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Cover Management Soil Erosion Factor Using Multispectral Vegetation Indices: An Example of the River Sarayardere Watershed (Eastern Rhodopes, Bulgaria)

Treść / Zawartość
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Warianty tytułu
PL
Współczynnik erozji gleby przy użyciu wielospektralnych wskaźników roślinności: Przykład zlewni rzeki Sarayardere (wschodnie Rodopy, Bułgaria)
Języki publikacji
EN
Abstrakty
EN
Land cover/land use is one of the main factors influencing the development of soil erosion. It has been included in the calculation and modelling of erosion and sediment transport in many studies. In the current research NDVI (normalized difference vegetation index) and NDRE (normalized difference red edge index) are used for quantifying the cover management factor (C-factor). They are calculated on the base of Sentinel 2 multispectral images. Taking into account the vegetation phenology two time points were analyzed: end of May - June – active vegetation and September (beginning of October) – late vegetation. The changes in the values of the indices were considered for 2018, 2021 and 2022. The study area is the watershed of the river Sarayardere, located in the southern part of Bulgaria. This is a hilly to low-mountain area, prone to erosion due to rare vegetation, high slope gradients and a relatively long dry period followed by intensive rainfall. The calculated values of the C-factor are indicators for higher susceptibility to erosion in September than it is in June. The spatial distribution of the C-factor shows different patterns. The results, received on the base of the image of September 2021, show increasing the areas with C-factor < 0.1 and these ones > 0.5, in comparison with the results of September 2018. C-factor values calculated on the image of October 2022 indicate the highest susceptibility to erosion. Using NDRE instead NDVI results in slightly higher values of the C-factor. The advantage of the NDRE index is that it provides information on the content of chlorophyll in the vegetation during the end of the vegetation period and allows a more accurate assessment of the state of the separate plants, regarding the determination of diseased or damaged plants. In addition to the vegetation indices, an expert evaluation of the state of vegetation was done. The results of the current study show that the watershed of the river Sarayardere is in a relatively good condition regarding the development of erosion processes. The attention should be directed to the possible increase of erosion on deforested slopes and the availability of loose materials, in case of intense rainfall.
Rocznik
Strony
583--591
Opis fizyczny
Bibliogr. 21 poz., tab., zdj.
Twórcy
  • University of Mining and Geology “St. Ivan Rilski”, Department of Geology and Geoinformatics, Prof. Boyan Kamenov Str., Sofia 1700, Bulgaria
  • University of Mining and Geology “St. Ivan Rilski”, Department of Geology and Geoinformatics, Prof. Boyan Kamenov Str., Sofia 1700, Bulgaria
  • University of Forestry, Dendrology Department, Kliment Ohridski Blvd. 10, Sofia 1756, Bulgaria
Bibliografia
  • 1. P. Borrelli, P., D. A. Robinson, L. R. Fleischer, E. Lugato, C. Ballabio, C. Alewell, K. Meusburger, S. Modugno, B. Schütt,V. Ferro, V. Bagarello, K. V. Oost, L. Montanarella, P. Panagos, “An assessment of the global impact of 21st century land use change on soil erosion”, Nat. Commun. ISSN 2041-1723, 8 (1), 2013 (2017), DOI: 10.1038/s41467-017-02142-7
  • 2. R. Lal, “Accelerated Soil erosion as a source of atmospheric CO2” Soil & Tillage Research, 188, 35–40 (2019) https://doi.org/10.1016/j.still.2018.02.001
  • 3. D. Zakov, Protection against erosion and torrents (Ruta HB, 2016), In Bulgarian
  • 4. W. H. Wischmeier and D. D. Smith, Predicting Rainfall Erosion Losses—A Guide to Conservation Planning, U.S. Department of Agriculture, Agriculture Handbook (Washington, DC, USA, 1978) vol. 537, p. 67.
  • 5. J. M. Van der Knijff, R. J. A. Jones and L. Montanarella, Soil erosion risk assessment in Europe. European Soil Buro (Joint Research Center of the European Commission EUR 19044 EN, 2000) p.34.
