Remote Sensing Monitoring of Urban Vegetation Stress Based on Vegetation Abundance Analysis

Abstract

Abstract: This study is mainly based on mixed pixel decomposing to extract vegetation abundance. The Hyperion hyperspectral remotely sensed image was used for eastern part of Guangzhou City. The steps such as image preprocessing, feature extraction and SMACC mixed pixel decomposing were taken to obtain vegetation abundance images. Furthermore the PPI iteration was used to purify these images, and then 7 kinds of vegetation endmembers which present defferent health state extracted. On-site survey was conducted to check out the human activities around the vegetation stress area, combined with other discipline just as plant physiology and spectroscopy to analyze the plant reflectance spectral curve changes and explain the causes. The research provides accurate information for urban green space survey and management.

Key words: vegetation stress, feature extraction, mixed pixel decomposing, vegetation abundance

CLC Number:

TP79

PAN Zhuokun, WANG Fang, XIA Lihua, WANG Xiaoxuan, LIU Hanhu. Remote Sensing Monitoring of Urban Vegetation Stress Based on Vegetation Abundance Analysis[J]. FOREST RESOURCES WANAGEMENT, 2010, 0(6): 97-101.

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