Approach for Forest Height Extraction Using Multi-baseline Interferometric Tomographic SAR

LI Wen-mei; CHEN Er-xue; LI Zeng-yuan

Volume 27 Issue 6

Article Contents

Turn off MathJax

Article Navigation > Forest Research > 2014 > 27(6): 815-821

Citation:

Approach for Forest Height Extraction Using Multi-baseline Interferometric Tomographic SAR

1.
Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China
2.
School of Geography and Biological Information, Nanjing University of Posts and Telecommunications, Nanjing 210046, Jiangsu, China

Received Date: 2013-06-20

Abstract

Applying P-band multibaseline InSAR data from BioSAR 2007 campaign in Raminstorp test site in Sweden by Multi-baseline Interferometric Tomographic SAR (MBInTomo SAR) technique to extract forest vertical structure information and estimate forest height from them, and validating the forest height with in situ data. The results showed that the values of R2 were 0.65, 0.55, 0.34, the values of RMSE were 2.35 m, 3.27 m, 5.13 m and the values of correlation coefficient (R) were 0.80, 0.74, 0.58 among the estimated forest heights using HH, HV and VV MBInTom SAR and Lidar H80, respectively. The conclusion is that the P-band multi-baseline InSAR data can be used for forest vertical structure information extraction and forest height estimation. And traditional forest scattering model and forest height estimation approach may not be suitable for P-band.
- MBInTomo SAR,
- forest vertical structure,
- forest height,
- Capon spectrum

References

[1]	Anderson J H, Weber K T, Gokhale B, et al. Intercalibration and Evaluation of ResourceSat-1 and Landsat-5 NDVI. Canadian [J]. Journal of Remote Sensing, 2011, 37(2): 213-219.
[2]	Fensholt R, Proud S R. Evaluation of Earth Observation based global long term vegetation trends―Comparing GIMMS and MODIS global NDVI time series[J]. Remote Sensing of Environment, 2012, 119: 131-147.
[3]	Wang Q, Tenhunen J, Dinh N Q, et al. Similarities in ground-and satellite-based NDVI time series and their relationship to physiological activity of a Scots pine forest in Finland[J]. Remote Sensing of Environment, 2004, 93(1): 225-237.
[4]	Zhao D, Huang L, Li J, et al. A comparative analysis of broadband and narrowband derived vegetation indices in predicting LAI and CCD of a cotton canopy[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2007, 62(1): 25-33.
[5]	Meroni M, Atzberger C, Vancutsem C, et al. Evaluation of agreement between space remote sensing SPOT-VEGETATION fAPAR time series[J]. IEEE Transactions on Geoscience and Remote Sensing, 2013, 41(4): 1951-1961.
[6]	Raleigh M S, Rittger K, Moore C E, et al. Ground-based testing of MODIS fractional snow cover in subalpine meadows and forests of the Sierra Nevada[J]. Remote Sensing of Environment, 2013, 128: 44-57.
[7]	Steininger M. Satellite estimation of tropical secondary forest above-ground biomass: data from Brazil and Bolivia[J]. International Journal of Remote Sensing, 2000, 21(6-7): 1139-1157.
[8]	Papathanassiou K, Moreira J. Interferometric analysis of multifrequency and multipolarization SAR data[C]. Geoscience and Remote Sensing Symposium, 1996. IGARSS'96.'Remote Sensing for a Sustainable Future.', International,1996, IEEE.
[9]	Cloude S R, Papathanassiou K P. Polarimetric SAR interferometry[J]. Geoscience and Remote Sensing, IEEE Transactions on, 1998, 36(5): 1551-1565.
[10]	Ferro-Famil L, López-Martínez C, Pottier E. Analysis of Natural Scene Properties from POLinSAR Data Using Coherence Set Statistics and a Multi-Dimensional Speckle Model. Geoscience and Remote Sensing Symposium, 2006. IGARSS 2006. IEEE International Conference on,2006, IEEE.
[11]	Neumann M, Ferro-Famil L, Reigber A. Polarimetric Coherence Optimization for Multibaseline SAR Data[M]. ESA Special Publication,2007.
[12]	Colin E, Titin-Schnaider C,Tabbara W. An interferometric coherence optimization method in radar polarimetry for high-resolution imagery[J]. Geoscience and Remote Sensing, IEEE Transactions on, 2006, 44(1): 167-175.
[13]	Tabb M, Orrey J, Flynn, et al. Phase diversity: a decomposition for vegetation parameter estimation using polarimetric SAR interferometry[C]. Proc. EUSAR,2002.
[14]	Yamada H, Yamaguchi Y, Yunjin K, et al. Polarimetric SAR interferometry for forest analysis based on the ESPRIT algorithm[J]. IEICETransactions on Electronics, 2001, 84(12): 1917-1924.
[15]	Treuhaft R N, Madsen S N, Moghaddam M, et al. Vegetation characteristics and underlying topography from interferometric radar[J]. Radio Science, 1996, 31(6): 1449-1485.
[16]	Huang Y, Ferro-Famil L, Reigber A. Under-foliage object imaging using SAR tomography and polarimetric spectral estimators[J]. Geoscience and Remote Sensing, IEEE Transactions on, 2012, 50(6): 2213-2225.
[17]	Tebaldini S, D'Alessandro M M, Monti Guarnieri A, et al. Polarimetric and structural properties of forest scenarios as imaged by longer wavelength SARS. Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International,2010, IEEE.
[18]	Treuhaft R N, Chapman B D, Dos Santos J, et al. Vegetation profiles in tropical forests from multibaseline interferometric synthetic aperture radar, field, and lidar measurements[J]. Journal of Geophysical Research: Atmospheres (1984—2012), 2009, 114(D23).
[19]	Ishimaru A, Chan T-K, Kuga Y. An imaging technique using confocal circular synthetic aperture radar[J]. Geoscience and Remote Sensing, IEEE Transactions on, 1998, 36(5): 1524-1530.
[20]	Holecz F, Moreira J, Pasquali P, et al. Height model generation, automatic geocoding and a mosaicing using airborne AeS-1 InSAR data. Geoscience and Remote Sensing, 1997. IGARSS'97. Remote Sensing-A Scientific Vision for Sustainable Development., 1997 IEEE International,1997, IEEE.
[21]	Reigber A, Moreira A. First demonstration of airborne SAR tomography using multibaseline L-band data[J]. Geoscience and Remote Sensing, IEEE Transactions on, 2000, 38(5): 2142-2152.
[22]	Stefano Tebaldinia F R. Single and Multipolarimetric SAR Tomography of Forested Areas: A Parametric Approach[J]. IEEE Transactions on Geoscience and Remote Sensing, 2010, 48(5): 2375-2387.

