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Registros recuperados : 4 | |
1. | | TREUHAFT, R.; GONÇALVES, F.; SANTOS, J. R. DOS; KELLER, M.; PALACE, M.; MADSEN, S. N.; SULLIVAN, F.; GRAÇA, P. M. L. A. Tropical-Forest Biomass Estimation at X-Band From the Spaceborne TanDEM-X Interferometer. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, v. 12, n. 2, feb. 2014. p. 239-243 Artigo publicado por Pesquisador Visitante da Embrapa Monitoramento por Satélite. Biblioteca(s): Embrapa Territorial. |
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2. | | SILVA, C. V. J.; ARAGÃO, L. E. O. C.; BARLOW, J.; ESPIRITO-SANTO, F.; YOUNG, P. J.; ANDERSON, L. O.; BERENGUER, E.; BRASIL, I.; BROWN, I. F.; CASTRO, B.; FARIAS, R.; FERREIRA, J. N.; FRANÇA, F.; GRAÇA, P. M. L. A.; KIRSTEN, L.; LOPES, A. P.; SALIMON, C.; SCARANELLO, M. A.; SEIXAS, M.; SOUZA, F. C.; XAUD, H. A. M. Drought-induced Amazonian wildfires instigate a decadal-scale disruption of forest carbon dynamics. Philosophical Transactions of the Royal Society B, v. 373, n. 1760, p. 1-12, Nov. 2018. Biblioteca(s): Embrapa Amazônia Oriental; Embrapa Roraima. |
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3. | | SILVA, C. V. J.; ARAGÃO, L. E. O. C.; YOUNG, P. J.; ESPIRITO-SANTO, F.; BERENGUER, E.; ANDERSON, L. O.; BRASIL, I.; PONTES-LOPES, A.; FERREIRA, J. N.; WITHEY, K.; FRANÇA, F.; GRAÇA, P. M. L. A.; KIRSTEN, L.; XAUD, H. A. M.; SALIMON, C.; SCARANELLO, M. A.; CASTRO, B.; SEIXAS, M.; FARIAS, R.; BARLOW, J. Estimating the multi-decadal carbon deficit of burned Amazonian forests. Environmental Research Letters, v. 15, Article 114023, 2020. Biblioteca(s): Embrapa Amazônia Oriental; Embrapa Roraima. |
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4. | | SOUSA, T. R.; SCHIETTI, J.; RIBEIRO, I. O.; EMILIO, T.; FERNANDEZ, R. H.; TER STEEGE, H.; CASTILHO, C. V. de; ESQUIVEL-MUELBERT, A.; BAKER, T.; PONTES-LOPES, A.; SILVA, C. V. J.; SILVEIRA, J. M.; DERROIRE, G.; CASTRO, W.; MENDOZA, A. M.; RUSCHEL, A. R.; PRIETO, A.; LIMA, A. J. N.; RUDAS, A.; ARAUJO-MURAKAMI, A.; GUTIERREZ, A. P.; ANDRADE, A.; ROOPSIND, A.; MANZATTO, A. G.; DI FIORE, A.; TORRES-LEZAMA, A.; DOURDAIN, A.; MARIMON, B.; MARIMON, B. H.; BURBAN, B.; VAN ULFT, B.; HERAULT, B.; QUESADA, C.; MENDOZA, C.; STAHL, C.; BONAL, D.; GALBRAITH, D.; NEILL, D.; OLIVEIRA, E. A. de; HASE, E.; JIMENEZ-ROJAS, E.; VILANOVA, E.; ARETS, E.; BERENGUER, E.; ALVAREZ-DAVILA, E.; CORONADO, E. N. H.; ALMEIDA, E.; COELHO, F.; VALVERDE, F. C.; ELIAS, F.; BROWN, F.; BONGERS, F.; AREVALO, F. R.; LOPEZ-GONZALEZ, G.; VAN DER HEIJDEN, G.; AYMARD C., G. A.; LLAMPAZO, G. F.; PARDO, G.; RAMIREZ-ANGULO, H.; AMARAL, I. L. do; VIEIRA, I. C. G.; HUAMANTUPA-CHUQUIMACO, I.; COMISKEY, J. A.; SINGH, J.; ESPEJO, J. S.; DEL