Please use this identifier to cite or link to this item:
https://repositorio.inpa.gov.br/handle/1/15948
Title: | A new 500-m resolution map of canopy height for Amazon forest using spaceborne LiDAR and cloud-free MODIS imagery |
Authors: | Sawada, Yoshito Suwa, Rempei Jindo, Keiji Endo, Takahiro Oki, Kazuo Sawada, Haruo Arai, Egidio Shimabukuro, Yosio Edemir Celes, Carlos Henrique Souza Campos, Moacir Alberto Assis Higuchi, Francisco Gasparetto Lima, Adriano José Nogueira Higuchi, Niro Kajimoto, Takuya Ishizuka, Moriyoshi |
Keywords: | Correlation Environmental Modeling Forest Canopy Height Determination Lidar Mapping Modis Spatial Distribution Amazonas |
Issue Date: | 2015 |
metadata.dc.publisher.journal: | International Journal of Applied Earth Observation and Geoinformation |
metadata.dc.relation.ispartof: | Volume 43, Pags. 92-101 |
Abstract: | 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. |
metadata.dc.identifier.doi: | 10.1016/j.jag.2015.04.003 |
Appears in Collections: | Artigos |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.