气候变化领域集成服务门户(CCPortal): Assessing map accuracy from a suite of site-specific, non-site specific, and spatial distribution approaches.

CCPortal

DOI	10.1016/j.rse.2021.112442
	Assessing map accuracy from a suite of site-specific, non-site specific, and spatial distribution approaches.
	Nelson M.D.; Garner J.D.; Tavernia B.G.; Stehman S.V.; Riemann R.I.; Lister A.J.; Perry C.H.
发表日期	2021
ISSN	00344257
卷号	260
英文摘要	Assessing a map's accuracy and efficacy requires careful consideration and calculation of a comprehensive set of measures, particularly when characteristics in geospatial datasets may be used for addressing multiple objectives. We describe a map accuracy assessment framework for categorical geospatial data over large areas that utilizes site-specific (plot-pixel), non-site specific (area estimates), and comparative accuracy (spatial and statistical distributions) methods. This comprehensive framework spans the range of approaches applied in most other studies, maximizing opportunities for both within- and between-study comparisons. The analysis framework incorporated recommended good practices for sampling design, response design, analysis protocols, and design-based inference for providing rigorous estimates of accuracy and precision. Further partitioning of disagreement allows users to assess the relative importance of spatial location versus total abundance of map classes to map error; we introduced a ratio of allocation disagreement to quantity disagreement for comparing relative importance of each across datasets. Assessment of fuzzy membership with linguistic scales may have minimal effect on overall accuracy, but can provide substantial improvement in user's accuracy and producer's accuracy for uncommon classes. We adapted non-site specific approaches to provide metrics and insights into spatial variability of map accuracy of thematic classes. Comparing estimates based on reference data and co-located samples of map data may reveal potential issues with reference data. We demonstrated example applications all components of the assessment framework for thematic maps of early successional forest and other land cover classes across the western Great Lakes region, USA. © 2021
英文关键词	Assessment framework; Map validation
语种	英语
scopus关键词	Importance sampling; Accuracy assessment; Assessment framework; Geo-spatial; Geo-spatial data; Map validation; Multiple-objectives; Reference data; Site-specific; Specific areas; Statistical distribution; Maps; accuracy assessment; assessment method; isoseismal map; land cover; map; pixel; precision; spatial distribution; Great Lakes [North America]; United States
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/178848
作者单位	USDA Forest Service, Northern Research Station, 1992 Folwell Avenue, St. Paul, MN 55108, United States; National Audubon Society, Western Water Initiative, 231 West 800 South, Ste. E., Salt Lake City, UT 84101, United States; SUNY College of Environmental Science and Forestry, 322 Bray Hall, 1 Forestry Drive, Syracuse, NY 13210, United States; USDA Forest Service, Northern Research Station, 425 Joran Road, Troy, NY 12180, United States; USDA Forest Service, Northern Research Station, 3460 Industrial Drive, York, PA 17402, United States
推荐引用方式 GB/T 7714	Nelson M.D.,Garner J.D.,Tavernia B.G.,et al. Assessing map accuracy from a suite of site-specific, non-site specific, and spatial distribution approaches.[J],2021,260.
APA	Nelson M.D..,Garner J.D..,Tavernia B.G..,Stehman S.V..,Riemann R.I..,...&Perry C.H..(2021).Assessing map accuracy from a suite of site-specific, non-site specific, and spatial distribution approaches..Remote Sensing of Environment,260.
MLA	Nelson M.D.,et al."Assessing map accuracy from a suite of site-specific, non-site specific, and spatial distribution approaches.".Remote Sensing of Environment 260(2021).