#remote-sensing — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #remote-sensing, aggregated by home.social.
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Coming soon: #QGIS Plugins Website v4.0.0
Which plugin will you load first?
https://buff.ly/J1QGU8Z -
Coming soon: #QGIS Plugins Website v4.0.0
Which plugin will you load first?
https://buff.ly/J1QGU8Z -
#Introduction — I'm a geospatial scientist (PhD, Earth System & Geoinformation Science) and I teach GIS and remote sensing at the University of North Dakota.
I build Earth-observation pipelines and GeoAI models for drought, vegetation, water quality, and land-governance problems — much of it focused on Cameroon.
Posting about #RemoteSensing #GIS #EarthObservation #DataScience and reproducible science.
Portfolio: https://github.com/mbongowo/Data-science-Portfolio
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#Introduction — I'm a geospatial scientist (PhD, Earth System & Geoinformation Science) and I teach GIS and remote sensing at the University of North Dakota.
I build Earth-observation pipelines and GeoAI models for drought, vegetation, water quality, and land-governance problems — much of it focused on Cameroon.
Posting about #RemoteSensing #GIS #EarthObservation #DataScience and reproducible science.
Portfolio: https://github.com/mbongowo/Data-science-Portfolio
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I guess you 🫵 are interested in Earth observation and remote sensing, right?
If you are on BlueSky too, why not subscribing to the EO & RS feed? It gives you all posts tagged with #earthobsevation, #earthobs, #eochat and #remotesensing
https://bsky.app/profile/did:plc:b7du2x5ynpuiatjib4qfanmc/feed/aaabyz5tgqvs2 -
I guess you 🫵 are interested in Earth observation and remote sensing, right?
If you are on BlueSky too, why not subscribing to the EO & RS feed? It gives you all posts tagged with #earthobsevation, #earthobs, #eochat and #remotesensing
https://bsky.app/profile/did:plc:b7du2x5ynpuiatjib4qfanmc/feed/aaabyz5tgqvs2 -
IPERLITE the Belgian hyperspectral mission, lead by VITO and founded by ESA and BELSPO. The commissioning phase is almost completed.
More about the mission on EOPedia
👉️ https://www.eopedia.org/index.php?title=IPERLITE -
IPERLITE the Belgian hyperspectral mission, lead by VITO and founded by ESA and BELSPO. The commissioning phase is almost completed.
More about the mission on EOPedia
👉️ https://www.eopedia.org/index.php?title=IPERLITE -
Have a safe trip!
FLEX and Sentinel-3C travel from Nice for French Guiana: There they will launch aboard a Vega-C rocket this September.EXCITED! 🤩
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Have a safe trip!
FLEX and Sentinel-3C travel from Nice for French Guiana: There they will launch aboard a Vega-C rocket this September.EXCITED! 🤩
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The Asset Library of the EOMasters Pro Toolbox helps you to organise and quickly access the items you often use in your daily work. Either Geometries, expression or mask definitions.
Check out: https://www.eomasters.org/eom-software/eomtbx-pro
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The Asset Library of the EOMasters Pro Toolbox helps you to organise and quickly access the items you often use in your daily work. Either Geometries, expression or mask definitions.
Check out: https://www.eomasters.org/eom-software/eomtbx-pro
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Optical, Radar, And Hybrid Indices To Detect Farming Practices In Europe
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https://doi.org/10.1016/j.rse.2026.115553 <-- shared paper
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“HIGHLIGHTS:
• [they] compare[d] Sentinel-1 and Sentinel-2 time series to detect farming practices.
• HyBRIS index is introduced, temporally weighting BSI and VH/VV into a daily index.
• Time-series minima and maxima are used to predict sowing, harvest, and tillage.
• Validation is performed across several years, crop types, and European locations.
• Phenology detection is improved compared to HRL-Cropland.
ABSTRACT: Arable farming practices dictate both crop cycles and soil dynamics, and are central to agriculture's environmental impact and its mitigation. Sowing and harvesting mark the beginning and end of the growing season, while tillage modifies soil structure during the dormant period. Although well-established methods exist for delineating the growing season using phenology and optical data, the detection of farming practices, particularly tillage, remains underexplored. This study investigates the strengths of radar and optical data to retrieve sowing, harvest, and tillage dates at the field level, and proposes a novel Hybrid Bare Soil Radar Index (HyBRIS). Based on Sentinel-1 and Sentinel-2, HyBRIS merges optical and radar data into a single index using a temporally weighted mean. Local minima and maxima of the time series are used to detect farming practices across European sites. Validation is carried out against a reference dataset comprising 238 fields in 11 EU countries, including 462 sowing, 374 harvest, and 388 tillage events covering more than 40 crop types over 8 years. Compared to the Copernicus High Resolution Layer Croplands product (HRL-Cropland), the proposed method based on HyBRIS time series improved sowing and harvest dates detection (MAE 26 and 23 days, respectively). Additionally, this method enabled tillage dates estimation during dormant periods (MAE = 28 days), but tended to overestimate the number of tillage events (producer's accuracy = 97%, user's accuracy = 70%). Incorporating soil moisture data is advised for reducing false positives. The results highlight the potential of optical, radar, and hybrid indices for monitoring agricultural management and supporting environmental stewardship…”
#Sowing #Harvest #tillage #tillagedetection #cropland #CroplandManagement #remotesensing #earthobservation #sentinel #Copernicus #cropland #satellite #optical #radar #sensor #landuse #landcover #landsurface #phenology #agricultural #monitoring #GIS #spatial #mapping #spatialanalysis #spatiotemporal #arable #farming #agriculture #soil #substrate #environment #sustainability #environmentalstewardship #growingseason #Europe #region #model #modeling -
Optical, Radar, And Hybrid Indices To Detect Farming Practices In Europe
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https://doi.org/10.1016/j.rse.2026.115553 <-- shared paper
--
“HIGHLIGHTS:
• [they] compare[d] Sentinel-1 and Sentinel-2 time series to detect farming practices.
• HyBRIS index is introduced, temporally weighting BSI and VH/VV into a daily index.
• Time-series minima and maxima are used to predict sowing, harvest, and tillage.
• Validation is performed across several years, crop types, and European locations.
• Phenology detection is improved compared to HRL-Cropland.
