Peatland Extraction Based on ENVISAT ASAR, Landsat TM and DEM Data

LU Chunyan; WANG Zongming; JIA Mingming; ZHANG Jing; MAN Weidong; MAO Dehua

doi:10.13203/j.whugis20140669

Volume 42 Issue 2

Feb. 2017

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Geomatics and Information Science of Wuhan University > 2017 > 42(2): 185-192. > DOI: 10.13203/j.whugis20140669

LU Chunyan, WANG Zongming, JIA Mingming, ZHANG Jing, MAN Weidong, MAO Dehua. Peatland Extraction Based on ENVISAT ASAR, Landsat TM and DEM Data[J]. Geomatics and Information Science of Wuhan University, 2017, 42(2): 185-192. DOI: 10.13203/j.whugis20140669

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Peatland Extraction Based on ENVISAT ASAR, Landsat TM and DEM Data

1.
College of Computer and Information Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China
2.
Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China
3.
College of Earth Sciences, Jilin University, Changchun 130026, China
4.
University of Chinese Academy of Sciences, Beijing 100049, China

Funds:

The National Natural Science Foundation of China Nos.41671219, 41371403, 41401502

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Author Bio:
LU Chunyan, PhD, lecturer, specializes in remote sensing of environment and spatial information statistics. E-mail: suzi26@163.com
Corresponding author:
WANG Zongming, PhD, professor. E-mail:zongmingwang@iga.ac.cn
Received Date: February 25, 2015
Published Date: February 04, 2017

Graphical Abstract

Abstract

Abstract

Peatlands are one of the most important types of wetlands and significant to the balance of global change and ecosystems. On the basis of field investigation and backscatter coefficient comparison of different land cover types in different polarization radar images, ENVISAT ASAR, Landsat TM, and DEM data were taken as basic data for a classification method combining object-oriented and decision tree approaches that were to extract peatlands and adjacent land cover types in a typical peatland zone located in West Xiao-Xing'an Mountains. The overall classification accuracy was 93.54% with a Kappa coefficient of 0.92, which indicates that the proposed method used is effective for peatland extraction. Compared to previous work, there is some improvement in classification accuracy.
- ENVISAT ASAR,
- Landsat TM,
- DEM,
- peatland,
- object-oriented

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References (19)

References

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Peatland Extraction Based on ENVISAT ASAR, Landsat TM and DEM Data

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