Selective Ensemble Machine Learning for Mapping Potential Invasion of Vachellia drepanolobium in Ethiopian Savanna Ecosystem Using Sentinel-2 and Environmental Variables

Mapping Opuntia stricta in the arid and semi-arid environment of Kenya using sentinel-2 imagery and ensemble machine learning classifiers

Globally, grassland biomes form one of the largest terrestrial covers and present critical social–ec

Land Cover Mapping in a Mangrove Ecosystem Using Hybrid Selective Kernel-Based Convolutional Neural Networks and Multi-Temporal Sentinel-2 Imagery

Mangrove ecosystems provide numerous ecological services and serve as vital habitats for a wide rang

Crop mapping using sentinel-1 and sentinel-2 imagery: a systematic review of machine learning classification methods (2015–2025)

Accurate crop classification is essential for global food security under climate uncertainty. This s

Sentinel-2 for High Resolution Mapping of Slope-Based Vegetation Indices Using Machine Learning by SAGA GIS

Vegetation of Cameroon includes a variety of landscape types with high biodiversity. Ecolog

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

Mapping and modeling groundwater potential using machine learning, deep learning and ensemble learning models in the Saiss basin (Fez-Meknes region, Morocco)