MATLAB functions for extracting hypsometry, stream-length gradient index, steepness index, chi gradient of channel and swath profiles from digital elevation model (DEM) and other spatial data for landscape characterisation

被引:37
作者
Jaiswara, Nilesh K. [1 ]
Kotluri, Sravan Kumar [2 ]
Pandey, Prabha [1 ,2 ]
Pandey, Anand K. [1 ,2 ]
机构
[1] Acad Sci & Innovat Res, Natl Geophys Res Inst, CSIR, Hyderabad 500007, India
[2] Natl Geophys Res Inst, CSIR, Hyderabad 500007, India
来源
APPLIED COMPUTING AND GEOSCIENCES | 2020年 / 7卷 / 07期
关键词
Landscape; Hypsometry; Stream length gradient index; Normalized steepness index; Chi(?) gradient; Swath profile; GEOMORPHIC EXPRESSION; DRAINAGE EVOLUTION; ACTIVE TECTONICS; SURFACE; UPLIFT; EXHUMATION; FOOTHILLS; CURVE; SPAIN; ARC;
D O I
10.1016/j.acags.2020.100033
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The landscape, developed by the interaction of geological processes, is represented by Digital Elevation Models (DEMs) of various spatial resolutions. These DEMs can be variously analysed for the spatial and linear morpho-metric indices for landscape characterisation. We have developed MATLAB functions for extracting Hypsometric integral (Hi), Stream Length-gradient (SL) index, Normalized steepness index (ksn), Chi (chi) gradient index and Swath profile with maximum, minimum and mean elevation profiles from DEM. These functions are tested on SRTM DEM (30 m, 90 m spatial resolution) and ASTER GDEM (30 m spatial resolution) from three different catchments with varying tectono-geomorphic setup. The swath profile of the TRMM precipitation data is also prepared to demonstrate the application of present functions on different raster dataset and their robustness for multi-parametric correlations. The user-friendly MATLAB functions provide automation and flexibility to extract the morphometric indices cited above from DEM and other raster data with user defined variables for different tectonic-geomorphology and environmental studies.
引用
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页数:11
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