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

Content Provider	IEEE Xplore Digital Library
Author	Pengcheng Qi Yan Cui
Copyright Year	2011
Description	Author affiliation: School of Environmental Science and Tourism, Nanyang Normal University, China (Pengcheng Qi) \|\| Library, Nanyang Normal University, China (Yan Cui)
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.
Starting Page	5088
Ending Page	5091
File Size	660915
Page Count	4
File Format	PDF
ISBN	9781424491728
e-ISBN	9781424491711
DOI	10.1109/RSETE.2011.5965458
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-06-24
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Earth The Loess Plateau Vegetation mapping Vegetation Wetness index Evaporation Indexes Potential vegetation index MODIS Remote sensing Pixel
Content Type	Text
Resource Type	Article

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