NDLI: Modeling Soil Erosion in Chinese Loess Plateau using Cellular Automata

Content Provider	IEEE Xplore Digital Library
Author	Chang-Qing Ke
Copyright Year	2006
Description	Author affiliation: Dept. of Urban & Resource Sci., Nanjing Univ., Nanjing (Chang-Qing Ke)
Abstract	Chinese Loess Plateau has the most extensive soil erosion in the world, which results from the fragile geophysical environment and human activities. The soil erosion has shown more and more severe trends due to the increasing intensity of human disturbances. Soil erosion is a potential cellular automata (CA) application field, because it can be considered as a system evolving exclusively by means of local interactions. The developed CA model in this study involves a larger number of states in comparison to the previous models, including altitude, water depth, vegetation density, infiltration, erosion volume, sediment transport and deposition. The model was applied to a small catchment in Ansai county, Chinese Loess Plateau. Landsat ETM data was used to obtain the vegetation and land use information, DEM and altitude can be created and obtained from the digital topographical maps, respectively, soil types from soil map, and the other necessary data by means of field work. The results indicated that the soil erosion can be well modeled by CA. From the modeling process, the driving factors of soil erosion can be analyzed.
Starting Page	1063
Ending Page	1066
File Size	523066
Page Count	4
File Format	PDF
ISBN	0780395107
DOI	10.1109/IGARSS.2006.274
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-07-31
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Soil Humans Satellites Vegetation mapping Remote sensing Sediments Environmental factors Degradation Government Acceleration
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Large-Scale Detection of the Tableland Areas and Erosion-Vulnerable Hotspots on the Chinese Loess Plateau

Quantitative assessment of regional soil erosion in chengdu plain of sichuan province

Scale effects of DEM on erosion potentials in the western Chinese Loess Plateau

Characterization of the state of soil degradation by erosion using the hue and coloration indices

Quickly soil erosion investigation and dynamic analysis in the loess plateau of China by using remote sensing and GIS

Assessing vegetation degradation in Loess Plateau by using potential vegetation index

Remote sensing of the environmental degradation in Tarim River basin, West China

Quantitative analyses on the relationship between water erosion rate and underlying surface factors at regional scale

Modeling of the potential vegetation index of steppe in the western part of the Chinese Loess Plateau

Modeling Soil Erosion in Chinese Loess Plateau using Cellular Automata

Similar Documents

Large-Scale Detection of the Tableland Areas and Erosion-Vulnerable Hotspots on the Chinese Loess Plateau

Quantitative assessment of regional soil erosion in chengdu plain of sichuan province

Scale effects of DEM on erosion potentials in the western Chinese Loess Plateau

Characterization of the state of soil degradation by erosion using the hue and coloration indices

Quickly soil erosion investigation and dynamic analysis in the loess plateau of China by using remote sensing and GIS

Assessing vegetation degradation in Loess Plateau by using potential vegetation index

Remote sensing of the environmental degradation in Tarim River basin, West China

Quantitative analyses on the relationship between water erosion rate and underlying surface factors at regional scale

Modeling of the potential vegetation index of steppe in the western part of the Chinese Loess Plateau

Modeling Soil Erosion in Chinese Loess Plateau using Cellular Automata