Using remotely sensed data to construct and assess forest attribute maps and related spatial products

Scandinavian Journal of Forest Research

Volumn 25, Issue 4, 2010, Pages 340-367

  Mcroberts, Ronald E ^a   Cohen, Warren B ^b   Erik, NÆSSET ^c   Stehman, Stephen V ^d   Tomppo, Erkki O ^e  

^a U S DEPARTMENT OF AGRICULTURE   (United States)

^b PACIFIC NORTHWEST RESEARCH STATION   (United States)

^c NORWEGIAN UNIVERSITY OF LIFE SCIENCES   (Norway)

^d SUNY UPSTATE MEDICAL UNIVERSITY   (United States)

^e FINNISH FOREST RESEARCH INSTITUTE   (Finland)

Author keywords

Accuracy assessment; Change detection; Inference; Lidar; Prediction

Indexed keywords

ACCURACY ASSESSMENT; CHANGE DETECTION; EMERGING TOPICS; FOREST RESEARCH; FOREST SUSTAINABILITY; INFERENTIAL METHODS; INFORMATION SOURCES; INVENTORY COSTS; LIDAR APPLICATIONS; LIDAR DATA; MODEL-BASED; NEW DIMENSIONS; NON-PARAMETRIC; PREDICTION TECHNIQUES; REMOTELY SENSED DATA; STATISTICAL CLASSIFICATION; STATISTICAL INFERENCE; TOPIC AREAS;

FORECASTING; OPTICAL RADAR; PROBABILITY DENSITY FUNCTION; REMOTE SENSING; RESEARCH; SIGNAL DETECTION;

CLIMATE CHANGE;

EID: 77955061568     PISSN: 02827581     EISSN: 16511891     Source Type: Journal    
DOI: 10.1080/02827581.2010.497496     Document Type: Review

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