STRUCTURAL CHARACTERIZATION OF CANOPIES OF Eucalyptus spp. USING RADIOMETRIC DATA FROM TM/Landsat 5
Autor(a) principal: | |
---|---|
Data de Publicação: | 2016 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Cerne (Online) |
Texto Completo: | https://cerne.ufla.br/site/index.php/CERNE/article/view/804 |
Resumo: | Empirical approaches and, more recently, physical approaches, have grounded the establishment of logical connections between radiometric variables derived from remote data and biophysical variables derived from vegetation cover. This study was aimed at evaluating correlations of dendrometric and density data from canopies of Eucalyptus spp., as collected in Capão Bonito forest unit, with radiometric data from imagery acquired by the TM/Landsat-5 sensor on two orbital passages over the study site (dates close to fi eld data collection). Results indicate that stronger correlations were identifi ed between crown dimensions and canopy height with near-infrared spectral band data (ρs4), irrespective of the satellite passage date. Estimates of spatial distribution of dendrometric data and canopy density (D) using spectral characterization were consistent with the spatial distribution of tree ages during the study period. Statistical tests were applied to evaluate performance disparities of empirical models depending on which date data were acquired. Results indicated a signifi cant difference between models based on distinct data acquisition dates. |
id |
UFLA-3_e3f4cce3f9c0c82f2b5e6558bb968649 |
---|---|
oai_identifier_str |
oai:cerne.ufla.br:article/804 |
network_acronym_str |
UFLA-3 |
network_name_str |
Cerne (Online) |
repository_id_str |
|
spelling |
STRUCTURAL CHARACTERIZATION OF CANOPIES OF Eucalyptus spp. USING RADIOMETRIC DATA FROM TM/Landsat 5Spectral characterizationestimate of biophysical datacanopy refl ectance.Empirical approaches and, more recently, physical approaches, have grounded the establishment of logical connections between radiometric variables derived from remote data and biophysical variables derived from vegetation cover. This study was aimed at evaluating correlations of dendrometric and density data from canopies of Eucalyptus spp., as collected in Capão Bonito forest unit, with radiometric data from imagery acquired by the TM/Landsat-5 sensor on two orbital passages over the study site (dates close to fi eld data collection). Results indicate that stronger correlations were identifi ed between crown dimensions and canopy height with near-infrared spectral band data (ρs4), irrespective of the satellite passage date. Estimates of spatial distribution of dendrometric data and canopy density (D) using spectral characterization were consistent with the spatial distribution of tree ages during the study period. Statistical tests were applied to evaluate performance disparities of empirical models depending on which date data were acquired. Results indicated a signifi cant difference between models based on distinct data acquisition dates.CERNECERNE2016-04-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://cerne.ufla.br/site/index.php/CERNE/article/view/804CERNE; Vol. 18 No. 1 (2012); 105-116CERNE; v. 18 n. 1 (2012); 105-1162317-63420104-7760reponame:Cerne (Online)instname:Universidade Federal de Lavras (UFLA)instacron:UFLAenghttps://cerne.ufla.br/site/index.php/CERNE/article/view/804/586Copyright (c) 2016 CERNEinfo:eu-repo/semantics/openAccessPacheco, Ludmila Roque FerrazPonzoni, Flávio JorgeSantos, Sandra Benfica dosAndrades Filho, Clódis de OliveiraMello, Márcio PupinCampos, Rogério Costa2016-04-05T09:54:12Zoai:cerne.ufla.br:article/804Revistahttps://cerne.ufla.br/site/index.php/CERNEPUBhttps://cerne.ufla.br/site/index.php/CERNE/oaicerne@dcf.ufla.br||cerne@dcf.ufla.br2317-63420104-7760opendoar:2024-05-21T19:54:05.278799Cerne (Online) - Universidade Federal de Lavras (UFLA)true |
dc.title.none.fl_str_mv |
STRUCTURAL CHARACTERIZATION OF CANOPIES OF Eucalyptus spp. USING RADIOMETRIC DATA FROM TM/Landsat 5 |
