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Journal of Applied Remote Sensing

Temporal analysis of urban forest in Beijing using Landsat imagery
Author(s): Chudong Huang; Yun Shao; Jinghui Liu; Jinsong Chen
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Paper Abstract

Urban forest is of great interest to a variety of scientific and urban planning applications. This paper presents a strategy for monitoring urban forest using Landsat TM/ETM+ (Thematic Mapper / Enhanced Thematic Mapper Plus) imagery time series and calculating its ecological benefits. And the strategy is applied to the temporal analysis of the zone inside the 4th Ring Road in Beijing. The analysis consists of two key steps in: the first is to extract urban forest from Landsat images; the second is to calculate the ecological benefits of urban forest. The extraction of urban forest from Landsat imagery is accomplished implementing classification models, which are based on empirical relationships between forest coverage and the spectrum on Landsat imagery, and are generated using regression tree techniques. Quickbird images and field investigations are applied to generate classification models and to assess their accuracies. Subsequently, the ecological benefits calculation about urban forest is carried out introducing CITYgreen model. This paper mainly concerns carbon storage and the function in air pollution reduction. In the following part, the results of the analysis are presented, as well as the figures that illustrate their variations. At the end, the advantages and disadvantages of this strategy are discussed.

Paper Details

Date Published: 1 September 2007
PDF: 12 pages
J. Appl. Rem. Sens. 1(1) 013534 doi: 10.1117/1.2794001
Published in: Journal of Applied Remote Sensing Volume 1, Issue 1
Show Author Affiliations
Chudong Huang, Chinese Academy of Sciences (China)
Yun Shao, Institute of Remote Sensing Applications (China)
Jinghui Liu, Institute of Remote Sensing Applications (China)
Jinsong Chen, Chinese Univ. of Hong Kong (Hong Kong China)

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