IEEE

Leveraging Sentinel-2 Multispectral Data and Machine Learning Algorithms for Land Use Land Cover Mapping in Semi-Arid Regions

Abstract: Land use and land cover (LULC) classification is a fundamental approach for landscape pattern mapping and monitoring of natural ecosystems and anthropogenic activities and is, therefore, an ...
IEEE

BD Open LULC Map: High-Resolution Land Use Land Cover Mapping & Benchmarking For Urban Development In Dhaka, Bangladesh

Land Use Land Cover (LULC) mapping using deep learning significantly enhances the reliability of LULC classification, aiding in understanding geography, socioeconomic conditions, poverty levels, and ...
Scientific Research Publishing

Boosting Algorithm: An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ()

Accurate land use/land cover (LULC) classification remains a persistent challenge in rapidly urbanising regions especially, in the Global South, where cloud cover, seasonal variability, and limited ...