Spatiotemporally Representative and Cost-Efficient Sampling Design for Validation Activities in Wanglang Experimental Site

doi:10.3390/rs9121217

CORC > 成都山地灾害与环境研究所 > 中国科学院水利部成都山地灾害与环境研究所 > 数字山地与遥感应用中心

	Spatiotemporally Representative and Cost-Efficient Sampling Design for Validation Activities in Wanglang Experimental Site
	Yin, Gaofei1 ; Li, Ainong1 ; Verger, Aleixandre 2
刊名	REMOTE SENSING
	2017-12-01
卷号	9 期号:12 页码:1217
关键词	Spatiotemporal Representative Cost-efficient Sampling Design Heterogeneity Validation
ISSN号	2072-4292
DOI	10.3390/rs9121217
通讯作者	李爱农
英文摘要	Spatiotemporally representative Elementary Sampling Units (ESUs) are required for capturing the temporal variations in surface spatial heterogeneity through field measurements. Since inaccessibility often coexists with heterogeneity, a cost-efficient sampling design is mandatory. We proposed a sampling strategy to generate spatiotemporally representative and cost-efficient ESUs based on the conditioned Latin hypercube sampling scheme. The proposed strategy was constrained by multi-temporal Normalized Difference Vegetation Index (NDVI) imagery, and the ESUs were limited within a sampling feasible region established based on accessibility criteria. A novel criterion based on the Overlapping Area (OA) between the NDVI frequency distribution histogram from the sampled ESUs and that from the entire study area was used to assess the sampling efficiency. A case study in Wanglang National Nature Reserve in China showed that the proposed strategy improves the spatiotemporally representativeness of sampling (mean annual OA = 74.7%) compared to the single-temporally constrained (OA = 68.7%) and the random sampling (OA = 63.1%) strategies. The introduction of the feasible region constraint significantly reduces in-situ labour-intensive characterization necessities at expenses of about 9% loss in the spatiotemporal representativeness of the sampling. Our study will support the validation activities in Wanglang experimental site providing a benchmark for locating the nodes of automatic observation systems (e.g., LAINet) which need a spatially distributed and temporally fixed sampling design.
学科主题	地理学 ; 地理学其他学科
语种	英语
WOS记录号	WOS:000419235700013
内容类型	期刊论文
源URL	[http://ir.imde.ac.cn/handle/131551/20756]
专题	成都山地灾害与环境研究所_数字山地与遥感应用中心
作者单位	1.Chinese Acad Sci, Inst Mt Hazards & Environm, Res Ctr Digital Mt & Remote Sensing Applicat, Chengdu 610041, Sichuan, Peoples R China 2.CREAF, E-08193 Catalonia, Spain
推荐引用方式 GB/T 7714	Yin, Gaofei,Li, Ainong,Verger, Aleixandre. Spatiotemporally Representative and Cost-Efficient Sampling Design for Validation Activities in Wanglang Experimental Site[J]. REMOTE SENSING,2017,9(12):1217.
APA	Yin, Gaofei,Li, Ainong,&Verger, Aleixandre.(2017).Spatiotemporally Representative and Cost-Efficient Sampling Design for Validation Activities in Wanglang Experimental Site.REMOTE SENSING,9(12),1217.
MLA	Yin, Gaofei,et al."Spatiotemporally Representative and Cost-Efficient Sampling Design for Validation Activities in Wanglang Experimental Site".REMOTE SENSING 9.12(2017):1217.