Improvements to a Crucial Budyko-Fu Parameter and Evapotranspiration Estimates via Vegetation Optical Depth over the Yellow River Basin

• Published in: Remote sensing (Basel, Switzerland) Vol. 16; no. 15; p. 2777
• Main Authors: Wang, Xingyi, Jin, Jiaxin
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.08.2024
• Subjects: Biomass; Budyko-Fu model; Climate change; Climate models; Datasets; Evapotranspiration; Global warming; Hydrologic cycle; Normalized difference vegetative index; Optical analysis; Optical thickness; Parameter estimation; Plant biomass; Precipitation; Radiation; Regional development; Regression analysis; Remote sensing; River basins; Rivers; SPEI; Sustainable development; Time series; Vegetation; vegetation biomass; vegetation coverage; vegetation optical depth; Video-on-demand; Water balance; Water balance (Hydrology); Water depth; Water resources; Watersheds; China; Tibetan Plateau; Yellow River

Against the backdrop of global warming and vegetation restoration, research on the evapotranspiration mechanism of the Yellow River basin has become a hot topic. The Budyko-Fu model is widely used to estimate basin-scale evapotranspiration, and its crucial parameter ω is used to characterize the und...