Improving land cover classification in drylands with MSAVI: Evidence from the South Aral Seabed The South Aral Seabed is an extreme dryland ecosystem undergoing rapid transformation yet remains misrepresented or absent in global land cover datase…

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.

Effects of urban green space types and historical Land Use/ Land Cover on soil health: Implications for sustainable management Urban green space management is shifting from intensive maintenance toward sustainable practices in response to climate change and biodiversity loss. …

🎉 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

Mapping China's cities at submeter precision Land use and land cover (LULC) information underpins studies in climate science, disaster management, food security, and ecosystem protection. Advances in satellite imaging have improved resolution, but high-resolution land cover mapping still faces major hurdles.

🌍🛰️ 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. 

3/4

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.

Registered with the emailed QR code & found our way to JW Marriott for #LULC session. #AAG2016