#landsat — Public Fediverse posts on home.social

OptimusPrimeBot @[email protected] · 2026-09-01 · 00:41 UTC

Roman Launches and a New Era Begins (Official NASA Recap) 🛰️

#Agriculturalscience #Agriculture #California #CargoShip #Landsat #Mineralogyorpetrology #Minerals #Minerals/Crystals

⏩ 1 new picture and 5 new videos from NASA (SVS) https://commons.wikimedia.org/w/index.php?search=incategory%3A%22NASA+SVS+files+uploaded+by+OptimusPrimeBot%22&sort=create_timestamp_desc&ns6=1

#agriculturalscience #agriculture #california #cargoship #landsat #mineralogyorpetrology

💧🌏 Greg Cocks @[email protected] · 2026-06-11 · 05:05 UTC

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)
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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
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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
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https://doi.org/10.1002/ecog.08259 <-- shared (2026) paper
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https://doi.org/10.1111/gcb.14919 <-- shared (2020) paper
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“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

#gis #spatial #mapping #remotesensing #earthobservation #satellite

Eugene @[email protected] · 2026-04-06 · 22:58 UTC

💻 I took several completely independent datasets and "pitted" them against each other. One of the results is shown in this chart: the more "concrete" (roads, buildings, parking lots) my machine learning model identified in a community, the higher the surface temperature recorded by the thermal sensor.

🔥 The result: Data from different sources confirm one another. The difference in surface temperature between "green" and "concrete" residential areas averages 8–10°C throughout the summer. On certain days, this gap is likely even wider.

📉 This chart shows only established residential communities. If industrial zones were included, the trend would be even more dramatic. While modeling errors certainly exist, the overall physical pattern is undeniable.

#Calgary #OpenData #UrbanHeat #LULC #DataScience #ClimateAction #YYC #GreennesOfCalgary #ClimateEquity #EnvironmentalEquity #CityPlanning #MachineLearning #RemoteSensing #RStats #Sentinel1 #Sentinel2 #Landsat #fossgis

#datascience #rstats #climateaction #sentinel2 #opendata #yyc

💧🌏 Greg Cocks @[email protected] · 2026-03-31 · 03:50 UTC

Assessment of Shoreline Change in Southeast Ireland Using Geospatial Techniques
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https://doi.org/10.3390/su18073280 <-- shared paper
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"... KEY INSIGHTS:
• Coastlines are highly dynamic — 57% accretion vs 42% erosion
• Strong contrasts between east-facing (Irish Sea) and south-facing (Atlantic) coasts
• Identification of critical erosion hotspots (e.g., Tramore) and accretion zones in embayments
• Coastal change is driven by a combination of wave climate, sediment availability, geology, and human activity
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#GIS #spatial #mapping #Ireland #coast #coastal #dynamics #erosion #accretion #shoreline #change #digitalshoreline #spatialanalysis #spatiotemporal #remotesensing #earthobservation #SoutheastIreland #embayments #wave #climate #stormsurge #geology #humanimpacts #coastalmanagement #risk #hazard #mitigation #sealevel #RSL #risingsealevels #climatechanage #adaption #extremeweather #stormintensity #planning #monitoring #sustainable #Landsat #satellite #regional

#gis #spatial #mapping #ireland #coast #coastal

💧🌏 Greg Cocks @[email protected] · 2026-01-18 · 22:41 UTC

Improving Forest Loss Mapping In Nepal Using Landtrendr Time-Series And Machine Learning
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https://doi.org/10.1016/j.rsase.2025.101864 <-- share paper
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“HIGHLIGHTS:
• ViT-based forest mask, multispectral ensemble LandTrendr and terrain shadow mask.
• District-level RF/XGBoost model training with expert-weighted validation.
• Outperformed GFC and REDD + AI benchmarks in accuracy and F1 performance.
• RF excelled in High Mountains/Himalayas; XGBoost in the lower Mountain regions.
• NBR contributed the most; snow-impacted forest loss uncertainty was observed..."
#Forestdisturbance #forest #disturbance #remotesensing #LandTrendr #workflow #timeseries #ViT #RF #XGBoost #GEE #Nepal #ForestNepal #spatial #GIS #mapping #earthobservation #landsat #Himalayas #mountains #alpine #vegetation #AI #multispectral #monitoring #spatialanalysis #spatiotemporal #loss #change #machinelearning #NDR #conservation #planning #policy #mitagion #ecology #Karnali #Bagmati, #Darchula #Siwalik #GlobalForestChange #Degradation

#forestdisturbance #forest #disturbance #remotesensing #landtrendr #workflow

Eugene @[email protected] · 2025-11-11 · 15:49 UTC

🏙️ The Hellish Trade Zones
(Ukrainian: “Торговельні пекельні зони”)

An older piece from 2017 — but still relevant today.
Using Landsat-8 thermal imagery, I explored how urban heat islands form in large commercial and industrial areas completely devoid of vegetation.

These “hellish trade zones” show surface temperatures exceeding 45–50 °C, while nearby shelterbelts and green spaces remain much cooler.
The visual storytelling approach — combining satellite data, maps, and simple explanations — helped raise public awareness about urban greening and environmental health in my city.

📍 Location: Kryvyi Rih, Ukraine
🛰️ Data: Landsat-8 (July 15, 2016), thermal band 10 + NDVI
🔗 More: https://www.datastory.org.ua/%d1%82%d0%be%d1%80%d0%b3%d0%be%d0%b2%d0%b5%d0%bb%d1%8c%d0%bd%d1%96-%d0%bf%d0%b5%d0%ba%d0%b5%d0%bb%d1%8c%d0%bd%d1%96-%d0%b7%d0%be%d0%bd%d0%b8/

#UrbanHeatIsland #RemoteSensing #Landsat #UrbanEcology #ClimateChange #EnvironmentalData #UrbanGreening #Geospatial #GIScience #OpenScience #DataVisualization #Ukraine #Sustainability #KryvyiRih #UrbanHealth