Simulation of loess gully evolution based on geographic cellular automata-Reference-Cited by-同舟云学术

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Simulation of loess gully evolution based on geographic cellular automata

Published:2021-11-27 Issue: Volume: Page:
ISSN:0197-9337
Container-title:Earth Surface Processes and Landforms
language:en
Short-container-title:Earth Surf. Process. Landforms

Author:

Luo Lanhua¹²³^ORCID,Ma Jin¹²³⁴,Li Fayuan¹²³,Jiao Haoyang¹²³,Strobl Josef⁵,Zhu A‐xing¹²³,Dai Ziyang¹²³,Liu Shuanglin¹²³

Affiliation:

1. Key Laboratory of Virtual Geographic Environment (Nanjing Normal University) Ministry of Education Nanjing China

2. School of Geography Nanjing Normal University Nanjing China

3. Jiangsu Centre for Collaborative Innovation in Geographical Information Resource Development and Application Nanjing China

4. Chongqing Survey Institute Chongqing China

5. Interfaculty Department of Geoinformatics University of Salzburg Salzburg Austria

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Earth and Planetary Sciences (miscellaneous),Earth-Surface Processes,Geography, Planning and Development

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/esp.5283

Reference98 articles.

1. Modelling dynamic spatial processes: Simulation of urban future scenarios through cellular automata;Barredo J.I.;Landscape and Urban Planning,2003

2. Slope and rainfall effects on the volume of sediment yield by gully erosion in the Souar lithologic formation (Tunisia);Bouchnak H.;Catena,2009

3. Processes and significance of rill development;Bryan R.B.;Catena Supplement (Giessen),1987

4. A cellular automata model for simulating the evolution of positive–negative terrains in a small loess watershed;Cao M.;International Journal of Geographical Information Science,2013

5. Application of the EGEM model to predict ephemeral gully erosion in Sicily, Italy;Capra A.;Catena,2005

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Towards accurate mapping of loess waterworn gully by integrating google earth imagery and DEM using deep learning;International Soil and Water Conservation Research;2024-03

2. An improved cellular automata model for soil erosion in coastal areas based on discrete physical variables;European Journal of Soil Science;2022-05

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