Remote Sensing Identification of Rangeland Degradation Using Hyperion Hyperspectral Image in a Typical Area for Three-River Headwater Region, Qinghai, China

AN Ru; LU Caihong; WANG Huilin; JIANG Danping; SUN Mengqiu; Jonathan Arthur Quaye Ballard

doi:10.13203/j.whugis20150168

Volume 43 Issue 3

Mar. 2018

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Geomatics and Information Science of Wuhan University > 2018 > 43(3): 399-405. > DOI: 10.13203/j.whugis20150168

AN Ru, LU Caihong, WANG Huilin, JIANG Danping, SUN Mengqiu, Jonathan Arthur Quaye Ballard. Remote Sensing Identification of Rangeland Degradation Using Hyperion Hyperspectral Image in a Typical Area for Three-River Headwater Region, Qinghai, China[J]. Geomatics and Information Science of Wuhan University, 2018, 43(3): 399-405. DOI: 10.13203/j.whugis20150168

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Remote Sensing Identification of Rangeland Degradation Using Hyperion Hyperspectral Image in a Typical Area for Three-River Headwater Region, Qinghai, China

1.
School of Earth Sciences and Engineering, Hohai University, Nanjing 210098, China
2.
College of Geographic and Oceanographic Sciences, Nanjing University, Nanjing 210023, China

Funds:

The National Natural Science Foundation of China 41271361

the National Science & Technology Pillar Program During the Twelfth Five-Year Plan Period 2013BAC03B04

Six Talent Peaks Project in Jiangsu Province XXRJ-011

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Author Bio:
AN Ru, PhD, professor, specializes in ecological environment remote sensing monitoring, remote sensing image information extraction and pattern recognition and geographic information acquisition, visualization and system development. E-mail: anrunj@163.com
Corresponding author:
LU Caihong, master. E-mail: caih@qq.com
Received Date: December 04, 2015
Published Date: March 04, 2018

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Abstract

Abstract

Rangeland degradation at the Three-River Headwater Region(TRHR) has been a major concern to the public in recent years, especially toxic weeds. The application of hyperspectral remote sensing in detecting meadow composition and identifying degradation become a major tool for research. Using MESMA algorithm and Hyperion image combined with the measured hyperspectral data, information about edible grass, toxic weeds and bare land were extracted to classify the degree of rangeland degradation. The study area was divided into five levels of degradation, namely:no degradation, mild degradation, moderate degradation, severe degradation and extremely severe degradation. Compared with the measurement data samples on monitoring, the precision attained was 84.2%. This shows that hyperspectral remote sensing is effective in detecting rangeland degradation at TRHR.
- hyperspectral remote sensing,
- Hyperion,
- MESMA,
- the Three-River Headwater Region,
- rangeland degradation identification

