Geostatistical modeling using LiDAR-derived prior knowledge with SPOT-6 data to estimate temperate forest canopy cover and above-ground biomass via stratified random sampling

International Journal of Applied Earth Observation and Geoinformation

Volumn 41, Issue , 2015, Pages 88-98

  Li, Wang ^a,b   Niu, Zheng ^a   Liang, Xinlian ^c   Li, Zengyuan ^d   Huang, Ni ^a   Gao, Shuai ^a   Wang, Cheng ^a   Muhammad, Shakir ^a,b  

^a INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^b UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

^c FINNISH GEODETIC INSTITUTE   (Finland)

^d RESEARCH INSTITUTE OF FORESTRY   (China)

Author keywords

Above ground biomass; Canopy cover; Geostatistical modeling; LiDAR; SPOT 6

Indexed keywords

ABOVEGROUND BIOMASS; FOREST CANOPY; FOREST COVER; GEOSTATISTICS; KRIGING; LIDAR; MAPPING; SATELLITE DATA; SPATIAL DISTRIBUTION; SPOT;

CHINA;

EID: 84943639292     PISSN: 15698432     EISSN: 1872826X     Source Type: Journal    
DOI: 10.1016/j.jag.2015.04.020     Document Type: Article

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