Reviewing ALOS PALSAR backscatter observations for stem volume retrieval in Swedish forest

Remote Sensing

Volumn 7, Issue 4, 2015, Pages 4290-4317

  Santoro, Maurizio ^a   Eriksson, Leif E B ^b   Fransson, Johan E S ^c  

^a GAMMA REMOTE SENSING   (Switzerland)

^b CHALMERS UNIVERSITY OF TECHNOLOGY   (Sweden)

^c SWEDISH UNIVERSITY OF AGRICULTURAL SCIENCES   (Sweden)

Author keywords

ALOS PALSAR; Backscatter; Boreal; Forest; Retrieval; Stem volume; Sweden

Indexed keywords

BACKSCATTERING; FORESTRY; MEAN SQUARE ERROR; POLARIZATION;

ALOS PALSAR; BOREAL; FOREST; RETRIEVAL; STEM VOLUME; SWEDEN;

SYNTHETIC APERTURE RADAR;

DATA PROCESSING; POLARIZATION; RADAR; SATELLITES; SEASONAL VARIATION;

EID: 84937932908     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs70404290     Document Type: Article

References (52)

1. Rosenqvist, Å.; Shimada, M.; Ito, N.; Watanabe, M. ALOS PALSAR: A pathfinder mission for global-scale monitoring of the environment. IEEE Trans. Geosci. Remote Sens. 2007, 45, 3307-3316.
2. Imhoff, M.L. Radar backscatter and biomass saturation: Ramifications for global biomass inventory. IEEE Trans. Geosci. Remote Sens. 1995, 33, 511-518.
3. Ranson, K.J.; Sun, G. Mapping biomass of a northern forest using multifrequency SAR data. IEEE Trans. Geosci. Remote Sens. 1994, 32, 388-396.
4. Le Toan, T.; Beaudoin, A.; Riom, J.; Guyon, D. Relating forest biomass to SAR data. IEEE Trans. Geosci. Remote Sens. 1992, 30, 403-411.
5. Santoro, M.; Eriksson, L.; Askne, J.; Schmullius, C. Assessment of stand-wise stem volume retrieval in boreal forest from JERS-1 L-band SAR backscatter. Int. J. Remote Sens. 2006, 27, 3425-3454.
6. Rauste, Y. Multi-temporal JERS SAR data in boreal forest biomass mapping. Remote Sens. Environ. 2005, 97, 263-275.
7. Eriksson, L.E.B.; Sandberg, G.; Ulander, L.M.H.; Smith-Jonforsen, G.; Hallberg, B.; Folkesson, K.; Fransson, J.E.S.; Magnusson, M.; Olsson, H. ALOS PALSAR calibration and validation results from Sweden. In Proceedings of the IGARSS 2007, Barcelona, Spain, 23-27 July 2007.
8. The ALOS Kyoto & Carbon Initiative, Science Plan (v.3.1). Available online: http://www.eorc.jaxa.jp/ALOS/en/kyoto/KC-Science-Plan_v3.1.pdf (accessed on 10 April 2015).
9. Andersen, H.-E.; Strunk, J.; Temesgen, H.; Atwood, D.; Winterberger, K. Using multilevel remote sensing and ground data to estimate forest biomass resources in remote regions: A case study in the boreal forests of interior Alaska. Can. J. Remote Sens. 2011, 37, 596-611.
10. Santoro, M.; Askne, J.; Smith, G.; Fransson, J.E.S. Stem volume retrieval in boreal forests from ERS-1/2 interferometry. Remote Sens. Environ. 2002, 81, 19-35.
11. Kurvonen, L.; Pulliainen, J.; Hallikainen, M. Retrieval of biomass in boreal forests from multitemporal ERS-1 and JERS-1 SAR images. IEEE Trans. Geosci. Remote Sens. 1999, 37, 198-205.
12. Cartus, O.; Santoro, M.; Kellndorfer, J. Mapping forest aboveground biomass in the Northeastern United States with ALOS PALSAR dual-polarization L-band. Remote Sens. Environ. 2012, 124, 466-478.
13. Askne, J.; Santoro, M.; Smith, G.; Fransson, J.E.S. Multitemporal repeat-pass SAR interferometry of boreal forests. IEEE Trans. Geosci. Remote Sens. 2003, 41, 1540-1550.
14. Santoro, M.; Beer, C.; Cartus, O.; Schmullius, C.; Shvidenko, A.; McCallum, I.; Wegmüller, U.; Wiesmann, A. Retrieval of growing stock volume in boreal forest using hyper-temporal series of Envisat ASAR ScanSAR backscatter measurements. Remote Sens. Environ. 2011, 115, 490-507.
15. Avtar, R.; Suzuki, R.; Takeuchi, W.; Sawada, H. PALSAR 50 m mosaic data based national level biomass estimation in Cambodia for implementation of REDD+ mechanism. PLoS ONE 2013, 8, doi:10.1371/journal.pone.0074807.
16. Ni, W.; Sun, G.; Guo, Z.; Zhang, Z.; He, Y.; Huang, W. Retrieval of forest biomass from ALOS PALSAR data using a lookup table method. IEEE J. Sel. Top. Appl. Earth Obs. 2013, 6, 875-885.
