Ensemble Deep Learning Approach for Turbidity Prediction of Dooskal Lake Using Remote Sensing Data

Predicting turbidity dynamics in small reservoirs in central Kenya using remote sensing and machine learning

Novel Machine Learning Approach for Predicting Poverty using Temperature and Remote Sensing Data in Ethiopia

In many developing nations, a lack of poverty data prevents critical humanitarian organizations from

Using machine learning algorithms to analyze remote sensing and ground-truth Lake Chad’s level data

Abstract. Lake Chad is facing critical environmental situations since the 1960s due to the effects o

Mapping the spatial changes in Lake Volta using multitemporal remote sensing approach

Abstract Lake Volta is the world's largest man‐made lake by surface area, and the fourth largest by

Deep Self-taught Learning for Remote Sensing Image Classification

This paper addresses the land cover classification task for remote sensing images by deep self-taugh

AI-Based Soil Health Monitoring Using Remote Sensing and Deep Learning

Soil health is a critical component of sustainable agriculture and environmental management. Traditi