#earthobservation - 101010.pl

5 posts3 participants0 posts today

Greg Cocks @GregCocks@techhub.social

The Diverse Mountainous Landslide Dataset (DMLD) - A High-Resolution Remote Sensing Landslide Dataset in Diverse Mountainous Regions
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https://doi.org/10.3390/rs16111886 <-- shared paper
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#GIS #spatial #mapping #landslide #dataset #detection #deeplearning #remotesensing #highresolution #earthobservation #massmovement #geology #engineeringgeology #risk #hazard #naturaldisaster #machinelearning #AI #mountain #mountainous #region #China #Yunnan #casestudy #geomorphlogy #geomorphometry #India #NewZealand #Kodagu #Kaikoura #cost #economics #infrastructure #publicsafety #spatialanalysis #model #modeling

Greg Cocks @GregCocks@techhub.social

Weak Asthenosphere Beneath The Eurasian Interior Inferred From Aral Sea Desiccation
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https://doi.org/10.1038/s41561-025-01664-w <-- shared paper
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#GIS #spatial #mapping #remotesensing #earthobservation #inSAR #AralSea #rebound #isostaticrebound #asthenosphere #geology #structuralgeology #mantle #crust #weight #rheology #spatialanalysis #spatiotemporal #continent #desiccation #loss #drying #water #hydrology #elastic #viscoelastic #model #modeling #uplift #lithosphere #humanimpacts #tectonic

Greg Cocks @GregCocks@techhub.social

Avalanche Debris Detection From Sentinel-2 Data Using Fuzzy Machine Learning And Colour Spaces For The Indian Himalaya
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https://doi.org/10.1080/2150704X.2025.2488532 <-- shared paper
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#GIS #spatial #mapping #snowavalanches #snow #avalanches #machinelearning #fuzzyclassification #SVM #AI #randomforest #model #modeling #forecasting #risk #hazard #massmovement #engineeringgeology #remotesensing #earthobservation #imagery #spatialanalysis #spatiotemporal #change #debris #detection #satellite #sentinel #Himalaya #Himalayas #performance

Greg Cocks @GregCocks@techhub.social

Ancient Lakes And Rivers Unearthed In Arabia's Vast Desert
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https://phys.org/news/2025-04-ancient-lakes-rivers-unearthed-arabia.html <-- shared technical article
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https://doi.org/10.1038/s43247-025-02224-1 <-- shared paper
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#GIS #spatial #mapping #water #hydrology #quaternary #desert #geomorphology #landforms #geomorphometry #Arabia #climatechange #RubalKhali #SaudiArabia #holocene #model #modeling #spatialanalysis #spatiotemporal #earthsystemmodel #geology #lacustrine #fluvial #sediments #sedimentary #flood #flooding #lakes #AfricanMonsoon #rivers #paleohydrology #stratigraphy #remotesensing #landsat #earthobservation #dating #delta #cliff #terrace #rainfall #precipitation

Greg Cocks @GregCocks@techhub.social

Landscape Metrics - “R As GIS” Course
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https://jakubnowosad.com/rgis2025/output/landscape_metrics.html#/title-slide <-- shared presentation
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#GIS #spatial #mapping #R #tutorial #onlinelearning #presentation #rasters #remotesensing #earthobservation #landscape #metrics #spatialanalysis #spatiotemporal #natural #social #cultural #ecosystems #biodiversity #water #waterquality #usecase #geomorphology #geomorphometry #patterns

Greg Cocks @GregCocks@techhub.social

Earth's Storage Of Water In Soil, Lakes And Rivers Is Dwindling - And It's Especially Bad For Farming
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https://phys.org/news/2025-03-earth-storage-soil-lakes-rivers.html <-- shared technical article
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https://doi.org/10.1126/science.adq6529 <-- shared paper
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#water #hydrology #waterresources #global #management #watersecurity #soil #lake #river #snow #groundwater #agriculture #sealevelerise #SLR #climatechange #farming #overuse #waste #moisture #soilmoisture #ecology #ecosystems #storage #model #modeling #spatialanalysis #spatiotemporal #rainfall #drought #consistency #wateruse #crop #plant #vegetation #irrigation #foodsecurity #evapotranspiration #ET #surfacewater #flux #GIS #spatial #mapping #remotesensing #earthobservation #waterstorage #depletion

