S2coastalbot is a Mastodon bot that posts Sentinel-2 images acquired recently over coastal areas.
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Updated
Jun 3, 2024 - Python
S2coastalbot is a Mastodon bot that posts Sentinel-2 images acquired recently over coastal areas.
Quick start guide for benchmarking MagicBathyNet dataset in learning-based bathymetry and pixel-based classification using Remote Sensing imagery.
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.
Global shoreline mapping tool from satellite imagery
A collection of Imagery Explorer web applications developed by Esri's ArcGIS Living Atlas team
Atmospheric correction processor for high spatial resolution multispectral satellite images
A dockerized toolbox for easily searching, downloading & processing remote sensing imagery from various public sources.
[ISPRS 2024] Sat-SINR: High-Resolution Species Distribution Models through Satellite Imagery
The Clay Foundation Model (in development)
Repository for Digital Earth Australia Jupyter Notebooks: tools and workflows for geospatial analysis with Open Data Cube and Xarray
Remote sensing data processing
Satellite image time series in R
A comprehensive benchmark for real-world Sentinel-2 imagery super-resolution
Download and process satellite imagery in JavaScript or TypeScript using Sentinel Hub services.
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.
A tool for analyzing cloud coverage over any brazilian location based on Sentinel-2 data.
Remote-sensing opensource python library reading optical and SAR sensors, loading and stacking bands, clouds, DEM and spectral indices in a sensor-agnostic way.
Docker image of ESA Sentinel Application Platform (SNAP) from http://step.esa.int/main/toolboxes/snap/ . Download at https://hub.docker.com/r/mundialis/esa-snap
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