HR: 1340h
AN: GC13A-0940    [Abstracts]
TI: Comparison of Topographic Effects between the Enhanced Vegetation Index (EVI) and Normalized Difference Vegetation Index (NDVI)
AU: * Matsushita, B
EM: mbunkei@sakura.cc.tsukuba.ac.jp
AF: Graduate School of Life and Environmental Sciences, University of Tsukuba, 1-1-1 Tennoudai, Tsukuba, Iba 305-8572, Japan
AU: Yang, W
EM: yangwei1982@ires.cn
AF: College of Resource Science and Technology, Beijing Normal University, No. 19, Xinjiekouwai Street, Beijing, 100875, China
AU: Chen, J
EM: chenjin@ires.cn
AF: College of Resource Science and Technology, Beijing Normal University, No. 19, Xinjiekouwai Street, Beijing, 100875, China
AU: Onda, Y
EM: onda@geoenv.tsukuba.ac.jp
AF: Graduate School of Life and Environmental Sciences, University of Tsukuba, 1-1-1 Tennoudai, Tsukuba, Iba 305-8572, Japan
AB: Vegetation indices play an important role in monitoring variations in vegetation. The Enhanced Vegetation Index (EVI) proposed by the MODIS Land Discipline Group and the Normalized Difference Vegetation Index (NDVI) are both global-based vegetation indices aimed at providing consistent spatial and temporal information regarding global vegetation. However, many environmental factors such as atmospheric conditions and soil background may produce errors in these indices. The topographic effect is another very important factor, especially when the indices are used in areas of rough terrain. In this paper, we analyzed differences in the topographic effect between the EVI and the NDVI based on a non-Lambertian model and using two airborne-based images with a spatial resolution of 1.5m acquired from a mountainous area covered by a homogeneous Japanese cypress plantation. The results indicate that the soil adjustment factor "L" in the EVI makes it more sensitive to topographic conditions than is the NDVI. Based on these results, we strongly recommend that the topographic effect be removed from the EVI—as well as from other vegetation indices that similarly include a term without a band ratio format (e.g., the PVI and SAVI)—when these indices are used in conjunction with a high spatial resolution image of an area of rough terrain, where the topographic effect on the vegetarian indices having only a band ratio format (e.g., the NDVI) can usually be ignored.
DE: 0910 Data processing
DE: 0933 Remote sensing
DE: 1640 Remote sensing (1855)
SC: Global Environmental Change [GC]
MN: 2007 Fall Meeting