  • 6. A. M. De Asis and K. Omasa, “Estimation of vegetation parameter for modeling soil erosion using linear spectral mixture analysis of Landsat ETM data”, ISPRS Journal of Photogrammetry and Remote Sensing, v.62, 309‑324 (2007), DOI: 10.1016/j.isprsjprs.2007.05.013
  • 7. V.L. Durigon, D.F. Carvalho, M.A.H. Antunes, P.T.S. Oliveira and M.M. Fernandes, “NDVI time series for monitoring RUSLE cover management factor in a tropical watershed”, International Journal of Remote Sensing, 35:2, 441-453 (2014), http://dx.doi.org/10.1080/01431161.2013.871081
  • 8. P. Borrelli, M. Märker, P. Panagos and B. Schütt, “Modeling soil erosion and river sediment yield for an intermountain drainage basin of the Central Apennines, Italy”, Catena, 114, 45–58 (2014), https://doi.org/10.1016/j.catena.2013.10.007
  • 9. M. Gianinetto, M. Aiello, R. Vezzoli, F. R. Nodari, F. Polinelli, F. Frassy, M. C. Rulli, G. Ravazzani, D. Bocchiola, A. Soncini, D. D. Chiarelli, C. Passera and C. Corbari, "Satellite-based cover management factor assessment for soil water erosion in the Alps," Proc. SPIE 10783, Remote Sensing for Agriculture, Ecosystems, and Hydrology XX, 107830T (2018), https://doi.org/10.1117/12.2325536
  • 10. V. Pechanec, A. Mráz, A. Benc, and P. Cudlín, “Analysis of spatiotemporal variability of C-factor derived from remote sensing data” J. Appl. Remote Sens. 12 (1), 016022 (2018), https://doi.org/10.1117/1.JRS.12.016022
  • 11. D. A. Ayalew, D. Deumlich, B. Šarapatka and D. Doktor, “Quantifying the sensitivity of NDVI-based C factor estimation and potential soil erosion prediction using Spaceborne Earth Observation Data” Remote Sens. 12, 1136 (2020), https://doi.org/10.3390/rs12071136
  • 12. V. Gospodinova, R. Yordanova and A. Kandilarov, “Vegetation indices as a means of monitoring of objects in the region of open mines” Journal of Mining and Geological Sciences, Vol. 62, (2) 34-40 (2019).
  • 13. I. Ontel, A. Irimescu, G. Boldeanu, D. Mihailescu, C-V. Angearu, A. Nertan, V. Craciunescu, and S. Negreanu, “Assessment of soil moisture anomaly sensitivity to detect drought spatio-temporal variability in Romania”, Sensors, 21, 8371 (2021), https://doi.org/10.3390/s21248371
  • 14. M. S. Thilakarathna and M. N. Raizada, “Challenges in using precision agriculture to optimize symbiotic nitrogen fixation in legumes: Progress, limitations, and future improvements needed in-diagnostic testing”, Agronomy 8 (5), 78 (2018), http://dx.doi.org/10.3390/agronomy8050078
  • 15. C. Davidson, V. Jaganathan, A. N. Sivakumar, J. M. Prince Czarnecki and G. Chowdhary, “NDVI/NDRE prediction from standard RGB aerial imagery using deep learning”, Computers and Electronics in Agriculture, vol. 203, 107396, ISSN 0168-1699 (2022), https://doi.org/10.1016/j.compag.2022.107396
  • 16. S. Sarov, B. Yordanov, V. Valkov, S. Georgiev, D. Kamburov, E. Raeva, V. Grozdev, E. Balkanska, L. Moskovska and G. Dobrev, Geological map of the Republic of Bulgaria, 1:50000, К-35-87-V (Zlatograd) and K-35-99-A (Drangovo), Ministry of Environment and Water, Bulgarian National Geological Survey (2007), In Bulgarian
  • 17. S. Sarov, B. Yordanov, V. Valkov, S. Georgiev, I. Kalinova, D. Kamburov, E. Raeva, E. Voinova, M. Ovcharova, B. Kuncheva, V. Grozdev, E. Balkanska, L. Moskovska and G. Dobrev, Geological map of the Republic of Bulgaria, 1:50000, К-35-87-G (Dzhebel) and K-35-99-B (Kirkovo), Ministry of Environment and Water, Bulgarian National Geological Survey (2007), In Bulgarian
  • 18. I. Bondev, The vegetation of Bulgaria. 1:600000 scale map with explanatory text (St. Kliment Ohridski University Press, Sofia, 1991), p. 182, In Bulgarian
  • 19. D. Pavlov, Phytocenology (University of Forestry Publishing House, Sofia, 2006), p.251, In Bulgarian 20. Copernicus Sentinel data (2017, 2021, 2022). Retrieved from Mundi platform, Copernicus Data and Information Access Services (accessed 12.02.2023; 06.03.2023)
  • 21. P. Panagos, P. Borrelli, K. Meusburger, C. Alewell, E. Lugato, and L. Montanarella, “Estimating the soil erosion cover-management factor at the European scale”, Land Use Policy, Vol. 48, 38-50 (2015), https://doi.org/10.1016/j.landusepol.2015.05.021.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki i promocja sportu (2025).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-4b05fce6-8881-4cc2-80cf-b6c4ddf48936
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