Ground and space monitoring for the pedological analysis of soil erosion
DOI:
https://doi.org/10.52673/18570461.26.1-80.04Keywords:
spatial remote sensing, soil erosion, NDVIAbstract
A multifactorial mathematical model has been developed, which allows the preliminary evaluation of the humus horizon thickness based on the values of the Normalized Difference Vegetation Index (NDVI) and terrain slopes. Based on this model, the soil map of the agricultural lands of the company "Rustas" was refined, covering an area of 3,377.85 ha. As a result of improving the soil map on the lands of SRL "Rustas," the following distribution of soil areas was identified: ordinary chernozems – 2,777.33 ha (73.60%), of which slightly eroded – 121.59 ha (3.22%), moderately eroded – 14.05 ha (0.37%), strongly eroded – 8.16 ha (0.24%); carbonatic chernozems – 404.61 ha (10.72%), of which slightly eroded – 133.08 ha (3.53%), moderately eroded – 30.59 ha (0.81%), strongly eroded – 10.73 ha (0.32%); floodplain groundwater-wet soils – 80.75 ha (2.14%) and alluvial soils – 192.66 ha (5.11%). The integrated approach, combining remote sensing and field determination of the humus horizon thickness, can be applied for the preliminary evaluation of soil erosion intensity. The research results facilitate the work of pedologists in conducting soil studies.
References
1. Dolgov, Yu.A. Statisticheskoe modelirovanie: Uchebnik dlya vuzov. 2-e izd., dop. Tiraspol’: Poligrafist, 2011. 346 p.
2. Krupenikov, I.A.; Ursu, A.F.; Baltyanskiy, D.M.; Rodina, A.K. Agropochvennoe rayonirovanie Moldavskoy SSR. Kishinev: Kartya Moldovenyaske, 1965. 168 p.
3. Krupenikov I.A.; M.A. Lyubchenko; Makhlin T.B. and all. Statisticheskie parametry sostava i svoystv pochv Moldavii. Ch. 2. Kishinev: Shtiintsa, 1981. 253 p.
4. Muntyan A.N. Opyt primeneniya indeksa vegetatsii (NDVI) pri korrektirovke granits smytykh pochv v usloviyakh agrolandshaftov levoberezh’ya Dnestra, in: Problemy prirodopol’zovaniya i ekologicheskaya situatsiya v Evropeyskoy Rossii i sopredel’nykh stranakh. Materialele celei de a VI-a Conferințe Științifice Internaționale, 12–16 octombrie, 2015, Belgorod: Politerra, 373-378.
5. Polovina, S.; Radić, B.; Ristić, R.; Milčanović, V. Application of remote sensing for identifying soil erosion processes on a regional scale: An innovative approach to enhance the erosion potential model, in: Remote Sensing, 2024, nr. 16(13), 2390. https://doi.org/10.3390/rs16132390
6. Rodríguez-Rastrero, M.; Cicuéndez, V.; Recuero, L.; Litago, J.; Palacios-Orueta, A. NDVI from Sentinel-2 images: a soil erosion indicator in Mediterranean rainfed croplands, in: Plant Soil, 2025, 1-25. https://doi.org/10.1007/s11104-025-07930-5
7. Rozloga, Iu. Evaluarea stării ecologice a resurselor de sol cu utilizarea sistemului geoinformațional, în: Mediul și schimbarea climei: de la viziune la acțiune. Materialele Conferinței Științifice Internaționale, 5 iunie, 2015, Chișinău. Chișinău: Simbol-NP, 161-164.









