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ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

  

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2025, Vol. 22, No. 2, pp. 99-119

Segmentation of daily total evaporation flow of irrigated soybean crop using the METRIC model and Landsat-8 data

A.M. Zeyliger 1, 2 , A.V. Dobrokhotov 3 , O.S. Ermolaeva 4 , Ya.S. Kotov 5, 4 
1 Water Problems Institute RAS, Moscow, Russia
2 Saratov State University of Genetics, Biotechnology and Engineering named after N.I. Vavilov,, Saratov, Russia
3 Agrophysical Research Institute, Saint Petersburg, Россия
4 Russian State Agrarian University — Moscow Timiryazev Agricultural Academy, Moscow, Russia
5 Moscow Institute of Physics and Technology, Dolgoprudny, Moscow Region, Russia
Accepted: 10.02.2025
DOI: 10.21046/2070-7401-2025-22-2-99-119
The methods for segmenting irrigated agroecosystems into management zones using remote sensing data form the basis for translating research findings into the practice of precision irrigated agriculture. One of the parameters used for segmentation is the total evaporation flow, which is closely related to the availability of moisture reserves in the root zone of the soil cover for agricultural plants. This paper presents the results of analyzing the segmentation of daily total evaporation flows from an irrigated soybean crop during the 2021 growing season across three types of management zones of the Kaskad circular pivot irrigation machine (UNPO Povolzh’e of Vavilov University, Engels District, Saratov Region). For this purpose, a three-dimensional geodataset was utilized, including nine temporal layers of actual daily total evaporation flow (ET24) calculated using the METRIC model with data from nine cloud-free satellite images from Landsat-8, as well as ground-based weather monitoring data. In the initial phase of spatial analysis of the ET24 layers, methods employed included: 1) interpolation with inverse distance weighting, 2) clustering using the local Moran’s I index, and 3) visualization of normalized values with graduated symbols. Based on the comparison of geospatial patterns identified on the calculated ET24 maps with the irrigation regime, hypotheses were formulated regarding their anthropogenic origin. The corresponding testing of ET24 was conducted for three types of management zones of Kaskad: 1) sectoral, 2) ring-shaped, and 3) circular segments. The necessary layer marking for the geodataset was implemented using shapefiles derived from the geometric characteristics of this pivot irrigation machine. Statistical characteristics of central tendency and dispersion measures were calculated for the marked subsets of ET24. The analysis of these results revealed spatial and temporal relationships both among layers and within individual zones. It was found that there was a consistent decrease in median values of segmented ET24 flow from the center of rotation of the pivot irrigation machine towards the periphery of the circular contour formed by the irrigated soybean crop. This trend was attributed to a reduction in irrigation norms from the center to the periphery of the pressure front of the pivot irrigation machine, whose sprinklers were not equipped with pressure regulators. Thus, the research findings obtained through the developed ET24 flow segmentation method confirmed the hypothesis regarding the anthropogenic origin of identified geospatial patterns and established a connection between statistical characteristics of zonal distribution of this flow and technical specifications of Kaskad along with its implemented irrigation regime.
Keywords: precision irrigated agriculture, irrigated agroecosystem, circular pivot irrigation machine, management zones, total evaporation flow, anthropogenic patterns, METRIC model, Landsat-8 data, image segmentation, Kruskal–Wallis test
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