Greg Cocks @GregCocks@techhub.social

NASA Earth Surface Mineral Dust Source Investigation (EMIT) Remote Sensing And Mapping
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https://earth.jpl.nasa.gov/emit/ <-- shared NASA EMIT home page
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https://phys.org/news/2023-12-nasa-emit-instrument-global-airborne.html <-- shared technical article
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https://youtu.be/z9RjGdfxSDk?si=vMU9UAtAUcnvetwm <-- shared overview video
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#GIS #spatial #mapping #fedscience #remotesensing #earthobservation #mineral #rockdust #source #investigation #calcite #chlorite #transport #dust #suspended #atmosphere #affects #effects #heating #cooling #albedo #spatialanalysis #spatiotemporal #nutrient #loess #publichealth #model #modeling #mineraldust
@nasa

Greg Cocks @GregCocks@techhub.social

Data In Action: The 2022 Hunga-Tonga Hunga-Ha′Apai Eruption - Altimetry Data And Models Help Us Understand How A Volcanic Eruption Generated A Tsunami
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https://podaac.jpl.nasa.gov/DataAction-2025-03-20-The-2022-Hunga-Tonga-Hunga-Haapai-eruption-Altimetry-data-and-models-help-us-understand-how-a-volcanic-eruption-generated-a-tsunami <-- shared technical article
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https://doi.org/10.1038/s43247-024-01694-z <-- shared paper
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https://podaac.jpl.nasa.gov/dataset/JASON_CS_S6A_L2_ALT_LR_RED_OST_NTC_F08 <-- shared NASA dataset - Sentinel-6A MF Jason-CS L2 P4 Altimeter Low Resolution (LR) NTC Reduced Ocean Surface Topography F08
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#GIS #spatial #mapping #earthobservation #remotesensing #fedscience #tonga #HungaTonga #HungaHaApai #eruption #volcanic #volcano #Pacific #marine #geology #engineeringgeology #risk #hazard #satellite #altimetry #data #model #model #spatialanalysis #Tsunami #risk #hazard #monitoring #coast #coastal #naturalhazard #Sentinel #sealevel #warning #earlywarning
@nasa

Greg Cocks @GregCocks@techhub.social

The Harmonized Landsat Sentinel-2 Project Releases Vegetation Indices
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https://www.earthdata.nasa.gov/news/harmonized-landsat-sentinel-2-project-releases-vegetation-indices <-- shared technical article
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https://hls.gsfc.nasa.gov/ <-- shared NASA Harmonized Landsat Sentinel-2 Project page
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https://youtu.be/63ljR84c85M?si=3Q0PDOuFgKG8nIrA <-- shared NASA overview video
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#GIS #spatial #mapping #fedscience #OPERA #remotesensing #earthobservation #satellite #opendata #global #vegetation #indices #HLS #Landsat #Sentinel #HLSL30VI #HLSSS30VI #greenness #moisturecontent #burned #change #OLI #MultiSpectral #NDVI
@nasa | @ESA

Greg Cocks @GregCocks@techhub.social

European Geological Open Data (Map And Data) From The European Geological Data Infrastructure (EGDI)
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https://www.europe-geology.eu/data-tools/map-viewer/ <-- shared link to map viewer
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#geology #geosciences #earthsciences #data #spatialdata #criticalminerals #mining #geothermal #netzero #groundwater #carboncapture #ccs #GIS #spatial #mapping #opendata #webmapping #mapportal #Europe #EGDI #framework #GSEU #resources #naturalresources #opendata #water #naturalresources #geomorphology #bathymetry #geophysics #topobathy #remotesensing #earthobservation #waterresources

CosmicRami @CosmicRami@aus.social

A while back (around seven months ago) I posted an image of ISS (first image), but captured FROM ABOVE (higher orbit). This is the work of Aussie company HEO!

