Data for: AI-based Identification of Low-Frequency Debris Flow Catchments in the Bailong River Basin, China

Published: 28 January 2020| Version 1 | DOI: 10.17632/rmgk2wdffw.1
Contributors:
Yan Zhao,
Xingmin Meng

Description

Data for: AI-based Identification of Low-Frequency Debris Flow Catchments in the Bailong River Basin, China. Data include: 590 catchments with debris flow frequency; 1985 catchments in the Bailong River Basin, China; Parameters related to geomorphological conditions, such as Catchment area (CA), channel length (CL) , catchment perimeter (CP), average slope (AS), catchment relief (CR), Relief ratio (RR), drainage density (DD), cut density (CD), circularity ratio (CR2) , Hypsometric Integral (HI), and Melton Ratio (MR). Parameters related to material conditions, such as the formation lithology index (FLI), land use index (LUI), landslide density index (LDI), and vegetation coverage index (VCI).

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Debris Flows

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