Extraction of Structural and Dynamic Properties of Forests from Polarimetric-Interferometric SAR Data Affected by Temporal Decorrelation

IEEE Transactions on Geoscience and Remote Sensing

Volumn 53, Issue 9, 2015, Pages 4752-4767

  Lavalle, Marco ^a   Hensley, Scott ^a  

^a CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Decorrelation; interferometry; polarimetry; synthetic aperture radar (SAR)

Indexed keywords

FORESTRY; INTERFEROMETRY; MOTION ANALYSIS; NASA; OPTICAL RADAR; POLARIMETERS; RADAR;

DE CORRELATIONS; INTERFEROMETRIC COHERENCE; MULTIPLICATIVE FACTORS; POLARIMETRIC INTERFEROMETRIC SAR; RANDOM VOLUME OVER GROUNDS; STRUCTURAL AND DYNAMIC PROPERTIES; TEMPORAL DECORRELATION; UNINHABITED AERIAL VEHICLE;

SYNTHETIC APERTURE RADAR;

ALGORITHM; BIOMASS; DYNAMIC PROPERTY; EXTRACTION METHOD; FOREST CANOPY; HEIGHT; INTERFEROMETRY; LIDAR; MODEL TEST; POLARIZATION; PREDICTION; SENSOR; STRUCTURAL ANALYSIS; SYNTHETIC APERTURE RADAR;

ALGORITHMS; FOREST CANOPY; FORESTS; INTERFEROMETRY; POLARIMETRY; PROBLEM SOLVING;

HARVARD FOREST; MASSACHUSETTS; UNITED STATES;

EID: 85027935939     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2015.2409066     Document Type: Article

References (77)

