The fraction of land cover classes; derived variables from ESA CCI Land Cover time-series (1992 - 2018)
Description
GEOEssential project (http://www.geoessential.eu/) is built on an end-user-driven approach to first identify environmental policy indicators, then their associated Essential Variables (EVs), and finally the appropriate Earth Observation data sources. In the context of the GEOEssential project, we developed a workflow to aggregate the ESA CCI Land Cover time-series (https://www.esa-landcover-cci.org/) in a more end-user friendly format and structure. The ESA CCI Land Cover time-series describe the land surface with 22 classes at a spatial resolution of 0.002778° (~ 300 m) annually from 1992 to 2018. We calculated the fraction of each class at two windows of 10 x 10 pixels and 100 x 100 pixels for the entire time-series. As a result, we produced 22 layers corresponding to each of the classes, per year, presenting the fraction of each class in ~3 km and ~30 km globally from 1992 to 2018. This provides the end-users with the possibility to explore the changes in a fraction of a single land cover class, e.g. urban areas, and easily employ the ESA CCI Land Cover time-series in their works with a significantly less computational cost at the global scale. Furthermore, we merged the three classes of cultivated areas, forest areas, and urban areas, and calculated the fraction of each class following the classification used by the IPCC Assessment Report 5 and the IPBES Global Assessment. These derived variables could be used to monitor ecosystem structure and changes of specified land cover classes extent in time and space. In this contribution, we aim to inform the community about the availability of such derived variables and to present some example applications. "Niamir_POSTER_The Fraction of Land Cover Classes.pdf": a poster presented at the GEO BON #OSC2020 "frac100_allyears.7z": : All years, all classes, fraction in 100 x 100 pixels in NetCDF format "frac10_allyears.7z": : All years, all classes, fraction in 10 x 10 pixels in NetCDF format "fraccover_classbased_100.7z" : All years, all classes, class by class, fraction in 100 x 100 pixels in GeoTIFF format "fraccover_classbased_10.7z" : All years, all classes, class by class, fraction in 10 x 10 pixels in GeoTIFF format
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http://data.europa.eu/88u/dataset/oai-zenodo-org-3730469 |