Assessment of Irrigation Efficiency by Coupling Remote Sensing and Ground-Based Data: Case Study of Sprinkler Irrigation of Alfalfa in the Saratovskoye Zavolgie Region of Russia
Nowadays, the leading role of data from sensors to monitor crop irrigation practices is indisputable. The combination of ground and space monitoring data and agrohydrological modeling made it possible to evaluate the effectiveness of crop irrigation. This paper presents some additions to recently pu...
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MDPI AG
2023-02-01
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| Online Access: | https://www.mdpi.com/1424-8220/23/5/2601 |
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| author | Anatoly Mikhailovich Zeyliger Olga Sergeevna Ermolaeva Viktor Vladimirovich Pchelkin |
| author_facet | Anatoly Mikhailovich Zeyliger Olga Sergeevna Ermolaeva Viktor Vladimirovich Pchelkin |
| author_sort | Anatoly Mikhailovich Zeyliger |
| collection | DOAJ |
| description | Nowadays, the leading role of data from sensors to monitor crop irrigation practices is indisputable. The combination of ground and space monitoring data and agrohydrological modeling made it possible to evaluate the effectiveness of crop irrigation. This paper presents some additions to recently published results of field study at the territory of the Privolzhskaya irrigation system located on the left bank of the Volga in the Russian Federation, during the growing season of 2012. Data were obtained for 19 crops of irrigated alfalfa during the second year of their growing period. Irrigation water applications to these crops was carried out by the center pivot sprinklers. The actual crop evapotranspiration and its components being derived with the SEBAL model from MODIS satellite images data. As a result, a time series of daily values of evapotranspiration and transpiration were obtained for the area occupied by each of these crops. To assess the effectiveness of irrigation of alfalfa crops, six indicators were used based on the use of data on yield, irrigation depth, actual evapotranspiration, transpiration and basal evaporation deficit. The series of indicators estimating irrigation effectiveness were analyzed and ranked. The obtained rank values were used to analyze the similarity and non-similarity of indicators of irrigation effectiveness of alfalfa crops. As a result of this analysis, the opportunity to assess irrigation effectiveness with the help of data from ground and space-based sensors was proved. |
| first_indexed | 2024-03-11T07:10:37Z |
| format | Article |
| id | doaj.art-976d2bf78bfc4f5290e60e448ef21f47 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-11T07:10:37Z |
| publishDate | 2023-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-976d2bf78bfc4f5290e60e448ef21f472023-11-17T08:37:04ZengMDPI AGSensors1424-82202023-02-01235260110.3390/s23052601Assessment of Irrigation Efficiency by Coupling Remote Sensing and Ground-Based Data: Case Study of Sprinkler Irrigation of Alfalfa in the Saratovskoye Zavolgie Region of RussiaAnatoly Mikhailovich Zeyliger0Olga Sergeevna Ermolaeva1Viktor Vladimirovich Pchelkin2Department 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, RussiaDepartment of Applied Informatics, Institute of Economics and Management in Agribusiness, Russian State Agrarian University—Moscow Timiryazev Agricultural Academy, Timiryazevskaya Str., 49, 127550 Moscow, RussiaNowadays, the leading role of data from sensors to monitor crop irrigation practices is indisputable. The combination of ground and space monitoring data and agrohydrological modeling made it possible to evaluate the effectiveness of crop irrigation. This paper presents some additions to recently published results of field study at the territory of the Privolzhskaya irrigation system located on the left bank of the Volga in the Russian Federation, during the growing season of 2012. Data were obtained for 19 crops of irrigated alfalfa during the second year of their growing period. Irrigation water applications to these crops was carried out by the center pivot sprinklers. The actual crop evapotranspiration and its components being derived with the SEBAL model from MODIS satellite images data. As a result, a time series of daily values of evapotranspiration and transpiration were obtained for the area occupied by each of these crops. To assess the effectiveness of irrigation of alfalfa crops, six indicators were used based on the use of data on yield, irrigation depth, actual evapotranspiration, transpiration and basal evaporation deficit. The series of indicators estimating irrigation effectiveness were analyzed and ranked. The obtained rank values were used to analyze the similarity and non-similarity of indicators of irrigation effectiveness of alfalfa crops. As a result of this analysis, the opportunity to assess irrigation effectiveness with the help of data from ground and space-based sensors was proved.https://www.mdpi.com/1424-8220/23/5/2601irrigationirrigation efficiencywater productivityirrigation water use efficiencyweather water demandalfalfa crop |
| spellingShingle | Anatoly Mikhailovich Zeyliger Olga Sergeevna Ermolaeva Viktor Vladimirovich Pchelkin Assessment of Irrigation Efficiency by Coupling Remote Sensing and Ground-Based Data: Case Study of Sprinkler Irrigation of Alfalfa in the Saratovskoye Zavolgie Region of Russia Sensors irrigation irrigation efficiency water productivity irrigation water use efficiency weather water demand alfalfa crop |
| title | Assessment of Irrigation Efficiency by Coupling Remote Sensing and Ground-Based Data: Case Study of Sprinkler Irrigation of Alfalfa in the Saratovskoye Zavolgie Region of Russia |
| title_full | Assessment of Irrigation Efficiency by Coupling Remote Sensing and Ground-Based Data: Case Study of Sprinkler Irrigation of Alfalfa in the Saratovskoye Zavolgie Region of Russia |
| title_fullStr | Assessment of Irrigation Efficiency by Coupling Remote Sensing and Ground-Based Data: Case Study of Sprinkler Irrigation of Alfalfa in the Saratovskoye Zavolgie Region of Russia |
| title_full_unstemmed | Assessment of Irrigation Efficiency by Coupling Remote Sensing and Ground-Based Data: Case Study of Sprinkler Irrigation of Alfalfa in the Saratovskoye Zavolgie Region of Russia |
| title_short | Assessment of Irrigation Efficiency by Coupling Remote Sensing and Ground-Based Data: Case Study of Sprinkler Irrigation of Alfalfa in the Saratovskoye Zavolgie Region of Russia |
| title_sort | assessment of irrigation efficiency by coupling remote sensing and ground based data case study of sprinkler irrigation of alfalfa in the saratovskoye zavolgie region of russia |
| topic | irrigation irrigation efficiency water productivity irrigation water use efficiency weather water demand alfalfa crop |
| url | https://www.mdpi.com/1424-8220/23/5/2601 |
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