1. F. G. Hall et al., "Characterizing 3D vegetation structure from space: Mission requirements," Remote Sens. Environ., vol. 115, no. 11, pp. 2753- 2775, Nov. 2011.
2. T. Le Toan et al., "The BIOMASS mission: Mapping global forest biomass to better understand the terrestrial carbon cycle," Remote Sens. Environ., vol. 115, no. 11, pp. 2850-2860, Nov. 2011.
3. T. LeToan et al., "Relating radar remote sensing of biomass to modelling of forest carbon budgets," Climatic Change, vol. 67, pp. 379-402, Dec. 2004.
4. K. M. Bergen et al., "Remote sensing of vegetation 3-D structure for biodiversity and habitat: Review and implications for lidar and radar spaceborne missions," J. Geophys. Res., Biogeosci., vol. 114, no. G2, pp. 1-13, 2009.
5. C. Le Quere et al., "Trends in the sources and sinks of carbon dioxide," Nature Geosci., vol. 2, pp. 831-836, Nov. 2009.
6. R. A. Houghton, "Aboveground forest biomass and the global carbon balance," Global Change Biol., vol. 11, no. 6, pp. 945-958, 2005.
7. W. Turner et al., "Remote sensing for biodiversity science and conservation," Trends Ecol. Evol., vol. 18, no. 6, pp. 306-314, 2003.
8. M. Shimada et al., "New global forest/non-forest maps from ALOS PALSAR data (2007-2010)," Remote Sens. Environ., vol. 155, pp. 13-31, Dec. 2014.
9. S. Saatchi et al., "Benchmark map of forest carbon stocks in tropical regions across three continents," Proc. Nat. Acad. Sci., vol. 108, no. 24, pp. 9899-9904, May 2011.
10. J. Kellndorfer et al., "Vegetation height estimation from Shuttle Radar Topography Mission and National Elevation Datasets," Remote Sens. Environ., vol. 93, no. 3, pp. 339-358, Nov. 2004.
11. M. A. Lefsky, "A global forest canopy height map from the moderate resolution imaging spectroradiometer and the geoscience laser altimeter system," Geophys. Res. Lett., vol. 37, no. 15, pp. 1-5, Aug. 2010.
12. M. Dobson et al., "Dependence of radar backscatter on coniferous forest biomass," IEEE Trans. Geosci. Remote Sens., vol. 30, no. 2, pp. 412-415, Mar. 1992.
13. T. Le Toan, A. Beaudoin, J. Riom, and D. Guyon, "Relating forest biomass to SAR data," IEEE Trans. Geosci. Remote Sens., vol. 30, no. 2, pp. 403-411, Mar. 1992.
14. M. Moghaddam and S. Saatchi, "Analysis of scattering mechanisms in SAR imagery over boreal forest: results from BOREAS '93," IEEE Trans. Geosci. Remote Sens., vol. 33, no. 5, pp. 1290-1296, Sep. 1995.
15. I. H. Woodhouse, E. T. A. Mitchard, M. Brolly, D. Maniatis, and C. M. Ryan, "Radar backscatter is not a direct measure of forest biomass," Nature Clim. Change, vol. 2, pp. 556-557, Jul. 2012.
16. M. Imhoff, "Radar backscatter and biomass saturation: Ramifications for global biomass inventory," IEEE Trans. Geosci. Remote Sens., vol. 33, no. 2, pp. 511-518, Mar. 1995.
17. M. Brolly and I. H. Woodhouse, "A matchstick model of microwave backscatter from a forest," Ecol. Model., vol. 237/238, pp. 74-87, Jul. 2012.
18. A. Reigber and A. Moreira, "First demonstration of airborne SAR tomography using multibaseline L-band data," IEEE Trans. Geosci. Remote Sens., vol. 38, no. 5, pp. 2142-2152, Sep. 2000.
19. S. Tebaldini, "Single and multipolarimetric SAR tomography of forested areas: A parametric approach," IEEE Trans. Geosci. Remote Sens., vol. 48, no. 5, pp. 2375-2387, May 2010.
20. S. Tebaldini and F. Rocca, "Multibaseline polarimetric SAR tomography of a boreal forest at P- and L-bands," IEEE Trans. Geosci. Remote Sens., vol. 50, no. 1, pp. 232-246, Jan. 2012.
21. F. Lombardini, "Differential tomography: A new framework for SAR interferometry," IEEE Trans. Geosci. Remote Sens., vol. 43, no. 1, pp. 37-44, Jan. 2005.
