Articles | Volume 13, issue 5
https://doi.org/10.5194/hess-13-617-2009
© Author(s) 2009. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-13-617-2009
© Author(s) 2009. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Use of satellite data to assess the impacts of irrigation withdrawals on Upper Klamath Lake, Oregon
Q. Tang
Dept. of Civil and Environment Engineering, University of Washington, Seattle, WA, USA
E. A. Rosenberg
Dept. of Civil and Environment Engineering, University of Washington, Seattle, WA, USA
D. P. Lettenmaier
Dept. of Civil and Environment Engineering, University of Washington, Seattle, WA, USA
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Cited
23 citations as recorded by crossref.
- Simulation of regional irrigation requirement with SWAT in different agro-climatic zones driven by observed climate and two reanalysis datasets B. Uniyal et al. 10.1016/j.scitotenv.2018.08.248
- Mapping daily evapotranspiration at Landsat spatial scales during the BEAREX’08 field campaign M. Anderson et al. 10.1016/j.advwatres.2012.06.005
- Simulated impacts of irrigation on evapotranspiration in a strongly exploited region: a case study of the Haihe River basin, China H. Lei et al. 10.1002/hyp.10402
- Large-Scale Water Productivity Assessments with MODIS Images in a Changing Semi-Arid Environment: A Brazilian Case Study A. De C. Teixeira et al. 10.3390/rs5115783
- Effect of irrigation water withdrawals on water and energy balance in the Mekong River Basin using an improved VIC land surface model with fewer calibration parameters K. Tatsumi & Y. Yamashiki 10.1016/j.agwat.2015.05.011
- Groundwater Withdrawals Under Drought: Reconciling GRACE and Land Surface Models in the United States High Plains Aquifer W. Nie et al. 10.1029/2017WR022178
- National framework for ranking lakes by potential for anthropogenic hydro-alteration C. Fergus et al. 10.1016/j.ecolind.2020.107241
- Dynamics of Terrestrial Water Storage Change from Satellite and Surface Observations and Modeling Q. Tang et al. 10.1175/2009JHM1152.1
- Modeling the Effects of Groundwater-Fed Irrigation on Terrestrial Hydrology over the Conterminous United States G. Leng et al. 10.1175/JHM-D-13-049.1
- Irrigation‐induced changes in potential evaporation: more attention is needed S. Han et al. 10.1002/hyp.10108
- Merging the MODIS and Landsat Terrestrial Latent Heat Flux Products Using the Multiresolution Tree Method J. Xu et al. 10.1109/TGRS.2018.2877807
- Extraction of Irrigation Signals by Using SMAP Soil Moisture Data L. Zhu & A. Zhu 10.3390/rs13112142
- Using satellite-based estimates of evapotranspiration and groundwater changes to determine anthropogenic water fluxes in land surface models R. Anderson et al. 10.5194/gmd-8-3021-2015
- Simulating hydrological response of a monsoon dominated reservoir catchment and command with heterogeneous cropping pattern using VIC model M. Maza et al. 10.1007/s12040-020-01468-z
- Assimilating GRACE Into a Land Surface Model in the Presence of an Irrigation‐Induced Groundwater Trend W. Nie et al. 10.1029/2019WR025363
- Crucial role of natural processes in detecting human influence on evapotranspiration by multisource data analysis M. Zhang & X. Yuan 10.1016/j.jhydrol.2019.124350
- Estimation of Irrigation Water Use by Using Irrigation Signals from SMAP Soil Moisture Data L. Zhu et al. 10.3390/agriculture13091709
- Detection of human‐induced evapotranspiration using GRACE satellite observations in the Haihe River basin of China Y. Pan et al. 10.1002/2016GL071287
- Evaluation of satellite-based evapotranspiration estimates in China L. Huang et al. 10.1117/1.JRS.11.026019
- Remote detection of human-induced evapotranspiration in a regional system experiencing increased anthropogenic demands and extreme climatic variability H. Chen et al. 10.1080/01431161.2018.1523590
- A simple Landsat–MODIS fusion approach for monitoring seasonal evapotranspiration at 30 m spatial resolution N. Bhattarai et al. 10.1080/01431161.2014.990645
- Quantifying the unauthorized lake water withdrawals and their impacts on the water budget of eutrophic lake Dianchi, China Y. Wu et al. 10.1016/j.jhydrol.2018.08.017
- Modeling the effects of irrigation on land surface fluxes and states over the conterminous United States: Sensitivity to input data and model parameters G. Leng et al. 10.1002/jgrd.50792
22 citations as recorded by crossref.
