A repository containing data for the paper" Urbanization-led land cover change impacts terrestrial carbon storage capacity: A high-resolution remote sensing-based nation-wide assessment in Pakistan (1990–2020)"
-
Updated
Nov 14, 2024 - JavaScript
#
lulc
Here are 7 public repositories matching this topic...
A Google Earth Engine Land use (crops) classification workflow using Random Forest, one year of ground data, Sentinel-2, and Landsats; to produce multiyear annual 30-m crop maps
-
Updated
Apr 21, 2026 - JavaScript
This is a Google Earth Engine (GEE) code written in JavaScript. The code primarily focuses on processing Landsat satellite imagery for the year 1990, including cloud masking, calculating vegetation indices (NDVI and NDBI), and implementing a Random Forest classifier for land cover classification.
-
Updated
Nov 22, 2023 - JavaScript
Methodology description of the Mapbiomas' aquaculture detection target
deep-learningkerasremote-sensingeokeras-tensorflowlulcearth-enginemapbiomas-brazilearth-engine-python-api
-
Updated
May 20, 2026 - JavaScript
Geospatial analysis project for Land Use Land Cover (LULC) classification using Google Earth Engine, Landsat 8 imagery, and Random Forest machine learning in Aceh Besar, Indonesia.
machine-learningrandom-forestgeospatialgislandsatremote-sensinggoogle-earth-enginelulcenvironmental-analysis
-
Updated
Mar 13, 2026 - JavaScript
Remote-sensing analysis of land-use and land-cover change in Ibadan Metropolitan Area using Landsat and Random Forest classification (2013–2023).
gisurban-planninglandsatremote-sensingnigeriageospatial-analysisibadanchange-detectionlulcland-use-land-coverradom-forestgoggle-earth-engine
-
Updated
Aug 5, 2026 - JavaScript
Improve this page
Add a description, image, and links to the lulc topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the lulc topic, visit your repo's landing page and select "manage topics."