Application of machine learning algorithms and Sentinel-2 satellite for improved bathymetry retrieval in Lake Victoria, Tanzania

Machine-learning workflow for satellite-derived bathymetry in Lake Burullus and Lake Manzala

This software archive supports the study “Machine Learning–Based Satellite-Derived Bathymetry in Opt

Sentinel-2 Satellite Image Processing using Machine Learning Algorithms of the Manombo Nature Reserve

International audience This paper is based on the fields of satellite image processin

Bathymetry Determination from High Resolution Satellite Imagery Using Ensemble Learning Algorithms in Shallow Lakes: Case Study El-Burullus Lake

Evaluating Combinations of Sentinel-2 Data and Machine-Learning Algorithms for Mangrove Mapping in West Africa

Creating a national baseline for natural resources, such as mangrove forests, and monitoring them re

Overall accuracy (%) and kappa coefficient values of three different Machine Learning (ML) algorithms used to classify Sentinel 2 satellite imagery.

Overall accuracy (%) and kappa coefficient values of three different Machine Learning (ML) algori

Early cereal yield prediction using machine learning and Sentinel-1 & Sentinel-2 satellite data

International audience Forecasting cereal production is crucial for food security, es