from 01.01.2017 until now
UDC 631.559
UDC 528.8
It is noted that the assessment of crop losses is one of the main tasks of the economic science of crop production. Improving the accuracy of crop productivity prediction is an important tool in assessing profitability and risks of crop shortfall due to various predictors. The purpose of the present work was to provide a generalized economic assessment of the risk of crop shortfall due to the development of water erosion of soils. Yield was predicted from NDVI vegetation spectral index values from Sentinel-2 satellite data. Erosion intensity was quantified using the revised RUSLE universal soil loss equation. As a result of the studies, it was established that the maximum losses were obtained for the calculated case according to meteorological parameters for 5% probability of 60.52 and 89.59 thousand rubles/ha, respectively, for the conditions of 2024 and 2025.
yield, erosion, soil, risk, crop
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2. Monitoring and forecasting water erosion in response to climate change effects using the integration of the global RUSLE/SDR model and predictive models / Fatima, B., Rachid, H., Abdeldjalil, B., Abdessalam, O., Mohamed, B., Alfagham, A. T., & Tariq, A. // Applied Soil Ecology, 2025, vol. 206. doi:https://doi.org/10.1016/j.apsoil.2025.105910.
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13. Prognoz urozhaynosti v zernovyh edinicah s pomosch'yu geoinformacionnoy sistemy dlya ocenki effektivnosti realizacii proektov melioracii / M.S. Zver'kov, I.S. Mazurova // Moskovskiy ekonomicheskiy zhurnal. 2025. T. 10, № 12. S. 404-420. doi:https://doi.org/10.55186/2413046X_2025_10_12_295.
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15. RUSLE modeling and spatial approach in soil erosion-prone areas for erosion rate prediction and strengthening land use planning in the Battang River basin, Palopo City / Ali, M., Rasyid, A. R., Ihsan, I., Sastrawati, I., Nur, D. S. A., Asano, J., … Makkuaseng, A. M. A. // Progress in Disaster Science. 2026. Vol. 29. doi:https://doi.org/10.1016/j.pdisas.2025.100499.
16. Quantification of Soil–Water Erosion Using the RUSLE Method in the Mékrou Watershed (Middle Niger River) / Attoubounou, R.A.; Diawara, H.; Ludwig, R.; Adounkpe, J. // ISPRS Int. J. Geo-Inf. 2025, vol. 14, 28. doi:https://doi.org/10.3390/ijgi14010028.
