Statistical rigor in LiDAR-assisted estimation of aboveground forest biomass

Remote Sensing of Environment

Volumn 173, Issue , 2016, Pages 98-108

  Gregoire, Timothy G ^a   Næsset, Erik ^b   McRoberts, Ronald E ^c   Ståhl, Göran ^d   Andersen, Hans Erik ^e   Gobakken, Terje ^b   Ene, Liviu ^b   Nelson, Ross ^f  

^a Yale School of the Environment   (United States)

^b NORWEGIAN UNIVERSITY OF LIFE SCIENCES   (Norway)

^c USDA FOREST SERVICE   (United States)

^d SWEDISH UNIVERSITY OF AGRICULTURAL SCIENCES   (Sweden)

^e PACIFIC NORTHWEST RESEARCH STATION   (United States)

^f NASA GODDARD SPACE FLIGHT CENTER   (United States)

Author keywords

Sampling; Statistical inference; Variance estimation

Indexed keywords

APPLICATION PROGRAMS; BIOMASS; C (PROGRAMMING LANGUAGE); FORESTRY; SAMPLING; STATISTICAL METHODS; SURVEYS;

AUXILIARY INFORMATION; BIOMASS ESTIMATION; FOREST RESOURCES; LIDAR (LIGHT DETECTION AND RANGING); REMOTELY SENSED DATA; STATISTICAL INFERENCE; UNCERTAINTY ESTIMATION; VARIANCE ESTIMATION;

OPTICAL RADAR;

ABOVEGROUND BIOMASS; FOREST INVENTORY; FOREST MANAGEMENT; FOREST RESOURCE; LIDAR; REMOTE SENSING; RESOURCE ASSESSMENT; SAMPLING; STATISTICAL ANALYSIS; TROPICAL REGION; VARIANCE ANALYSIS;

ATLANTIC OCEAN; ATLANTIC OCEAN (NORTH); NORTHERN EUROPE;

EID: 84947999074     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2015.11.012     Document Type: Article

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