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Canadian Journal of Remote Sensing

Volumn 32, Issue 1, 2006, Pages 15-18

Riparian vegetation classification from airborne laser scanning data with an emphasis on cottonwood trees

(5) Farid, A a Rautenkranz, D a Goodrich, D C b Marsh, S E a Sorooshian, S c

a UNIVERSITY OF ARIZONA (United States)

b CARL HAYDEN BEE RESEARCH CENTER (United States)

c University of California at Irvine (United States)

Author keywords

[No Author keywords available]

Indexed keywords

HARDWOODS; MAXIMUM LIKELIHOOD ESTIMATION; OPTICAL RADAR; SCANNING; VEGETATION; ALGORITHMS; GEOGRAPHIC INFORMATION SYSTEMS; LASER RECORDING; MAXIMUM LIKELIHOOD; OBJECT RECOGNITION; PHOTOMAPPING; SENSOR DATA FUSION; COTTON; DATA REDUCTION; LASER APPLICATIONS; LASER ABLATION; MAPPING; REMOTE SENSING;

AGE CATEGORIES; FLYOVERS; LIDAR DATA; NEAR-INFRARED INTENSITY BAND; GEOGRAPHIC OBJECTS; NEAR-INFRARED INTENSITY BANDS; AIRBORNE LASER MAPPING SYSTEMS; AIRBORNE LASER SCANNING; INTENSITY BANDS; AIRBORNE LASER SCANNING DATA; MAXIMUM LIKELIHOOD ALGORITHMS; MODEL BANDS; RIVER BASINS;

FORESTRY; VEGETATION; COTTON;

PLANTS; POPULUS; RADAR; SCANNING; COTTON; FORESTRY; LASERS; MAPPING; MATHEMATICAL ANALYSIS; REMOTE SENSING;

EID: 33746136867 PISSN: 07038992 EISSN: 17127971 Source Type: Journal
DOI: 10.5589/m06-003 Document Type: Article

Times cited : (18)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.