This type of work is really fascinating as things (like satellites) are all moving at high velocities up there (28,000 km/h) - so other things (like other satellites or space stations) zip past quickly. You would then need to 'de-zip' the object to make a crisp clear image.

Well, they've done it again.

This time, imaging the Chinese Space Station (second image) from a distance of 83 kilometres (resolution of 0.17 m/px)

This is really cool stuff. I promise.

BlackSky / HEO

grainy but detailed image of the international space station, showing its large solar panels and different modules. Several spacecraft attached to the station are also annotated.

The Chinese Space Stations, showing extended modules and two long arms of solar panels (four rows in total). The image is captured from a BlackSky satellite in a higher orbit.

#Space #EarthObservation #SpaceStation

GRASS GIS @grassgis@fosstodon.org

Curious about using #GRASS and #R for geospatial data analysis?
Dive into our latest R tutorial and get started now!

https://grass-tutorials.osgeo.org/content/tutorials/get_started/fast_track_grass_and_R.html

#rtutorial #geospatialdata #geospatialanalyst #datascience #earthobservation
https://grass-tutorials.osgeo.org/content/tutorials/get_started/fast_track_grass_and_R.html

grass-tutorials.osgeo.orgGet started with GRASS & R: the rgrass packageLearn how to use GRASS and R to analyze geospatial data.

Academic Europe @AcademicEurope@mstdn.business

Job - Alert

POSTDOC POSITION (F_M_X) - MULTI-SCALE LIDAR AND EUROPEAN BIOMASS MONITORING

Deadline: 2025-04-22
Location: Germany, Potsdam, Brandenburg

https://www.academiceurope.com/job/?id=7263

#hiring #Postdoc #geoscience

Greg Cocks @GregCocks@techhub.social

LiDAR For Rapid Geomorphological Assessment In Relict Periglacial Landsystems
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https://doi.org/10.1144/egsp30-2024-46 <-- shared paper
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#GIS #spatial #mapping #remotesensing #earthobservation #LiDAR #A21 #transportation #motorway #UK #England #Kent #geology #engineeringgeology #earthworks #massmovement #risk #hazard #slope #failure #construction #groundworks #excavation #forensic #periglacial #landforms #glacial #deposition #landsystem #geohazards #geomorphology #model #spatialanalysis #casestudy

Greg Cocks @GregCocks@techhub.social

NASA’s New Satellite Could Change the Way We Farm Forever
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https://scitechdaily.com/nasas-new-satellite-could-change-the-way-we-farm-forever/ <-- shared technical article
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https://nisar.jpl.nasa.gov/ <-- shared NISCAR page
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https://youtu.be/ONHTazfGoiM?si=y2n0abh5B4UBAyuW <-- shared overview video
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Precision Agriculture at Scale | Mapping Crops with Advanced Radar | Cutting-Edge Techniques for Crop Identification | Enhancing Crop Forecasts with NISAR Data | Tracking Soil Moisture for Smarter Farming
#GIS #spatial #mapping #farming #agriculture #farmingintelligence #spatialanalysis #spatiotemporal #fedscience #satellite #earthobservation #remotesensing #policy #planning #management #efficiency #radar #planting #irrigation #waterresources #tools #resources #economics #costs #moisture #crops #AI #machinelearning #water #hydrology #NISAR
@nasa | @ISRO | @JPL

