NDLI: A new method of vegetation classification based on temporal distribution of vegetation indices

Content Provider	IEEE Xplore Digital Library
Author	Xiumin Zhang Zhuotong Nan Yu Sheng Lin Zhao Jichun Wu Guoying Zhou
Copyright Year	2011
Description	Author affiliation: Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, 810001, China (Guoying Zhou) \|\| Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou, 730000, China (Xiumin Zhang; Zhuotong Nan; Yu Sheng; Lin Zhao; Jichun Wu)
Abstract	Vegetation classification is the basis for various hydrological and ecological studies. Some vegetation classifications using NDVI data have been studied commonly, however, there are some limitations in classification of vegetation using the average NDVI value, especially, the study with spectrum characteristics of the NDVI is relatively rare. Based on this, this paper introduces a new vegetation classification method which combines the phase with the NDVI distribution on the basis of computing the probability. Firstly, the probability of each vegetation type in a period was calculated with two-dimensional random variable conditional probability. Then we synthesized the image at germination, maturity and senescence periods, and the probability was calculated according to the fact that various vegetation types may have different biometric information at different periods. At last, vegetation classification map was finished on the probability value. The Wenquan area over the Qinghai-Tibet plateau (QTP) was taken as an experimental area. The result showed that the overall accuracy and kappa coefficient was 70% and 0.60, respectively. So the vegetation classification method can classify and discriminate vegetation effectively.
Starting Page	13
Ending Page	16
File Size	364375
Page Count	4
File Format	PDF
ISBN	9781424491728
e-ISBN	9781424491711
DOI	10.1109/RSETE.2011.5964064
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	Accuracy Probability computation Vegetation mapping Vegetation Time domain analysis Probability distribution Remote sensing Pixel MODIS Spectral analysis
Content Type	Text
Resource Type	Article

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