Articles | Volume 15, issue 21
https://doi.org/10.5194/acp-15-12567-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-15-12567-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
11 Nov 2015
Research article |
| 11 Nov 2015
Annual evapotranspiration retrieved from satellite vegetation indices for the eastern Mediterranean at 250 m spatial resolution
Department of Geography and Environment, Bar Ilan University, Ramat-Gan, Israel
A. Givati
Israel Hydrological Service, Water Authority, Jerusalem, Israel
I. M. Lensky
Department of Geography and Environment, Bar Ilan University, Ramat-Gan, Israel
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- Using Landsat satellites to assess the impact of check dams built across erosive gullies on vegetation rehabilitation D. Helman & A. Mussery 10.1016/j.scitotenv.2020.138873
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- Evaluation of ten machine learning methods for estimating terrestrial evapotranspiration from remote sensing C. Carter & S. Liang 10.1016/j.jag.2019.01.020
- An Evapotranspiration Evolution Model as a Function of Meteorological Variables: A CFD Model Approach V. Fernández-Pacheco et al. 10.3390/su14073800
- Eco-hydrology and geomorphology of the largest floods along the hyperarid Kuiseb River, Namibia T. Grodek et al. 10.1016/j.jhydrol.2019.124450
- Synoptic Circulation Impact on the Near‐Surface Temperature Difference Outweighs That of the Seasonal Signal in the Eastern Mediterranean I. Lensky et al. 10.1029/2017JD027973
- Environmental Drivers of Gross Primary Production and Evapotranspiration at a Robinia pseudoacacia L. Restoration Plantation N. Markos et al. 10.3390/f14050916
- Crop RS-Met: A biophysical evapotranspiration and root-zone soil water content model for crops based on proximal sensing and meteorological data D. Helman et al. 10.1016/j.agwat.2018.09.043
- Predicting Heliothis (Helicoverpa armigera ) pest population dynamics with an age-structured insect population model driven by satellite data M. Blum et al. 10.1016/j.ecolmodel.2017.12.019
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- Estimating evapotranspiration in semi-arid rangelands: connecting reference to actual evapotranspiration and the role of soil evaporation O. Gwate et al. 10.2989/10220119.2018.1505779
- An evapotranspiration model driven by remote sensing data for assessing groundwater resource in karst watershed C. Ollivier et al. 10.1016/j.scitotenv.2021.146706
- A thermal forecasting model for the overwintering generation of cotton bollworm by remote sensing in the southeast of Caspian Sea M. Jokar 10.5424/sjar/2022202-18439
- Relationships between climate, topography, water use and productivity in two key Mediterranean forest types with different water-use strategies D. Helman et al. 10.1016/j.agrformet.2016.08.018
- Comprehensive evaluation of empirical algorithms for estimating land surface evapotranspiration C. Carter & S. Liang 10.1016/j.agrformet.2018.03.027
- Using Time Series of High-Resolution Planet Satellite Images to Monitor Grapevine Stem Water Potential in Commercial Vineyards D. Helman et al. 10.3390/rs10101615
- Drought impact in the Bolivian Altiplano agriculture associated with the El Niño–Southern Oscillation using satellite imagery data C. Canedo-Rosso et al. 10.5194/nhess-21-995-2021
- A framework for estimating actual evapotranspiration through spatial heterogeneity-based machine learning approaches Y. Zhang et al. 10.1016/j.agwat.2023.108499
- On the Use of Unmanned Aerial Systems for Environmental Monitoring S. Manfreda et al. 10.3390/rs10040641
2 citations as recorded by crossref.
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Short summary
We present an empirical method to retrieve actual evapotranspiration (ET) at a spatial resolution of 250m for the eastern Mediterranean based on observed relationships between satellite vegetation indices and eddy covariance ET. Our model was successfully evaluated against two physically based models and calculated ET from water catchment balances along rainfall gradient. In the absence of high-resolution models, our model is expected to contribute to the ecohydrological study of this region.
We present an empirical method to retrieve actual evapotranspiration (ET) at a spatial...
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