Key issues in rigorous accuracy assessment of land cover products

REMOTE SENSING OF ENVIRONMENT

卷:231

Article

Stehman, Stephen V.¹  Foody, Giles M.² 

[1] SUNY Coll Environm Sci & Forestry, Dept Forest & Nat Resources Management, Syracuse, NY 13210 USA

[2] Univ Nottingham, Sch Geog, Sir Clive Granger Bldg,Univ Pk, Nottingham NG7 2RD, England

关键词: Probability sampling;    Remote sensing;    Inference;    Uncertainty;    Area estimation;    Error matrix;   

DOI  :  10.1016/j.rse.2019.05.018

来源: Elsevier

【 摘 要 】

Accuracy assessment and land cover mapping have been inexorably linked throughout the first 50 years of publication of Remote Sensing of Environment. The earliest developers of land-cover maps recognized the importance of evaluating the quality of their maps, and the methods and reporting format of these early accuracy assessments included features that would be familiar to practitioners today. Specifically, practitioners have consistently recognized the importance of obtaining high quality reference data to which the map is compared, the need for sampling to collect these reference data, and the role of an error matrix and accuracy measures derived from the error matrix to summarize the accuracy information. Over the past half century these techniques have undergone refinements to place accuracy assessment on a more scientifically credible footing. We describe the current status of accuracy assessment that has emerged from nearly 50 years of practice and identify opportunities for future advances. The article is organized by the three major components of accuracy assessment, the sampling design, response design, and analysis, focusing on good practice methodology that contributes to a rigorous, informative, and honest assessment. The long history of research and applications underlying the current practice of accuracy assessment has advanced the field to a mature state. However, documentation of accuracy assessment methods needs to be improved to enhance reproducibility and transparency, and improved methods are required to address new challenges created by advanced technology that has expanded the capacity to map land cover extensively in space and intensively in time.

【 授权许可】

Free