Remote Sensing for Water Resources and Environmental Management

In line with the United Nations Sustainable Development Goal (SDG) 6, main goal of Special Issue on “Remote sensing for water resources and environmental management” was to solicit papers from a diverse range scientists around world use cutting-edge remote technologies assess monitor freshwater quality, quantity, availability, management ensure security. consideration given scientific manuscripts that covered, but were not limited to, development geospatial techniques applications detecting, quantifying, monitoring resources, identifying potential threats agriculture, as well other themes related at various spatial scales. The attracted over thirteen peer-reviewed articles, majority originating China. Most studies made satellite datasets, ranging coarse resolution data, such Gravity Recovery Climate Experiment (GRACE) GRACE Follow-On (GRACE-FO), medium Landsat series, ERA5, Modern-Era Retrospective Analysis Research Application Land version 2 reanalysis product (MERRA2), CLSM NOAH ET, MODIS (Moderate Resolution Imaging Spectroradiometer). Google Earth Engine (GEE) together big data processing techniques, sensing-based energy balance model (ALEXI/DisALEXI approach) STARFM fusion technique, used analyzing datasets. Overall, this demonstrated significant knowledge gaps in image improved computing processes assessing environment temporal