A new 500-m resolution map of canopy height for Amazon forest using spaceborne LiDAR and cloud-free MODIS imagery

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

Artigo

A new 500-m resolution map of canopy height for Amazon forest using spaceborne LiDAR and cloud-free MODIS imagery

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...

ver descrição completa

Autor principal:	Sawada, Yoshito
Outros Autores:	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
Grau:	Artigo
Idioma:	English
Publicado em:	International Journal of Applied Earth Observation and Geoinformation 2020
Assuntos:	Correlation Environmental Modeling Forest Canopy Height Determination Lidar Mapping Modis Spatial Distribution Amazonas Brasil
Acesso em linha:	https://repositorio.inpa.gov.br/handle/1/15948

id	oai:repositorio:1-15948
recordtype	dspace
spelling	oai:repositorio:1-15948 A new 500-m resolution map of canopy height for Amazon forest using spaceborne LiDAR and cloud-free MODIS imagery 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 Correlation Environmental Modeling Forest Canopy Height Determination Lidar Mapping Modis Spatial Distribution Amazonas Brasil 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. 2020-05-20T21:24:17Z 2020-05-20T21:24:17Z 2015 Artigo https://repositorio.inpa.gov.br/handle/1/15948 10.1016/j.jag.2015.04.003 en Volume 43, Pags. 92-101 Restrito International Journal of Applied Earth Observation and Geoinformation
institution	Instituto Nacional de Pesquisas da Amazônia - Repositório Institucional
collection	INPA-RI
language	English
topic	Correlation Environmental Modeling Forest Canopy Height Determination Lidar Mapping Modis Spatial Distribution Amazonas Brasil
spellingShingle	Correlation Environmental Modeling Forest Canopy Height Determination Lidar Mapping Modis Spatial Distribution Amazonas Brasil Sawada, Yoshito A new 500-m resolution map of canopy height for Amazon forest using spaceborne LiDAR and cloud-free MODIS imagery
topic_facet	Correlation Environmental Modeling Forest Canopy Height Determination Lidar Mapping Modis Spatial Distribution Amazonas Brasil
description	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.
format	Artigo
author	Sawada, Yoshito
author2	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
author2Str	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
title	A new 500-m resolution map of canopy height for Amazon forest using spaceborne LiDAR and cloud-free MODIS imagery
title_short	A new 500-m resolution map of canopy height for Amazon forest using spaceborne LiDAR and cloud-free MODIS imagery
title_full	A new 500-m resolution map of canopy height for Amazon forest using spaceborne LiDAR and cloud-free MODIS imagery
title_fullStr	A new 500-m resolution map of canopy height for Amazon forest using spaceborne LiDAR and cloud-free MODIS imagery
title_full_unstemmed	A new 500-m resolution map of canopy height for Amazon forest using spaceborne LiDAR and cloud-free MODIS imagery
title_sort	new 500-m resolution map of canopy height for amazon forest using spaceborne lidar and cloud-free modis imagery
publisher	International Journal of Applied Earth Observation and Geoinformation
publishDate	2020
url	https://repositorio.inpa.gov.br/handle/1/15948
_version_	1787141476920066048
score	11.653393

A new 500-m resolution map of canopy height for Amazon forest using spaceborne LiDAR and cloud-free MODIS imagery

Registros relacionados