Application of the Spectral Mixture Model in Extracting Vegetation Information in Chengdu City

SUN Cun-ju; LIANG Nan

doi:10.16779/j.cnki.1003-5508.2014.05.018

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Volume 35 Issue 5

Nov. 2019

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Article Navigation > Journal of Sichuan Forestry Science and Technology > 2014 > 35(5): 84-87

SUN Cun-ju, LIANG Nan. Application of the Spectral Mixture Model in Extracting Vegetation Information in Chengdu City[J]. Journal of Sichuan Forestry Science and Technology, 2014, 35(5): 84-87. doi: 10.16779/j.cnki.1003-5508.2014.05.018

Citation:

SUN Cun-ju, LIANG Nan. Application of the Spectral Mixture Model in Extracting Vegetation Information in Chengdu City[J]. Journal of Sichuan Forestry Science and Technology, 2014, 35(5): 84-87. doi: 10.16779/j.cnki.1003-5508.2014.05.018

Application of the Spectral Mixture Model in Extracting Vegetation Information in Chengdu City

doi: 10.16779/j.cnki.1003-5508.2014.05.018

SUN Cun-ju¹,
LIANG Nan²

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Sichuan Foresy Inventory and Plan Institute, Chengdu 610081, China;Jiange Forestry Bureau, Gangyuan 628300, China

Received Date: 2014-06-19

Abstract

Landsat 8 images acquired on 20^th of April in 2013 were used to extract vegetation information through a spectral mixture model in this research. Taking Chengdu city as an example, primary image was transferred into 7 bands through minimum noise fraction analysis and the first three bands were used to calculate the pure pixels. Four members including low-albedo building, high-albedo building, vegetation, and soil were selected as the input variables of land cover class terminal. Finally the vegetation coverage images in the study area were estimated.
- Remote sensing;
- Vegetation;
- Spectral mixture analysis
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通讯作者: 陈斌, bchen63@163.com

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沈阳化工大学材料科学与工程学院沈阳 110142

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Application of the Spectral Mixture Model in Extracting Vegetation Information in Chengdu City

doi: 10.16779/j.cnki.1003-5508.2014.05.018

SUN Cun-ju¹,
LIANG Nan²

Sichuan Foresy Inventory and Plan Institute, Chengdu 610081, China;Jiange Forestry Bureau, Gangyuan 628300, China

Received Date: 2014-06-19

Key words:

Abstract: Landsat 8 images acquired on 20^th of April in 2013 were used to extract vegetation information through a spectral mixture model in this research. Taking Chengdu city as an example, primary image was transferred into 7 bands through minimum noise fraction analysis and the first three bands were used to calculate the pure pixels. Four members including low-albedo building, high-albedo building, vegetation, and soil were selected as the input variables of land cover class terminal. Finally the vegetation coverage images in the study area were estimated.