A vegetation map of the Central Congo basin derived from microwave and optical remote sensing data using a variable resolution classification approach

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn 3, Issue , 2001, Pages 1350-1352

  De Grandi, G F ^a   Mayaux, P ^a   Massart, M ^a   Baraldi, A ^a   Sgrenzaroli, M ^a  

^a JOINT RESEARCH CENTRE   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

DATA STRUCTURES; ECOLOGY; IMAGE QUALITY; MAPPING; REMOTE SENSING; SATELLITE OBSERVATORIES; SENSOR DATA FUSION; SPECTROMETERS; SYNTHETIC APERTURE RADAR; VEGETATION;

CENTRAL CONGO BASIN; COMPOSITE MICROWAVE OBSERVATIONS; IMAGING ORBITAL INSTRUMENTS; INFORMATION FUSION; OPTICAL OBSERVATIONS; SUSTAINABLE MANAGEMENT; VARIABLE RESOLUTION CLASSIFICATION APPROACH;

OPTICAL RADAR;

EID: 0035575264     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. The global rain forest mapping project JERS-1 radar mosaic of tropical Africa: Development and product characterization aspects
2. The ERS-1 Central Africa mosaic: A new perspective in radar remote sensing for the global monitoring of vegetation
3. Regional scale vegetation maps derived from the combined L-band GRFM and C-band CAMP wide area radar mosaics of Central Africa
4. ELBG implementation
5. The enhanced-LBG algorithm
6. Fully automatic clustering system
7. Contextual clustering for image segmentation