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

Autor: Kirches, G., Arino, O., Boettcher, M., Bontemps, Sophie, Brockmann, C., Danne, O., Defourny, Pierre, Kalogirou, V., Lamarche, Céline, Paperin, M., Radoux, Julien, Seifert, F-M., Smollich, S., Zuehlke, M.
Přispěvatelé: UCL - SST/ELI/ELIE - Environmental Sciences
Jazyk: angličtina
Rok vydání: 2013
Popis: 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.
Databáze: OpenAIRE