Rio-Tiler plugin for public datasets

This repository contains a pipeline blending Python and R features, first to: download, preprocess, and compute Sentinel-1 SAR vegetation indices (all in Python); following for image sampling in R.

In this repository I am sharing a pipeline I have created to ingest, preprocess and finaly create an analysis ready products based on Sentinel 1 and Sentinel 2 images.

static STAC catalog for S1 RTC public dataset

Prefix-aware pipeline to surface Amazonian waterscape candidates (ALOS-2 + Sentinel-1), with figures & write-ups.

flood mapping methodology that combines Sentinel-1 radar data, Sentinel-2 optical data, historical water occurrence data (JRC), and DEM-derived slope within the Google Earth Engine (GEE) platform.

Python lib to create co-locations between Sentinel-1 IW or EW images and SWOT KaRin swath.