sentinel-2

A ready-to-use curated list of Spectral Indices for Remote Sensing applications.

Sentinel Hub Cloud Detector for Sentinel-2 images in Python

🌱 Deep Learning for Instance Segmentation of Agricultural Fields - Master thesis

A collection of all earth related space Images in one script to set as your Desktop background.

Remote-sensing opensource python library reading optical and SAR sensors, loading and stacking bands, clouds, DEM and spectral indices in a sensor-agnostic way.

Level-2A processor used for atmospheric correction and cloud-detection. The active repository is the one below, this one is kept to leave access to the older issues.

a deep model that segments water on multispectral images

The STARFM fusion model for Python

Tool to download Sentinel images from PEPS sentinel mirror site : https://peps.cnes.fr

Easily create EO mini cubes from STAC in Python

The official repository for the EuroCrops dataset.

DSen2-CR: A network for removing clouds from Sentinel-2 images. This repo contains the model code, written in Python/Keras, as well as links to pre-trained checkpoints and the SEN12MS-CR dataset.

PyTorch implementation of U-TAE and PaPs for satellite image time series panoptic segmentation.

Urban change model designed to identify changes across 2 timestamps

Python scripts for creating time lapse videos and gifs from Sentinel-2 images

Download and process satellite imagery in JavaScript or TypeScript using Sentinel Hub services.

To process a Sentinel-2 time series with MAJA cloud detection and atmospheric correction processor

Q. Zhang, Q. Yuan, J. Li, Z. Li, H. Shen, and L. Zhang, "Thick Cloud and Cloud Shadow Removal in Multitemporal Images using Progressively Spatio-Temporal Patch Group Learning", ISPRS Journal, 2020.

Sen4AgriNet: A Sentinel-2 multi-year, multi-country benchmark dataset for crop classification and segmentation with deep learning

An open-source benchmark framework for evaluating state-of-the-art deep learning approaches for image classification in Earth Observation (EO)