Advancing remote sensing and machine learning-driven frameworks for groundwater withdrawal estimation in Arizona: Linking land subsidence to groundwater withdrawals. [PDF]
Hydrol Process, 2022 Majumdar S +3 more
europepmc +1 more source
Remote Sensing, 2014 Evapotranspiration (ET) is a vital component in land-atmosphere interactions. In drylands, over 90% of annual rainfall evaporates. The Nile Basin in Africa is about 42% dryland in a region experiencing rapid population growth and development.
Henok Alemu +3 more
doaj +1 more source
A hydrological simulation dataset of the Upper Colorado River Basin from 1983 to 2019. [PDF]
Sci Data, 2022 Tran H +5 more
europepmc +1 more source
The influence of variations in actual evapotranspiration on drought in China's Southeast River basin. [PDF]
Sci Rep, 2023 Hong S +7 more
europepmc +1 more source
CA-discharge: Geo-Located Discharge Time Series for Mountainous Rivers in Central Asia. [PDF]
Sci Data, 2023 Marti B +6 more
europepmc +1 more source
Calibração do modelo SMAP diário utilizando dados de sensoriamento remoto para a bacia do posto fluviométrico de Iguatu [PDF]
, 2018 PEREIRA, Walter Jhameson Xavier. Calibração do modelo SMAP diário utilizando dados de sensoriamento remoto para a bacia do posto fluviométrico de Iguatu. 2018. 46 f.
Pereira, Walter Jhameson Xavier
core
Evaluating actual evapotranspiration in lower Copiapó basin using optical satellites [PDF]
, 2020 El adecuado monitoreo de la evapotranspiración (ET) en zonas áridas y semi-áridas es clave para la toma de decisiones relacionadas al uso eficiente del recurso hídrico.
Pichuante Aravena, Eduardo Andrés
core
Evapotranspiration estimation using Surface Energy Balance Model and medium resolution satellite data: An operational approach for continuous monitoring. [PDF]
Sci Rep, 2023 Pareeth S, Karimi P.
europepmc +1 more source
Evapotranspiration in the Nile Basin: Identifying Dynamics, Trends, and Drivers 2002-2011 [PDF]
, 2015 Analysis of the relationship between evapotranspiration (ET) and its natural and anthropogenic drivers is critical in water-limited basins such as the Nile.
Alemu, H. +4 more
core +1 more source
High-resolution crop yield and water productivity dataset generated using random forest and remote sensing. [PDF]
Sci Data, 2022 Cheng M +9 more
europepmc +1 more source