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Remote Sensing Technology and Application  2016, Vol. 31 Issue (1): 23-30    DOI: 10.11873/j.issn.1004-0323.2016.1.0023
    
A Multi-objective Constrained Sampling Strategy for Field Experiment in Mountainous Areas
Yin Gaofei1,Li Ainong1,Zhao Wei1,Zeng Yelu2,3,Xu Baodong2,3
(1.Institute of Mountain Hazards and Environment,Chinese Academy of Sciences,Chengdu 610041,China;
2.State Key Laboratory of Remote Sensing Science,Institute of Remote Sensing and Digital Earth,
Chinese Academy of Sciences,Beijing 100101,China;
3 College of Resources and Environment,University of Chinese Academy of Sciences,Beijing 100049,China
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Abstract  

Sampling design is a prerequisite for field campaigns,which is especially important for the supporting of bio\|physical production validation.A good sample should get a proper compromise between representation of heterogeneous surface and implementation cost.Rugged terrain in mountainous areas complicates the sampling designing,resulting from its more heterogeneous and inaccessible characteristics.A novel sampling strategy was proposed based on constrained Latin Hypercube Sampling to address this problem.Results of a comparison experiment,implemented in Hailuogou,China,show that this sampling strategy can get a sample which is representative in both feature and geographical space,and with a relatively low implementation cost. 

Key words:  Sampling design      Field campaign      Representation      Implementation cost      Constrained Latin Hypercube Sampling     
Received:  09 December 2015      Published:  05 April 2016
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Yin Gaofei
Li Ainong
Zhao Wei
Zeng Yelu
Xu Baodong

Cite this article: 

Yin Gaofei,Li Ainong,Zhao Wei,Zeng Yelu,Xu Baodong. A Multi-objective Constrained Sampling Strategy for Field Experiment in Mountainous Areas. Remote Sensing Technology and Application, 2016, 31(1): 23-30.

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http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2016.1.0023     OR     http://www.rsta.ac.cn/EN/Y2016/V31/I1/23

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