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dc.contributor.authorSAWADA, YOSHITO
dc.contributor.authorCAMPOS, MOACIR ALBERTO ASSIS
dc.contributor.authorLIMA, ADRIANO JOSÉ NOGUEIRA
dc.contributor.authorNiro Higuchi
dc.contributor.authorKAJIMOTO, TAKUYA
dc.contributor.authorISHIZUKA, MORIYOSHI
dc.contributor.authorSUWA, REMPEI
dc.contributor.authorJINDO, KEIJI
dc.contributor.authorENDO, TAKAHIRO
dc.contributor.authorOKI, KAZUO
dc.contributor.authorSAWADA, HARUO
dc.contributor.authorARAI, EGIDIO
dc.contributor.authorSHIMABUKURO, YOSIO EDEMIR
dc.contributor.authorCELES, CARLOS HENRIQUE SOUZA
dc.description.abstractIn the present study, we aimed to map canopy heights in the Brazilian Amazon mainly on the basis of spacebome 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 spacebome 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 x 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. (C) 2015 Elsevier B.V. All rights reserved.
dc.subjectDinâmica Florestal
dc.subjectInventário Florestal
dc.subjectsensoriamento remoto
dc.titleA new 500-m resolution map of canopy height for Amazon forest using spaceborne LiDAR and cloud-free MODIS imagery
dc.publisher.periodicoITC Journal
Aparece nas coleções:Coordenação de Dinâmica Ambiental (CDAM)

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