Abstract Space-based crop identification and acreage estimation have played a significant
role in agricultural studies in recent years, due to the development of Remote Sensing …

The identification of land use/land cover (LULC) changes is important for monitoring,
evaluating, and preserving natural resources. In the Kurdistan region, the utilization of …

Abstract The Soil and Water Assessment Tool (SWAT) is an ecohydrological model that has
been widely applied to assess water quality and watershed management. This tool also has …

This study was conducted to investigate the effect of farming and pasture area extensions on
land use and land cover in the North Eastern Corridor of Ghana. Landsat 5 TM+ image …

Large-area crop type identification and map** for cropland are intensively crucial for
agriculture research, yield forecast, and disaster management. The United States …

Abstract The Convolutional Neural Network (CNN) algorithm is used to classify multispectral
images of labelled EuroSAT data from Sentinel-2 satellite. The main objective of this study to …

Multi-temporal land use/land cover (LULC) change analysis is essential for environmental
planning and recourses management. Various global LULC datasets are available now …

Understanding and managing land use and land cover (LULC) changes are crucial for
addressing environmental challenges, promoting efficient utilization of natural resources …

Remote sensing techniques for shoreline extraction are crucial for monitoring changes in
erosion rates, surface hydrology, and ecosystem structure. In recent years, Convolutional …

Understanding the drivers and magnitude of land use/land cover dynamics is important for
land use planning and sustainable natural resource management. To this end, this study …