodrome
• Willemstad, Curacao: Spaceport Curacao
• Xichang, China: Xichang Satellite Launch Center
• Yasny, Russia: Dombarovsky Air Base/Cosmodrome

SOURCES

• http://en.wikipedia.org/wiki/Spaceport
• http://en.wikipedia.org/wiki/File:Spaceports.gif
• http://www.okspaceport.state.ok.us/facilityhistory.html
• http://www.spaceflorida.gov/
• https://www.faa.gov/about/office_org/headquarters_offices/ast/media/Developments and Concepts January 2009.pdf
• http://cecilfieldspaceport.com/
• http://en.wikipedia.org/wiki/Spaceport_Sheboygan
• http://www.spaceportsheboygan.com/
• http://www.spacefuture.com/archive/spaceport_business_potential_markets_thru_2020.shtml
• http://www.newspacejournal.com/2012/04/10/spacex-moving-ahead-with-texas-spaceport-plan/
• http://en.wikipedia.org/wiki/Corn_Ranch
• http://www.spacetoday.org/Rockets/Spaceports/Brazil.html
• http://www.commercialspaceflight.org/programs/csf-spaceports-council/
• http://www.braeunig.us/space/center.htm
• http://en.wikipedia.org/wiki/Barreira_do_Inferno_Launch_Center
• http://www.spaceportindiana.com/Index/index.php
• http://www.thespacereview.com/article/1545/1
• https://www.faa.gov/space/spaceports_by_state
• https://en.wikipedia.org/wiki/Tanegashima_Space_Center
• https://www.spaceforce.mil/About-Us/Space-Force-Locations/

#aerospace #astronomy #aviation #landUsePlanning #outerSpace #rockets #Science #space #spaceExploration #spaceTravel #spaceports #technology #transportation #transportationPlanning #travel #urbanPlanning

🎈New article out in Urban Planning - in time with #AESOP2024: 'Post-Growth Ambitions and Growth-Based Realities in Sustainable Land-Use Planning'. #postgrowthplanning #postgrowth #landuseplanning #spatialplanning @postgrowthplan https://doi.org/10.17645/up.7881

🎈New article out in Urban Planning - in time with #AESOP2024: 'Post-Growth Ambitions and Growth-Based Realities in Sustainable Land-Use Planning'. #postgrowthplanning #postgrowth #landuseplanning #spatialplanning @postgrowthplan https://doi.org/10.17645/up.7881

🎈New article out in Urban Planning - in time with #AESOP2024: 'Post-Growth Ambitions and Growth-Based Realities in Sustainable Land-Use Planning'. #postgrowthplanning #postgrowth #landuseplanning #spatialplanning @postgrowthplan https://doi.org/10.17645/up.7881

On my way to #aesop2024 conference in Paris to present the last paper of my PhD on escalation processes in #LandUseConflicts. Is anyone else attending?
#EnvironmentalPlanning #LandUsePlanning
@geography

On my way to #aesop2024 conference in Paris to present the last paper of my PhD on escalation processes in #LandUseConflicts. Is anyone else attending?
#EnvironmentalPlanning #LandUsePlanning
@geography

On my way to #aesop2024 conference in Paris to present the last paper of my PhD on escalation processes in #LandUseConflicts. Is anyone else attending?
#EnvironmentalPlanning #LandUsePlanning
@geography

On my way to #aesop2024 conference in Paris to present the last paper of my PhD on escalation processes in #LandUseConflicts. Is anyone else attending?
#EnvironmentalPlanning #LandUsePlanning
@geography

On my way to #aesop2024 conference in Paris to present the last paper of my PhD on escalation processes in #LandUseConflicts. Is anyone else attending?
#EnvironmentalPlanning #LandUsePlanning
@geography

World's Beaches Are Changing Because Of Climate Change
--
https://theconversation.com/worlds-beaches-are-changing-because-of-climate-change-green-thinking-is-needed-to-save-them-211953 <-- shared article
--
https://doi.org/10.1080/03736245.2023.2193565 <-- shared paper
--
#GIS #spatial #mapping #anthropogenic #climatechange #coast #coastline #coastalprocesses #greeninfrastructure #sandybeaches #beaches #mitigation #coastalengineering #coastalcommunities #mangroves #rockyshorelines #rivers #estuaries #hydro #water #hydrospatial #sanddunes #landforms #geomorphology #sealevel #SLR #sealevelrise #Anthropocene #sediment #sedimentation #innundation #erosion #protection #urbanisation #landusechange #landuseplanning #planning #resilience #ecosystems #environmental #solutions #ecology #engineeringgeology #southafrica

World's Beaches Are Changing Because Of Climate Change
--
https://theconversation.com/worlds-beaches-are-changing-because-of-climate-change-green-thinking-is-needed-to-save-them-211953 <-- shared article
--
https://doi.org/10.1080/03736245.2023.2193565 <-- shared paper
--
#GIS #spatial #mapping #anthropogenic #climatechange #coast #coastline #coastalprocesses #greeninfrastructure #sandybeaches #beaches #mitigation #coastalengineering #coastalcommunities #mangroves #rockyshorelines #rivers #estuaries #hydro #water #hydrospatial #sanddunes #landforms #geomorphology #sealevel #SLR #sealevelrise #Anthropocene #sediment #sedimentation #innundation #erosion #protection #urbanisation #landusechange #landuseplanning #planning #resilience #ecosystems #environmental #solutions #ecology #engineeringgeology #southafrica

