Comparing the GLC2000 and GeoCover LC land cover datasets for use in economic modelling of land use

This paper compares two recent near‐global land cover (GLC) datasets, GLC 2000 and GeoCover LC, with differing resolutions (1km versus 30 m) for their potential usefulness in economic analyses of the determinants of land use. The comparisons are for two ecologically distinct parts of the world—Sumatra and the Horn of Africa. Cross‐tabs that provide different views of the datasets are developed and reported. We expected to find heterogeneity in 1km categories that were identified as mosaic and did. More surprising is the degree of heterogeneity of the categories one might expect to be homogeneous. For both regions, a 1km pixel often appears to include a wide range of economic activities that are likely to respond to economic and social forces in different ways. Hence, using the 1km data as representative of land use in models of location‐specific socioeconomic response, such as to climate change or land use policies is especially problematic, even if the classification accuracy were very high.

[1]  J. Townshend,et al.  Global land cover classi(cid:142) cation at 1 km spatial resolution using a classi(cid:142) cation tree approach , 2004 .

[2]  Richard A. Wadsworth,et al.  What is Land Cover? , 2005 .

[3]  Gerald Nelson,et al.  Do Roads Cause Deforestation? Using Satellite Images in Econometric Analysis of Land Use , 1997 .

[4]  M. Hansen,et al.  A comparison of the IGBP DISCover and University of Maryland 1 km global land cover products , 2000 .

[5]  Yelena Ogneva-Himmelberger,et al.  Modeling tropical deforestation in the southern Yucatán peninsular region: comparing survey and satellite data , 2001 .

[6]  K. Chomitz,et al.  Roads, land use, and deforestation : a spatial model applied to Belize , 1996 .

[7]  Chandra Giri,et al.  A comparative analysis of the Global Land Cover 2000 and MODIS land cover data sets , 2005 .

[8]  A. D. Gregorio,et al.  Land Cover Classification System (LCCS): Classification Concepts and User Manual , 2000 .

[9]  Russell G. Congalton,et al.  An Error Matrix Approach to Fuzzy Accuracy Assessment: The NIMA Geocover Project , 2004 .

[10]  M. LEDWITH Land cover classification using SPOT Vegetation 10-day composite images – Baltic Sea catchment basin , 2002 .

[11]  Gerald C. Nelson,et al.  Deforestation, Land Use, and Property Rights: Empirical Evidence from Darién, Panama , 2001, Land Economics.

[12]  A. Belward,et al.  GLC2000: a new approach to global land cover mapping from Earth observation data , 2005 .

[13]  A. Pfaff What drives deforestation in the Brazilian Amazon? Evidence from satellite and socioeconomic data , 1997 .

[14]  Jianguo Wu,et al.  The modifiable areal unit problem and implications for landscape ecology , 1996, Landscape Ecology.