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Proceedings Paper

Spectral characteristics of dominant natural grasslands within growth period in the region around Qinghai Lake
Author(s): Fengli Zhang; Qiu Yin; Dingbo Kuang; Fengxia Li; Bingrong Zhou
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Paper Abstract

Grassland is an important vegetation type in China and plays an important role in human subsistence and development. Remote sensing technology is an efficient means of grassland ecological monitoring, but at present we lack of systemic study on spectral characteristics of dominant grassland types in the west of China, which restricts the application research of grassland remote sensing. The key is in-depth and systemic study of ground spectrum of grasslands. So we collected ground spectrum of dominant natural grasslands every 10 days from May to October in 2003 using GER 1500 spectrometer in the region around Qinghai lake, an important pasturing area in the north of China. Using these data the paper systemically studies the change rule of green peak, red edge, and other feature parameters in relation to spectrum waveform, as well as that of commonly used vegetation index within grasslands' growth period. Then the paper elementarily analyzes the ability to classify grassland using spectrum data at different scale, and delivers corresponding methods of classification on the basis of feature extraction and feature transformation experiments.

Paper Details

Date Published: 10 January 2005
PDF: 12 pages
Proc. SPIE 5640, Infrared Components and Their Applications, (10 January 2005); doi: 10.1117/12.573834
Show Author Affiliations
Fengli Zhang, Shanghai Institute of Technical Physics, CAS (China)
Qiu Yin, Shanghai Institute of Technical Physics, CAS (China)
Dingbo Kuang, Shanghai Institute of Technical Physics, CAS (China)
Fengxia Li, Meteorological Research Institute of Qinghai Province (China)
Bingrong Zhou, Meteorological Research Institute of Qinghai Province (China)

Published in SPIE Proceedings Vol. 5640:
Infrared Components and Their Applications
Haimei Gong; Yi Cai; Jean-Pierre Chatard, Editor(s)

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