DocumentCode
3445604
Title
A study of gully erosion process in rolling hill region of Northeast China based on GIS
Author
Tianqi Li ; Shuwen Zhang
Author_Institution
Key Lab. of Geospatial Technol. for the Middle & Lower Yellow River Regions, Kaifeng, China
fYear
2013
fDate
20-22 June 2013
Firstpage
1
Lastpage
5
Abstract
Gully erosion of tillage land in northeast China cause mass land degradation and threaten the safety of grain production of China. The relationship between the spatial distribution of gullies and topographic factors, such as slope angle, aspect, slope form, SPI and TWI, as well as land use and lithology are discussed in the Keshan County of Heilongjiang province. The topographic factors are derived from Digital Elevation Model, and landuse as well as gully distribution data were interpreted from satellite images and field survey. Basis on mapped controlling factors, single factor analysis was taken to recognize high risk region of gully erosion. The result of overlay analysis showed that nearly 80% of gullies occurred in farmland and concave slope elements; high slope angle and SPI value are identified as the high gully initiation regions due to the enhancement of runoff convergence. The two patterns of gully erosion were identified via the overlay analysis of different substratum. Based on the analysis, two processes of gully erosion were identified.
Keywords
digital elevation models; erosion; geographic information systems; geophysical image processing; land use planning; remote sensing; Heilongjiang province; Keshan county; Northeast China; digital elevation model; grain production; gully distribution data; gully erosion process; land use; mass land degradation; rolling hill region; satellite images; spatial distribution; topographic factors; Rivers; Rocks; Satellites; Sediments; Soil; Surfaces; Water conservation; GIS; Gully Erosion; Northeast China; Remote Sensing;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoinformatics (GEOINFORMATICS), 2013 21st International Conference on
Conference_Location
Kaifeng
ISSN
2161-024X
Type
conf
DOI
10.1109/Geoinformatics.2013.6626089
Filename
6626089
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