ABSTRACT: Arable farming practices dictate both crop cycles and soil dynamics, and are central to agriculture's environmental impact and its mitigation. Sowing and harvesting mark the beginning and end of the growing season, while tillage modifies soil structure during the dormant period. Although well-established methods exist for delineating the growing season using phenology and optical data, the detection of farming practices, particularly tillage, remains underexplored. This study investigates the strengths of radar and optical data to retrieve sowing, harvest, and tillage dates at the field level, and proposes a novel Hybrid Bare Soil Radar Index (HyBRIS). Based on Sentinel-1 and Sentinel-2, HyBRIS merges optical and radar data into a single index using a temporally weighted mean. Local minima and maxima of the time series are used to detect farming practices across European sites. Validation is carried out against a reference dataset comprising 238 fields in 11 EU countries, including 462 sowing, 374 harvest, and 388 tillage events covering more than 40 crop types over 8 years. Compared to the Copernicus High Resolution Layer Croplands product (HRL-Cropland), the proposed method based on HyBRIS time series improved sowing and harvest dates detection (MAE 26 and 23 days, respectively). Additionally, this method enabled tillage dates estimation during dormant periods (MAE = 28 days), but tended to overestimate the number of tillage events (producer's accuracy = 97%, user's accuracy = 70%). Incorporating soil moisture data is advised for reducing false positives. The results highlight the potential of optical, radar, and hybrid indices for monitoring agricultural management and supporting environmental stewardship…”
#Sowing #Harvest #tillage #tillagedetection #cropland #CroplandManagement #remotesensing #earthobservation #sentinel #Copernicus #cropland #satellite #optical #radar #sensor #landuse #landcover #landsurface #phenology #agricultural #monitoring #GIS #spatial #mapping #spatialanalysis #spatiotemporal #arable #farming #agriculture #soil #substrate #environment #sustainability #environmentalstewardship #growingseason #Europe #region #model #modeling -
Geospatial Data As Bioethical Evidence
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https://doi.org/10.4401/jgsg-111 <-- shared paper
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https://theconversation.com/gaza-we-analysed-a-year-of-satellite-images-to-map-the-scale-of-agricultural-destruction-248796 <-- shared technical article
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https://www.scientificamerican.com/article/inside-the-satellite-tech-revealing-gazas-destruction/ <-- shared 2023 technical article
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“Satellite imagery now documents systematic patterns of infrastructure destruction at spatial resolutions and temporal cadences that were unavailable during the atrocities of the twentieth century. Whether and how such data may enter bioethical deliberation, however, remains under-theorized. Quantitative remote sensing produces damage percentages, not normative claims, and bridging the two without committing an is-ought fallacy requires an explicit epistemological procedure. The contribution developed here is normative and epistemological rather than empirical. A six-component admissibility framework integrates, for the first time, geospatial evidence, population-level bioethical principlism, and the coherentist verification epistemology of political fact-checking into a single reproducible procedure for the bioethical use of satellite imagery. The first component specifies evidence admissibility criteria tailored to bioethical rather than strictly legal use. The second requires coherentist triangulation across methodologically independent remote sensing studies. The third operates as a bioethical relevance filter mapping infrastructure categories onto population-level social determinants of health. The fourth operationalizes principlism by translating health justice, accountability, solidarity, and sustainability into measurable geospatial observables. The fifth establishes ethical representation safeguards against voyeuristic or dehumanizing uses of destruction imagery. The sixth demands explicit epistemic humility regarding uncertainty, data missingness, and attribution limits. The Gaza conflict provides the case in point. Two independently produced geospatial studies, one based on SAR coherent change detection and one on very-high-resolution optical analysis, converge on extensive damage to civilian healthcare, water, sanitation, and educational infrastructure, and thereby satisfy the coherentist triangulation requirement of the framework. The resulting inference licenses bioethical claims of systematic survival infrastructure degradation while preserving transparent boundaries between what satellite evidence can and cannot establish about genocidal intent…”
#geoethics #GIS #spatial #mapping #remotesensing #earthobservation #imagery #satellite #opendata #conflict #war #military #destruction #infrastructure #spatiotemporal #bioethical #evidence #damagepercentages #spatialanalysis #change #quantitative #metrics #normative #epistemological #admissibility #framework #factchecking #controlled #publicsafety #publichealth #healthjustice #geospatialobservables #observation #uncertainty #controls #boundaries #changedetection #coherentisttriangulation #example #gaza -
Geospatial Data As Bioethical Evidence
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https://doi.org/10.4401/jgsg-111 <-- shared paper
--
https://theconversation.com/gaza-we-analysed-a-year-of-satellite-images-to-map-the-scale-of-agricultural-destruction-248796 <-- shared technical article
--
https://www.scientificamerican.com/article/inside-the-satellite-tech-revealing-gazas-destruction/ <-- shared 2023 technical article
--
“Satellite imagery now documents systematic patterns of infrastructure destruction at spatial resolutions and temporal cadences that were unavailable during the atrocities of the twentieth century. Whether and how such data may enter bioethical deliberation, however, remains under-theorized. Quantitative remote sensing produces damage percentages, not normative claims, and bridging the two without committing an is-ought fallacy requires an explicit epistemological procedure. The contribution developed here is normative and epistemological rather than empirical. A six-component admissibility framework integrates, for the first time, geospatial evidence, population-level bioethical principlism, and the coherentist verification epistemology of political fact-checking into a single reproducible procedure for the bioethical use of satellite imagery. The first component specifies evidence admissibility criteria tailored to bioethical rather than strictly legal use. The second requires coherentist triangulation across methodologically independent remote sensing studies. The third operates as a bioethical relevance filter mapping infrastructure categories onto population-level social determinants of health. The fourth operationalizes principlism by translating health justice, accountability, solidarity, and sustainability into measurable geospatial observables. The fifth establishes ethical representation safeguards against voyeuristic or dehumanizing uses of destruction imagery. The sixth demands explicit epistemic humility regarding uncertainty, data missingness, and attribution limits. The Gaza conflict provides the case in point. Two independently produced geospatial studies, one based on SAR coherent change detection and one on very-high-resolution optical analysis, converge on extensive damage to civilian healthcare, water, sanitation, and educational infrastructure, and thereby satisfy the coherentist triangulation requirement of the framework. The resulting inference licenses bioethical claims of systematic survival infrastructure degradation while preserving transparent boundaries between what satellite evidence can and cannot establish about genocidal intent…”
#geoethics #GIS #spatial #mapping #remotesensing #earthobservation #imagery #satellite #opendata #conflict #war #military #destruction #infrastructure #spatiotemporal #bioethical #evidence #damagepercentages #spatialanalysis #change #quantitative #metrics #normative #epistemological #admissibility #framework #factchecking #controlled #publicsafety #publichealth #healthjustice #geospatialobservables #observation #uncertainty #controls #boundaries #changedetection #coherentisttriangulation #example #gaza -
Advancing Detailed Flood Hazard Identification in Alberta, Canada - Insights from Two Recent Flood Studies
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https://doi.org/10.3390/w18131592 <-- shared paper
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“The increasing frequency of floods and the severity of their consequences for public safety, infrastructure, and the economy demand improved methods for flood hazard identification. Flood studies that include flood hazard mapping are critical tools for informing emergency response and flood recovery, as well as for land use and mitigation planning. The methodology for such flood studies has evolved, and access to more powerful computational resources and high-resolution base data has contributed to the increased use of two-dimensional hydraulic modelling, where one-dimensional modelling previously was the default. However, local-scale flood studies face real-world constraints, including sparse data, challenging hydrologic conditions, and budget limitations, which can hinder the application of advanced techniques. This study addresses these challenges through innovative, practice-driven solutions in two case studies in Alberta, Canada: a small, partly channelised prairie stream network (Wolf Creek, Lacombe) and a laterally dynamic river on a distributary delta (Swan River, Kinuso). Three core components of flood hazard studies are described: field survey data collection, regional hydrology assessment, and hydraulic modelling. Key findings include demonstrating that LiDAR-derived terrain models alone cannot capture channel conveyance, the importance of low-flow calibration in the absence of high-water marks, the selection of a modelling methodology based on bathymetric and topographic features within a study area, and the development of inflow hydrographs for unsteady-state simulation in flat floodplains…”
