An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...
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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, ...
Ritwik is a passionate gamer who has a soft spot for JRPGs. He's been writing about all things gaming for six years and counting. No matter how great a title's gameplay may be, there's always the ...
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 ...
Former athlete and Emmy-winning sports reporter Lindsay Simpson suffered a traumatic brain injury in 2018 that nearly took her life. At a recent event held by the National Academies of Sciences, ...
CREATING NEW NON-CAREER, POLICY-ORIENTED EMPLOYEES IN THE FEDERAL GOVERNMENT: Today, President Donald J. Trump signed an Executive Order creating a new classification of non-career federal workers, ...
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 ...
Abstract: Land use land cover (LULC) classification using satellite images is crucial for land-use inventories and environment modeling. The LULC classification is a difficult task because of the high ...
Land use and land cover (LULC) analysis has become increasingly significant in environmental studies due to its direct impact on the environment. Changes in LULC affect the ecological and climatic ...
This study analyses the spatiotemporal distribution of land use and land cover (LULC) in the United Arab Emirates (UAE) over the past 50 years (1972–2021) using 72 multi-temporal Landsat satellite ...
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