Evaluation of satellite change detection methods for monitoring forest harvest and silvicultural activity in Maine industrial forests

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 3119, Issue , 1997, Pages 2-12

  Pangaribuan, Humala P ^a   Sader, Steven A ^b  

^a Regional Development Planning Board   (Indonesia)

^b UNIVERSITY OF MAINE   (United States)

Author keywords

Accuracy assessment; Forest monitoring; Landsat; Normalized difference vegetation index; Principal components analysis; Principal factor analysis; Satellite change detection

Indexed keywords

APPLICATIONS; BLIND SOURCE SEPARATION; FORESTRY; INFORMATION MANAGEMENT; MAXIMUM LIKELIHOOD; MAXIMUM LIKELIHOOD ESTIMATION; PLANNING; REMOTE SENSING; SATELLITES; SENSORS; SIGNAL DETECTION; VEGETATION;

ACCURACY ASSESSMENT; FOREST MONITORING; LANDSAT; NORMALIZED DIFFERENCE VEGETATION INDEX; PRINCIPAL COMPONENTS ANALYSIS; PRINCIPAL FACTOR ANALYSIS; SATELLITE CHANGE DETECTION;

PRINCIPAL COMPONENT ANALYSIS;

EID: 0005077712     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.285550     Document Type: Conference Paper

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