Designing a Reference Validation Database for Accuracy Assessment of Land Cover
Stephen Stehman1, Pontus Olofsson2, Curtis Woodcock2, Mark Friedl2, Adam Sibley2, Jared Newell2, Damien Sulla-Menashe2 and Martin Herold3
1. College of Environmental Science & Forestry, State University of New York, Syracuse, NY, USA
2.Department of Geography and Environment, Boston University Boston, MA, USA
3. Laboratory of Geo-Information, Science and Remote Sensing, Wageningen University, Wageningen, NL
1. firstname.lastname@example.org; 2. email@example.com; 3. Martin.Herold@wur.nl
Abstract: The cost efficiency and consistency of accuracy assessments of global and regional land-cover maps would be greatly enhanced by creating a global reference validation database applicable to a variety land-cover maps. This validation database would have at its core a common underlying rigorous sampling design and a consistent protocol for interpreting the reference (ground condition) classification against which the map classification would be compared. The basic sampling design proposed for collecting reference data is a cluster design stratified based on Koppen climate classes and population density. Some features of a sample of 500 clusters selected by this design are described.
Keywords: sampling design; stratified random sampling; error matrix