Greg Cocks @GregCocks@techhub.social

A Google-Backed… [Satellite] To [Help] Battle Wildfires Made It Into Orbit
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https://techcrunch.com/2025/03/17/a-google-backed-weapon-to-battle-wildfires-made-it-into-orbit/ <-- shared technical article
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https://sites.research.google/gr/wildfires/firesat/ <-- shared Google FireSat home page
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https://youtu.be/pmQlXLaHT_Y?si=q3wM80t7qQysAQxU <-- shared video overview of FireSat
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https://www.earthfirealliance.org/ <-- shared Earth Fire Alliance home page
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[this post should not be considered an endorsement of this product]
#GIS #spatial #mapping #FireSat #monitoring #fire #wildfire #EarthFireAlliance #Google #satellite #remotesensing #earthobservation #detection #tracking #earlywarning #multispectral #infrared #spatialanalysis #spatiotemporal #risk #hazard #climatechange #extremeweather #impacts #humanimpacts #infrastructure #damage #AI #machinelearning #emergencyresponse #model #modeling
@Google @GoogleResearch @EarthFireAlliance @MuonSpace

Greg Cocks @GregCocks@techhub.social

FARMing With Data - OpenET Launches New Tool For Farmers and Ranchers
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https://www.nasa.gov/centers-and-facilities/ames/ames-science/farming-with-data-openet-launches-new-tool-for-farmers-and-ranchers/ <-- shared NASA article
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https://etdata.org/ <-- shared OpenET home page
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#GIS #spatial #mapping #OpenET #FARMing #spatialdata #spatialanalysis #spatiotemporal #farmers #agriculture #water #hydrology #NASA #USGS #waterresources #ET #evaporation #transpiration #efficiency #weather #climate #evapotranspiration #model #modeling #planning #conservation #sustainability #remotesensing #earthobservation #management #satellite #watermanagement
@USGS @nasa

Greg Cocks @GregCocks@techhub.social

Coastal Environments - LiDAR Mapping of Copper Tailings Impacts, Particle Retention of Copper, Leaching, and Toxicity
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https://doi.org/10.3390/rs17050922 <-- shared paper
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#GIS #spatial #mapping #remotesensing #earthobservation #coastalenvironment #coast #coastal #mine #tailings #minetailings #GlobalTailingsManagementStandard #Keweenaw #LiDAR #bathymetry #topobathy #UAS #drone #particledispersal #copper #retention #leaching #BuffaloReef #toxicity #Daphnia #benthic #organisms #risk #hazard #contamination #impacts #sediment #water #hydrology #Michigan #USA #LakeSuperior #PortageLakeVolcanic #geology #spatialanalysis #biology #ecosystems #fisheries #trout #enviornmentalimpacts #leaching #riparian #systems

maps - Geographic location of Grand (Big) Traverse Bay (red to green contours) along the eastern shoreline of the Keweenaw Peninsula. On the Peninsula, early copper mines are indicated by black dots within the Portage Lake Volcanic Series (dashed lines) and large stamp mills by stars. Two mills (Wolverine and Mohawk) are located near Gay. Insert shows anthropogenic copper inventory “halo” around the Peninsula, in µg/cm² copper

maps - Grand (Big) Traverse Bay: 2010 LiDAR DEM (digital elevation model) colour-coded by elevation and water depth (depth scale to right). Red horizontal contour lines are at 5 m depth intervals. Gay tailings pile (“original pile”) is indicated, as well as migrating underwater stamp sand bars dropping into an ancient river channel (the Trough; at locations #1, and #5). On the eastern flanks of Buffalo Reef, stamp sands are moving out of the Trough into cobble/boulder fields (#3, #4). Along the western edges, stamp sands have migrated as a beach deposit to the Traverse River Seawall (#8) and are slipping down into an underwater depression (#7) next to cobble/boulder fields. Stamp sands are also moving around the harbour outlet (#8). Hence, both the eastern and western sides of Buffalo Reef are experiencing tailings encroachment. Lower on the reef (#2, #6), there is little contamination. Past the Traverse River, the sands in the southern bay are almost exclusively natural quartz grains (#9), forming a white beach with shoreline cusp-like features and bar, plus ridges (#10) of natural sand moving from the shelf into deeper waters off the bay and into Lake Superior

