Thematic accuracy assessment of the NLCD 2019 land cover for the conterminous United States [PDF]
GIScience & Remote Sensing, 2023 The National Land Cover Database (NLCD), a product suite produced through the MultiResolution Land Characteristics (MRLC) consortium, is an operational land cover monitoring program.
James Wickham +4 more
doaj +4 more sources
Analysis of the Impact of Positional Accuracy When Using a Single Pixel for Thematic Accuracy Assessment [PDF]
Remote Sensing, 2020 The primary goal of thematic accuracy assessment is to measure the quality of land cover products and it has become an essential component in global or regional land cover mapping.
Jianyu Gu, Russell G. Congalton
doaj +7 more sources
Thematic Classification Accuracy Assessment with Inherently Uncertain Boundaries: An Argument for Center-Weighted Accuracy Assessment Metrics [PDF]
Remote Sensing, 2020 Accuracy assessment is one of the most important components of both applied and research-oriented remote sensing projects. For mapped classes that have sharp and easily identified boundaries, a broad array of accuracy assessment methods has been ...
Aaron E. Maxwell, Timothy A. Warner
doaj +5 more sources
Thematic Accuracy Quality Control by Means of a Set of Multinomials [PDF]
Applied Sciences, 2019 The error matrix has been adopted as both the “de facto” and the “de jure” standard way to report on the thematic accuracy assessment of any remotely sensed data product.
Francisco J. Ariza-López +3 more
doaj +6 more sources
Statistical Methods for Thematic-Accuracy Quality Control Based on an Accurate Reference Sample [PDF]
Remote Sensing, 2020 The goal of this work is to present a set of statistical tests that offer a formal procedure to make a decision as to whether a set of thematic quality specifications of a product is fulfilled within the philosophy of a quality control process. The tests
María V. Alba-Fernández +3 more
doaj +5 more sources
Tree cover mapping based on Sentinel-2 images demonstrate high thematic accuracy in Europe [PDF]
International Journal of Applied Earth Observations and Geoinformation, 2020 The spatial and temporal distribution of trees has a large impact on human health and the environment through contributions to important climate mechanisms as well as commercial, recreational and social activities in society.
Thor-Bjørn Ottosen +3 more
doaj +2 more sources
ASSESSMENT OF THE THEMATIC ACCURACY OF LAND COVER MAPS [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015 Several land cover maps are generated from aerial imagery and assessed by different approaches. The test site is an urban area in Europe for which six classes (‘building’, ‘hedge and bush’, ‘grass’, ‘road and parking lot’, ‘tree’, ‘wall and car port ...
J. Höhle
doaj +3 more sources
Thematic Accuracy Assessment of the NLCD 2016 land cover for the conterminous United States. [PDF]
Remote Sens Environ, 2021 The National Land Cover Database (NLCD) is an operational land cover monitoring program providing updated land cover and related information for the United States at five-year intervals. NLCD2016 extends temporal coverage to 15 years (2001 - 2016). We collected land cover reference data for the 2011 and 2016 nominal dates to report land cover accuracy ...
Wickham J +4 more
europepmc +3 more sources
Thematic accuracy assessment of the 2011 National Land Cover Database (NLCD). [PDF]
Remote Sens Environ, 2017 Accuracy assessment is a standard protocol of National Land Cover Database (NLCD) mapping. Here we report agreement statistics between map and reference labels for NLCD 2011, which includes land cover for ca. 2001, ca. 2006, and ca. 2011. The two main objectives were assessment of agreement between map and reference labels for the three, single-date ...
Wickham J +7 more
europepmc +4 more sources
Impacts of ignorance on the accuracy of image classification and thematic mapping
Remote Sensing of Environment, 2021 Thematic maps are often derived from remotely sensed imagery via a supervised image classification analysis. The training and testing stages of a supervised image classification may proceed ignorant of the presence of some classes in the region to be mapped.
Giles Foody
exaly +2 more sources