Mapping tropical forest vegetation from Landsat TM based on knowledge discovering

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn 4, Issue , 2001, Pages 1675-1677

  Yang, Cunjian ^a   Liu, Jiyuan ^a   Zhang, Zengxiang ^a   Wang, Siyuan ^a  

^a INSTITUTE OF REMOTE SENSING APPLICATIONS   (China)

Author keywords

[No Author keywords available]

Indexed keywords

FORESTRY; IMAGE ANALYSIS; IMAGE SENSORS; KNOWLEDGE BASED SYSTEMS; MAPPING; VEGETATION;

TROPICAL FOREST VEGETATION;

REMOTE SENSING;

FORESTS; IMAGE ANALYSIS; MAPPING; PLANTS; REMOTE SENSING;

EID: 0035570848     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. Comparison of high spatial resolution imagery for efficient generation of GIS vegetation layers
2. An assessment of radiance in Landsat TM middle and thermal infrared wavebands for the detection of tropical forest regeneration
3. Knowledge-based landcover classification using ERS-1/JERS-1 SAR composites
4. Model to support the integration of image understanding techniques with a GIS
5. Knowledge-based interpretation of remote sensing images using semantic nets