Spatial distribution of forest aboveground biomass in China: Estimation through combination of spaceborne lidar, optical imagery, and forest inventory data

Remote Sensing of Environment

Volumn 173, Issue , 2016, Pages 187-199

  Su, Yanjun ^a,b   Guo, Qinghua ^a,b   Xue, Baolin ^a   Hu, Tianyu ^a   Alvarez, Otto ^b   Tao, Shengli ^a,c   Fang, Jingyun ^a,c  

^a INSTITUTE OF BOTANY   (China)

^b Merced   (United States)

^c PEKING UNIVERSITY   (China)

Author keywords

China; Forest aboveground biomass; GLAS ICESat; Ground inventory; Lidar

Indexed keywords

ANEROID ALTIMETERS; BIOMASS; CLIMATE CHANGE; ECOSYSTEMS; FORESTRY; MEAN SQUARE ERROR; OPTICAL RADAR; RADIO ALTIMETERS; SATELLITE IMAGERY;

ABOVE GROUND BIOMASS; CHINA; COEFFICIENT OF DETERMINATION; GEOSCIENCE LASER ALTIMETER SYSTEMS; GLAS/ICESAT; GROUND INVENTORY; LAND ELEVATION SATELLITES; ROOT MEAN SQUARE ERRORS;

MAPPING;

ABOVEGROUND BIOMASS; CARBON BALANCE; CARBON SINK; CLIMATE CHANGE; DATA SET; ESTIMATION METHOD; FOREST COVER; FOREST INVENTORY; GLAS; GLOBAL CLIMATE; ICESAT; LIDAR; LITERATURE REVIEW; OPTICAL METHOD; SPATIAL DISTRIBUTION; TOPOGRAPHIC MAPPING; UNCERTAINTY ANALYSIS;

CHINA;

EID: 84949490566     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2015.12.002     Document Type: Article

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