Tools to query, download, preprocess and postprocess Sentinel-2 data

Agricultural Monitoring exploiting Sentinel 1 and Sentinel 2. SandboxNL contains detailed explanations about the creation and usage of the parcel based Sentinel datasets.

Rio-Tiler plugin for public datasets

Intertidal DEM from Spectral Imagery and Water Level

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.

Super-Resolution of Sentinel-2 Using Generative Adversarial Networks

Do the forward run of the ProSAIL RTM. Generates look up tables with plant trait and resepective reflectance spectra.

Virtual Computation Cube for Earth Observation Data

Sentinel-2 Cloud and Shadow Detection using Machine Learning

A quick & dirty script to automate computing several Sentinel-2 indices

A repository of miscellaneous JavaScript-based packages for Google Earth Engine (GEE)

DeepLabV3-3D model used on Sentinel2-Munich480 Dataset.

BandNet: an architecture for water segmentation for localized regions

Upsampling already available land cover raster layers using machine learning inside Google Earth Engine platform.

Geospatial (Sentinel2 Multi-Spectral) support for fastai

Small satellite coverage viewer

Deep learning pipeline (UNet) for built-up area extraction from Sentinel-2 imagery — applied to Chennai for urban heat island and climate risk analysis

Presentation of the ICML2019 Time Series Workshop

Machine Learning classification of cropland vs non-cropland using Sentinel-2 satellite imagery and vegetation indices. Achieving 100% accuracy through spectral analysis in Ghana's Brong-Ahafo region. Built with Python, Scikit-learn, and Google Earth Engine.