The use of spectral indices for assessing soil erosion in natural and anthropogenic landscapes of Belarus
Keywords:
remote sensing, spectral indices, indicator, soil erosion, BelarusAbstract
The article discusses the results of studies on the possibility of using spectral indices to assess the erosion of the soil cover. For diagnosis multizonal images of the Sentinel-2 satellites were used (8 images covering the period from April to October 2018). Soil erosion was assessed visually at 65 key sites (route method). According to satellite imagery data, the average values of the spectral indices (NDVI, GNDVI, SWVI, GSI) for the selected areas were calculated. The relationship between the values of the spectral indices and the degree of soil erosion is estimated. It is established that the best indicator of erosion among all considered indices is NDVI. According to the erosion gradient, the average NDVI values are reduced by 4 times. In the landscapes of Belarus NDVI allows to indicate 3 categories of soil erosion.
References
Gusev A.P. Fitoindikatory inzhenerno-geologicheskikh protsessov na territorii goroda [Phytoindicators of engineering and geological processes in the city] // Prirodnyye resursy [Natural resources]. 2006. No 3. P. 33‒40.
Gusev A.P. Fitoindikatsiya erodirovannosti pochvennogo pokrova (na primere Belorusskogo Poles'ya) [Phytoindication of soil erosion (for example, Belarusian Polesie)] // Prirodnyye resursy [Natural resources]. 2007. No 3. P. 87‒94.
Zaslavsky M.N. Eroziya pochv [Soil erosion]. М.: Mysl', 1979. 245 p.
Terekhin E.A. Primeneniye dannykh distantsionnogo zondirovaniya dlya monitoringa posevov ozimykh kul'tur Belgorodskoy oblasti [The use of remote sensing data for monitoring winter crops of the Belgorod region] // Geografiya i prirodnyye resursy [Geography and natural resources]. 2015. No 3. P. 175‒181.
Shukilovich A.Yu., Fedotova, E.V., Maglinets Yu.A. Primeneniye sensora Modis dlya operativnogo monitoringa zemel' sel'skokhozyaystvennogo naznacheniya [Application of the Modis sensor for operational monitoring of agricultural land] // Journal of Siberian federal university. Engineering & Technologies. 2016. No 9 (7). P. 1035‒1044.
Box E.O., Holben B.N., Kalb V. Accuracy of the AVHRR Vegetation Index as a predictor of biomass, primary productivity and net CО2 flux // Vegetatio. 1989. Vol. 80. P. 71‒89.
Frampton W.J., Dash J., Watmough G., Milton E.J. Evaluating the capabilities of Sentinel-2 for quantitative estimation of biophysical variables in vegetation // Journal of Photogrammetry and Remote Sensing. 2013. Vol. 82. P. 83–92.
Yengoh G.T., Dent D., Olsson L., Tengberg A.E., Tucker C.J. The use of the Normalized Difference Vegetation Index (NDVI) to assess land degradation at multiple scales: a review of the current status, future trends, and practical considerations. Lund University centre for sustainability studies – LUCSUS, 2014. 80 p.