title |
STRUCTURAL CHARACTERIZATION OF CANOPIES OF Eucalyptus spp. USING RADIOMETRIC DATA FROM TM/Landsat 5 |
spellingShingle |
STRUCTURAL CHARACTERIZATION OF CANOPIES OF Eucalyptus spp. USING RADIOMETRIC DATA FROM TM/Landsat 5 Pacheco, Ludmila Roque Ferraz Spectral characterization estimate of biophysical data canopy refl ectance. |
title_short |
STRUCTURAL CHARACTERIZATION OF CANOPIES OF Eucalyptus spp. USING RADIOMETRIC DATA FROM TM/Landsat 5 |
title_full |
STRUCTURAL CHARACTERIZATION OF CANOPIES OF Eucalyptus spp. USING RADIOMETRIC DATA FROM TM/Landsat 5 |
title_fullStr |
STRUCTURAL CHARACTERIZATION OF CANOPIES OF Eucalyptus spp. USING RADIOMETRIC DATA FROM TM/Landsat 5 |
title_full_unstemmed |
STRUCTURAL CHARACTERIZATION OF CANOPIES OF Eucalyptus spp. USING RADIOMETRIC DATA FROM TM/Landsat 5 |
title_sort |
STRUCTURAL CHARACTERIZATION OF CANOPIES OF Eucalyptus spp. USING RADIOMETRIC DATA FROM TM/Landsat 5 |
author |
Pacheco, Ludmila Roque Ferraz |
author_facet |
Pacheco, Ludmila Roque Ferraz Ponzoni, Flávio Jorge Santos, Sandra Benfica dos Andrades Filho, Clódis de Oliveira Mello, Márcio Pupin Campos, Rogério Costa |
author_role |
author |
author2 |
Ponzoni, Flávio Jorge Santos, Sandra Benfica dos Andrades Filho, Clódis de Oliveira Mello, Márcio Pupin Campos, Rogério Costa |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Pacheco, Ludmila Roque Ferraz Ponzoni, Flávio Jorge Santos, Sandra Benfica dos Andrades Filho, Clódis de Oliveira Mello, Márcio Pupin Campos, Rogério Costa |
dc.subject.por.fl_str_mv |
Spectral characterization estimate of biophysical data canopy refl ectance. |
topic |
Spectral characterization estimate of biophysical data canopy refl ectance. |
description |
Empirical approaches and, more recently, physical approaches, have grounded the establishment of logical connections between radiometric variables derived from remote data and biophysical variables derived from vegetation cover. This study was aimed at evaluating correlations of dendrometric and density data from canopies of Eucalyptus spp., as collected in Capão Bonito forest unit, with radiometric data from imagery acquired by the TM/Landsat-5 sensor on two orbital passages over the study site (dates close to fi eld data collection). Results indicate that stronger correlations were identifi ed between crown dimensions and canopy height with near-infrared spectral band data (ρs4), irrespective of the satellite passage date. Estimates of spatial distribution of dendrometric data and canopy density (D) using spectral characterization were consistent with the spatial distribution of tree ages during the study period. Statistical tests were applied to evaluate performance disparities of empirical models depending on which date data were acquired. Results indicated a signifi cant difference between models based on distinct data acquisition dates. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-04-04 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://cerne.ufla.br/site/index.php/CERNE/article/view/804 |
url |
https://cerne.ufla.br/site/index.php/CERNE/article/view/804 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://cerne.ufla.br/site/index.php/CERNE/article/view/804/586 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2016 CERNE info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2016 CERNE |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
CERNE CERNE |
publisher.none.fl_str_mv |
CERNE CERNE |
dc.source.none.fl_str_mv |
CERNE; Vol. 18 No. 1 (2012); 105-116 CERNE; v. 18 n. 1 (2012); 105-116 2317-6342 0104-7760 reponame:Cerne (Online) instname:Universidade Federal de Lavras (UFLA) instacron:UFLA |
instname_str |
Universidade Federal de Lavras (UFLA) |
instacron_str |
UFLA |
institution |
UFLA |
reponame_str |
Cerne (Online) |
collection |
Cerne (Online) |
repository.name.fl_str_mv |
Cerne (Online) - Universidade Federal de Lavras (UFLA) |
repository.mail.fl_str_mv |
cerne@dcf.ufla.br||cerne@dcf.ufla.br |
_version_ |
1799874941547446272 |