aerial images - UAS high-resolution drone elevation and bathymetry surveys (base map 9 August 2022) of shoreline retreat at the original Gay pile location after bluff removal. Overlays along the beach edge trace shorelines in 2009, 2016, and 2022. The 78 m retreat over 6 years (2016–2022); equates to a 13 m/yr rate. The previous, nearly constant, long-term retreat rate prior to 2009 averaged 7.9 m/yr (ca. 26′) [7,57]. The original Jacobsville Sandstone shoreline, before stamp sands were discharged, is marked by the red border in the far-left upper region. Note white concrete basements of the two mills and remnants of both wooden and broken concrete launders in the northern region. Environmental recovery is beginning, as benthic organisms and fish are returning to clear underwater stretches of the bedrock shelf, where waves have removed stamp sands. Scattered trees (many birch) are beginning to colonise what is left of the original Gay Pile surface.

photos - Gay Stamp Sand Pile. (a) Wooden discharge launder distributing tailings onto the Gay Pile, around 1922, with smaller sluices conveying stamp sand and slime clays laterally (courtesy MTU Archives). (b) Photo of 6–8 m high stamp sand bluffs in July 2008 off Gay, showing a buried small lateral sluiceway protruding out of the pile along the shoreline. Lake Superior waters are to the right; the dark beach sands are stamp sands with intermixed slime clay layers. (c) Bluff photo from about the same location in 2019, when shoreline erosion (ca. 7–8 m/year) reached the buried launder support beams, just before bluff removal.

Greg Cocks @GregCocks@techhub.social

New Map Of Landscape Beneath Antarctica Unveiled
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https://phys.org/news/2025-03-landscape-beneath-antarctica-unveiled.html <-- shared technical article
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https://doi.org/10.1038/s41597-025-04672-y <-- shared paper
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#GIS #spatial #mapping #Bedmap3 #icebed #surface #thickness #gridded #datasets #Antarctica #raster #model #modeling #landscape #elevation #icesheet #survey #remotesensing #earthobservation #climatechange #warming #climate #melt #melting #seafloor #subglacial #geophysical #survey #topography #geology #bathymetry #topobathy #BritishAntarcticSurvey
@BritishAntarcticSurvey

schematic / flow chart - Schematic showing the Bedmp3 source datasets (white boxes) combining to make intermediate products (blue boxes) and ultimately the final set of grids (orange boxes) and their uncertainties (yellow boxes). Note that the surface grid has a uniform estimated uncertainty (Section Uncertainty estimates).

maps - Bedmap3 grids of (a) bed topography and (b) surface elevation, in metres above sea level (g104c geoid), and (c) ice thickness in metres. Locations labelled in (b) are referred to in the text

The BedMachine v3 bed has some subjective advantages over Bedmap3 where glacier flow is relatively fast, but survey data are sparse. (a) Surface flow speed43; (b) BedMachine v3 bed topography; (c) Bedmap3 bed topography, both overlaid on shaded relief and with survey data shown as grey lines. The black dotted line highlights a trough under slow-flowing ice that is more smoothly continuous in Bedmap3. The white oval highlights the trough of a relatively fast-flowing ice stream that in BedMachine v3 is more smoothly streamlined and subjectively more realistic than in Bedmap3, given the typical streamlined form of deglaciated ice stream landscapes. An objective test of bed accuracy in this area requires more survey data.

maps - The Bedmap3 survey dataset allows us to calibrate the more continuous and extensive freeboard-based ice shelf thickness grid. (a) Pointwise ice thickness biases between 119,000 survey measurements and the freeboard-derived ice thickness grid47 on the Ross Ice Shelf, showing coherent patterns of bias; (b) these pointwise offsets median-filtered over a 20 km radius; (c) spline-interpolated calibration grid of the filtered offsets in (b); (d) bias-corrected version of the freeboard-derived ice thickness grid after subtraction of the calibration grid in (c).

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