Tropical-Forest Biomass Estimation at X-Band From the Spaceborne TanDEM-X Interferometer.
Autor(a) principal: | |
---|---|
Data de Publicação: | 2014 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
Texto Completo: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/993983 |
Resumo: | This letter reports the sensitivity of X-band interferometric synthetic aperture radar (InSAR) data from the first dual-spacecraft radar interferometer, TanDEM-X, to variations in tropical-forest aboveground biomass (AGB). It also reports the first tropical-forest AGB estimates fromTanDEM-X data. Tropical forests account for about 50% of the world?s forested biomass and play critical roles in the control of atmospheric carbon dioxide by emission through deforestation and uptake through forest growth.The TanDEM-X InSAR data used in this analysis were taken over the Tapajós National Forest, Pará, Brazil, where field measurements from 30 stands were acquired. The magnitude of the InSAR normalized complex correlation, which is called coherence, decreases by about 25% as AGB increases from 2 to 430 Mg-ha−1, suggesting more vertically distributed return-power profiles with increasing biomass. Comparison of InSAR coherences to those of small-spot (15 cm) lidar suggests that lidar penetrates deeper into the canopies than InSAR. Modeling InSAR profiles from InSAR coherence and lidar profiles yields an estimate of 0.29 dB/m for the X-band extinction coefficient relative to that of lidar. Forest AGB estimated from InSAR observations on 0.25-ha plots shows RMS scatters about the field-estimated AGB between 52 and 62 Mg-ha−1, which is between 29% and 35% of the average AGB of 179 Mg-ha−1, depending on the data analysis mode. The sensitivity and biomass-estimation performance suggest the potential of TanDEM-X observations to contribute to global tropical-forest biomass monitoring. |
id |
EMBR_d4f28441206068c2a59f45af1b5324c5 |
---|---|
oai_identifier_str |
oai:www.alice.cnptia.embrapa.br:doc/993983 |
network_acronym_str |
EMBR |
network_name_str |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
repository_id_str |
2154 |
spelling |
Tropical-Forest Biomass Estimation at X-Band From the Spaceborne TanDEM-X Interferometer.Interferometric synthetic aperture radar (InSAR)Tropical forestBiomassLidarThis letter reports the sensitivity of X-band interferometric synthetic aperture radar (InSAR) data from the first dual-spacecraft radar interferometer, TanDEM-X, to variations in tropical-forest aboveground biomass (AGB). It also reports the first tropical-forest AGB estimates fromTanDEM-X data. Tropical forests account for about 50% of the world?s forested biomass and play critical roles in the control of atmospheric carbon dioxide by emission through deforestation and uptake through forest growth.The TanDEM-X InSAR data used in this analysis were taken over the Tapajós National Forest, Pará, Brazil, where field measurements from 30 stands were acquired. The magnitude of the InSAR normalized complex correlation, which is called coherence, decreases by about 25% as AGB increases from 2 to 430 Mg-ha−1, suggesting more vertically distributed return-power profiles with increasing biomass. Comparison of InSAR coherences to those of small-spot (15 cm) lidar suggests that lidar penetrates deeper into the canopies than InSAR. Modeling InSAR profiles from InSAR coherence and lidar profiles yields an estimate of 0.29 dB/m for the X-band extinction coefficient relative to that of lidar. Forest AGB estimated from InSAR observations on 0.25-ha plots shows RMS scatters about the field-estimated AGB between 52 and 62 Mg-ha−1, which is between 29% and 35% of the average AGB of 179 Mg-ha−1, depending on the data analysis mode. The sensitivity and biomass-estimation performance suggest the potential of TanDEM-X observations to contribute to global tropical-forest biomass monitoring.Artigo publicado por Pesquisador Visitante da Embrapa Monitoramento por Satélite.ROBERT TREUHAFT, CALIFORNIA INSTITUTE OF TECHNOLOGY; FABIO GONÇALVES, WOODS HOLE RESEARCH CENTER; JOÃO ROBERTO DOS SANTOS, INPE; MICHAEL KELLER, CNPM/INTERNATIONAL INSTITUTE OF TROPICAL FORESTRY; MICHAEL PALACE, UNIVERSITY OF NEW HAMPSHIRE; SOREN N. MADSEN, CALIFORNIA INSTITUTE OF TECHNOLOGY; FRANKLIN SULLIVAN, UNIVERSITY OF NEW HAMPHSIRE; PAULO M. L. A. GRAÇA, INPA.TREUHAFT, R.GONÇALVES, F.SANTOS, J. R. DOSKELLER, M.PALACE, M.MADSEN, S. N.SULLIVAN, F.GRAÇA, P. M. L. A.2014-09-02T11:11:11Z2014-09-02T11:11:11Z2014-09-0220142014-12-16T11:11:11Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlep. 239-243IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, v. 12, n. 2, feb. 2014.http://www.alice.cnptia.embrapa.br/alice/handle/doc/99398310.1109/LGRS.2014.2334140porinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2017-08-16T00:48:23Zoai:www.alice.cnptia.embrapa.br:doc/993983Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542017-08-16T00:48:23falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542017-08-16T00:48:23Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Tropical-Forest Biomass Estimation at X-Band From the Spaceborne TanDEM-X Interferometer. |