Proportional views

通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

Get Citation

PDF

XML

Article views(3217) PDF downloads(1197) Cited by()

Proportional views

Approach for Forest Height Extraction Using Multi-baseline Interferometric Tomographic SAR

1. Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China

2. School of Geography and Biological Information, Nanjing University of Posts and Telecommunications, Nanjing 210046, Jiangsu, China

Received Date: 2013-06-20

Abstract: Applying P-band multibaseline InSAR data from BioSAR 2007 campaign in Raminstorp test site in Sweden by Multi-baseline Interferometric Tomographic SAR (MBInTomo SAR) technique to extract forest vertical structure information and estimate forest height from them, and validating the forest height with in situ data. The results showed that the values of R2 were 0.65, 0.55, 0.34, the values of RMSE were 2.35 m, 3.27 m, 5.13 m and the values of correlation coefficient (R) were 0.80, 0.74, 0.58 among the estimated forest heights using HH, HV and VV MBInTom SAR and Lidar H80, respectively. The conclusion is that the P-band multi-baseline InSAR data can be used for forest vertical structure information extraction and forest height estimation. And traditional forest scattering model and forest height estimation approach may not be suitable for P-band.

HTML

Reference (22)

[1]	Anderson J H, Weber K T, Gokhale B, et al. Intercalibration and Evaluation of ResourceSat-1 and Landsat-5 NDVI. Canadian [J]. Journal of Remote Sensing, 2011, 37(2): 213-219.
[2]	Fensholt R, Proud S R. Evaluation of Earth Observation based global long term vegetation trends―Comparing GIMMS and MODIS global NDVI time series[J]. Remote Sensing of Environment, 2012, 119: 131-147.
[3]	Wang Q, Tenhunen J, Dinh N Q, et al. Similarities in ground-and satellite-based NDVI time series and their relationship to physiological activity of a Scots pine forest in Finland[J]. Remote Sensing of Environment, 2004, 93(1): 225-237.
[4]	Zhao D, Huang L, Li J, et al. A comparative analysis of broadband and narrowband derived vegetation indices in predicting LAI and CCD of a cotton canopy[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2007, 62(1): 25-33.
[5]	Meroni M, Atzberger C, Vancutsem C, et al. Evaluation of agreement between space remote sensing SPOT-VEGETATION fAPAR time series[J]. IEEE Transactions on Geoscience and Remote Sensing, 2013, 41(4): 1951-1961.
[6]	Raleigh M S, Rittger K, Moore C E, et al. Ground-based testing of MODIS fractional snow cover in subalpine meadows and forests of the Sierra Nevada[J]. Remote Sensing of Environment, 2013, 128: 44-57.
[7]	Steininger M. Satellite estimation of tropical secondary forest above-ground biomass: data from Brazil and Bolivia[J]. International Journal of Remote Sensing, 2000, 21(6-7): 1139-1157.
[8]	Papathanassiou K, Moreira J. Interferometric analysis of multifrequency and multipolarization SAR data[C]. Geoscience and Remote Sensing Symposium, 1996. IGARSS'96.'Remote Sensing for a Sustainable Future.', International,1996, IEEE.
