Official code of the paper "Self-Supervised Learning on Small In-Domain Datasets Can Overcome Supervised Learning in Remote Sensing."

Record of own applications

https://erisonbarros.github.io/BR104_OCUP_FAIXA_DOMINIO/

🌱 Using remote sensing data for catching the dynamics of vegetation restoration on the example of degraded boreal landscapes

This python module extracts land use land cover (LULC) type using Copernicus or MODIS LULC products.

Land Use and Land Cover (LULC) classification using a shallow CNN, and incorporation of domain knowledge of Remote Sensing

This repository is intended to provide a set of QGIS tools to facilitate land use/land cover construction.

Spatio-temporal analysis of land use and land cover changes using GIS and remote sensing techniques.

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.

A shiny application to explore Land Use and Land Cover data

Analytics based on Dynamic World LULC derived from Sentinel - 2 images

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

This repository contains an academic field-based GIS project on Dulahajara Mouza, including land use data collection, digitization in ArcGIS, and a socio-economic survey to understand how land use patterns relate to local livelihoods and development.

Tool to enrich land-use/land-cover data with historical data, OpenStreetMap and protected areas

Repositório usado durante o treinamento do mapbiomas-chile

LULC samples for the Restore+ project dataset.

Moirai - Land Data System

Repository for Amazon biome classification codes.

This project uses a U-Net CNN to classify land use for the entire City ot Toronto at high-resolution in an automated pipeline.

This repository will guide you how to use deep learning algorithms for land use land cover classification using satellite dataset!