Water uptake rates over olive orchards using Sentinel-1 synthetic aperture radar data

Author:

El Hajj Marcel M.,Johansen Kasper,Almashharawi Samer K.,McCabe Matthew F.

Funder

King Abdullah University of Science and Technology

King Abdullah University of Science and Technology Water Desalination and Reuse Research Center

Publisher

Elsevier BV

Subject

Earth-Surface Processes,Soil Science,Water Science and Technology,Agronomy and Crop Science

Reference49 articles.

1. A large-scale dataset and deep learning model for detecting and counting olive trees in satellite imagery;Abozeid;Comput. Intell. Neurosci.,2022

2. Crop evapotranspiration: guidelines for computing crop water requirements;Allen,1998

3. Comparison between sap flow measurements and two prediction climate formulas to estimate transpiration in olive orchards (Olea europaea L. cv. Chemlali);Amani;Eur. Sci. J.,2013

4. Assimilation of SMAP disaggregated soil moisture and Landsat land surface temperature to improve FAO-56 estimates of ET in semi-arid regions;Amazirh;Agric. Water Manag.,2022

5. CubeSats enable high spatiotemporal retrievals of crop-water use for precision agriculture;Aragon;Remote Sens,2018

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