Combining MISR, ETM+ and SAR data to improve land cover and land use classification for carbon cycle research

2003 IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data

Volumn , Issue , 2004, Pages 80-85

  Liu, Xue ^a   Kafatos, M ^a   Gomez, R B ^a   Goetz, S J ^b,c  

^a George Mason University   (United States)

^b UNIVERSITY OF MARYLAND   (United States)

^c WOODS HOLE RESEARCH CENTER   (United States)

Author keywords

Carbon cycle; Classification; Data fusion; Global change; Land cover and land use; Remote sensing; Temperate forest

Indexed keywords

CLIMATE CHANGE; DATA FUSION; FORESTRY; LAND USE; REMOTE SENSING; SYNTHETIC APERTURE RADAR; UNCERTAINTY ANALYSIS;

CARBON CYCLES; CLIMATE CHANGE MODELING; GLOBAL CHANGE; LAND COVER; LAND COVER CLASSIFICATION; LANDUSE CLASSIFICATIONS; REMOTELY SENSED DATA; TEMPERATE FORESTS;

CLASSIFICATION (OF INFORMATION);

EID: 84945303858     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WARSD.2003.1295177     Document Type: Conference Paper

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