land-use topic
pixel_level_land_classification
Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded...
urbansprawl
Open framework for calculating spatial urban sprawl indices and performing disaggregated population estimates using open data
satsense
Satsense is a Python library for land use/cover classification using satellite imagery
landcover-orinoquia
Land cover mapping of the Orinoquía region in Colombia, in collaboration with Wildlife Conservation Society Colombia. An #AIforEarth project
EfficientBigEarthNet
Code and models for efficient training on the BigEarthNet dataset for Land Use Land Cover classification