Urban forest research based on regression tree techniques and ASTER imagery

HUANG Chu-dong; SHAO Yun; LI Jing; LIU Jing-hui; CHEN Jie-qiong

Volume 25 Issue 2

Jun. 2018

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Article Navigation > Journal of Zhejiang A&F University > 2008 > 25(2): 240-244

HUANG Chu-dong, SHAO Yun, LI Jing, LIU Jing-hui, CHEN Jie-qiong. Urban forest research based on regression tree techniques and ASTER imagery[J]. Journal of Zhejiang A&F University, 2008, 25(2): 240-244.

Citation:

HUANG Chu-dong, SHAO Yun, LI Jing, LIU Jing-hui, CHEN Jie-qiong. Urban forest research based on regression tree techniques and ASTER imagery[J]. Journal of Zhejiang A&F University, 2008, 25(2): 240-244.

Urban forest research based on regression tree techniques and ASTER imagery

1.
Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China;
2.
Graduate University, Chinese Academy of Sciences, Beijing 100049, China;
3.
College of Foreign Studies, Zhejiang Chinese Medical University, Hangzhou 310053, Zhejiang, China;
4.
School of Information and Electronic Engineering, Zhejiang Science and Technology University, Hangzhou 310023, Zhejiang, China

Received Date: 2007-03-27
Rev Recd Date: 2007-10-31
Publish Date: 2008-04-10

Abstract

Urban forest was of great interest to a variety of scientific and urban planning applications. This paper presented the process and results of analysis using remote sensing imagery in this area. There were mainly two key steps in the analysis: the first was to analyze urban forest abundance utilizing regression tree techniques and advanced spaceborne thermal emission and reflection radiometer(ASTER) images; the second was to analyze the ecological benefits of urban forest using CITYgreen model. The analysis of urban forest abundance was accomplished implementing classification models,which were based on relationships between urban forest abundance and the spectrum on ASTER imagery,and were generated using regression tree techniques. Subsequently,the calculation of forest coverage,carbon storage and the amount of air pollutants removal about urban forest was carried out introducing CITYgreen model. According to the analysis,the total area in Tongzhou District was about 11.62 km2; the forest coverage was about 7.6%; the carbon storage and the amount of air pollutants removal amounted to 123 589 t and 267.1 t·a-1 respectively. At the end,the advantages and disadvantages,as well as some of the conceivable improvements of this strategy were discussed.
- forest management,
- urban forest,
- regression tree,
- Tongzhou District,
- urban forest abundance

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通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

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Urban forest research based on regression tree techniques and ASTER imagery

1. Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China;

2. Graduate University, Chinese Academy of Sciences, Beijing 100049, China;

3. College of Foreign Studies, Zhejiang Chinese Medical University, Hangzhou 310053, Zhejiang, China;

4. School of Information and Electronic Engineering, Zhejiang Science and Technology University, Hangzhou 310023, Zhejiang, China

Received Date: 2007-03-27

Rev Recd Date: 2007-10-31

Publish Date: 2008-04-10

Key words:

Abstract: Urban forest was of great interest to a variety of scientific and urban planning applications. This paper presented the process and results of analysis using remote sensing imagery in this area. There were mainly two key steps in the analysis: the first was to analyze urban forest abundance utilizing regression tree techniques and advanced spaceborne thermal emission and reflection radiometer(ASTER) images; the second was to analyze the ecological benefits of urban forest using CITYgreen model. The analysis of urban forest abundance was accomplished implementing classification models,which were based on relationships between urban forest abundance and the spectrum on ASTER imagery,and were generated using regression tree techniques. Subsequently,the calculation of forest coverage,carbon storage and the amount of air pollutants removal about urban forest was carried out introducing CITYgreen model. According to the analysis,the total area in Tongzhou District was about 11.62 km2; the forest coverage was about 7.6%; the carbon storage and the amount of air pollutants removal amounted to 123 589 t and 267.1 t·a-1 respectively. At the end,the advantages and disadvantages,as well as some of the conceivable improvements of this strategy were discussed.

Urban forest research based on regression tree techniques and ASTER imagery

Abstract

References

Proportional views

通讯作者: 陈斌, bchen63@163.com

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