DocumentCode
2463220
Title
Modeling of the potential vegetation index of steppe in the western part of the Chinese Loess Plateau
Author
Qi, Pengcheng ; Cui, Yan
Author_Institution
Sch. of Environ. Sci. & Tourism, Nanyang Normal Univ., Nanyang, China
fYear
2011
fDate
24-26 June 2011
Firstpage
5088
Lastpage
5091
Abstract
The Chinese Loess Plateau has experienced drastic human-induced land cover change in the last century. The Chinese government has planned a long-term project to restore the ecology and thus the environment. This effort requires the information of the ecological potential. This study presented a complete procedure for spatially modeling the potential vegetation index in arid Loess Plateau region. Spatially distributed wetness index was used to depict the environmental condition at each pixel. Enhanced Vegetation Index (EVI) of current steppe was obtained from Moderate Resolution Imaging Spectroradiometer (MODIS) data. A statistical relationship between the wetness index and the MODIS EVI were established. Based on the statistical relationship, potential EVI was estimated at each pixel. The results show that: (1) the potential EVI ranges from 0.15 to 0.25, (2) actual EVI of irriguous farmlands is obviously greater than the potential EVI of them, and (3) actual EVI of urban area is lower than the potential EVI of them. We believe that the modeled result can effectively facilitate the vegetation restoration planning for this area. In addition, the result may function as a base against which to estimate the historic changes in land cover and land use.
Keywords
geophysical image processing; statistical analysis; vegetation; vegetation mapping; Chinese Loess Plateau; Moderate Resolution Imaging Spectroradiometer; ecological potential; enhanced vegetation index; farmlands; land cover change; potential vegetation index; spatially distributed wetness index; statistical relationship; steppe; vegetation restoration planning; Earth; Indexes; MODIS; Pixel; Remote sensing; Vegetation; Vegetation mapping; evaporation; potential vegetation index; the Loess Plateau; wetness index;
fLanguage
English
Publisher
ieee
Conference_Titel
Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-9172-8
Type
conf
DOI
10.1109/RSETE.2011.5965458
Filename
5965458
Link To Document