Water Stress Regime of Irrigated Crops Based on Remote Sensing and Ground-Based Data
In the past few decades, combinations of remote sensing technologies with ground-based methods have become available for use at the level of irrigated fields. These approaches allow an evaluation of crop water stress dynamics and irrigation water use efficiency. In this study, remotely sensed and gr...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-05-01
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| Series: | Agronomy |
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| Online Access: | https://www.mdpi.com/2073-4395/11/6/1117 |
| _version_ | 1797531975715651584 |
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| author | Anatoly Mikhailovich Zeyliger Olga Sergeevna Ermolaeva |
| author_facet | Anatoly Mikhailovich Zeyliger Olga Sergeevna Ermolaeva |
| author_sort | Anatoly Mikhailovich Zeyliger |
| collection | DOAJ |
| description | In the past few decades, combinations of remote sensing technologies with ground-based methods have become available for use at the level of irrigated fields. These approaches allow an evaluation of crop water stress dynamics and irrigation water use efficiency. In this study, remotely sensed and ground-based data were used to develop a method of crop water stress assessment and analysis. Input datasets of this method were based on the results of ground-based and satellite monitoring in 2012. Required datasets were collected for 19 irrigated alfalfa crops in the second year of growth at three study sites located in Saratovskoe Zavolzhie (Saratov Oblast, Russia). Collected datasets were applied to calculate the dynamics of daily crop water stress coefficients for all studied crops, thereby characterizing the efficiency of crop irrigation. Accordingly, data on the crop yield of three harvests were used. An analysis of the results revealed a linear relationship between the crop yield of three cuts and the average value of the water stress coefficient. Further application of this method may be directed toward analyzing the effectiveness of irrigation practices and the operational management of agricultural crop irrigation. |
| first_indexed | 2024-03-10T10:52:27Z |
| format | Article |
| id | doaj.art-322cc5eff4954fe9ab1a8559b9dabcfb |
| institution | Directory Open Access Journal |
| issn | 2073-4395 |
| language | English |
| last_indexed | 2024-03-10T10:52:27Z |
| publishDate | 2021-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Agronomy |
| spelling | doaj.art-322cc5eff4954fe9ab1a8559b9dabcfb2023-11-21T22:05:55ZengMDPI AGAgronomy2073-43952021-05-01116111710.3390/agronomy11061117Water Stress Regime of Irrigated Crops Based on Remote Sensing and Ground-Based DataAnatoly Mikhailovich Zeyliger0Olga Sergeevna Ermolaeva1Department of Applied Informatics, Institute of Economics and Management in Agribusiness, Russian State Agrarian University—Moscow Timiryazev Agricultural Academy, Timiryazevskaya Str., 49, 127550 Moscow, RussiaDepartment of Applied Informatics, Institute of Economics and Management in Agribusiness, Russian State Agrarian University—Moscow Timiryazev Agricultural Academy, Timiryazevskaya Str., 49, 127550 Moscow, RussiaIn the past few decades, combinations of remote sensing technologies with ground-based methods have become available for use at the level of irrigated fields. These approaches allow an evaluation of crop water stress dynamics and irrigation water use efficiency. In this study, remotely sensed and ground-based data were used to develop a method of crop water stress assessment and analysis. Input datasets of this method were based on the results of ground-based and satellite monitoring in 2012. Required datasets were collected for 19 irrigated alfalfa crops in the second year of growth at three study sites located in Saratovskoe Zavolzhie (Saratov Oblast, Russia). Collected datasets were applied to calculate the dynamics of daily crop water stress coefficients for all studied crops, thereby characterizing the efficiency of crop irrigation. Accordingly, data on the crop yield of three harvests were used. An analysis of the results revealed a linear relationship between the crop yield of three cuts and the average value of the water stress coefficient. Further application of this method may be directed toward analyzing the effectiveness of irrigation practices and the operational management of agricultural crop irrigation.https://www.mdpi.com/2073-4395/11/6/1117irrigation effectivenessalfalfa cropFAO-56 modelcrop water stressevapotranspirationalfalfa yield |
| spellingShingle | Anatoly Mikhailovich Zeyliger Olga Sergeevna Ermolaeva Water Stress Regime of Irrigated Crops Based on Remote Sensing and Ground-Based Data Agronomy irrigation effectiveness alfalfa crop FAO-56 model crop water stress evapotranspiration alfalfa yield |
| title | Water Stress Regime of Irrigated Crops Based on Remote Sensing and Ground-Based Data |
| title_full | Water Stress Regime of Irrigated Crops Based on Remote Sensing and Ground-Based Data |
| title_fullStr | Water Stress Regime of Irrigated Crops Based on Remote Sensing and Ground-Based Data |
| title_full_unstemmed | Water Stress Regime of Irrigated Crops Based on Remote Sensing and Ground-Based Data |
| title_short | Water Stress Regime of Irrigated Crops Based on Remote Sensing and Ground-Based Data |
| title_sort | water stress regime of irrigated crops based on remote sensing and ground based data |
| topic | irrigation effectiveness alfalfa crop FAO-56 model crop water stress evapotranspiration alfalfa yield |
| url | https://www.mdpi.com/2073-4395/11/6/1117 |
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