Identification of topographic factors for gully erosion susceptibility and their spatial modelling using machine learning in the black soil region of Northeast China
Authors:
- Donghao HuangDHDonghao Huang
- Lin SuLSLin Su
- Haoming FanHFHaoming Fan
- Lili ZhouLZLili Zhou
- Yulu TianYTYulu Tian
Open Access
- 30 August 2022
- journal article
- research article
- Published by Elsevier in Ecological Indicators
- Vol. 143
Abstract
No abstract availableKeywords
Funding Information
- National Key Research and Development Program of China (2021YFD1500700)
- National Natural Science Foundation of China (42007050)
This publication has 73 references indexed in Scilit:
- A GIS-based approach for gully erosion susceptibility modelling: a test in Sicily, ItalyEnvironmental Earth Sciences, 2013
- Effects of Holocene climate and sea‐level changes on coastal gully evolution: insights from numerical modellingEarth Surface Processes and Landforms, 2009
- Topographic thresholds in gully development on the hillslopes of communal areas in Ngqushwa Local Municipality, Eastern Cape, South AfricaGeomorphology, 2009
- Geomorphic threshold conditions for gully erosion in Southwestern Iran (Boushehr-Samal watershed)Journal of Asian Earth Sciences, 2009
- Development of gullies and sediment production in the black soil region of northeastern ChinaGeomorphology, 2008
- A Caution Regarding Rules of Thumb for Variance Inflation FactorsQuality & Quantity, 2007
- Gully erosion and environmental change: importance and research needsCATENA, 2003
- Digital terrain modelling: A review of hydrological, geomorphological, and biological applicationsHydrological Processes, 1991
- Physical Basis of the Length‐slope Factor in the Universal Soil Loss EquationSoil Science Society of America Journal, 1986
- A Coefficient of Agreement for Nominal ScalesEducational and Psychological Measurement, 1960