A curated list supporting the use of Sentinel-1 and Sentinel-2 analysis-ready data (ARD) in the UK

Experiments for the Climate Change AI summer school 2023 tutorial on "AI for Monitoring, Reporting, and Verification"

Materials for the OGH 23 tutorial on S1 and S2 data handling with R and Python

Sentinel-2 Tile Previewer by MGRS

SMETool is a web-based tool for Soil Moisture monitoring

All to do with spatial data analysis, Raster Image analysis

Estimación de turbidez en el agua a la entrada de la planta de tratamiento de SAMEEP, utilizando los productos Sentinel-2 MSI L2A y aprendizaje automático.

DL-LULC-Classifier is a deep learning project for Land Use and Land Cover (LULC) classification using Convolutional Neural Networks (CNNs). It features can support multiple models, easy integration with Django and HTMX as frontend. This tool is ideal for environmental monitoring and geospatial analysis.

Develop a technology for detecting mining sites using images from the optical satellite Sentinel-2. Specifically, it involves classifying images that contain mining sites and those that do not.

This repository contains all the data and scripts to explore the greenness response of the vegetation from the Forest Floristic Inventory of Santa Catarina to seasonal variations in rainfall and temperature.

Sentinel 2 True Color Cloud-Optimized GeoTIFF (COG) Generator and Viewer

Use STAC API to Bulk Query NASA HLS Remote Sensing Data

Scripts and data for analyzing burn severity of the January 2025 Southern California wildfires using Sentinel-2 satellite imagery. This project explores the use of the Differenced Normalized Burn Ratio (dNBR) and Relativized Burn Ratio (RBR) to classify burn severity, leveraging publicly available satellite data.