Proceedings of the 2013 the International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE 2013)

The Research Method of the Vegetation Cover Change effecting on Runoff

Authors
Jianzhong Yin, Zhengwei He, Fenqin He
Corresponding Author
Jianzhong Yin
Available Online August 2013.
DOI
10.2991/rsete.2013.58How to use a DOI?
Keywords
Remote sensing (RS); Geographic information systems (GIS); Vegetation cover; Change; Runoff
Abstract

Researching the law of runoff has the important scientific and practical significance for the sustainable using and planning the water resources. Studying the relationship between changes of vegetation cover and runoff, it is important to regulate the water resources. Vegetation regulation of runoff is affected by vegetation type, age, spatial distribution of coverage. Application of remote sensing (RS) and geographic information system (GIS) analyzes the changes of vegetation cover in watershed, and using the gray relationship analysis researches the relevancy of vegetation change and the runoff, and discusses the laws and mechanisms of vegetation cover affecting the runoff.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2013 the International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE 2013)
Series
Advances in Intelligent Systems Research
Publication Date
August 2013
ISBN
10.2991/rsete.2013.58
ISSN
1951-6851
DOI
10.2991/rsete.2013.58How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Jianzhong Yin
AU  - Zhengwei He
AU  - Fenqin He
PY  - 2013/08
DA  - 2013/08
TI  - The Research Method of the Vegetation Cover Change effecting on Runoff
BT  - Proceedings of the 2013 the International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE 2013)
PB  - Atlantis Press
SP  - 235
EP  - 238
SN  - 1951-6851
UR  - https://doi.org/10.2991/rsete.2013.58
DO  - 10.2991/rsete.2013.58
ID  - Yin2013/08
ER  -