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Results of the Analysis of Water Stress Regimes for Irrigated Crops Based on Remote Sensing Data

2022; Springer International Publishing; Linguagem: Inglês

10.1007/978-3-030-72896-0_72

2522-8722

Anatoly Zeyliger, Olga Ermolaeva, D.V. Antonov, Fedor Serebrennukov, Alexey Kravchuk, S. V. Zatinatsky,

Agricultural Productivity and Crop Improvement

Results of the temporal analysis of the water stress regimes of the irrigated agricultural crops (alfalfa, corn, and soybean) are presented at the level of a typical agricultural agrocenosis with the use of remote sensing data of MODIS. To achieve this aim, remote sensing and ground data observed in 2012 in the fields of several different agricultural farms of the Saratov Zavolzhie (Marks Region, Saratov Oblast, Russia) have been used. Results of this study revealed good correlations between cumulated values of crop water stress with their bio-productivity.