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[1]	王堃.草地植被恢复与重建[M].北京:化学工业出版社, 2004 Wang Kun. Grassland Vegetation Restoration and Reconstruction[M]. Beijing:Chemical Industry Press, 2004
[2]	刘纪远, 徐新良, 邵全琴.近30年来青海三江源地区草地退化的时空特征[J].地理学报, 2008, 63(4):364-376 doi: 10.11821/xb200804001 Liu Jiyuan, Xu Xinliang, Shao Quanqin. The Spatial and Temporal Characteristics of Grassland Degradation in the Three-River Headwaters Region in Qinghai Province[J]. Acta Geographica Sinica, 2008, 63(4):364-376 doi: 10.11821/xb200804001
[3]	张镱锂, 刘林山, 摆万奇, 等.黄河源地区草地退化空间特征[J].地理学报, 2006, 61(1):3-14 doi: 10.11821/xb200601001 Zhang Yili, Liu Linshan, Bai Wanqi, et al. Grassland Degradation in the Source Region of the Yellow River[J]. Acta Geographica Sinica, 2006, 61(1):3-14 doi: 10.11821/xb200601001
[4]	陈全功, 梁天刚, 卫亚星.青海省达日县退化草地研究(Ⅱ):退化草地成因分析与评估[J].草业学报, 1998, 7(4):44-48 http://kns.cnki.net/KCMS/detail/detail.aspx?filename=cyxb804.007&dbname=CJFD&dbcode=CJFQ Chen Quangong, Liang Tiangang, Wei Yaxing. Degraded Grassland Research(Ⅱ):The Degradation of Grassland Cause Analysis and Evaluation in Dari County of Qinghai Province[J]. Acta Prataculturae Sinica, 1998, 7(4):44-48 http://kns.cnki.net/KCMS/detail/detail.aspx?filename=cyxb804.007&dbname=CJFD&dbcode=CJFQ
[5]	孙鸿烈, 郑度.青藏高原形成演化与发展[M].广州:广东科技出版社, 1998 Sun Honglie, Zheng Du. The Formation and Evolution of the Qinghai-Tibet Plateau[M]. Guangzhou:Guangdong Science and Technology Press, 1998
[6]	屈冉, 李双, 徐新良, 等.草地退化杂类草入侵遥感监测方法研究进展[J].地球信息科学学报, 2013, 15(5):761-767 http://kns.cnki.net/KCMS/detail/detail.aspx?filename=dqxx201305020&dbname=CJFD&dbcode=CJFQ Qu Ran, Li Shuang, Xu Xinliang, et al. Miscellaneous Grass Invasion Research Progress of Remote Sensing Monitoring Method for Rangeland Degradation[J]. Journal of Geo-information Science, 2013, 15(5):761-761 http://kns.cnki.net/KCMS/detail/detail.aspx?filename=dqxx201305020&dbname=CJFD&dbcode=CJFQ
[7]	江淼, 张显峰, 孙权, 等.不同分辨率影像反演植被覆盖度的参数确定与尺度效应分析[J].武汉大学学报·信息科学版, 2011, 36(3):311-315 http://ch.whu.edu.cn/CN/abstract/abstract476.shtml Jiang Miao, Zhang Xianfeng, Sun Quan, et al.Vegetation Coverage Retrieval Scale Effect Analysis Using Multi-sensor Data[J]. Geomatics and Information Science of Wuhan University, 2011, 36(3):311-315 http://ch.whu.edu.cn/CN/abstract/abstract476.shtml
[8]	Mansour K, Mutanga O, Everson T, et al. Discriminating Indicator Grass Species for Rangeland Degradation Assessment Using Hyperspectral Data Resampled to AISA Eagle Resolution[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2012, 70:56-65 doi: 10.1016/j.isprsjprs.2012.03.006
[9]	王焕炯, 范闻捷, 崔要奎, 等.草地退化的高光谱遥感监测方法[J].光谱学与光谱分析, 2010, 30(10):2734-2738 doi: 10.3964/j.issn.1000-0593(2010)10-2734-05 Wang Huanjiong, Fan Wenjie, Cui Yaokui, et al. Hyperspectral Remote Sensing Monitoring of Grassland Degradation[J]. Spectroscopy and Spectral Analysis, 2010, 30(10):2734-2738 doi: 10.3964/j.issn.1000-0593(2010)10-2734-05
[10]	Hunter P, Tyler A N, Présing M, et al. Spectral Discrimination of Phytoplankton Colour Groups:The Effect of Suspended Particulate Matter and Sensor Spectral Resolution[J]. Remote Sensing of Environment, 2007, 112(4):1527-1544 http://www.sciencedirect.com/science/article/pii/S0034425707004051
[11]	Franke J, Roberts D, Halligan K, et al.Hierarchical Multiple Endmember Spectral Mixture Analysis (MESMA) of Hyperspectral Imagery for Urban Environments[J]. Remote Sensing of Environment, 2009, 113(8):1712-1723 doi: 10.1016/j.rse.2009.03.018
[12]	Roberts D A, Gardner M, Church R, et al. Mapping Chaparral in the Santa Monica Mountains Using Multiple Endmember Spectral Mixture Models[J]. Remote Sensing of Environment, 1998, 65(3):267-279 doi: 10.1016/S0034-4257(98)00037-6
[13]	谭琨, 杜培军, 王小美.利用分离性测度多类支持向量机进行高光谱遥感影像分类[J].武汉大学学报·信息科学版, 2011, 36(2):171-175 http://ch.whu.edu.cn/CN/abstract/abstract451.shtml Tan Kun, Du Peijun, Wang Xiaomei. Multi-class Support Vector Machine Classifier Based on Separability Measure for Hyperspectral Remote Sensing Image Classification[J]. Geomatics and Information Science of Wuhan University, 2011, 36(2):171-175 http://ch.whu.edu.cn/CN/abstract/abstract451.shtml
[14]	肖青, 李敏.机载光学图像至卫星光学图像转换方法研究[J].北京师大学学报(自然科学版), 2007, 43(3):234-240 http://kns.cnki.net/KCMS/detail/detail.aspx?filename=bsdz200703003&dbname=CJFD&dbcode=CJFQ Xiao Qing, Li Min. A Study on the Transformation of Airborne Remote Sensing Image to Spaceborne Remote Sensing Image[J]. Journal of Beijing Normal University (Natural Science), 2007, 43(3):234-240 http://kns.cnki.net/KCMS/detail/detail.aspx?filename=bsdz200703003&dbname=CJFD&dbcode=CJFQ
[15]	闫玉春, 唐海萍.草地退化相关概念辨析[J].草业学报, 2008, 17(1):93-99 http://kns.cnki.net/KCMS/detail/detail.aspx?filename=cyxb200801015&dbname=CJFD&dbcode=CJFQ Yan Yuchun, Tang Haiping. Differentiation of Related Concepts of Grassland Degradation[J]. Acta Prataculturae Sinica, 2008, 17(1):93-99 http://kns.cnki.net/KCMS/detail/detail.aspx?filename=cyxb200801015&dbname=CJFD&dbcode=CJFQ
[16]	潘多锋. 三江源区"黑土型"退化草地的类型及等级划分标准研究[D]. 兰州: 甘肃农业大学, 2007 http://cdmd.cnki.com.cn/Article/CDMD-10733-2007136273.htm Pan Duofeng. Study on the Types and Grade Partition Criterion of "Black Soil Type" Degraded Grassland in the "Three-River Headwaters" Region[D]. Lanzhou: Gansu Agricultural University, 2007 http://cdmd.cnki.com.cn/Article/CDMD-10733-2007136273.htm
[17]	喻小勇, 邵全琴, 刘纪远.三江源区不同退化程度的高寒草甸光谱特征分析[J].地球信息科学学报, 2012, 14(3):398-404 http://kns.cnki.net/KCMS/detail/detail.aspx?filename=dqxx201203018&dbname=CJFD&dbcode=CJFQ Yu Xiaoyong, Shao Quanqin, Liu Jiyuan. Spectral Analysia of Different Degradation Levelalpine Meadows in "Three-River Headwaters" Region[J]. Journal of Geo-Information Science, 2012, 14(3):398-404 http://kns.cnki.net/KCMS/detail/detail.aspx?filename=dqxx201203018&dbname=CJFD&dbcode=CJFQ

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Remote Sensing Identification of Rangeland Degradation Using Hyperion Hyperspectral Image in a Typical Area for Three-River Headwater Region, Qinghai, China

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