World's Beaches Are Changing Because Of Climate Change
--
https://theconversation.com/worlds-beaches-are-changing-because-of-climate-change-green-thinking-is-needed-to-save-them-211953 <-- shared article
--
https://doi.org/10.1080/03736245.2023.2193565 <-- shared paper
--
#GIS #spatial #mapping #anthropogenic #climatechange #coast #coastline #coastalprocesses #greeninfrastructure #sandybeaches #beaches #mitigation #coastalengineering #coastalcommunities #mangroves #rockyshorelines #rivers #estuaries #hydro #water #hydrospatial #sanddunes #landforms #geomorphology #sealevel #SLR #sealevelrise #Anthropocene #sediment #sedimentation #innundation #erosion #protection #urbanisation #landusechange #landuseplanning #planning #resilience #ecosystems #environmental #solutions #ecology #engineeringgeology #southafrica

World's Beaches Are Changing Because Of Climate Change
--
https://theconversation.com/worlds-beaches-are-changing-because-of-climate-change-green-thinking-is-needed-to-save-them-211953 <-- shared article
--
https://doi.org/10.1080/03736245.2023.2193565 <-- shared paper
--
#GIS #spatial #mapping #anthropogenic #climatechange #coast #coastline #coastalprocesses #greeninfrastructure #sandybeaches #beaches #mitigation #coastalengineering #coastalcommunities #mangroves #rockyshorelines #rivers #estuaries #hydro #water #hydrospatial #sanddunes #landforms #geomorphology #sealevel #SLR #sealevelrise #Anthropocene #sediment #sedimentation #innundation #erosion #protection #urbanisation #landusechange #landuseplanning #planning #resilience #ecosystems #environmental #solutions #ecology #engineeringgeology #southafrica

World's Beaches Are Changing Because Of Climate Change
--
https://theconversation.com/worlds-beaches-are-changing-because-of-climate-change-green-thinking-is-needed-to-save-them-211953 <-- shared article
--
https://doi.org/10.1080/03736245.2023.2193565 <-- shared paper
--
#GIS #spatial #mapping #anthropogenic #climatechange #coast #coastline #coastalprocesses #greeninfrastructure #sandybeaches #beaches #mitigation #coastalengineering #coastalcommunities #mangroves #rockyshorelines #rivers #estuaries #hydro #water #hydrospatial #sanddunes #landforms #geomorphology #sealevel #SLR #sealevelrise #Anthropocene #sediment #sedimentation #innundation #erosion #protection #urbanisation #landusechange #landuseplanning #planning #resilience #ecosystems #environmental #solutions #ecology #engineeringgeology #southafrica

Land-use planning, relief programs, and advanced water systems for new developments are some of the drought management and water conservation strategies highlighted in the latest edition of our solution newsletter.

Check it out at https://mailchi.mp/unl.edu/dry-horizons-february-2023.

#landuseplanning #water #waterconservation #drought #solutions #science

Land-use planning, relief programs, and advanced water systems for new developments are some of the drought management and water conservation strategies highlighted in the latest edition of our solution newsletter.

Check it out at https://mailchi.mp/unl.edu/dry-horizons-february-2023.

#landuseplanning #water #waterconservation #drought #solutions #science

Land-use planning, relief programs, and advanced water systems for new developments are some of the drought management and water conservation strategies highlighted in the latest edition of our solution newsletter.

Check it out at https://mailchi.mp/unl.edu/dry-horizons-february-2023.

#landuseplanning #water #waterconservation #drought #solutions #science

Realizing I need to use hashtags here #climate #landuseplanning

#ClimateChange increases the frequency of #cyclones in #India. It shows the vulnerability to #HeavyRain, #storm and #flooding. The impact of cyclone #Nisarga (#Maharashtra #Gujarat) and #Amphan (#WestBengal #Odisha) have reinforced the urgency of #ClimateChangeAdaptation and #DisasterRiskManagement: #Adaptation such as protecting #mangroves and #wetlands, #EarlyWarningSystems, #LandUsePlanning and infrastructure like #drainage systems.

https://science.thewire.in/environment/india-cyclones-climate-change-reslience
#Mumbai #Kolkata #IPCC

#ClimateChange increases the frequency of #cyclones in #India. It shows the vulnerability to #HeavyRain, #storm and #flooding. The impact of cyclone #Nisarga (#Maharashtra #Gujarat) and #Amphan (#WestBengal #Odisha) have reinforced the urgency of #ClimateChangeAdaptation and #DisasterRiskManagement: #Adaptation such as protecting #mangroves and #wetlands, #EarlyWarningSystems, #LandUsePlanning and infrastructure like #drainage systems.

https://science.thewire.in/environment/india-cyclones-climate-change-reslience
#Mumbai #Kolkata #IPCC

#IMPACTS FOR #RURALDEVELOPMENT – LAND-USE PLANNING IN THE PHILIPPINES
Gerald Leppert, Malte Lech

This is the second policy brief of the #DEval #RigorousImpactEvaluation "Impact, Diffusion and Scaling-Up of a Comprehensive #LandUsePlanning Approach in the #Philippines. From #DevelopmentCooperation to National Policies"

https://www.deval.org/files/content/Dateien/Evaluierung/Policy%20Briefs/2019/DEval_Policy%20Brief_2.19_Philippines.pdf

#ImpactEvaluation #MixedMethods #GlobalDevelopment #SocialRiskManagement #Disasterriskmanagement #LaendlicheEntwicklung #Entwicklungszusammenarbeit

HASHTAGS

#Evaluation #Deval #DevelopmentCooperation

#RuralDevelopment #ClimateChange #ClimateChangeAdaptation #CCA #LandUsePlanning #DisasterRiskManagement #DRM

#Evaluierung #DEval #Entwicklungszusammenarbeit

#LaendlicheEntwicklung #Klimawandel #Anpassung #Katastrophenvorsorge