Integrating forest inventory data and MODIS data to map species-level biomass in chinese boreal forests

Canadian Journal of Forest Research

Volumn 48, Issue 5, 2018, Pages 461-479

  Zhang, Qinglong ^a,b   He, Hong S ^c,d   Liang, Yu ^b   Hawbaker, Todd J ^e   Henne, Paul D ^e   Liu, Jinxun ^f   Huang, Shengli ^g   Wu, Zhiwei ^h   Huang, Chao ^a,b  

^a INSTITUTE OF APPLIED ECOLOGY   (China)

^b UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

^c UNIVERSITY OF MISSOURI   (United States)

^d NORTHEAST NORMAL UNIVERSITY   (China)

^e DENVER FEDERAL CENTER   (United States)

^f U S GEOLOGICAL SURVEY   (United States)

^g USDA FOREST SERVICE   (United States)

^h JIANGXI NORMAL UNIVERSITY   (China)

Author keywords

Chinese boreal forest; KNN; MODIS; Random Forest (RF); Species level biomass

Indexed keywords

BIOMASS; DATA INTEGRATION; DECISION TREES; FORESTRY; RADIOMETERS; SATELLITE IMAGERY;

BOREAL FORESTS; CANONICAL CORRELATIONS; K-NEAREST NEIGHBOR METHOD; MAHALANOBIS DISTANCES; MODERATE RESOLUTION IMAGING SPECTRORADIOMETER; MODIS; RANDOM FORESTS; ROOT MEAN SQUARE DEVIATIONS;

NEAREST NEIGHBOR SEARCH;

ALGORITHM; BELOWGROUND BIOMASS; BOREAL FOREST; DATA SET; DISTURBANCE; ECOREGION; FOREST INVENTORY; FOREST MANAGEMENT; FOREST RESOURCE; MODIS; SATELLITE DATA; SUSTAINABLE FORESTRY;

ACCURACY; BIOMASS; CHINESE; DATA; DISTANCE; FORESTRY; FORESTS; PERFORMANCE;

CHINA;

BETULA PENDULA; LARIX; PICEA; SALIX;

EID: 85046071328     PISSN: 00455067     EISSN: 12086037     Source Type: Journal    
DOI: 10.1139/cjfr-2017-0346     Document Type: Article

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