A Comparative Study of Landsat 8 Applications in Cloud Simulation, Change Detection, and Environmental Monitoring

This comparison examines various studies utilizing Landsat 8 imagery for diverse applications in environmental monitoring and agricultural analysis. It covers topics such as thin cloud simulation in the visible spectrum, advanced change detection techniques, spatio-temporal data fusion for NDVI time series in cropland areas, and real-time estimation of chlorophyll content. Additionally, it evaluates models for estimating chlorophyll-a concentration in rivers. This comparison is valuable for students, scholars, and remote sensing researchers interested in exploring the versatility of Landsat 8 for environmental studies, land cover monitoring, and agricultural assessments.