6533b7d7fe1ef96bd1268261

RESEARCH PRODUCT

A methodology to generate a synergetic land-cover map by fusion of different land-cover products

Ana Pérez-hoyosJesús San-miguel-ayanzFrancisco Javier García-haro

subject

Flexibility (engineering)Global and Planetary ChangePixelLand coverManagement Monitoring Policy and LawSynergistic combinationcomputer.software_genreSet (abstract data type)Thematic mapGeographyData miningComputers in Earth SciencesCartographycomputerEarth-Surface Processes

description

Abstract The main goal of this study is to develop a general framework for building a hybrid land-cover map by the synergistic combination of a number of land-cover classifications with different legends and spatial resolutions. The proposed approach assesses class-specific accuracies of datasets and establishes affinity between thematic legends using a common land-cover language such as the UN Land-Cover Classification System (LCCS). The approach is illustrated over a large region in Europe using four land-cover datasets (CORINE, GLC2000, MODIS and GlobCover), but it can be applied to any set of existing products. The multi-classification map is expected to improve the performance of individual classifications by reconciling their best characteristics while avoiding their main weaknesses. The intermap comparison reveals improved agreement of the hybrid map with all other land-cover products and therefore indicates the successful exploration of synergies between the different products. The approach offers also estimates for the classification confidence associated with the pixel label and flexibility to shift the balance between commission and omission errors, which are critical in order to obtain a desired reliable map.

yearjournalcountryeditionlanguage
2012-10-01International Journal of Applied Earth Observation and Geoinformation
https://doi.org/10.1016/j.jag.2012.04.011