Prototyping a probability-based Best Map Approach for global land cover datasets at lkm resolution using MODIS, GLC2000, UMD and IGBP

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外文摘要：Different approaches have been developed and used for global land cover mapping。 Differences， heterogeneities and problems are largely understood and the logical next step is to combine a suite of datasets into a "best" map based on accuracy data。 The prototype activity here uses global probabilities derived in a comparative accuracy assessment in combination with the spatial homogeneity to generate a synthetic new dataset of higher quality。 A pixel-probability was derived from a comparative validation of the four input datasets and used to derive a global best map prototype with coarse thematic detail。 We present the approach using 5 generic classes。

外文关键词：

global land covervalidationbest mapaccuracy assessmentspatial homogeneity

作者：

H. Goehmann、M. Herald、M. Jung、M. Schulz、C. Schmullius

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作者单位：

Department of Earth Observation, Institute of Geography, Friedrich-Schiller-University Jena, Germany

Max Planck Institute for Biogeochemistry, Jena, Germany

会议名称：

International symposium on remote sensing of environment;ISRSE-33

会议地点：

Stresa(IT);Stresa(IT)

会议母体文献：

33rd international symposium on remote sensing of environment : Proceedings

页码：

P.404-407

出版时间：

2009