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Abstract

Summary

This work presents the results of a study on the spatial variability of soil agrochemical characteristics, taking into account the topographical features of the study area. The main focus is on integrating remote sensing data, Sentinel-2 satellite imagery, and field agrochemical surveys to build a zonal agronomic analysis.

The study was conducted on a 117-hectare agricultural plot in the Ternopil region. The methodology included zonal soil sampling, creating a digital elevation model based on GPS tracking, interpolating agrochemical indicators, and analyzing the EVI vegetation index to assess vegetation condition.

Spatial data processing and result visualization were performed in the ArcGIS environment.

The study found a significant correlation between topographical parameters (such as elevation, slope steepness, and position on the slope) and soil pH distribution. A pattern was observed where acidity increased in higher areas and alkaline compounds accumulated in lower-lying areas. Isolated local anomalies confirmed the importance of topography as a factor in the redistribution of moisture and nutrients.

It was established that the combination of geo-information analysis and remote monitoring makes it possible to identify agronomically vulnerable areas which require a targeted application of ameliorants. The obtained results confirm the effectiveness of using GIS technologies in making informed decisions to optimize resource management in the agricultural sector.

EAGE Publications BV © 2025 The Authors © European Association of Geoscientists and Engineers
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2025-10-06
2026-01-14

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Technologies of Remote Sensing and GIS in the Task of Agronomic Field Zoning
Conference Proceedings 2025, 1 (2025); https://doi.org/10.3997/2214-4609.202552090
/content/papers/10.3997/2214-4609.202552090
/content/papers/10.3997/2214-4609.202552090
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