22 October 2010 Revising the land cover and use classification of northern areas for climate modeling
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Abstract
Today, different carbon sources are producing more carbon dioxide than is being absorbed by carbon sinks, contributing towards the instability in the natural balance of carbon dioxide. The goal of the SnowCarbo-project is to improve the model predictions of carbon dioxide by using a variety of Earth Observation, GIS and in situ data in constraining and calibrating the models. The aim of this article is to present different alternatives for land cover data needed in climate and carbon balance modeling, and some preliminary evaluation in the context of climate modeling. The regional climate model REMO developed at Max Planck Institute has been used to simulate the past, present and future climates over wide range of spatial resolutions. These models use Olson ecosystem classification as land cover data, which represents Finnish environment quite badly. Therefore, new versions of land cover data have been constructed based on higher resolution GlobCover and Corine Land Cover classifications as well as classifying different MODIS-products. The results are preliminary, but new versions seem to work better.
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Markus Törmä, Markus Törmä, Ali Nadir Arslan, Ali Nadir Arslan, Suvi Hatunen, Suvi Hatunen, Pekka Härmä, Pekka Härmä, Tiina Markkanen, Tiina Markkanen, Jouni Susiluoto, Jouni Susiluoto, Jouni Pulliainen, Jouni Pulliainen, } "Revising the land cover and use classification of northern areas for climate modeling", Proc. SPIE 7824, Remote Sensing for Agriculture, Ecosystems, and Hydrology XII, 78241D (22 October 2010); doi: 10.1117/12.864943; https://doi.org/10.1117/12.864943
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