CCI Land Cover Pre-processing. Challenges of pre-processing for Land Cover classification
(2013) ESA Living Planet Symposium — Location: Edinburgh, UK (9.September.2013)
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- Abstract
- 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.
- Affiliations
Citations
Kirches, G., Arino, O., Boettcher, M., Bontemps, S., Brockmann, C., Danne, O., Defourny, P., Kalogirou, V., Lamarche, C., Paperin, M., Radoux, J., Seifert, F.-M., Smollich, S., & Zuehlke, M. (2013). CCI Land Cover Pre-processing. Challenges of pre-processing for Land Cover classification. ESA Living Planet Symposium, Edinburgh, UK. https://hdl.handle.net/2078.5/260935