22. M. Nannini, R. Scheiber, and A. Moreira, "Estimation of the minimum number of tracks for SAR tomography," IEEE Trans. Geosci. Remote Sens., vol. 47, no. 2, pp. 531-543, Feb. 2009.
23. D. H. T. Minh et al., "Relating P-band synthetic aperture radar tomography to tropical forest biomass," IEEE Trans. Geosci. Remote Sens., vol. 52, no. 2, pp. 967-979, Feb. 2014.
24. S. Cloude and K. Papathanassiou, "Polarimetric optimisation in radar interferometry," Electron. Lett., vol. 33, no. 13, pp. 1176-1178, Jun. 1997.
25. K. Papathanassiou and S. Cloude, "Polarimetric effects in repeat-pass SAR interferometry," in Proc. IEEE IGARSS, Aug. 1997, vol. 4, pp. 1926-1928.
26. S. Cloude and K. Papathanassiou, "Polarimetric SAR interferometry," IEEE Trans. Geosci. Remote Sens., vol. 36, no. 5, pp. 1551-1565, Sep. 1998.
27. R. Treuhaft, S. Madsen, M. Moghaddam, and J. J. van Zyl, "Vegetation characteristics and underlying topography from interferometric radar," Radio Sci., vol. 31, no. 6, pp. 1449-1485, Nov./Dec. 1996.
28. R. Treuhaft and P. Siqueira, "Vertical structure of vegetated land surfaces from interferometric and polarimetric radar," Radio Sci., vol. 35, no. 1, pp. 141-178, Jan. 2000.
29. K. Papathanassiou and S. Cloude, "Single-baseline polarimetric SAR interferometry," IEEE Trans. Geosci. Remote Sens., vol. 39, no. 11, pp. 2352-2363, Nov. 2001.
30. T. Mette, K. Papathanassiou, and I. Hajnsek, "Biomass estimation from polarimetric SAR interferometry over heterogeneous forest terrain," in Proc. IEEE Int. Geosci. Remote Sens. Symp., Sep. 2004, vol. 1, pp. 511-514.
31. S. Cloude and K. Papathanassiou, "Three-stage inversion process for polarimetric SAR interferometry," Proc. Inst. Elect. Eng.-Radar, Sonar Navigat., vol. 150, no. 3, pp. 125-134, Jun. 2003.
32. S. R. Cloude, "Polarization coherence tomography," Radio Sci., vol. 41, no. 4, pp. 1-27, Aug. 2006.
33. J. Praks, F. Kugler, K. Papathanassiou, I. Hajnsek, and M. Hallikainen, "Height estimation of boreal forest: Interferometric model-based inversion at L- and X-band versus HUTSCAT profiling scatterometer," IEEE Geosci. Remote Sens. Lett., vol. 4, no. 3, pp. 466-470, Jul. 2007.
34. I. Hajnsek, F. Kugler, S.-K. Lee, and K. Papathanassiou, "Tropicalforestparameter estimation by means of Pol-InSAR: The INDREX-II campaign," IEEE Trans. Geosci. Remote Sens., vol. 47, no. 2, pp. 481-493, Feb. 2009.
35. M. Lavalle, "Full and compact polarimetric radar interferometry for vegetation remote sensing," Ph.D. dissertation, Inst. Electron. Telecommun. Rennes, Univ. Rennes 1, Rennes, France, Dec. 2009.
36. E. Pottier et al., "Overview of the PolSARpro v4.0 software: The open source toolbox for polarimetric and interferometric polarimetric SAR data processing," in Proc. IEEE Int. Geosci. Remote Sens. Symp., Jul. 2009, vol. 4, pp. IV-936-IV-939.
37. F. Garestier, P. Dubois-Fernandez, and K. Papathanassiou, "Pine forest height inversion using single-pass X-Band PolInSAR data," IEEE Trans. Geosci. Remote Sens., vol. 46, no. 1, pp. 59-68, Jan. 2008.
38. F. Garestier, P. Dubois-Fernandez, and I. Champion, "Forest height inversion using high-resolution P-band Pol-InSAR data," IEEE Trans. Geosci. Remote Sens., vol. 46, no. 11, pp. 3544-3559, Nov. 2008.
39. F. Kugler, D. Schulze, I. Hajnsek, H. Pretzsch, and K. Papathanassiou, "TanDEM-X pol-InSAR performance for forest height estimation," IEEE Trans. Geosci. Remote Sens., vol. 52, no. 10, pp. 6404-6422, Oct. 2014.
40. J. Lopez-Sanchez, J. Ballester-Berman, and Y. Marquez-Moreno, "Model limitations and parameter-estimation methods for agricultural applications of polarimetric SAR interferometry," IEEE Trans. Geosci. Remote Sens., vol. 45, no. 11, pp. 3481-3493, Nov. 2007.