#FloodMapping #FloodRisk #Hydrology #HydraulicModeling #HECRAS #WaterResources #Alberta #Resilience #RiverSurvey #spatialanlaysis #spatiotemporal #floodhazardmapping #HECRAS #model #modeling #remotesensing #LiDAR #bathymetry #floodfrequencyanalysis #unsteadysimulation #FHIMP #FHIP #WoldCreek #Lacombe #SwanRiver #Kinuso #Alberta #Canada #localscale #provincialfloodstudy # prairie #stream #river #flood #flooding #water #hydrology #risk #hazard #watershed #publicsafety #cost #damage #economics #infrastructure #use #practicedriven #floodhazard #survey #hydraulic #terrainmodels #hydrogeomorphology #topography #elevation #floodplain
@Alberta Environment and Protected Areas | @Government of Alberta | @Barr Engineering -
Advancing Detailed Flood Hazard Identification in Alberta, Canada - Insights from Two Recent Flood Studies
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https://doi.org/10.3390/w18131592 <-- shared paper
--
“The increasing frequency of floods and the severity of their consequences for public safety, infrastructure, and the economy demand improved methods for flood hazard identification. Flood studies that include flood hazard mapping are critical tools for informing emergency response and flood recovery, as well as for land use and mitigation planning. The methodology for such flood studies has evolved, and access to more powerful computational resources and high-resolution base data has contributed to the increased use of two-dimensional hydraulic modelling, where one-dimensional modelling previously was the default. However, local-scale flood studies face real-world constraints, including sparse data, challenging hydrologic conditions, and budget limitations, which can hinder the application of advanced techniques. This study addresses these challenges through innovative, practice-driven solutions in two case studies in Alberta, Canada: a small, partly channelised prairie stream network (Wolf Creek, Lacombe) and a laterally dynamic river on a distributary delta (Swan River, Kinuso). Three core components of flood hazard studies are described: field survey data collection, regional hydrology assessment, and hydraulic modelling. Key findings include demonstrating that LiDAR-derived terrain models alone cannot capture channel conveyance, the importance of low-flow calibration in the absence of high-water marks, the selection of a modelling methodology based on bathymetric and topographic features within a study area, and the development of inflow hydrographs for unsteady-state simulation in flat floodplains…”
#FloodMapping #FloodRisk #Hydrology #HydraulicModeling #HECRAS #WaterResources #Alberta #Resilience #RiverSurvey #spatialanlaysis #spatiotemporal #floodhazardmapping #HECRAS #model #modeling #remotesensing #LiDAR #bathymetry #floodfrequencyanalysis #unsteadysimulation #FHIMP #FHIP #WoldCreek #Lacombe #SwanRiver #Kinuso #Alberta #Canada #localscale #provincialfloodstudy # prairie #stream #river #flood #flooding #water #hydrology #risk #hazard #watershed #publicsafety #cost #damage #economics #infrastructure #use #practicedriven #floodhazard #survey #hydraulic #terrainmodels #hydrogeomorphology #topography #elevation #floodplain
@Alberta Environment and Protected Areas | @Government of Alberta | @Barr Engineering -
Hello Mastodon, an #introduction.
I'm a geospatial scientist with a PhD in Earth System and Geoinformation Science. I work in remote sensing and #GeoAI, mostly on drought, vegetation, and land — in Africa and the US Great Plains.
I'll mostly post maps, model results, and #GoogleEarthEngine and Python tutorials (#geopandas, #rasterio). I'm also building a national GIS data portal for #Cameroon.
#RemoteSensing #GIS #EarthObservation #Python -
Hello Mastodon, an #introduction.
I'm a geospatial scientist with a PhD in Earth System and Geoinformation Science. I work in remote sensing and #GeoAI, mostly on drought, vegetation, and land — in Africa and the US Great Plains.
I'll mostly post maps, model results, and #GoogleEarthEngine and Python tutorials (#geopandas, #rasterio). I'm also building a national GIS data portal for #Cameroon.
#RemoteSensing #GIS #EarthObservation #Python -
The Romans Have A Reputation For Building Straight Roads…
[mapping with remote sensing, etc --> open data]
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https://www.livescience.com/archaeology/romans/how-did-the-romans-build-such-straight-roads <-- shared technical article
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https://doi.org/10.1038/s41597-025-06140-z <-- shared paper, “Itiner-e: A high-resolution dataset of roads of the Roman Empire”
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https://itiner-e.org/ <-- shared webmap “Itiner-e – The Digital Atlas of Ancient Roads”
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https://youtu.be/OTSe7MsJXbo?si=nWl8PZHNmyL_yXEJ <-- shated Itiner-e overview/animation video
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https://youtu.be/ge9XV2eKLvQ?si=OwPWoocT4nVG9gaV <-- shared video, “Roman Surveyors - The Engineers Who Shaped Rome"
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[at high school my favourite subject was Ancient History, witha focus on the Roman Empire, with the formidable Mr. Marriot! @Edgewater College, Pakuranga]
“Itiner-e aims to host the most detailed open digital dataset of roads in the entire Roman Empire. The data creation is a collaborative ongoing project edited by a scholarly community. Itiner-e allows you to view, query and download roads. Each road segment has a URI that allows it to be cited and linked by external resources. It also includes a route-finding tool to explore travel itineries and times in the ancient world (beta version)…”
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“The Roman Empire’s road system was critical for structuring the movement of people, goods and ideas, and sustaining imperial control. Yet, it remains incompletely mapped and poorly integrated across sources despite centuries of research. [They] present Itiner-e, the most detailed and comprehensive open digital dataset of roads in the entire Roman Empire. It was created by identifying roads from archaeological and historical sources, locating them using modern and historical topographic maps and remote sensing, and digitising them with road segment-level metadata and certainty categories. The dataset nearly doubles the known length of Roman roads through increased coverage and spatial precision, and reveals that the location of only 2.737% are known with certainty. This resource is transformative for understanding how mobility shaped connectivity, administration, and even disease transmission in the ancient world, and for studies of the millennia-long development of terrestrial mobility in the region…”
#ancienthistory #rome #roman #road #agrimensores #gromatici #survey #surveying #instruments #transportation #empire #messenger #administration #military #legions #soldiers #construction #mapping #remotesensing #Itinere #opendata #spatial #RomanEmpire #archaeology #history #topography #connectivity #terrestrial #mobility #webmap #GIS #mapping #research #network #segment #URI #routing #trade #economics
@Itiner-e -
The Romans Have A Reputation For Building Straight Roads…
[mapping with remote sensing, etc --> open data]
--
https://www.livescience.com/archaeology/romans/how-did-the-romans-build-such-straight-roads <-- shared technical article
--
https://doi.org/10.1038/s41597-025-06140-z <-- shared paper, “Itiner-e: A high-resolution dataset of roads of the Roman Empire”
--
https://itiner-e.org/ <-- shared webmap “Itiner-e – The Digital Atlas of Ancient Roads”
--
https://youtu.be/OTSe7MsJXbo?si=nWl8PZHNmyL_yXEJ <-- shated Itiner-e overview/animation video
--
https://youtu.be/ge9XV2eKLvQ?si=OwPWoocT4nVG9gaV <-- shared video, “Roman Surveyors - The Engineers Who Shaped Rome"
--
[at high school my favourite subject was Ancient History, witha focus on the Roman Empire, with the formidable Mr. Marriot! @Edgewater College, Pakuranga]
“Itiner-e aims to host the most detailed open digital dataset of roads in the entire Roman Empire. The data creation is a collaborative ongoing project edited by a scholarly community. Itiner-e allows you to view, query and download roads. Each road segment has a URI that allows it to be cited and linked by external resources. It also includes a route-finding tool to explore travel itineries and times in the ancient world (beta version)…”
--
“The Roman Empire’s road system was critical for structuring the movement of people, goods and ideas, and sustaining imperial control. Yet, it remains incompletely mapped and poorly integrated across sources despite centuries of research. [They] present Itiner-e, the most detailed and comprehensive open digital dataset of roads in the entire Roman Empire. It was created by identifying roads from archaeological and historical sources, locating them using modern and historical topographic maps and remote sensing, and digitising them with road segment-level metadata and certainty categories. The dataset nearly doubles the known length of Roman roads through increased coverage and spatial precision, and reveals that the location of only 2.737% are known with certainty. This resource is transformative for understanding how mobility shaped connectivity, administration, and even disease transmission in the ancient world, and for studies of the millennia-long development of terrestrial mobility in the region…”
#ancienthistory #rome #roman #road #agrimensores #gromatici #survey #surveying #instruments #transportation #empire #messenger #administration #military #legions #soldiers #construction #mapping #remotesensing #Itinere #opendata #spatial #RomanEmpire #archaeology #history #topography #connectivity #terrestrial #mobility #webmap #GIS #mapping #research #network #segment #URI #routing #trade #economics
@Itiner-e -
related, and a quote from the [slowly] coming story:
"Whatever we do using remote sensing tools needs local and situational sense-making, validation"
Not ground truth? No, because what is truth? and when is truth? What is its context and scale? What does a point observation mean in a 30 x 30 m pixel? For whom is this truth true?
