Forest-height inversion using repeat-pass spaceborne polInSAR data

Forest-height inversion using airborne double-antenna synthetic aperture radar (SAR) systems has been widely researched, leading to increasing accuracy. Polarimetric SAR Interferometry (PolInSAR) data from spaceborne single-antenna SAR systems, which are influenced by temporal decorrelation, have difficulty inverting forest height. Given the temporal decorrelation effect, the classical random volume over ground (RVoG) model has been proven to invert forest height with significant errors, using repeat-pass PolInSAR data. In consideration of this problem, the temporal decorrelation RVoG (TD-RVoG; based on the RVoG) model was proposed. In this study, an improved TD-RVoG model is presented, with a new temporal decorrelation function. Compared with TD-RVoG, the new model has fewer unknown parameters and can be applied in a three-stage inversion procedure. Validity of the new model is demonstrated by Advanced Land Observing Satellite/Phased Array type L-band SAR (ALOS/PALSAR) data. Results show that the improved TD-RVoG has better accuracy, with inversion error less than 1.5 m.

[1]  Thuy Le Toan,et al.  Estimation of the Backscatter Vertical Profile of a Pine Forest Using Single Baseline P-Band (Pol-)InSAR Data , 2010, IEEE Transactions on Geoscience and Remote Sensing.

[2]  Andreas Reigber,et al.  Multi-frequency polarimetric SAR interferometry for vegetation structure extraction , 2000, IGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings (Cat. No.00CH37120).

[3]  S. Cloude,et al.  Three-stage inversion process for polarimetric SAR interferometry , 2003 .

[4]  Thuy Le Toan,et al.  Forest Biophysical Parameter Estimation Using L- and P-Band Polarimetric SAR Data , 2009, IEEE Transactions on Geoscience and Remote Sensing.

[5]  Irena Hajnsek,et al.  THE IMPACT OF TEMPORAL DECORRELATION OVER FOREST TERRAIN IN POLARIMETRIC SAR INTERFEROMETRY , 2009 .

[6]  Konstantinos Papathanassiou,et al.  Single-baseline polarimetric SAR interferometry , 2001, IEEE Trans. Geosci. Remote. Sens..

[7]  Konstantinos Papathanassiou,et al.  Pine Forest Height Inversion Using Single-Pass X-Band PolInSAR Data , 2008, IEEE Transactions on Geoscience and Remote Sensing.

[8]  Yves-Louis Desnos,et al.  Forest parameters inversion using Polarimetric and Interferometric SAR data , 2009, 2009 IEEE International Geoscience and Remote Sensing Symposium.

[9]  A. Reigber,et al.  Polarimetric SAR Interferometry at P-Band for Vegetation Structure Extraction , 2000 .

[10]  Lars M. H. Ulander,et al.  C-band repeat-pass interferometric SAR observations of the forest , 1997, IEEE Trans. Geosci. Remote. Sens..

[11]  M. Moghaddam,et al.  Vegetation characteristics and underlying topography from interferometric radar , 1996 .

[12]  S. R. Cloude,et al.  The effect of temporal decorrelation on the inversion of forest parameters from Pol-InSAR data , 2003, IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477).

[13]  Fabio Rocca,et al.  Modeling Interferogram Stacks , 2007, IEEE Transactions on Geoscience and Remote Sensing.

[14]  Eric Pottier,et al.  Polinsar forestry applications improved by modeling height-dependent temporal decorrelation , 2010, 2010 IEEE International Geoscience and Remote Sensing Symposium.

[15]  Ashley William Gunter,et al.  Getting it for free: Using Google earth™ and IL WIS to map squatter settlements in Johannesburg , 2009, 2009 IEEE International Geoscience and Remote Sensing Symposium.

[16]  R. Treuhaft,et al.  Vertical structure of vegetated land surfaces from interferometric and polarimetric radar , 2000 .

[17]  Howard A. Zebker,et al.  Decorrelation in interferometric radar echoes , 1992, IEEE Trans. Geosci. Remote. Sens..

[18]  Maurizio Santoro,et al.  Multitemporal repeat pass SAR interferometry of boreal forests , 2005, IEEE Trans. Geosci. Remote. Sens..

[19]  Pascale Dubois-Fernandez,et al.  Forest Height Inversion Using High-Resolution P-Band Pol-InSAR Data , 2008, IEEE Transactions on Geoscience and Remote Sensing.

[20]  Irena Hajnsek,et al.  Quantifying Temporal Decorrelation over Boreal Forest at L- and P-band , 2008 .

[21]  Marco Lavalle,et al.  A Temporal Decorrelation Model for Polarimetric Radar Interferometers , 2012, IEEE Transactions on Geoscience and Remote Sensing.

[22]  Meng Wei,et al.  Decorrelation of L-Band and C-Band Interferometry Over Vegetated Areas in California , 2010, IEEE Transactions on Geoscience and Remote Sensing.

[23]  Yanping Wang,et al.  Analysis of Temporal Decorrelation in Dual-Baseline Polinsar Vegetation Parameter Estimation , 2008, IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium.

[24]  Eric Pottier,et al.  Height-dependent temporal deccorelation in PolinSAR and TomoSAR forestry applications , 2010 .

[25]  Yves-Louis Desnos,et al.  PolInSAR for Forest Biomass Retrieval: PALSAR Observations and Model Analysis , 2008, IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium.