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Using NDWI for Diagnosing Moisture Availability in Agricultural Areas Surveyed with UAV Cover

Using NDWI for Diagnosing Moisture Availability in Agricultural Areas Surveyed with UAV

Open Access
|Feb 2026

Abstract

The study investigates the feasibility of monitoring water content in the topsoil. The study was conducted over five growing seasons from 2019 to 2024. The primary instrument used was an unmanned aerial vehicle (UAV) equipped with a multispectral camera recording reflectance in the near-infrared (NIR) region. Data was collected by flying the UAV at an altitude of 100 m above agricultural areas to capture individual images. These images were then processed to create an orthomosaic, from which the WDVI index (Weighted Difference Vegetation Index) was generated. For comparison, the normalised difference vegetation index (NDVI), which assesses the crop‘s vegetation stage, was also used. The index values were compared with meteorological data collected from the specific field. The study showed a strong correlation before crop coverage reached 50% (R = 0.96 and R2 = 0.94). With dense plant cover, the correlation was weaker (R = 0.87 and R2 = 0.77).

Language: English
Page range: 51 - 60
Published on: Feb 9, 2026
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2026 Asparuh I. Atanasov, published by Slovak University of Agriculture in Nitra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.