I know it's been a long-used term, I wish it were abandoned by geospatial / remote sensing. I like my version better ;)
-
related, and a quote from the [slowly] coming story:
"Whatever we do using remote sensing tools needs local and situational sense-making, validation"
Not ground truth? No, because what is truth? and when is truth? What is its context and scale? What does a point observation mean in a 30 x 30 m pixel? For whom is this truth true?
I know it's been a long-used term, I wish it were abandoned by geospatial / remote sensing. I like my version better ;)
-
Remote Sensing, Real Impact - Technology-Driven Conservation At The Jane Goodall Institute
(How the Jane Goodall Institute [JGI] is using satellite imagery and spatial technology to help people and animals thrive.)
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https://www.geoweeknews.com/news/conservation-at-the-jane-goodall-institute <-- shared technical article
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https://www.iceye.com/blog/government/solutions/how-the-jane-goodall-institute-uses-iceye-sar-to-protect-ecosystems <-- shared technical article
--
[this post should not be seen as endorsement of a particular provider and/or approach]
“Dr. Jane Goodall’s groundbreaking research at Gombe National Park in Tanzania began in 1960, and transformed our understanding of chimpanzees and redefined the relationship between humans and animals. Dr. Goodall dedicated her life to conservation and community empowerment. Her recent passing marks the end of an extraordinary career in ethology and conservation science. Yet her legacy lives on powerfully through the Jane Goodall Institute [JGI] and the countless individuals and communities she inspired worldwide. Her pioneering work revealed that chimpanzees make and use tools, have complex social structures, and possess individual personalities; discoveries that fundamentally challenged our understanding of what it means to be human, for the better…
The institute's current work embodies Dr. Goodall's profound philosophy: that humanity can only reach its full potential "when our clever brains and our compassionate hearts are connected."
This principle guides every aspect of JGI's conservation science strategy, from analyzing satellite data to providing local communities with the tools they need to strengthen their environment. Dr. Goodall's vision that conservation must be rooted in compassion, scientific rigor, and respect for local communities continues to shape the institute's innovative approach to using technology for conservation action.
As time has gone on, geospatial technologies have become increasingly indispensable to this mission, enabling JGI to monitor forest health in real-time, map critical chimpanzee habitats and migration corridors, and measure the tangible impact of community-led conservation initiatives. But perhaps most importantly, these technologies help the communities understand that the lives of people, animals and their shared environment are all interconnected…”
#ConservationTechnology #illegal #Deforestation #hunting #mining #GombeNationalPark #remotesensing #radar #earthobservation #chimpanzee #conservation #communityempowerment #JaneGoodallInstitute #JGI #satellite #spatialanalysis #spatiotemporal #GIS #spatial #mapping #habitat #destruction #migration #corridors #monitoring #conservationscience #strategy #resource #cloudcover #alerts #foresthealth #protection #SAR #vegetation #ecosystems #rainforest #greatape #disease #foodsecurity #DRC #Tanzania #CongoBasin #nationalpark #ranger #parkranger #security #safety #alerts #wildlifetrafficking
@JaneGoodallInstitute @iceeye -
Remote Sensing, Real Impact - Technology-Driven Conservation At The Jane Goodall Institute
(How the Jane Goodall Institute [JGI] is using satellite imagery and spatial technology to help people and animals thrive.)
--
https://www.geoweeknews.com/news/conservation-at-the-jane-goodall-institute <-- shared technical article
--
https://www.iceye.com/blog/government/solutions/how-the-jane-goodall-institute-uses-iceye-sar-to-protect-ecosystems <-- shared technical article
--
[this post should not be seen as endorsement of a particular provider and/or approach]
“Dr. Jane Goodall’s groundbreaking research at Gombe National Park in Tanzania began in 1960, and transformed our understanding of chimpanzees and redefined the relationship between humans and animals. Dr. Goodall dedicated her life to conservation and community empowerment. Her recent passing marks the end of an extraordinary career in ethology and conservation science. Yet her legacy lives on powerfully through the Jane Goodall Institute [JGI] and the countless individuals and communities she inspired worldwide. Her pioneering work revealed that chimpanzees make and use tools, have complex social structures, and possess individual personalities; discoveries that fundamentally challenged our understanding of what it means to be human, for the better…
The institute's current work embodies Dr. Goodall's profound philosophy: that humanity can only reach its full potential "when our clever brains and our compassionate hearts are connected."
This principle guides every aspect of JGI's conservation science strategy, from analyzing satellite data to providing local communities with the tools they need to strengthen their environment. Dr. Goodall's vision that conservation must be rooted in compassion, scientific rigor, and respect for local communities continues to shape the institute's innovative approach to using technology for conservation action.
