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Assesses NDVI effectiveness in monitoring hayfields, suggesting combined methods improve accuracy.
The article considers the issue of using NDVI to monitor the use of agricultural land as part of agricultural land – hayfields. For two test sites located in the Kaliningrad region at a mutual distance of 12 km, the Earth's remote sensing data for 2024, obtained using the MODIS spectroradiometer, was selected. Using Python and QGIS GIS, the masks of two land plots were drawn and data sets were generated that characterize the dynamics of NDVI in ranges with increments of 0.1. As auxiliary data, information on the use of land plots during the 2024 season was used – on the dates of technological operations for harvesting hay and green fodder. Tables for each of the two sections are formed and the dynamics of the index changes are considered. Based on the results of the work, conclusions were drawn about the insufficiency of using NDVI as the only indicator that can be used to determine hayfields based on remote sensing data. At the same time, using the index together with information on the assignment of the site to hayfields allows monitoring in the presence of a set of remote sensing data with a low percentage of cloud cover or in the case of developing a mechanism for correcting overlapping areas.
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Pavlova et al. (2025) studied this question.
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