Latest posts tagged with #LULC on Bluesky
New paper out: MSAVI proves highly effective for #LULC classification in extreme drylands, where other indices can fail. It reveals 53% of the South #Aral Seabed transformed in just 10 years, driven by desiccation and afforestation. The paper presents the latest land cover map of the South Aral Sea.
🎉 New paper out in Urban Forestry & Urban Greening!
We show how urban green space types & land-use history shape soil health in Gießen/Germany.
🌿 Woody stands & meadows > lawns 🌱
📄 www.sciencedirect.com/science/arti...
#urbanecosystems #urbansoil #LULC
🌍🛰️ Unlocking Earth’s secrets! High-resolution maps fuel climate & disaster insights, but charting our world remains a thrilling challenge. ✨ #LULC
Source: phys.org/news/2025-10-china-citie...
3/4 We estimated a spatial range of #LULC effects extending up to about 20 km upstream ↗️ from sampling sites, and explained nearly 60% of the variance in the observed species richness, associated with cropland🌾, forest🌳, and urban 🏙️ area LULC categories.
Congratulations to @kaushalchapagain.bsky.social and co-authors for the successful completion of our paper on the impacts of #climatechange and #LULC on the #WEFNexus in the Ping River Basin, Thailand: go.unu.edu/CTV7c
#AIT, @ununiversity.bsky.social #FLORES, @tudresden.bsky.social, #ABCDCentre
Congratulations to @kaushalchapagain.bsky.social and co-authors for the successful completion of our paper on the impacts of #climatechange and #LULC on the #WEFNexus in the Ping River Basin, Thailand.
#AIT Bangkok, @ununiversity.bsky.social #FLORES, @tudresden.bsky.social, #ABCDCentre
🌊 In #Egypt, the #Nile River is more than a river, it's a lifeline!
A 3D #LULC map and a bivariate map shows high #agricultural activity along the Nile thriving despite low rainfall and drought, thanks to essential irrigation.
🌱 The Nile's flow sustains food security in this arid landscape.
#R
#30DayMapChallenge Day 6:
🏡Land Use & Carbon Emissions🏡
Our plugin for Land Use Land Cover (LULC) Change Emissions Estimation quantifies #CarbonEmissions resulting from #LULC changes.
This map shows changes in Heidelberg between 2017-2024.
📃 Map by Veit et al. (2024, in submission)
Screenshot of the website
Screenshot of the website
Screenshot of the paper
Packages' logo
🛰️ A new paper "scikit-eo: A Python package for Remote Sensing Data Analysis" on a tool for #LULC analysis with various machine learning and neural networks algorithms.🛰️
Article: https://doi.org/10.21105/joss.06692
Software […]
[Original post on fosstodon.org]
We investigated if #fish community structure is determined by the #LULC and #spatial gradients. Fitting distance-decay models and redundancy analyses, we found weaker-than-expected links between the #LULC, #environmental gradients, and the #community structure.
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2/4 We compiled 🐟🐠data in 160,000-km2 subtropical river catchment in 🇹🇭 Thailand characterized by exceptional #biodiversity, yet intense #anthropogenic alterations. We attribute diversity, functional traits & community composition to terrestrial #LULC across catchment.
Out now on #BioRxiv:
#Terrestrial land cover shapes #fish #biodiversity in major #subtropical #rivers biorxiv.org/content/10.1...
combining #eDNA #Biodiversity 🧬🐟 and #RemoteSensing 🛰️ of #LULC 🟦🟩 to get spatial characteristic and extent of human effects on rivers.
Using @what3words & #GoogleForms for simple #LULC field data. I’ll convert student data into fusion tables. I like #ODK but hard to set up.
