A Terrestrial Surface Climate Data Record for Global Change Studies

The overall objective of this project is to produce, validate and distribute a global land surface climate data record (CDR) using a combination of mature and tested algorithms and the best available polar-orbiting satellite data from 1981-2009 which can be extended into the NPOESS era. The data record consists of one fundamental climate data record (FCDR), the surface reflectance product. Two Thematic CDR’s (TCDRs) are also derived from the FCDR, the normalized difference vegetation index (VI) and LAI/fAPAR.

M. Sgrenzaroli, A. Baraldi, H. Eva, et al., "Contextual clustering for image labeling: an application to degraded forest assessment in Landsat TM images of the Brazilian Amazon," IEEE Trans.Geosci.Remote Sensing, vol. 40, no. 8, pp. 1833-1848, Aug. 2002.

M. Sgrenzaroli, A. Baraldi, G. De Grandi, H. Eva, and F. Achard, "A novel operational approach to tropical vegetation mapping at regional scale using the GRFM radar mosaics," IEEE Trans. Geosci. Remote Sensing, vol. 42, no. 11, pp. 2654-2668, Nov. 2004.

A. Baraldi, L. Bruzzone, P. Blonda, and L. Carlin, ''Badly-posed classification of remotely sensed images - An experimental comparison of existing data labeling systems,'' IEEE Trans. Geosci. Remote Sensing, vol. 44, no. 1, pp. 214-235, Jan. 2006.

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