Assessment of a Global Land Cover Classification Allocated Across the Landscape of Georgia (USA)

Abstract

Aims: To assess the agreement of a globalland covermap to reference imagery when applied to a region (state) of the southern United States and to determine whether different sampling designs or the use of broader land class definitions can overcome problems associated with the inherent heterogeneity of land use in the region . Study Design:We assessed the agreement of theGlob Cover 2009 global, medium resolution land cover assignments within the State of Georgia to USDA NAIP reference imagery. We performed the assessment using two statistically random sampling methods: pixel-based and block-based sampling. We then grouped some land classes according to possibilities of agreementrelationships expressed by others, and assessed the agreement using these systems. Place and Duration of Study:State of Georgia (USA). Imagery and reference data acquired in 2009. Methodology: Sample: We examined 3,930 sample pixels or pixel blocks from 16 land cover classes. Each sample was allocated a land class in the GlobCover 2009 dat abase. Each sample was interpreted as a land class through photo -interpretation of