As time has gone on, geospatial technologies have become increasingly indispensable to this mission, enabling JGI to monitor forest health in real-time, map critical chimpanzee habitats and migration corridors, and measure the tangible impact of community-led conservation initiatives. But perhaps most importantly, these technologies help the communities understand that the lives of people, animals and their shared environment are all interconnected…”
#ConservationTechnology #illegal #Deforestation #hunting #mining #GombeNationalPark #remotesensing #radar #earthobservation #chimpanzee #conservation #communityempowerment #JaneGoodallInstitute #JGI #satellite #spatialanalysis #spatiotemporal #GIS #spatial #mapping #habitat #destruction #migration #corridors #monitoring #conservationscience #strategy #resource #cloudcover #alerts #foresthealth #protection #SAR #vegetation #ecosystems #rainforest #greatape #disease #foodsecurity #DRC #Tanzania #CongoBasin #nationalpark #ranger #parkranger #security #safety #alerts #wildlifetrafficking
@JaneGoodallInstitute @iceeye -
"Streisand Effect":
Russian Maps Blurred 119 Of Russia’s Own Military Sites In The Nordics And Baltics—And Gave Away Their Locations
(The objects blurred on Yandex run from air bases and shipyards to nuclear-weapons facilities, reporters from four countries found.)
--
https://euromaidanpress.com/2026/06/28/russian-maps-blurred-119-of-russias-own-military-sites-in-the-nordics-and-baltics-and-gave-away-their-locations/ <-- sharede technical media article
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https://www.nrk.no/order-138_-russia_s-growing-defense-industry-hides-behind-yandex_s-blurs-1.17935388 <-- shared technical media article
--
#GIS #spatial #mapping #military #site #base #shipyard #blurred #imagery #Russia #Ukraine #geoint #aerialimagery #remotesensing #satellite #Kaliningrad #nuclear #deepstrike #drone #opendata #NATO #planning #attack #BalticSea #airbase #barracks #sensitivesites #blurring #pixelation #arms #munitions #targets #Streisandeffect #censorship #fuel #supplies #intelligenceservices #largescale #conflict #informationcontrol #Order138
@Yandex -
"Streisand Effect":
Russian Maps Blurred 119 Of Russia’s Own Military Sites In The Nordics And Baltics—And Gave Away Their Locations
(The objects blurred on Yandex run from air bases and shipyards to nuclear-weapons facilities, reporters from four countries found.)
--
https://euromaidanpress.com/2026/06/28/russian-maps-blurred-119-of-russias-own-military-sites-in-the-nordics-and-baltics-and-gave-away-their-locations/ <-- sharede technical media article
--
https://www.nrk.no/order-138_-russia_s-growing-defense-industry-hides-behind-yandex_s-blurs-1.17935388 <-- shared technical media article
--
#GIS #spatial #mapping #military #site #base #shipyard #blurred #imagery #Russia #Ukraine #geoint #aerialimagery #remotesensing #satellite #Kaliningrad #nuclear #deepstrike #drone #opendata #NATO #planning #attack #BalticSea #airbase #barracks #sensitivesites #blurring #pixelation #arms #munitions #targets #Streisandeffect #censorship #fuel #supplies #intelligenceservices #largescale #conflict #informationcontrol #Order138
@Yandex -
China establishes VLEO industry alliance as satellites demonstrate sustained low-orbit operations
-
@michael_w_busch primarily studies near-Earth asteroids, using radio and radar techniques, with particular interests in the shapes, spin states, internal structures, and histories of individual objects - especially spacecraft mission targets and potential Earth impactors.
#PlanetaryAstronomy #RemoteSensing #Space #Science #SETI #NotJustAliens
-
@michael_w_busch primarily studies near-Earth asteroids, using radio and radar techniques, with particular interests in the shapes, spin states, internal structures, and histories of individual objects - especially spacecraft mission targets and potential Earth impactors.
#PlanetaryAstronomy #RemoteSensing #Space #Science #SETI #NotJustAliens
-
New publication: A data-driven framework for evaluating categorical versus gradient representations of land-use intensity. #farming #landuse #landuseintensification #remotesensing
https://doi.org/10.1016/j.ecoinf.2026.103848 -
Compound Hydrogeomorphic Cascades And Rapid Upstream To Downstream Hazard Coupling In The Eastern Himalaya
--
https://doi.org/10.1038/s41598-026-52915-8 <-- shared paper
--
https://doi.org/10.5194/esurf-13-1281-2025 <-- shared paper
--
https://doi.org/10.1007/s11069-025-07766-3 <-- shared paper
--
[I recognise that the photo is instead for the floods, etc in Lubra, Nepal - but felt it better showed the hydrogeomorphical setting (sic) for the 'casual' post viewer...]
H/T @Kuldeep Dutta
“In hilly regions transitioning rapidly to low gradient alluvial plains, localized hydrometeorological triggers can instantly scale into devastating basin wide disasters. This study dissects the September 2020 cascading hazard in parts of the Arunachal Pradesh-Assam corridor to quantify the rapid coupling between upstream hillslopes and downstream floodplains…”
--
“Extreme precipitation in the Eastern Himalaya is increasingly associated with coupled hillslope-floodplain hazards. This study examines the 17th-18th September 2020 rainfall event in Arunachal Pradesh initiating landslides and its downstream impacts in Assam, India, using multi-sensor satellite data and long-term rainfall records. Sentinel-2 imagery was used to map landslides and debris flows, Sentinel-1 SAR data to delineate flood extent, and IMD gridded rainfall (1996–2020) to analyse rainfall spell characteristics. The event triggered widespread slope failures, localized landslide damming, and a subsequent breach, generating sediment-laden flows that inundated ~ 100 km2 of the Dhemaji floodplain. A backscatter-derived Relative Flood Volume Index (RFVI) indicates spatial variability in inundation intensity, although it does not represent absolute flood volume. Rainfall analysis suggests that antecedent wetness from preceding spells preconditioned slopes, while peak daily rainfall (> 170 mm/day/) initiated landsliding. Power-law scaling shows negligible dependence of intensity on duration (R² ≈ 0.0004), whereas cumulative rainfall exhibits a stronger relationship with duration (R² ≈ 0.54). These results indicate distinct roles of rainfall intensity and accumulation in controlling landslide initiation and downstream flooding, respectively, highlighting the importance of compound rainfall forcing in rapid hydrogeomorphic cascades...”
#EarthScience #RemoteSensing #Himalayas #NaturalHazards #ClimateChange #ScientificReports #GeospatialAnalysis #DisasterMitigation #Landslide #Flooding #alluvial #fluvial #water #hydrology #hydrography #flood #flooding #spatialanalysis #spatiotemporal #mountain #plain #hydrometeorological #hydrogeomorphology #ArunachalPradesh #Assam #India #hillslope #floodplain #rainfall #precipitation #extremeweather #engineeringgeology #massmovement #landslide #debrisflow #risk #hazard #monitoring #GIS #spatial #mapping #remotesensing #satellite #Sentinel #sedimentation #humanimpacts #infrastructure #damage #cost #economics #public #safety #model #modeling #downstream -
Compound Hydrogeomorphic Cascades And Rapid Upstream To Downstream Hazard Coupling In The Eastern Himalaya
--
https://doi.org/10.1038/s41598-026-52915-8 <-- shared paper
--
https://doi.org/10.5194/esurf-13-1281-2025 <-- shared paper
--
https://doi.org/10.1007/s11069-025-07766-3 <-- shared paper
--
[I recognise that the photo is instead for the floods, etc in Lubra, Nepal - but felt it better showed the hydrogeomorphical setting (sic) for the 'casual' post viewer...]
