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CCI Land Cover Pre-processing. Challenges of pre-processing for Land Cover classification

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Kirches, G. [Brockmann Consult] Arino, O. [ESA] Boettcher, M. [Brockmann Consult] Bontemps, Sophie [UCL] Brockmann, C. [Brockmann Consult] Defourny, Pierre [UCL] Lamarche, Céline [UCL] Radoux, Julien [UCL] Zuehlke, M. [Brockmann Consult]

The CCI Land Cover project aims to generate a multi-sensor global land cover (ECV) dataset, using ENVISAT MERIS and ASAR as well as SPOT-VGT data. It will produce three combined land cover products for the years 2000, 2005 and 2010. The project builds upon the state-of-the-art technology from the GlobCover project. The processing chain contains 2 steps: pre-processing and classification. The work includes the already existing methods of validation, performance assessment and a detailed documentation of the processing procedures. Pre-processing includes the following steps: geometric and radiometric correction of the input data, pixel identification, atmospheric correction, compositing and mosaicing.

Document type Communication à un colloque (Conference Paper) – Poster
Access type Accès libre
Publication date 2013
Language Anglais
Conference "ESA Living Planet Symposium", Edinburgh, UK (du 09/09/2013 au 13/09/2013)
Affiliation UCL - SST/ELI/ELIE - Environmental Sciences
Links
Bibliographic reference Kirches, G. ; Arino, O. ; Boettcher, M. ; Bontemps, Sophie ; Brockmann, C. ; et. al. CCI Land Cover Pre-processing. Challenges of pre-processing for Land Cover classification.ESA Living Planet Symposium (Edinburgh, UK, du 09/09/2013 au 13/09/2013).
Permanent URL http://hdl.handle.net/2078.1/139516