The collection focuses on remote sensing technologies and their diverse applications in areas such as environmental monitoring, precision agriculture, and land use management. It includes studies on advanced methodologies like machine learning for data analysis, the evaluation of different platforms for data collection, and their effectiveness in monitoring vegetation and managing natural resources. Key topics include land cover classification, correlation with public health, and innovations in digital image analysis, showcasing the critical role of remote sensing in contemporary research and industry practices.
Spatio-Temporal Analysis and Forecasting of Soil Moisture in North Gujarat using NASA SMAP Data and Google Earth Engine: An Integrated Approach for Agricultural Water Management
