@Article{SawadaSJEOSASCCHLHKI:2015:Ne50Re,
author = "Sawada, Yoshito and Suwa, Rempei and Jindo, Keiji and Endo,
Takahiro and Oki, Kazuo and Sawada, Haruo and Arai, Egidio and
Shimabukuro, Yosio Edemir and Celes, Carlos Henrique Souza and
Campos, Moarcir Alberto Assis and Higuchi, Francisco Gasparetto
and Lima, Adriano Jos{\'e} Nogueira and Higuchi, Niro and
Kajimoto, Takuya and Ishizuka, Moriyoshi",
affiliation = "Institute of Industrial Science (IIS), The University of Tokyo,
Meguro, Tokyo, Japan and Forestry and Forest Products Research
Institute (FFPRI), Tsukuba, Ibaraki, Japan and Institute of
Industrial Science (IIS), The University of Tokyo, Meguro, Tokyo,
Japan and {University of Kyoto} and Institute of Industrial
Science (IIS), The University of Tokyo, Meguro, Tokyo, Japan and
Institute of Industrial Science (IIS), The University of Tokyo,
Meguro, Tokyo, Japan and {Instituto Nacional de Pesquisas
Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais
(INPE)} and {Instituto Nacional de Pesquisas da Amaz{\^o}nia
(INPA)} and {Instituto Nacional de Pesquisas da Amaz{\^o}nia
(INPA)} and {Instituto Nacional de Pesquisas da Amaz{\^o}nia
(INPA)} and {Instituto Nacional de Pesquisas da Amaz{\^o}nia
(INPA)} and {Instituto Nacional de Pesquisas da Amaz{\^o}nia
(INPA)} and {Forestry \& Forest Prod Resesarh Institute} and
Forestry and Forest Products Research Institute (FFPRI), Tsukuba,
Ibaraki, Japan",
title = "A new 500-m resolution map of canopy height for Amazon forest
using spaceborne LiDAR and cloud-free MODIS imagery",
journal = "International Journal of Applied Earth Observation and
Geoinformation",
year = "2015",
volume = "43",
pages = "92--101",
month = "Dec.",
keywords = "Canopy height mapping, Amazon forest, ICESat/GLAS, MODIS, D-H
model.",
abstract = "In 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.",
doi = "10.1016/j.jag.2015.04.003",
url = "http://dx.doi.org/10.1016/j.jag.2015.04.003",
issn = "0303-2434",
language = "en",
targetfile = "2015_sawada.pdf",
urlaccessdate = "27 abr. 2024"
}