Reprint

Remote Sensing of Watershed

Edited by
July 2023
288 pages
  • ISBN978-3-0365-8130-9 (Hardback)
  • ISBN978-3-0365-8131-6 (PDF)

This book is a reprint of the Special Issue Remote Sensing of Watershed that was published in

Engineering
Environmental & Earth Sciences
Summary

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.

Format
  • Hardback
License
© 2022 by the authors; CC BY-NC-ND license
Keywords
multi-source remote sensing; aquaculture mapping; texture feature; Google Earth Engine; Pearl River Basin; land surface temperature; VIC model; wavelet analysis; multiscale analysis; LUCC; MODIS NDVI; vegetation cover; trend analysis; Sen + Mann-Kendall; topography; GWR; Qinghai-Tibet Plateau; maize yield; evapotranspiration; plastic film mulching; G-AquaCrop model; Heihe River basin; evapotranspiration; paddy rice; SEBAL; interannual variation; spatial distribution; Ganfu Plain irrigation system; vegetation browning; warming hiatus; vapor pressure deficit; spring; autumn; Xinjiang; Qijia culture (QJC); spatial diffusion patterns; cultural hearth; circle structure; dryland; SIF; EVI; TROPOMI; extreme drought; SIF; EVI; phenology; NATT; China; drought; SPEI; VPD; vegetation; GPP; water level recognition; hydrological monitoring; deep learning; computer vision; alpine wetland; water retention service; models; Qinghai–Tibetan Plateau; carbon dioxide emissions; global climate change; human footprint index; human pressures; macro control; Ebinur Lake; spatio-temporal fusion model; Sentinel-2; images reconstruction; suspended particulate matter (SPM); n/a