Improved understorey bamboo cover mapping using a novel hybrid neural network and expert system

International Journal of Remote Sensing

Volumn 30, Issue 4, 2009, Pages 965-981

  Wang, T J ^a   Skidmore, A K ^a   Toxopeus, A G ^a  

^a UNIVERSITY OF TWENTE   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); EXPERT SYSTEMS; FORESTRY; MAPPING; NEURAL NETWORKS; REMOTE SENSING;

FOREST CANOPIES; FORESTED LANDSCAPES; HYBRID NEURAL NETWORKS; MAPPING ACCURACY; NEURAL NETWORK CLASSIFICATION; OVERALL ACCURACIES; QINLING MOUNTAINS; REMOTE SENSING CLASSIFICATION;

BAMBOO;

ABUNDANCE; ACCURACY ASSESSMENT; ARTIFICIAL NEURAL NETWORK; ASTER; BAMBOO; DENSITY; EXPERT SYSTEM; FOREST CANOPY; GIS; IMAGE CLASSIFICATION; MAPPING METHOD; REMOTE SENSING; SATELLITE IMAGERY; UNDERSTORY; VEGETATION COVER; VEGETATION MAPPING;

BAMBOO; NEURAL NETWORKS; REMOTE SENSING; SOFTWOODS;

ASIA; CHINA; EURASIA; FAR EAST; QINLING MOUNTAINS;

AILUROPODA MELANOLEUCA;

EID: 67650684276     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431160802411867     Document Type: Article

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