[9]	Cloude S R, Papathanassiou K P. Polarimetric SAR interferometry[J]. Geoscience and Remote Sensing, IEEE Transactions on, 1998, 36(5): 1551-1565.
[10]	Ferro-Famil L, López-Martínez C, Pottier E. Analysis of Natural Scene Properties from POLinSAR Data Using Coherence Set Statistics and a Multi-Dimensional Speckle Model. Geoscience and Remote Sensing Symposium, 2006. IGARSS 2006. IEEE International Conference on,2006, IEEE.
[11]	Neumann M, Ferro-Famil L, Reigber A. Polarimetric Coherence Optimization for Multibaseline SAR Data[M]. ESA Special Publication,2007.
[12]	Colin E, Titin-Schnaider C,Tabbara W. An interferometric coherence optimization method in radar polarimetry for high-resolution imagery[J]. Geoscience and Remote Sensing, IEEE Transactions on, 2006, 44(1): 167-175.
[13]	Tabb M, Orrey J, Flynn, et al. Phase diversity: a decomposition for vegetation parameter estimation using polarimetric SAR interferometry[C]. Proc. EUSAR,2002.
[14]	Yamada H, Yamaguchi Y, Yunjin K, et al. Polarimetric SAR interferometry for forest analysis based on the ESPRIT algorithm[J]. IEICETransactions on Electronics, 2001, 84(12): 1917-1924.
[15]	Treuhaft R N, Madsen S N, Moghaddam M, et al. Vegetation characteristics and underlying topography from interferometric radar[J]. Radio Science, 1996, 31(6): 1449-1485.
[16]	Huang Y, Ferro-Famil L, Reigber A. Under-foliage object imaging using SAR tomography and polarimetric spectral estimators[J]. Geoscience and Remote Sensing, IEEE Transactions on, 2012, 50(6): 2213-2225.
[17]	Tebaldini S, D'Alessandro M M, Monti Guarnieri A, et al. Polarimetric and structural properties of forest scenarios as imaged by longer wavelength SARS. Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International,2010, IEEE.
[18]	Treuhaft R N, Chapman B D, Dos Santos J, et al. Vegetation profiles in tropical forests from multibaseline interferometric synthetic aperture radar, field, and lidar measurements[J]. Journal of Geophysical Research: Atmospheres (1984—2012), 2009, 114(D23).
[19]	Ishimaru A, Chan T-K, Kuga Y. An imaging technique using confocal circular synthetic aperture radar[J]. Geoscience and Remote Sensing, IEEE Transactions on, 1998, 36(5): 1524-1530.
[20]	Holecz F, Moreira J, Pasquali P, et al. Height model generation, automatic geocoding and a mosaicing using airborne AeS-1 InSAR data. Geoscience and Remote Sensing, 1997. IGARSS'97. Remote Sensing-A Scientific Vision for Sustainable Development., 1997 IEEE International,1997, IEEE.
[21]	Reigber A, Moreira A. First demonstration of airborne SAR tomography using multibaseline L-band data[J]. Geoscience and Remote Sensing, IEEE Transactions on, 2000, 38(5): 2142-2152.
[22]	Stefano Tebaldinia F R. Single and Multipolarimetric SAR Tomography of Forested Areas: A Parametric Approach[J]. IEEE Transactions on Geoscience and Remote Sensing, 2010, 48(5): 2375-2387.

Approach for Forest Height Extraction Using Multi-baseline Interferometric Tomographic SAR

Abstract

References

Proportional views

通讯作者: 陈斌, bchen63@163.com

Proportional views

Approach for Forest Height Extraction Using Multi-baseline Interferometric Tomographic SAR

HTML

Catalog

Export File

Citation

Format

Content