H/T @Kuldeep Dutta
“In hilly regions transitioning rapidly to low gradient alluvial plains, localized hydrometeorological triggers can instantly scale into devastating basin wide disasters. This study dissects the September 2020 cascading hazard in parts of the Arunachal Pradesh-Assam corridor to quantify the rapid coupling between upstream hillslopes and downstream floodplains…”
--
“Extreme precipitation in the Eastern Himalaya is increasingly associated with coupled hillslope-floodplain hazards. This study examines the 17th-18th September 2020 rainfall event in Arunachal Pradesh initiating landslides and its downstream impacts in Assam, India, using multi-sensor satellite data and long-term rainfall records. Sentinel-2 imagery was used to map landslides and debris flows, Sentinel-1 SAR data to delineate flood extent, and IMD gridded rainfall (1996–2020) to analyse rainfall spell characteristics. The event triggered widespread slope failures, localized landslide damming, and a subsequent breach, generating sediment-laden flows that inundated ~ 100 km2 of the Dhemaji floodplain. A backscatter-derived Relative Flood Volume Index (RFVI) indicates spatial variability in inundation intensity, although it does not represent absolute flood volume. Rainfall analysis suggests that antecedent wetness from preceding spells preconditioned slopes, while peak daily rainfall (> 170 mm/day/) initiated landsliding. Power-law scaling shows negligible dependence of intensity on duration (R² ≈ 0.0004), whereas cumulative rainfall exhibits a stronger relationship with duration (R² ≈ 0.54). These results indicate distinct roles of rainfall intensity and accumulation in controlling landslide initiation and downstream flooding, respectively, highlighting the importance of compound rainfall forcing in rapid hydrogeomorphic cascades...”
#EarthScience #RemoteSensing #Himalayas #NaturalHazards #ClimateChange #ScientificReports #GeospatialAnalysis #DisasterMitigation #Landslide #Flooding #alluvial #fluvial #water #hydrology #hydrography #flood #flooding #spatialanalysis #spatiotemporal #mountain #plain #hydrometeorological #hydrogeomorphology #ArunachalPradesh #Assam #India #hillslope #floodplain #rainfall #precipitation #extremeweather #engineeringgeology #massmovement #landslide #debrisflow #risk #hazard #monitoring #GIS #spatial #mapping #remotesensing #satellite #Sentinel #sedimentation #humanimpacts #infrastructure #damage #cost #economics #public #safety #model #modeling #downstream -
Vantor selects BAE Systems to build next-generation imaging satellites
-
Hello EOMasters, The journey is going on. Do you want to join?
Read my new blog post about TerraFlux. A new web based #EarthObservation application.#remotesensing #geospatial #gis #webapp
https://www.eomasters.org/post/terraflux-prototyping-a-new-webbased-earth-observation-application
-
Hello EOMasters, The journey is going on. Do you want to join?
Read my new blog post about TerraFlux. A new web based #EarthObservation application.#remotesensing #geospatial #gis #webapp
https://www.eomasters.org/post/terraflux-prototyping-a-new-webbased-earth-observation-application
-
New version 1.5.3 of EOMasters Pro Toolbox is out now.
It includes new spectral indices, explaining the 5m-upscaling model better in the documentation and includes some fixes.
-
New version 1.5.3 of EOMasters Pro Toolbox is out now.
It includes new spectral indices, explaining the 5m-upscaling model better in the documentation and includes some fixes.
-
NASA’s Nancy Grace Roman Space Telescope's ‘Spy Mirror’ Could Transform How We Map The Universe
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https://www.discovermagazine.com/nasa-s-nancy-grace-roman-space-telescope-s-spy-mirror-could-transform-how-we-map-the-universe-49239 <-- shared technical article
--
https://www.mos.org/article/ready-roman-nancy-grace-roman-space-telescope <-- shared technical article
--
https://www.space.com/space-exploration/the-nancy-grace-roman-space-telescope-nasas-next-great-observatory-is-finally-complete <-- shared technical article
--
https://youtu.be/TcjuucVEB5g?si=I93BjarghNcYKKqj <-- shared NASA Goddard technical overview video
--
https://youtu.be/lBAuc057pVA?si=IghhCWC915FO3y3C <-- shared media video
--
“… Roman is set to launch on August 30, 2026, and will help us gain a wider view of the universe and collect data faster than its predecessors, such as the Hubble Space Telescope. The telescope will do so thanks to the incredible equipment and instruments built into it.
These instruments include the primary mirror, which was gifted to NASA by a U.S. intelligence agency, the Wide Field Instrument, and an advanced coronograph. Altogether, these instruments could help us map out more of the universe than we ever imagined.
“It is an incredible feat of precision engineering. It's quite possibly the most complex scientific instrument that NASA has ever built,” Dominic Benford, …program scientist for the Nancy Grace Roman Space Telescope…”
--
“Named after NASA’s first chief astronomer, the ‘mother of the Hubble Space Telescope,’ the Nancy Grace Roman Space Telescope will have a field of view at least 100 times larger than Hubble's, potentially measuring light from a billion galaxies in its lifetime. This observatory will also be able to block starlight to directly see exoplanets and planet-forming disks, complete a statistical census of planetary systems in our galaxy, and settle essential questions in the areas of dark energy, exoplanets, and infrared astrophysics…”
--
The Roman Space Telescope is engineered to investigate the biggest mysteries in astrophysics:
• Dark Energy & Dark Matter: By surveying billions of galaxies and mapping their distribution, Roman will explore why the universe's expansion is accelerating and trace cosmic history.
• Exoplanets: It will utilize gravitational microlensing to complete a statistical census of planetary systems in our galaxy, aiming to find thousands of exoplanets, including elusive rogue planets.
• Infrared Astrophysics: The telescope's deep, crisp infrared vision will help astronomers measure light from up to a billion galaxies over its lifetime.
#coronograph #astronomy #mapping #exoplanets #universe #telescope #spacetelescope #darkenergy #darkmatter #NancyGrace #NASA #Roman #astrophysics #cosmic #infrared #launch #WideFieldInstrument #instumentation #exploration extraterrestrial observatory #space #remotesensing #galacticbulge #spatialanalysis #spatiotemporal #supernova
@nasa @nasa Goddard @Discover Magazine -
NASA’s Nancy Grace Roman Space Telescope's ‘Spy Mirror’ Could Transform How We Map The Universe
--
https://www.discovermagazine.com/nasa-s-nancy-grace-roman-space-telescope-s-spy-mirror-could-transform-how-we-map-the-universe-49239 <-- shared technical article
--
https://www.mos.org/article/ready-roman-nancy-grace-roman-space-telescope <-- shared technical article
--
https://www.space.com/space-exploration/the-nancy-grace-roman-space-telescope-nasas-next-great-observatory-is-finally-complete <-- shared technical article
--
https://youtu.be/TcjuucVEB5g?si=I93BjarghNcYKKqj <-- shared NASA Goddard technical overview video
--
https://youtu.be/lBAuc057pVA?si=IghhCWC915FO3y3C <-- shared media video
--
“… Roman is set to launch on August 30, 2026, and will help us gain a wider view of the universe and collect data faster than its predecessors, such as the Hubble Space Telescope. The telescope will do so thanks to the incredible equipment and instruments built into it.
These instruments include the primary mirror, which was gifted to NASA by a U.S. intelligence agency, the Wide Field Instrument, and an advanced coronograph. Altogether, these instruments could help us map out more of the universe than we ever imagined.
