Remote Sensing of Watershed

• Format: eBook
• Language: English
• Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
• Subjects: Environmental science, engineering and technology; History of engineering and technology; Technology: general issues; alpine wetland; aquaculture mapping; autumn; carbon dioxide emissions; China; circle structure; computer vision; cultural hearth; deep learning; drought; dryland; Ebinur Lake; evapotranspiration; EVI; extreme drought; G-AquaCrop model; Ganfu Plain irrigation system; global climate change; Google Earth Engine; GPP; GWR; Heihe River basin; human footprint index; human pressures; hydrological monitoring; images reconstruction; interannual variation; land surface temperature; LUCC; macro control; maize yield; models; MODIS NDVI; multi-source remote sensing; multiscale analysis; n/a; NATT; paddy rice; Pearl River Basin; phenology; plastic film mulching; Qijia culture (QJC); Qinghai-Tibet Plateau; Qinghai-Tibetan Plateau; SEBAL; Sen + Mann-Kendall; Sentinel-2; SIF; spatial diffusion patterns; spatial distribution; spatio-temporal fusion model; SPEI; spring; suspended particulate matter (SPM); texture feature; topography; trend analysis; TROPOMI; vapor pressure deficit; vegetation; vegetation browning; vegetation cover; VIC model; VPD; warming hiatus; water level recognition; water retention service; wavelet analysis; Xinjiang
• Online Access: Open Access: DOAB: description of the publication; Open Access: DOAB, download the publication
• Physical Description: 1 online resource (288 p.)
• ISBN: 9783036581309; 9783036581316; books978-3-0365-8131-6
• Access: Open Access

This reprint focuses on applying remote sensing techniques in watersheds in terms of hydrology, ecology, environment, and human activities. It aims to contribute to the current understanding of integrating research scopes and developing advanced methods in the field of remote sensing of watershed. The development of the multiscalar, multidimensional, and interdisciplinary nature of the application of remote sensing in watershed studies is of particular interest. Special attention is given to watershed mapping, monitoring of underlying surface elements in the watershed, inversion of water cycle parameters, water resource assessment, acquisition of watershed ecological environment parameters, monitoring natural disasters, analyzing upstream and downstream, supporting water governance priorities, water resource development, and irrigation water management. The studies propose a series of advanced data, models, and strategies to serve watershed research better.