School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu Rigorous urbanization leads to unprecedented climate change. Pune area in India has witnessed recent ...

Abstract: Accurate land use and land cover (LULC) classification from remote sensing images (RSIs) is a challenging task due to issues such as the coexistence of multiple objects, scale differences, ...

ABSTRACT: Waste generation in Kenya has been increasing with the rapid urbanization (Haregu et al., 2017; Okot-Okumu, 2012). Almost 50% of the waste is generated in urban centers, and 0.5 kg per ...

1 Institute of Soil Science and Site Ecology, Faculty of Environmental Sciences, Technische Universität Dresden, Dresden, Germany 2 Institute for Integrated Management of Material Fluxes and of ...

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 This project focuses ...

Arid and semiarid regions face challenges such as bushland encroachment and agricultural expansion, especially in Tiaty, Baringo, Kenya. These issues create mixed opportunities for pastoral and ...

Built a basic pipeline for LULC classification. Achieved ~98% test accuracy using Random Forest on spectral bands. Current outputs include model predictions, evaluation metrics, and prediction maps.