Model-assisted estimation of growing stock volume using different combinations of LiDAR and Landsat data as auxiliary information

Remote Sensing of Environment

Volumn 158, Issue , 2015, Pages 431-440

  Saarela, Svetlana ^a   Grafström, Anton ^b   Ståhl, Göran ^b   Kangas, Annika ^a   Holopainen, Markus ^a   Tuominen, Sakari ^c   Nordkvist, Karin ^b   Hyyppä, Juha ^d  

^a UNIVERSITY OF HELSINKI   (Finland)

^b SWEDISH UNIVERSITY OF AGRICULTURAL SCIENCES   (Sweden)

^c FINNISH FOREST RESEARCH INSTITUTE   (Finland)

^d FINNISH GEODETIC INSTITUTE   (Finland)

Author keywords

Airborne LiDAR; Landsat; Model assisted estimator; Probability sampling; REDD monitoring

Indexed keywords

FORESTRY; RANDOM ERRORS; REGRESSION ANALYSIS;

AIRBORNE LIDAR; LANDSAT; LIGHT DETECTION AND RANGING; NATIONAL FOREST INVENTORIES; PROBABILITY PROPORTIONAL; PROBABILITY SAMPLING; RELATIVE STANDARD ERROR; SIMPLE RANDOM SAMPLING;

OPTICAL RADAR;

AIRBORNE SENSING; FOREST INVENTORY; LANDSAT; LIDAR; PRECISION; PROBABILITY; SATELLITE DATA; VOLUME;

FORESTS; IMAGE ANALYSIS; INFORMATION RETRIEVAL; INVENTORIES; PROBABILITY; REMOTE SENSING; SATELLITES;

ETELA-POHJANMAA; FINLAND; KUORTANE;

EID: 84921315701     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2014.11.020     Document Type: Article

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