Introducing a landcover map of Siberia derived from MERIS and MODIS data

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn 1, Issue , 2004, Pages 223-226

  Skinner, L ^a   Luckman, A ^a  

^a SWANSEA UNIVERSITY   (United Kingdom)

Author keywords

Classification; Global; Land cover

Indexed keywords

DATA REDUCTION; MATHEMATICAL MODELS; PERSONNEL TRAINING; PROBABILITY; PROJECT MANAGEMENT; SATELLITES; VEGETATION; WEBSITES;

CLASSIFICATION; GLOBAL; LAND COVERS; MERIS SATELLITE SENSORS; MODIS SATELLITE SENSORS;

IMAGE SENSORS;

EID: 15944422890     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. Belward, A., S., Estes, J., E., Kline, K., D., 1999, "The IGBP-DIS global 1-km land-cover data set Discover: A project overview", Photogrammetric Eng and Rem. Sens., 65(9), pp1013-1020
2. Hansen, M.C., DeFries, R.S., Townshend, J.R.G. and Sohlberg, R., 2000, "Global land cover classification at 1km spatial resolution using a classification tree approach", Int. J. Rem. Sens., 21, pp. 1331-1364
3. Bartholome, E., Belward, A. S., Achard, F., Bartalev, S., Carmona Morena, C., Eva, H., Fritz, S., Gregoire, J.-M., Mayaux, P., Stibig, H.-J., 2002, "Global land cover mapping for the year 2000 - Project status November 2002 (ref EUR 20524)", Report to European Union, REF 205524
4. Shvidenko A (1997) Biospheric role of the Russian forests. In: S.Nilsson (ed), Dialogue on Sustainable Development of the Russian Forest Sector, Volume 1, International Institute for Applied Systems Analysis, Laxenburg, IR-97-009, pp 22-44
5. Kurnaev SF. 1973. Forest vegetation regionalization of the USSR. Nauka, Moscow, 203 pp [in Russian]
6. Quinlan, J.R., 1993, "C4.5: Programs for Machine Learning", San Mateo, Calif. Morgan-Kaufman
7. Stahler, A., Muchoney, D., Borak, J., Friedl, M., Gopal, S., Lambin, E., Moody, A., 1999, "MODIS Land cover product Algorithm Theoretical Basis Document, Version 5.0", Technical document published by Boston University
8. McKiver, D.K. and Friedl, M.A., 2002, "Using prior probabilities in decision-tree classification of remotely sensed data", Rem. Sens. Environ., 81, pp. 253-261
9. th Nov., ESRIN, Italy