title |
Tropical-Forest Biomass Estimation at X-Band From the Spaceborne TanDEM-X Interferometer. |
spellingShingle |
Tropical-Forest Biomass Estimation at X-Band From the Spaceborne TanDEM-X Interferometer. TREUHAFT, R. Interferometric synthetic aperture radar (InSAR) Tropical forest Biomass Lidar |
title_short |
Tropical-Forest Biomass Estimation at X-Band From the Spaceborne TanDEM-X Interferometer. |
title_full |
Tropical-Forest Biomass Estimation at X-Band From the Spaceborne TanDEM-X Interferometer. |
title_fullStr |
Tropical-Forest Biomass Estimation at X-Band From the Spaceborne TanDEM-X Interferometer. |
title_full_unstemmed |
Tropical-Forest Biomass Estimation at X-Band From the Spaceborne TanDEM-X Interferometer. |
title_sort |
Tropical-Forest Biomass Estimation at X-Band From the Spaceborne TanDEM-X Interferometer. |
author |
TREUHAFT, R. |
author_facet |
TREUHAFT, R. GONÇALVES, F. SANTOS, J. R. DOS KELLER, M. PALACE, M. MADSEN, S. N. SULLIVAN, F. GRAÇA, P. M. L. A. |
author_role |
author |
author2 |
GONÇALVES, F. SANTOS, J. R. DOS KELLER, M. PALACE, M. MADSEN, S. N. SULLIVAN, F. GRAÇA, P. M. L. A. |
author2_role |
author author author author author author author |
dc.contributor.none.fl_str_mv |
ROBERT TREUHAFT, CALIFORNIA INSTITUTE OF TECHNOLOGY; FABIO GONÇALVES, WOODS HOLE RESEARCH CENTER; JOÃO ROBERTO DOS SANTOS, INPE; MICHAEL KELLER, CNPM/INTERNATIONAL INSTITUTE OF TROPICAL FORESTRY; MICHAEL PALACE, UNIVERSITY OF NEW HAMPSHIRE; SOREN N. MADSEN, CALIFORNIA INSTITUTE OF TECHNOLOGY; FRANKLIN SULLIVAN, UNIVERSITY OF NEW HAMPHSIRE; PAULO M. L. A. GRAÇA, INPA. |
dc.contributor.author.fl_str_mv |
TREUHAFT, R. GONÇALVES, F. SANTOS, J. R. DOS KELLER, M. PALACE, M. MADSEN, S. N. SULLIVAN, F. GRAÇA, P. M. L. A. |
dc.subject.por.fl_str_mv |
Interferometric synthetic aperture radar (InSAR) Tropical forest Biomass Lidar |
topic |
Interferometric synthetic aperture radar (InSAR) Tropical forest Biomass Lidar |
description |
This letter reports the sensitivity of X-band interferometric synthetic aperture radar (InSAR) data from the first dual-spacecraft radar interferometer, TanDEM-X, to variations in tropical-forest aboveground biomass (AGB). It also reports the first tropical-forest AGB estimates fromTanDEM-X data. Tropical forests account for about 50% of the world?s forested biomass and play critical roles in the control of atmospheric carbon dioxide by emission through deforestation and uptake through forest growth.The TanDEM-X InSAR data used in this analysis were taken over the Tapajós National Forest, Pará, Brazil, where field measurements from 30 stands were acquired. The magnitude of the InSAR normalized complex correlation, which is called coherence, decreases by about 25% as AGB increases from 2 to 430 Mg-ha−1, suggesting more vertically distributed return-power profiles with increasing biomass. Comparison of InSAR coherences to those of small-spot (15 cm) lidar suggests that lidar penetrates deeper into the canopies than InSAR. Modeling InSAR profiles from InSAR coherence and lidar profiles yields an estimate of 0.29 dB/m for the X-band extinction coefficient relative to that of lidar. Forest AGB estimated from InSAR observations on 0.25-ha plots shows RMS scatters about the field-estimated AGB between 52 and 62 Mg-ha−1, which is between 29% and 35% of the average AGB of 179 Mg-ha−1, depending on the data analysis mode. The sensitivity and biomass-estimation performance suggest the potential of TanDEM-X observations to contribute to global tropical-forest biomass monitoring. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014-09-02T11:11:11Z 2014-09-02T11:11:11Z 2014-09-02 2014 2014-12-16T11:11:11Z |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, v. 12, n. 2, feb. 2014. http://www.alice.cnptia.embrapa.br/alice/handle/doc/993983 10.1109/LGRS.2014.2334140 |
identifier_str_mv |
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, v. 12, n. 2, feb. 2014. 10.1109/LGRS.2014.2334140 |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/993983 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
p. 239-243 |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
instname_str |
Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
instacron_str |
EMBRAPA |
institution |
EMBRAPA |
reponame_str |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
collection |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
repository.name.fl_str_mv |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
cg-riaa@embrapa.br |
_version_ |
1794503393666924544 |