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)...

Full description

Saved in:
Bibliographic Details
Published in:Russian agricultural sciences Vol. 49; no. Suppl 2; pp. S233 - S238
Main Authors: Antonov, S. A., Peregudov, S. V.
Format: Journal Article
Language:English
Published: Moscow Pleiades Publishing 01.12.2023
Springer Nature B.V
Subjects:
Agriculture
Agriculture and Crop Production
Arid zones
Biomedical and Life Sciences
Erosion control
fractal dimensions
Fractal geometry
Fractals
Geometry
Life Sciences
Methods
morphometry
Plant Biochemistry
Precipitation
Pulsars
Relief models
Remote sensing
Russia
Satellites
Slopes
Software packages
Soil erosion
spatial data
topographic slope
Water analysis
Water erosion
Watercourses
GIS
erosion
GIS analysis
erosion dynamics
fractals
ISSN:1068-3674, 1934-8037
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ISSN:1068-3674
1934-8037
DOI:10.3103/S1068367423080037