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This book focuses on fundamental and applied research on geo-information technology, notably optical and radar remote sensing and algorithm improvements, and their applications in environmental monitoring. This Special Issue presents ten high-quality research papers covering up-to-date research in land cover change and desertification analyses, geo-disaster risk and damage evaluation, mining area restoration assessments, the improvement and development of algorithms, and coastal environmental monitoring and object targeting. The purpose of this Special Issue is to promote exchanges, communications and share the research outcomes of scientists worldwide and to bridge the gap between scientific research and its applications for advancing and improving society.

Research & information: general --- earthquake --- damaged groups of buildings --- classification --- remote sensing images --- Convolution Neural Network (CNN) --- block vector data --- shoreline change --- landsat --- planet scope --- coastline --- morphological changes --- building extraction --- improved anchor-free instance segmentation --- high-resolution remote sensing images --- deep learning --- land use/land cover (LULC) --- GF-6 WFV --- object-oriented --- change detection --- double constraints --- REE mines --- mining and restoration assessment indicators (MRAIs) --- damage --- time trajectory --- effectiveness of management --- aeolian process --- desertification --- multi-sensor fusion --- interferometric SAR --- time-series analysis --- mussel farming --- high-resolution image --- transitional water management --- environmental pollution --- open source software --- synthetic aperture radar (SAR) --- target --- sea surface --- multiple scattering --- geo-hazard mapping --- Gaofen-1 satellite --- land cover --- environmental factors --- susceptibility --- post-classification differencing --- generalized difference vegetation index (GDVI) --- multiple linear regression --- logistic regression --- n/a