globalchange  > 气候变化事实与影响
DOI: 10.1016/j.jag.2015.04.003
Scopus记录号: 2-s2.0-84943609348
论文题名:
A new 500-m resolution map of canopy height for Amazon forest using spaceborne LiDAR and cloud-free MODIS imagery
作者: Sawada Y; , Suwa R; , Jindo K; , Endo T; , Oki K; , Sawada H; , Arai E; , Shimabukuro Y; E; , Celes C; H; S; , Campos M; A; A; , Higuchi F; G; , Lima A; J; N; , Higuchi N; , Kajimoto T; , Ishizuka M
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2015
卷: 43
起始页码: 92
结束页码: 101
语种: 英语
英文关键词: Amazon forest ; Canopy height mapping ; D-H model ; ICESat/GLAS ; MODIS
Scopus关键词: correlation ; environmental modeling ; forest canopy ; height determination ; lidar ; mapping ; MODIS ; spatial distribution ; Amazonas [Brazil] ; Brazil
英文摘要: In the present study, we aimed to map canopy heights in the Brazilian Amazon mainly on the basis of spaceborne LiDAR and cloud-free MODIS imagery with a new method (the Self-Organizing Relationships method) for spatial modeling of the LiDAR footprint. To evaluate the general versatility, we compared the created canopy height map with two different canopy height estimates on the basis of our original field study plots (799 plots located in eight study sites) and a previously developed canopy height map. The compared canopy height estimates were obtained by: (1) a stem diameter at breast height (D) - tree height (H) relationship specific to each site on the basis of our original field study, (2) a previously developed D-H model involving environmental and structural factors as explanatory variables (Feldpausch et al., 2011 ), and (3) a previously developed canopy height map derived from the spaceborne LiDAR data with different spatial modeling method and explanatory variables (Simard et al., 2011 ). As a result, our canopy height map successfully detected a spatial distribution pattern in canopy height estimates based on our original field study data (r = 0.845, p = 8.31 × 10-3) though our canopy height map showed a poor correlation (r= 0.563, p = 0.146) with the canopy height estimate based on a previously developed model by Feldpausch et al. (2011). We also confirmed that the created canopy height map showed a similar pattern with the previously developed canopy height map by Simard et al. (2011). It was concluded that the use of the spaceborne LiDAR data provides a sufficient accuracy in estimating the canopy height at regional scale. © 2015 Elsevier B.V.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79577
Appears in Collections:气候变化事实与影响

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作者单位: Institute of Industrial Science (IIS), The University of Tokyo, Meguro, Tokyo, Japan; Forestry and Forest Products Research Institute (FFPRI), Tsukuba, Ibaraki, Japan; National Institute for Space Research (INPE), São José dos Campos, SP, Brazil; National Institute for Amazon Research (INPA), Manaus, AM, Brazil; National Institute for Environmental Studies (NIES), Tsukuba, Ibaraki, Japan; Universidade Estadual do Norte Fluminense Darcy Ribeiro, Av. Alberto Lamego, 2000, Campos dos Goytacazes, RJ, Brazil; Remote Sensing Technology Center of Japan (RESTEC), Minato-ku, Tokyo, Japan; Forestry and Forest Products Research Institute (FFPRI), Tsukuba, Ibaraki, Japan; Japan International Forestry Promotion Center, Bunkyo, Tokyo, Japan

Recommended Citation:
Sawada Y,, Suwa R,, Jindo K,et al. A new 500-m resolution map of canopy height for Amazon forest using spaceborne LiDAR and cloud-free MODIS imagery[J]. International Journal of Applied Earth Observation and Geoinformation,2015-01-01,43
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