41. J. Lopez-Sanchez, I. Hajnsek, and J. Ballester-Berman, "First demonstration of agriculture height retrieval with PolInSAR airborne data," IEEE Geosci. Remote Sens. Lett., vol. 9, no. 2, pp. 242-246, Mar. 2012.
42. F. Garestier and T. Le Toan, "Forest modeling for height inversion using single-baseline InSAR/Pol-InSAR data," IEEE Trans. Geosci. Remote Sens., vol. 48, no. 3, pp. 1528-1539, Mar. 2010.
43. C. Lopez-Martinez and K. Papathanassiou, "Cancellation of scattering mechanisms in PolInSAR: Application to underlying topography estimation," IEEE Trans. Geosci. Remote Sens., vol. 51, no. 2, pp. 953-965, Feb. 2013.
44. C. Lopez-Martinez and A. Alonso-Gonzalez, "Assessment and estimation of the RVoG model in polarimetric SAR interferometry," IEEE Trans. Geosci. Remote Sens., vol. 52, no. 6, pp. 3091-3106, Jun. 2014.
45. J. Ballester-Berman and J. Lopez-Sanchez, "Applying the Freeman- Durden decomposition concept to polarimetric SAR interferometry," IEEE Trans. Geosci. Remote Sens., vol. 48, no. 1, pp. 466-479, Jan. 2010.
46. M. Lavalle and K. Khun, "Three-baseline InSAR estimation of forest height," IEEE Geosci. Remote Sens. Lett., vol. 11, no. 10, pp. 1737-1741, Oct. 2014.
47. S.-K. Lee, F. Kugler, K. Papathanassiou, and I. Hajnsek, "Multibaseline polarimetric SAR interferometry forest height inversion approaches," in Proc. PolInSAR Workshop, Frascati, Italy, Jan. 2011, pp. 1-4.
48. M. Neumann, L. Ferro-Famil, and A. Reigber, "Estimation of forest structure, ground and canopy layer characteristics from multi-baseline polarimetric interferometric SAR data," IEEE Trans. Geosci. Remote Sens., vol. 48, no. 3, pp. 1086-1104, Mar. 2010.
49. A. Reigber, M. Neumann, E. Erten, M. Jager, and P. Prats, "Multibaseline polarimetrically optimised phases and scattering mechanisms for InSAR applications," in Proc. IEEE IGARSS, Jul. 2007, pp. 2620-2623.
50. M. Lavalle, D. Solimini, E. Pottier, and Y.-L. Desnos, "Comparison of models of PolInSAR coherence for forest height retrieval using PolInSAR simulated data," in Proc. FringeWorkshop, Frascati, Italy, Nov. 2007.
51. L. Ferro-Famil, M. Neumann, and Y. Huang, "Multi-baseline PolInSAR statistical techniques for the characterization of distributed media," in Proc. IEEE IGARSS, Jul. 2009, vol. 3, pp. 971-974.
52. M. Neumann, L. Ferro-Famil, and A. Reigber, "Multibaseline polarimetric SAR interferometry coherence optimization," IEEE Geosci. Remote Sens. Lett., vol. 5, no. 1, pp. 93-97, Jan. 2008.
53. K. Papathanassiou and S. Cloude, "The effect of temporal decorrelation on the inversion of forest parameters from Pol-InSAR data," in Proc. IEEE IGARSS, Jul. 2003, vol. 3, pp. 1429-1431.
54. S.-K. Lee, F. Kugler, K. Papathanassiou, and I. Hajnsek, "Quantification of temporal decorrelation effects at L-band for polarimetric SAR interferometry applications," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 6, no. 3, pp. 1351-1367, Jun. 2013.
55. Z. Yong-Sheng et al., "Analysis of temporal decorrelation in dual-baseline PolInSAR vegetation parameter estimation," in Proc. IEEE IGARSS, 2008, vol. 2, pp. 473-476.
56. M. Lavalle, M. Simard, D. Solimini, and E. Pottier, "Height-dependent temporal decorrelation in PolInSAR and TomoSAR forestry applications," in Proc. 8th Eur. Conf. Synthetic Aperture Radar, Aachen, Germany, Jun. 2010, pp. 1-4.
57. M. Lavalle, M. Simard, and S. Hensley, "A temporal decorrelation model for polarimetric radar interferometers," IEEE Trans. Geosci. Remote Sens., vol. 50, no. 7, pp. 2880-2888, Jul. 2012.
