Change detection of remotely sensed health and social care essay
Therefore, the inclusion of a special issue in the journal Remote Sensing is timely to drive innovation and improvement in change detection using data from multiple sources. In this special issue, we would like to discuss the latest developments and trends in change detection using remotely sensed images from multiple sources. The GIS interface provides an exceptional resource for data processing, providing updated land use information on land cover LULC. and change maps can be created, evaluated and interpreted. Change detection from remote sensing RS data is an important method for detecting changes on the Earth's surface and has a wide range of applications in urban planning and the environment. Multi-temporal change detection involves detecting and extracting information about land cover changes in the same study area over different time periods Bovolo et al. 2018 Solano-Correa et al. 2. A new change detection method using remote observed image time series values and shape-based dynamic time-warping. The paper, mainly scenery TM remote sensing images of Landsat satellite landscape ETM remote sensing image, carried out monitoring and analysis of land use, coverage change of. Time series analysis of land cover change using remotely sensed multi-source urban data based on machine learning: a case study of Shenzhen, China