Skip to Main Content
Accuracy assessment of maps of forest condition: Statistical design and methodological considerations [Chapter 5]Author(s): Raymond L. Czaplewski
Source: In: Wulder, Michael A.; Franklin, Steven E., eds. Remote Sensing of Forest Environments: Concepts and Case Studies. Boston, MA: Kluwer Academic Publishers. p. 115-140.
Publication Series: Book Chapter
Station: Rocky Mountain Research Station
PDF: View PDF (255.87 KB)
DescriptionNo thematic map is perfect. Some pixels or polygons are not accurately classified, no matter how well the map is crafted. Therefore, thematic maps need metadata that sufficiently characterize the nature and degree of these imperfections. To decision-makers, an accuracy assessment helps judge the risks of using imperfect geospatial data. To analysts, an accuracy assessment helps describe the reliability of the map for geospatial analyses and modeling, and the distribution of different types of "true" land cover within each mapped category. To producers of thematic maps, an accuracy assessment measures the degree of technical success for alternative algorithms or techniques. To project managers, an accuracy assessment helps determine contract compliance or measure performance of technical staff.
- You may send email to email@example.com to request a hard copy of this publication.
- (Please specify exactly which publication you are requesting and your mailing address.)
- We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
- This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
CitationCzaplewski, Raymond L. 2003. Accuracy assessment of maps of forest condition: Statistical design and methodological considerations [Chapter 5]. In: Wulder, Michael A.; Franklin, Steven E., eds. Remote Sensing of Forest Environments: Concepts and Case Studies. Boston, MA: Kluwer Academic Publishers. p. 115-140.
Keywordsaccuracy assessment, geospatial data, thematic maps, metadata
- Thematic and positional accuracy assessment of digital remotely sensed data
- An effective assessment protocol for continuous geospatial datasets of forest characteristics using USFS Forest Inventory and Analysis (FIA) data
- Assessing the climate change vulnerability of ecosystem types of the Southwestern U.S
XML: View XML