Tropical-forest biomass estimation at X-band from the spaceborne tandem-X interferometer
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 from TanDEM-X data. T...
| Autor principal: | Treuhaft, Robert N. |
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| Outros Autores: | Gonçalves, Fábio Guimarães, Santos, João Roberto dos, Keller, Michael, Palace, Michael W., Madsen, Søren Nørvang, Sullivan, Franklin B., Graça, Paulo Maurício Lima Alencastro de |
| Grau: | Artigo |
| Idioma: | English |
| Publicado em: |
IEEE Geoscience and Remote Sensing Letters
2020
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https://repositorio.inpa.gov.br/handle/1/17573 |
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oai:repositorio:1-17573 |
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oai:repositorio:1-17573 Tropical-forest biomass estimation at X-band from the spaceborne tandem-X interferometer Treuhaft, Robert N. Gonçalves, Fábio Guimarães Santos, João Roberto dos Keller, Michael Palace, Michael W. Madsen, Søren Nørvang Sullivan, Franklin B. Graça, Paulo Maurício Lima Alencastro de Atmospheric Chemistry Biomass Carbon Dioxide Deforestation Interferometers Optical Radar Sensitivity Analysis Tropics Aboveground Biomass Atmospheric Carbon Dioxide Biomass Estimation Biomass Monitoring Complex Correlation Extinction Coefficients Interferometric Synthetic Aperture Radars Tropical Forest Synthetic Aperture Radar 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 from TanDEM-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\ \hbox{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\ \hbox{Mg-ha}^{-1}, which is between 29% and 35% of the average AGB of 179\ \hbox{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. © 2004-2012 IEEE. 2020-06-15T21:48:20Z 2020-06-15T21:48:20Z 2015 Artigo https://repositorio.inpa.gov.br/handle/1/17573 10.1109/LGRS.2014.2334140 en Volume 12, Número 2, Pags. 239-243 Restrito IEEE Geoscience and Remote Sensing Letters |
| institution |
Instituto Nacional de Pesquisas da Amazônia - Repositório Institucional |
| collection |
INPA-RI |
| language |
English |
| topic |
Atmospheric Chemistry Biomass Carbon Dioxide Deforestation Interferometers Optical Radar Sensitivity Analysis Tropics Aboveground Biomass Atmospheric Carbon Dioxide Biomass Estimation Biomass Monitoring Complex Correlation Extinction Coefficients Interferometric Synthetic Aperture Radars Tropical Forest Synthetic Aperture Radar |
| spellingShingle |
Atmospheric Chemistry Biomass Carbon Dioxide Deforestation Interferometers Optical Radar Sensitivity Analysis Tropics Aboveground Biomass Atmospheric Carbon Dioxide Biomass Estimation Biomass Monitoring Complex Correlation Extinction Coefficients Interferometric Synthetic Aperture Radars Tropical Forest Synthetic Aperture Radar Treuhaft, Robert N. Tropical-forest biomass estimation at X-band from the spaceborne tandem-X interferometer |
| topic_facet |
Atmospheric Chemistry Biomass Carbon Dioxide Deforestation Interferometers Optical Radar Sensitivity Analysis Tropics Aboveground Biomass Atmospheric Carbon Dioxide Biomass Estimation Biomass Monitoring Complex Correlation Extinction Coefficients Interferometric Synthetic Aperture Radars Tropical Forest Synthetic Aperture Radar |
| 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 from TanDEM-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\ \hbox{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\ \hbox{Mg-ha}^{-1}, which is between 29% and 35% of the average AGB of 179\ \hbox{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. © 2004-2012 IEEE. |
| format |
Artigo |
| author |
Treuhaft, Robert N. |
| author2 |
Gonçalves, Fábio Guimarães Santos, João Roberto dos Keller, Michael Palace, Michael W. Madsen, Søren Nørvang Sullivan, Franklin B. Graça, Paulo Maurício Lima Alencastro de |
| author2Str |
Gonçalves, Fábio Guimarães Santos, João Roberto dos Keller, Michael Palace, Michael W. Madsen, Søren Nørvang Sullivan, Franklin B. Graça, Paulo Maurício Lima Alencastro de |
| title |
Tropical-forest biomass estimation at X-band from the spaceborne tandem-X interferometer |
| 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 |
| publisher |
IEEE Geoscience and Remote Sensing Letters |
| publishDate |
2020 |
| url |
https://repositorio.inpa.gov.br/handle/1/17573 |
| _version_ |
1787142602976395264 |
| score |
11.653393 |