SIAC GEE version

Google Earth Engine application that finds Sentinel-2 images that are cloud-free in a particular area of interest.

Example JavaScript source code for ArcGIS imagery apps (Landsat Explorer and Sentinel Explorer) that you can expand or customize.

Natural color representation of Sentinel-2 data

Code used to create NDVI change detection maps from Sentinel-2 imagery on the Google Earth Engine platform.

Implementation of RUSLE method in GEE

Flood mapping and damage assessment in GEE

A Google Earth Engine tool for Automatic classification of forests using Sentinel-2 data. It also serves as supplementary material for the article by Onačillová, Krištofová & Paluba (2023): Automatic Classification of Forests using Sentinel-2 Multispectral Satellite Data and Machine Learning Methods in Google Earth Engine.

Google Earth Engine tool to generate multi-modal and multi-temporal datasets, including spatially and temporally aligned Sentinel-1 SAR data, Sentinel-2 multispectral data, weather and DEM-based data. A supplementary material for Paluba et al. 2024: "Identification of Optimal Sentinel-1 SAR Polarimetric Parameters for Forest Monitoring in Czechia

The Short-term Forest Change Tool (STFC) is a Google Earth Engine script created by the Spring 2020 Costa Rica and Panama Ecological Forecasting team. The main scope of the software is to display changes in vegetation of forested areas and identify regions of possible deforestation.

An infinite collaborative inpainter which allows users to dynamic generate satellite-realistic map tiles.

ESA Sentinel Tile Grid as GeoJSON with extracted properties

Code for generating satellite imagery optimised for marine environment using Google Earth Engine

Image classification in the LANDSAT and SENTINEL satellites images with Google Earth Engine

Personal website repository.

A concise Google Earth Engine toolkit for wildfire monitoring and detection using Sentinel-2 imagery, featuring false-color composites, data annotation, and deep learning readiness.

GEE tool for downloading Sentinel-2 images

A Google Earth Engine Land use (crops) classification workflow using Random Forest, one year of ground data, Sentinel-2, and Landsats; to produce multiyear annual 30-m crop maps

Mapping annual Black Sea coastlines (2017–2024) and change rates using Sentinel-2 and tidal modelling