AGUILA-PASQUEL, J.; ZWERTS, J. A.; TALBOT, J.; TERBORGH, J.; FERREIRA, J. N.; BARROSO, J. G.; BARLOW, J.; CAMARGO, J. L.; STROPP, J.; PEACOCK, J.; SERRANO, J.; MELGACO, K.; FERREIRA, L. V.; BLANC, L.; POORTER, L.; GAMARRA, L. V.; ARAGAO, L.; ARROYO, L.; SILVEIRA, M.; PENUELA-MORA, M. C.; VARGAS, M. P. N.; TOLEDO, M.; DISNEY, M.; REJOU-MECHAIN, M.; BAISIE, M.; KALAMANDEEN, M.; CAMACHO, N. P.; CARDOZO, N. D.; SILVA, N.; PITMAN, N.; HIGUCHI, N.; BANKI, O.; LOAYZA, P. A.; GRACA, P. M. L. A.; MORANDI, P. S.; VAN DER MEER, P. J.; VAN DER HOUT, P.; NAISSO, P.; CAMARGO, P. B.; SALOMAO, R.; THOMAS, R.; BOOT, R.; UMETSU, R. K.; SILVA, R. da C.; BURNHAM, R.; ZAGT, R.; MARTINEZ, R. V.; BRIENEN, R.; RIBEIRO, S. C.; LEWIS, S. L.; VIEIRA, S. A.; REIS, S. M. de A.; FAUSET, S.; LAURANCE, S.; FELDPAUSCH, T.; ERWIN, T.; KILLEEN, T.; WORTEL, V.; MOSCOSO, V. C.; VOS, V.; HUASCO, W. H.; LAURANCE, W.; MALHI, Y.; MAGNUSSON, W. E.; PHILLIPS, O. L.; COSTA, F. R. C. Water table depth modulates productivity and biomass across Amazonian forests. Global Ecology and Biogeography. v. 3, p. 1571?1588, 2022. Biblioteca(s): Embrapa Amazônia Oriental; Embrapa Roraima. |
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Registros recuperados : 4 | |
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Registro Completo
Biblioteca(s): |
Embrapa Territorial. |
Data corrente: |
02/09/2014 |
Data da última atualização: |
16/12/2014 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
TREUHAFT, R.; GONÇALVES, F.; SANTOS, J. R. DOS; KELLER, M.; PALACE, M.; MADSEN, S. N.; SULLIVAN, F.; GRAÇA, P. M. L. A. |
Afiliação: |
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. |
Título: |
Tropical-Forest Biomass Estimation at X-Band From the Spaceborne TanDEM-X Interferometer. |
Ano de publicação: |
2014 |
Fonte/Imprenta: |
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, v. 12, n. 2, feb. 2014. |
Páginas: |
p. 239-243 |
DOI: |
10.1109/LGRS.2014.2334140 |
Idioma: |
Português |
Notas: |
Artigo publicado por Pesquisador Visitante da Embrapa Monitoramento por Satélite. |
Conteúdo: |
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. MenosThis 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 perfor... Mostrar Tudo |
Palavras-Chave: |
Interferometric synthetic aperture radar (InSAR); Tropical forest. |
Thesaurus NAL: |
Biomass; Lidar. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/107606/1/4016.pdf
|
Marc: |
LEADER 02545naa a2200289 a 4500 001 1993983 005 2014-12-16 008 2014 bl uuuu u00u1 u #d 024 7 $a10.1109/LGRS.2014.2334140$2DOI 100 1 $aTREUHAFT, R. 245 $aTropical-Forest Biomass Estimation at X-Band From the Spaceborne TanDEM-X Interferometer.$h[electronic resource] 260 $c2014 300 $ap. 239-243 500 $aArtigo publicado por Pesquisador Visitante da Embrapa Monitoramento por Satélite. 520 $aThis 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. 650 $aBiomass 650 $aLidar 653 $aInterferometric synthetic aperture radar (InSAR) 653 $aTropical forest 700 1 $aGONÇALVES, F. 700 1 $aSANTOS, J. R. DOS 700 1 $aKELLER, M. 700 1 $aPALACE, M. 700 1 $aMADSEN, S. N. 700 1 $aSULLIVAN, F. 700 1 $aGRAÇA, P. M. L. A. 773 $tIEEE GEOSCIENCE AND REMOTE SENSING LETTERS$gv. 12, n. 2, feb. 2014.
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