58. H. Zebker and J. Villasenor, "Decorrelation in interferometric radar echoes," IEEE Trans. Geosci. Remote Sens., vol. 30, no. 5, pp. 950-959, Sep. 1992.
59. F. Lombardini and H. Griffiths, "Effect of temporal decorrelation on 3D SAR imaging using multiple pass beamforming," in Proc. IEE-EUREL Meet. Radar Sonar Signal Process., Peebles, U.K., Jul. 1998, pp. 34/1-34/4.
60. F. Rocca, "Modeling interferogram stacks," IEEE Trans. Geosci. Remote Sens., vol. 45, no. 10, pp. 3289-3299, Oct. 2007.
61. J. O. Hagberg, L. M. H. Ulander, and J. Askne, "Repeat-pass SAR interferometry over forested terrain," IEEE Trans. Geosci. Remote Sens., vol. 33, no. 2, pp. 331-340, Mar. 1995.
62. J. I. H. Askne, P. B. G. Dammert, L. M. H. Ulander, and G. Smith, "C-Band repeat-pass interferometric SAR observations of the forest," IEEE Trans. Geosci. Remote Sens., vol. 35, no. 1, pp. 25-35, Jan. 1997.
63. J. Askne and M. Santoro, "Multitemporal repeat-pass SAR interferometry of boreal forests," IEEE Trans. Geosci. Remote Sens., vol. 43, no. 6, pp. 1219-1228, Jun. 2005.
64. T. Castel, J.-M. Martinez, A. Beaudoin, U. Wegmuller, and T. Strozzi, "ERS INSAR data for remote sensing hilly forested areas," Remote Sens. Environ., vol. 73, no. 1, pp. 73-86, Jul. 2000.
65. R. Ahmed, P. Siqueira, S. Hensley, B. Chapman, and K. Bergen, "A survey of temporal decorrelation from spaceborne L-band repeat-pass InSAR," Remote Sens. Environ., vol. 115, no. 11, pp. 2887-2896, Nov. 2011.
66. M. Simard et al., "An empirical assessment of temporal decorrelation using the Uninhabited Aerial Vehicle Synthetic Aperture Radar over forested landscapes," Remote Sens., vol. 4, no. 4, pp. 975-986, Apr. 2012.
67. Y. Lei and P. Siqueira, "Estimation of forest height using spaceborne repeat-pass L-band InSAR correlation magnitude over the US state of Maine," Remote Sens., vol. 6, no. 11, pp. 10252-10285, Oct. 2014.
68. Z. Li, M. Guo, Z. Wang, and L. Zhao, "Forest-height inversion using repeat-pass spaceborne PolInSAR data," Sci. China Earth Sci., vol. 57, no. 6, pp. 1314-1324, Jun. 2014.
69. S. Cloude, Polarisation: Applications in Remote Sensing. London, U.K.: Oxford Univ. Press, Nov. 2009.
70. E. Rodriguez and J. M. Martin, "Theory and design of interferometric synthetic aperture radars," Proc. Inst. Elect. Eng.-F Radar Signal Process., vol. 139, no. 2, pp. 147-159, Apr. 1992.
71. F. Gatelli et al., "The wavenumber shift in SAR interferometry," IEEE Trans. Geosci. Remote Sens., vol. 32, no. 4, pp. 855-865, Jul. 1994.
72. M. Lavalle et al., "Tackling temporal decorrelation with the RMOG model," in Proc. PolInSAR Workshop, Frascati, Italy, Jan. 2013.
73. A. Marino, S. R. Cloude, and I. H. Woodhouse, "Detecting depolarized targets using a new geometrical perturbation filter," IEEE Trans. Geosci. Remote Sens., vol. 50, no. 10, pp. 3787-3799, Oct. 2012.
74. M. Lavalle, S. Hensley, and M. Simard, "Recent advances on InSAR temporal decorrelation: Theory and observations using UAVSAR," in Proc. Fringe Workshop, Frascati, Italy, Sep. 2011, pp. 1-4.
75. M. Lavalle and S. Hensley, "Demonstration of repeat-pass PolInSAR using UAVSAR: The RMOG model," in Proc. IEEE IGARSS, Jul. 2012, pp. 5876-5879.
76. S. Hensley et al., "The UAVSAR instrument: Description and first results," in Proc. IEEE RADAR, May 2008, pp. 1-6.
77. J. B. Blair, M. A. Hofton, and D. L. Rabine, "Processing of NASA LVIS elevation and canopy (LGE, LCE and LGW) data products, version 1.01" Nat. Aeronaut. Space Admin., Washington, DC, USA, 2006. [Online]. Available: http://lvis.gsfc.nasa.gov