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Spatiotemporally Representative and Cost-Efficient Sampling Design for Validation Activities in Wanglang Experimental Site
Yin, Gaofei1; Li, Ainong1; Verger, Aleixandre2
2017
Source PublicationREMOTE SENSING
EISSN2072-4292
Volume9Issue:12
SubtypeArticle
AbstractSpatiotemporally 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.
KeywordSpatiotemporal Representative Cost-efficient Sampling Design Heterogeneity Validation
WOS HeadingsScience & Technology ; Technology
DOI10.3390/rs9121217
WOS Subject ExtendedRemote Sensing
Indexed BySCI
WOS KeywordLEAF-AREA INDEX ; FRACTIONAL VEGETATION COVER ; REMOTE-SENSING DATA ; SPATIAL HETEROGENEITY ; SURFACE REFLECTANCE ; PRODUCT VALIDATION ; LAI ; VARIABILITY ; DERIVATION ; MAPS
Language英语
Quartile2区
TOP
WOS SubjectRemote Sensing
WOS IDWOS:000419235700013
Funding OrganizationNational Key Research and Development Program of China(2016YFA0600103) ; National Natural Science Foundation of China(41601403 ; Youth Talent Team Program of Institute of Mountain Hazards and Environment, Chinese Academy of Sciences(SDSQB-2015-02) ; CAS "Light of West China" Program ; EC(CGLOPS-1 ; 41631180 ; 199494-JRC) ; 41571373 ; 41531174)
PublisherMDPI AG
Citation statistics
Cited Times:7[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.imde.ac.cn/handle/131551/20756
Collection数字山地与遥感应用中心
Corresponding AuthorLi, Ainong
Affiliation1.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
First Author Affilication中国科学院水利部成都山地灾害与环境研究所
Corresponding Author Affilication中国科学院水利部成都山地灾害与环境研究所
Recommended Citation
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).
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).
MLA Yin, Gaofei,et al."Spatiotemporally Representative and Cost-Efficient Sampling Design for Validation Activities in Wanglang Experimental Site".REMOTE SENSING 9.12(2017).
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