@inproceedings{60ebe4c8c953437cb5bb442ffce557a1,
title = "Assessing infield temporal and spatial variability of leaf water potential using satellite imagery and meteorological data",
abstract = "The goal of this study was to examine whether the combination of meteorological data along with satellite imagery can be used to represent the spatial and temporal changes in cotton leaf water potential (LWP). Daily plant measurements showed a decrease in LWP after each irrigation event and then a gradual increase until the next irrigation event. However, in most events, the lowest LWP was on the day after irrigation and sometimes even two days after. These changes generally correlated to seasonal meteorological changes but were not sensitive to the daily LWP changes. In contrast, spectral indices based on satellite imagery were able to map infield LWP variability and after calibration enabled the estimation of LWP with an RMSE of 0.26 MPa and R2 of 0.72, regardless of sensor type.",
keywords = "Crop water stress, Landsat, Leaf water potential, Precision irrigation, Sentinel-2",
author = "O. Beeri and R. Pelta and T. Shilo and J. Raz and S. Mey-Tal",
note = "Publisher Copyright: {\textcopyright} Wageningen Academic Publishers 2019; 12th European Conference on Precision Agriculture, ECPA 2019 ; Conference date: 08-07-2019 Through 11-07-2019",
year = "2019",
doi = "10.3920/978-90-8686-888-9_32",
language = "אנגלית",
series = "Precision Agriculture 2019 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019",
publisher = "Wageningen Academic Publishers",
pages = "263--270",
editor = "Stafford, {John V.}",
booktitle = "Precision Agriculture 2019 - Papers Presented at the 12th European Conference on Precision Agriculture, ECPA 2019",
address = "הולנד",
}