Landsat-8 based coastal ecosystem mapping in South Africa using random forest classification in Google Earth Engine

Google Earth Engine Scripts and Supporting Data for Random Forest-Based Landslide Susceptibility Mapping in Hanang District, Tanzania

This repository contains the Google Earth Engine (GEE) scripts and supporting datasets used to devel

Integrating Remote Sensing and Machine Learning for Crop Classification in Latur Using Google Earth Engine and Random Forest

Mapping land cover change over continental Africa using Landsat and Google Earth Engine cloud computing

This dataset contains continental (Africa) land cover and impervious surface changes o

Land Use and Land Cover Classification in Google Earth Engine Using Sentinel-2 Based Random Forest: A Case Study of Katsina State, Nigeria

Soil Organic Carbon Mapping Through Remote Sensing and In Situ Data with Random Forest by Using Google Earth Engine: A Case Study in Southern Africa

This study, conducted within the SteamBioAfrica project, assessed the potential of Digital Soil Mapp

Detecting changes in mangrove forests along the Bintang Bolong Estuary, Gambia using Google Earth Engine, Sentinel-2 imagery and Random Forest classification