Analysis of Water Erosion Dynamics Based on the Fractal Dimension Index

The research was performed to develop a scientific and methodological approach to the analysis of the dynamics of water erosion based on GIS technologies and Earth remote sensing data, using the fractal dimension index. This approach was tested by the example of a local area (Budennovskii test plot)...

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Vydané v:Russian agricultural sciences Ročník 49; číslo Suppl 2; s. S233 - S238
Hlavní autori: Antonov, S. A., Peregudov, S. V.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Moscow Pleiades Publishing 01.12.2023
Springer Nature B.V
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ISSN:1068-3674, 1934-8037
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Shrnutí:The research was performed to develop a scientific and methodological approach to the analysis of the dynamics of water erosion based on GIS technologies and Earth remote sensing data, using the fractal dimension index. This approach was tested by the example of a local area (Budennovskii test plot) of ploughed slope lands located in Budennovsk district of Stavropol krai. The research was based on modern geoinformation technologies and Earth remote sensing data for 2007, 2008, 2010, and 2022, which were used to create a retrospective digital relief model of the study area. Freely available images from the ALOS PULSAR and Sentinel-1 satellites, were taken as data sources, which significantly expanded the range of their application. The topography of the area of the Budennovskii test plot is dominated by southern slopes (28%), the mean slope steepness is 2.3°, and watercourses of six orders are typical. The value of the fractal dimension index (geometric complexity of the figure) increases from 0.79 in 2007 to 0.86 in 2022, which indicates the enhancement of water erosion processes. Identification of areas with a rise in this index will allow us to effectively plan measurers for erosion control, paying most attention to areas with significant increases. The proposed scientific and methodological approach may be applied in any agrarian region of Russia taking into account soil-climatic and morphometric features. It enables quick and reliable assessment of the degradation processes over vast areas.
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ISSN:1068-3674
1934-8037
DOI:10.3103/S1068367423080037