“It is an incredible feat of precision engineering. It's quite possibly the most complex scientific instrument that NASA has ever built,” Dominic Benford, …program scientist for the Nancy Grace Roman Space Telescope…”
--
“Named after NASA’s first chief astronomer, the ‘mother of the Hubble Space Telescope,’ the Nancy Grace Roman Space Telescope will have a field of view at least 100 times larger than Hubble's, potentially measuring light from a billion galaxies in its lifetime. This observatory will also be able to block starlight to directly see exoplanets and planet-forming disks, complete a statistical census of planetary systems in our galaxy, and settle essential questions in the areas of dark energy, exoplanets, and infrared astrophysics…”
--
The Roman Space Telescope is engineered to investigate the biggest mysteries in astrophysics:
• Dark Energy & Dark Matter: By surveying billions of galaxies and mapping their distribution, Roman will explore why the universe's expansion is accelerating and trace cosmic history.
• Exoplanets: It will utilize gravitational microlensing to complete a statistical census of planetary systems in our galaxy, aiming to find thousands of exoplanets, including elusive rogue planets.
• Infrared Astrophysics: The telescope's deep, crisp infrared vision will help astronomers measure light from up to a billion galaxies over its lifetime.
#coronograph #astronomy #mapping #exoplanets #universe #telescope #spacetelescope #darkenergy #darkmatter #NancyGrace #NASA #Roman #astrophysics #cosmic #infrared #launch #WideFieldInstrument #instumentation #exploration extraterrestrial observatory #space #remotesensing #galacticbulge #spatialanalysis #spatiotemporal #supernova
@nasa @nasa Goddard @Discover Magazine -
🚨 FEMA’s Hazus v7.2 Is Here — A Major Upgrade For Disaster Risk Modeling
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https://www.fema.gov/flood-maps/products-tools/hazus <-- shared link to FEMA HAZUS download, documentation, use case, etc
--
[I used to work some with Hazus back in the back, but my career changed path; I still appreciate its strength and unity of purpose (sic) #alldataisspatial]
H/T @Laban "L.J." Johnson | Founder, LJ Learn & Concordia Initiative | Crisis Support · Leadership Development · Community Resilience | Bridging worlds to help people rise
“FEMA’s Hazus GIS platform has been updated with a new ArcGIS Pro–based version, bringing faster, more powerful tools for estimating losses from floods, hurricanes, earthquakes, and other natural hazards.
Key updates in Hazus 7.2 include:
• Streamlined workflows for flood and hurricane modeling
• New Earthquake ShakeMap integration using USGS data
• Expanded and improved results exports and reporting (including geodatabase outputs)
• Stronger security with known vulnerabilities addressed
• Performance improvements and optimized installation process
• [Significantly enhanced and comprehensive summary reports for flood and earthquake are now available for download.]
• Full integration with ArcGIS Pro (3.4–3.6) for a modern GIS experience
This release represents a significant step forward in how hazard planners, emergency managers, and GIS professionals analyze and prepare for disaster impacts…”
--
“FEMA’s Hazus program provides software, data, methods, and guidance for estimating risk from natural hazards. Hazus can estimate building damages, economic losses, displaced households, casualties, debris generation and more resulting from a natural hazard event and can be used in all phases of emergency management…”
#HAZUS #fedservice #fedscience #oublicgood #publicsafety #emergencyresponse #software #spatialdata #GIS #spatial #mapping #risk #hazard #riskassessment #naturalhazard #humanimpacts #earthquake #wildfire #spatialanalysis #spatiotemporal #flood #flooding #cost #damage #economic #publicsafety #publichealth #emergencymanagement #opensource #opendata #tsunami #tornado #hurricane #ShakeMap #infrastructure #planning #policy #preparedness #impacts #geology #engineeringgeology #remotesensing #earthobservation
@FEMA -
🚨 FEMA’s Hazus v7.2 Is Here — A Major Upgrade For Disaster Risk Modeling
--
https://www.fema.gov/flood-maps/products-tools/hazus <-- shared link to FEMA HAZUS download, documentation, use case, etc
--
[I used to work some with Hazus back in the back, but my career changed path; I still appreciate its strength and unity of purpose (sic) #alldataisspatial]
H/T @Laban "L.J." Johnson | Founder, LJ Learn & Concordia Initiative | Crisis Support · Leadership Development · Community Resilience | Bridging worlds to help people rise
“FEMA’s Hazus GIS platform has been updated with a new ArcGIS Pro–based version, bringing faster, more powerful tools for estimating losses from floods, hurricanes, earthquakes, and other natural hazards.
Key updates in Hazus 7.2 include:
• Streamlined workflows for flood and hurricane modeling
• New Earthquake ShakeMap integration using USGS data
• Expanded and improved results exports and reporting (including geodatabase outputs)
• Stronger security with known vulnerabilities addressed
• Performance improvements and optimized installation process
• [Significantly enhanced and comprehensive summary reports for flood and earthquake are now available for download.]
• Full integration with ArcGIS Pro (3.4–3.6) for a modern GIS experience
This release represents a significant step forward in how hazard planners, emergency managers, and GIS professionals analyze and prepare for disaster impacts…”
--
“FEMA’s Hazus program provides software, data, methods, and guidance for estimating risk from natural hazards. Hazus can estimate building damages, economic losses, displaced households, casualties, debris generation and more resulting from a natural hazard event and can be used in all phases of emergency management…”
#HAZUS #fedservice #fedscience #oublicgood #publicsafety #emergencyresponse #software #spatialdata #GIS #spatial #mapping #risk #hazard #riskassessment #naturalhazard #humanimpacts #earthquake #wildfire #spatialanalysis #spatiotemporal #flood #flooding #cost #damage #economic #publicsafety #publichealth #emergencymanagement #opensource #opendata #tsunami #tornado #hurricane #ShakeMap #infrastructure #planning #policy #preparedness #impacts #geology #engineeringgeology #remotesensing #earthobservation
@FEMA -
Late Miocene Euphrates River Drained Into A Partially Desiccated Eastern Mediterranean
--
https://doi.org/10.1038/s41561-026-01962-x <-- shared paper
--
[the paleogeographic reconstruction is outstanding, including the strength and information conveyed so well in that figure, kudos!]
