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Mapping large-scale distribution and changes of aquatic vegetation in Honghu Lake, China, using multitemporal satellite imagery

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成果类型:
期刊论文
作者:
Li, Fangfang*;Li, Chang;Xiao, Benlin;Wang, Yanzhen
通讯作者:
Li, Fangfang
作者机构:
[Wang, Yanzhen; Li, Fangfang] Natl Univ Def Technol, Coll Informat Syst & Management, Changsha 410073, Hunan, Peoples R China.
[Li, Chang] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Peoples R China.
[Xiao, Benlin] Hubei Univ Technol, Civil Engn & Architecture Sch, Wuhan 430068, Peoples R China.
通讯机构:
[Li, Fangfang] N
Natl Univ Def Technol, Coll Informat Syst & Management, Changsha 410073, Hunan, Peoples R China.
语种:
英文
关键词:
Vegetation;Earth observing sensors;Landsat;Image classification;Remote sensing;Satellites;Transparency;Ecosystems;Satellite imaging;Atmospheric modeling
期刊:
Journal of Applied Remote Sensing
ISSN:
1931-3195
年:
2013
卷:
7
期:
1
页码:
073593
基金类别:
National Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [41001260, 41101413, 41101407]; Natural Science Foundation of Hunan Province, ChinaNatural Science Foundation of Hunan Province [11JJ5044]
机构署名:
本校为其他机构
院系归属:
城市与环境科学学院
摘要:
Honghu Lake, one of the seven largest fresh-water lakes in China, is well known for its ecological and economic importance, as well as its rapid changes in recent years. This study investigates the potential of using remote sensing to map and monitor aquatic vegetation changes in Honghu Lake on a large scale. Landsat TM/ETM+ images dated July 27, 2000, July 9, 2002, and July 17, 2008, and CBERS image dated August 12, 2005, are employed to map the aquatic vegetation distribution in the lake. A hybrid classification method, combining the power of the decision tree classifier, naive Bayes classif...

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