- Simulation of regional irrigation requirement with SWAT in different agro-climatic zones driven by observed climate and two reanalysis datasets B. Uniyal et al. 10.1016/j.scitotenv.2018.08.248
- Mapping daily evapotranspiration at Landsat spatial scales during the BEAREX’08 field campaign M. Anderson et al. 10.1016/j.advwatres.2012.06.005
- Simulated impacts of irrigation on evapotranspiration in a strongly exploited region: a case study of the Haihe River basin, China H. Lei et al. 10.1002/hyp.10402
- Large-Scale Water Productivity Assessments with MODIS Images in a Changing Semi-Arid Environment: A Brazilian Case Study A. De C. Teixeira et al. 10.3390/rs5115783
- Effect of irrigation water withdrawals on water and energy balance in the Mekong River Basin using an improved VIC land surface model with fewer calibration parameters K. Tatsumi & Y. Yamashiki 10.1016/j.agwat.2015.05.011
- Groundwater Withdrawals Under Drought: Reconciling GRACE and Land Surface Models in the United States High Plains Aquifer W. Nie et al. 10.1029/2017WR022178
- National framework for ranking lakes by potential for anthropogenic hydro-alteration C. Fergus et al. 10.1016/j.ecolind.2020.107241
- Dynamics of Terrestrial Water Storage Change from Satellite and Surface Observations and Modeling Q. Tang et al. 10.1175/2009JHM1152.1
- Modeling the Effects of Groundwater-Fed Irrigation on Terrestrial Hydrology over the Conterminous United States G. Leng et al. 10.1175/JHM-D-13-049.1
- Irrigation‐induced changes in potential evaporation: more attention is needed S. Han et al. 10.1002/hyp.10108
- Merging the MODIS and Landsat Terrestrial Latent Heat Flux Products Using the Multiresolution Tree Method J. Xu et al. 10.1109/TGRS.2018.2877807
- Extraction of Irrigation Signals by Using SMAP Soil Moisture Data L. Zhu & A. Zhu 10.3390/rs13112142
- Using satellite-based estimates of evapotranspiration and groundwater changes to determine anthropogenic water fluxes in land surface models R. Anderson et al. 10.5194/gmd-8-3021-2015
- Simulating hydrological response of a monsoon dominated reservoir catchment and command with heterogeneous cropping pattern using VIC model M. Maza et al. 10.1007/s12040-020-01468-z
- Assimilating GRACE Into a Land Surface Model in the Presence of an Irrigation‐Induced Groundwater Trend W. Nie et al. 10.1029/2019WR025363
- Crucial role of natural processes in detecting human influence on evapotranspiration by multisource data analysis M. Zhang & X. Yuan 10.1016/j.jhydrol.2019.124350
- Estimation of Irrigation Water Use by Using Irrigation Signals from SMAP Soil Moisture Data L. Zhu et al. 10.3390/agriculture13091709
- Detection of human‐induced evapotranspiration using GRACE satellite observations in the Haihe River basin of China Y. Pan et al. 10.1002/2016GL071287
- Evaluation of satellite-based evapotranspiration estimates in China L. Huang et al. 10.1117/1.JRS.11.026019
- Remote detection of human-induced evapotranspiration in a regional system experiencing increased anthropogenic demands and extreme climatic variability H. Chen et al. 10.1080/01431161.2018.1523590
- A simple Landsat–MODIS fusion approach for monitoring seasonal evapotranspiration at 30 m spatial resolution N. Bhattarai et al. 10.1080/01431161.2014.990645
- Quantifying the unauthorized lake water withdrawals and their impacts on the water budget of eutrophic lake Dianchi, China Y. Wu et al. 10.1016/j.jhydrol.2018.08.017
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