H/T @lina Jakaitė-Darkšė
“Although the Euphrates River - stretching ~3,000 km across Western Asia - has shaped the region’s geology for millions of years, the timing of its origin and the evolution of its course remain enigmatic. So far, two contrasting hypotheses have been proposed to explain the fluvial system’s Late Neogene path: termination in Anatolia at a palaeo-lake or the Mediterranean, or a southeastward continuation to Arabia. Here [they] use seismic-reflection and topographic data to show that two previously identified sedimentary accumulations - deposited during the terminal phase of the Late Miocene Messinian salinity crisis - resulted from dual riverine systems that drained into a partially desiccated eastern Mediterranean before avulsing toward the Persian Gulf and converging to form the modern Euphrates River. From probabilistic sediment-budget modelling, [they] show that although the latest Messinian drainage basins were an order of magnitude smaller than their present-day extents, the total palaeo-discharge exceeded that of the modern Tigris, Euphrates and Nile rivers combined, indicating intense palaeo-precipitation and high palaeo-relief. These results suggest that plate-margin deformation both controlled the fluvial avulsions that diverted the Euphrates River from the Anatolian–Eurasian Plate to the Arabian Plate, and established the conditions necessary for the development of the alluvial Fertile Crescent…”
#water #hydrology #hydrography #paleogeography #Euphrates #river #Miocene #reconstruction #spatialreconstruction #geology #change #erosion #MiddleEast #spatialanalysis #spatiotemporal #Neogene #Anatolia #paleolake #Mediterranean #Arabia #Messinian #remotesensing #model #modeling #topography #hydrogeomorphology #geomorphology #PersianGulf #sediment #paleodischarge #volume #Tigris #elevation #platetectonics #structuralgeology #platemargin #fluvial #avulsion #FertileCrescent -
Late Miocene Euphrates River Drained Into A Partially Desiccated Eastern Mediterranean
--
https://doi.org/10.1038/s41561-026-01962-x <-- shared paper
--
[the paleogeographic reconstruction is outstanding, including the strength and information conveyed so well in that figure, kudos!]
H/T @lina Jakaitė-Darkšė
“Although the Euphrates River - stretching ~3,000 km across Western Asia - has shaped the region’s geology for millions of years, the timing of its origin and the evolution of its course remain enigmatic. So far, two contrasting hypotheses have been proposed to explain the fluvial system’s Late Neogene path: termination in Anatolia at a palaeo-lake or the Mediterranean, or a southeastward continuation to Arabia. Here [they] use seismic-reflection and topographic data to show that two previously identified sedimentary accumulations - deposited during the terminal phase of the Late Miocene Messinian salinity crisis - resulted from dual riverine systems that drained into a partially desiccated eastern Mediterranean before avulsing toward the Persian Gulf and converging to form the modern Euphrates River. From probabilistic sediment-budget modelling, [they] show that although the latest Messinian drainage basins were an order of magnitude smaller than their present-day extents, the total palaeo-discharge exceeded that of the modern Tigris, Euphrates and Nile rivers combined, indicating intense palaeo-precipitation and high palaeo-relief. These results suggest that plate-margin deformation both controlled the fluvial avulsions that diverted the Euphrates River from the Anatolian–Eurasian Plate to the Arabian Plate, and established the conditions necessary for the development of the alluvial Fertile Crescent…”
#water #hydrology #hydrography #paleogeography #Euphrates #river #Miocene #reconstruction #spatialreconstruction #geology #change #erosion #MiddleEast #spatialanalysis #spatiotemporal #Neogene #Anatolia #paleolake #Mediterranean #Arabia #Messinian #remotesensing #model #modeling #topography #hydrogeomorphology #geomorphology #PersianGulf #sediment #paleodischarge #volume #Tigris #elevation #platetectonics #structuralgeology #platemargin #fluvial #avulsion #FertileCrescent -
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 -
Urban Flood Observations [UFO] - A Hand-Labeled Training And Validation Dataset Of Post-Flood Inundation
--
https://doi.org/10.48550/arXiv.2604.23066 <-- shared paper
--
https://zenodo.org/records/19698577 <-- shared dataset
--
H/T @Rohit Mukherjee
“UFO includes 215 high-resolution PlanetScope image chips and corresponding labels from 14 global flood events, with a focus on urban environments. The labels capture visible surface water in post-flood scenes.
Labeling floods from space is hard, especially in urban areas. Building shadows, narrow channels, wet soil, complex drainage features, and mixed pixels all make it difficult. [They] spent a lot of time refining the labels, and [they] think they can be useful for benchmarking flood-mapping methods and for training flood models (if you have PlanetScope access).
As an initial benchmark, [they have] trained a SegFormer model on the dataset and achieved a mean IoU of 77.3% under leave-one-event-out validation, where each flood event was held out entirely from training…”
--
“Urban flooding affects lives and infrastructure worldwide. Mapping inundation in complex urban environments from satellite imagery remains challenging due to limited spatial resolution, infrequent acquisitions, and cloud cover. [They] present Urban Flood Observations (UFO), a global, hand-labeled dataset of post-flood inundation in diverse urban settings. UFO comprises 215 image chips (1024 by 1024 pixels) from 14 flood events between 2017 and 2021, derived from 3 metre PlanetScope imagery. Each chip is annotated with two classes: 'inundated' (all visible surface water, including floodwater and pre-existing water bodies (permanent or seasonal)) and 'non-inundated'. To demonstrate the dataset's utility, [they have] trained a segmentation model using leave-one-event-out cross-validation, achieving a mean Intersection over Union (IoU) of 77.3. [They] also used UFO to evaluate two widely used surface water products, the Sentinel-1-based NASA IMPACT model and Google's 10 m Dynamic World water class, which yielded IoUs of 44.1 and 48.1, respectively. UFO is publicly available to support the development and validation of urban inundation mapping methods…”
#UrbanFloodObservations #Urban #Flood #Observations #flooding #UFO #PlanetScope #remotesensing #GIS #spatial #mapping #opensource #opendata #floodmapping #model #modeling #floodmodels #infrastructure #water #hydrology #extremeweather #hydrography #humanimpacts #cost #economics #risk #hazard #segmentationmodel #elevation #topography #surfacewater #satellite #senteniel #IMPACT #testcases -
Scientists See More Vegetation In The Himalayas - But It Is Not Good News, Because That Extra “Green” Can Disrupt Water, Snow, And High-Mountain Biodiversity | Plants Growing Higher Across Himalaya As Climate Warms
(Vegetation On The Move: Elevational Shifts And Greening Dynamics Across The Himalayan Alpine Zone)
--
https://www.ecoticias.com/en/scientists-see-more-vegetation-in-the-himalayas-but-it-is-not-good-news-because-that-extra-green-can-disrupt-water-snow-and-high-mountain-biodiversity/33120/ <-- shared technical article
--
https://news.exeter.ac.uk/faculty-of-environment-science-and-economy/earth-and-environmental-science/plants-growing-higher-across-himalaya-as-climate-warms/ <-- shared technical newsitem
--
https://doi.org/10.1002/ecog.08259 <-- shared (2026) paper
--
https://doi.org/10.1111/gcb.14919 <-- shared (2020) paper
--
“For years, the biggest climate warning from the Himalaya was easy to picture because glaciers were shrinking on the roof of Asia. Now, researchers are pointing to a quieter signal, one that can look almost harmless from a distance. The mountains are getting greener.
New research [link above] shows alpine vegetation moving higher across six Himalayan regions from 1999 to 2022, pushed in part by warming and reduced snow depth. That might sound like nature recovering, but in this fragile landscape, more plant cover at extreme heights may change how snow is stored, how water runs downhill, and how rivers behave for communities far below…”
#GIS #spatial #mapping #remotesensing #earthobservation #satellite #landsat #landcover #NDVI #Himalaya #Nepal #India #Bhutan #climatechange #glacier #vegetation #alpine #level #greening #spatialanalysis #spatiotemporal #snow #water #ice #hydrography #hydrology #ecosystems #humaninpacts #phenology #model #modeling #HighMountainAsia #greenness #ERA5 #vegetationline #altitude #climatictrends #warming #precipitation #rainfall