17. Mermoz, S.; le Toan, T.; Villard, L.; Réjou-Méchain, M.; Seifert-Granzin, J. Biomass assessment in the Cameroon savanna using ALOS PALSAR data. Remote Sens. Environ. 2014, 155, 109-119.
18. Mitchard, E.T.A.; Saatchi, S.S.; Woodhouse, I.H.; Nangendo, G.; Ribeiro, N.S.; Williams, M.; Ryan, C.M.; Lewis, S.L.; Feldpausch, T.R.; Meir, P. Using satellite radar backscatter to predict above-ground woody biomass: A consistent relationship across four different African landscapes. Geophys. Res. Lett. 2009, 36, doi:10.1029/2009GL040692.
19. Peregon, A.; Yamagata, Y. The use of ALOS/PALSAR backscatter to estimate above-ground forest biomass: A case study in Western Siberia. Remote Sens. Environ. 2013, 137, 139-146.
20. Robinson, C.; Saatchi, S.; Neumann, M.; Gillespie, T. Impacts of spatial variability on aboveground biomass estimation from L-band radar in a temperate forest. Remote Sens. 2013, 5, 1001-1023.
21. Morel, A.C.; Saatchi, S.S.; Malhi, Y.; Berry, N.J.; Banin, L.; Burslem, D.; Nilus, R.; Ong, R.C. Estimating aboveground biomass in forest and oil palm plantation in Sabah, Malaysian Borneo using ALOS PALSAR data. For. Ecol. Manag. 2011, 262, 1786-1798.
22. Carreiras, J.M.B.; Melo, J.B.; Vasconcelos, M.J. Estimating the above-ground biomass in miombo savanna woodlands (Mozambique, East Africa) using L-band synthetic aperture radar data. Remote Sens. 2013, 5, 1524-1548.
23. Antropov, O.; Ahola, H.; Rauste, Y.; Hame, T. Stand-level stem volume of boreal forests from spaceborne SAR imagery at L-band. IEEE J. Sel. Top. Appl. Earth Obs. 2013, 6, 135-144.
24. Häme, T.; Salli, A.; Lahti, K. Estimation of carbon storage in boreal forests using remote sensing data, in Pilot study. In The Finnish Research Program on Climate Change, Progress Report; Kanninen, M., Anttila, P., Eds.; Academy of Finland: Helsinki, Finland, 1992; Volume 3, pp. 250-255.
25. Askne, J.I.A.; Fransson, J.E.S.; Santoro, M.; Soja, M.J.; Ulander, L.M.H. Model-based biomass estimation of a hemi-boreal forest from multitemporal TanDEM-X acquisitions. Remote Sens. 2013, 5, 5574-5597.
26. Soja, M.J.; Sandberg, G.; Ulander, L.M.H. Regression-based retrieval of boreal forest biomass in sloping terrain using P-band SAR backscatter intensity data. IEEE Trans. Geosci. Remote Sens. 2013, 51, 2646-2665.
27. Neumann, M.; Saatchi, S.S.; Ulander, L.M.H.; Fransson, J.E.S. Assessing performance of L- and P-band polarimetric interferometric SAR data in estimating boreal forest above-ground biomass. IEEE Trans. Geosci. Remote Sens. 2012, 50, 714-726.
28. Sandberg, G.; Ulander, L.M.H.; Fransson, J.E.S.; Holmgren, J.; le Toan, T. L- and P-band backscatter intensity for biomass retrieval in hemiboreal forest. Remote Sens. Environ. 2011, 115, 2874-2886.
29. Folkesson, K.; Smith-Jonforsen, G.; Ulander, L.M.H. Validating backscatter models for CARABAS SAR images of coniferous forests. Can. J. Remote Sens. 2008, 34, 480-495.
30. Askne, J.; Santoro, M. Experiences in boreal forest stem volume estimation from multitemporal C-band InSAR. In Recent Interferometry Applications in Topography and Astronomy; Padron, I., Ed.; InTech: Morn Hill, UK, 2012.
31. Jonsson, B.; Jacobsson, J.; Kallur, H. The forest management planning package. Theory and application. Stud. For. Suec. 1993, 189, 1-56.
32. Loman, J.-O. Statistical Yearbook of Forestry 2006; Swedish Forest Agency: Jönköping, Sweden, 2006.
33. Fransson, J.E.S.; Magnusson, M.; Olsson, H.; Eriksson, L.E.B.; Sandberg, G.; Smith-Jonforsen, G.; Ulander, L.M.H. Detection of forest changes using ALOS PALSAR satellite images. In Proceedings of the IGARSS 2007, Barcelona, Spain, 23-27 July 2007.
34. Fransson, J.E.S.; Pantze, A.; Eriksson, L.E.B.; Soja, M.J.; Santoro, M. Mapping of wind-thrown forests using satellite SAR images. In Proceedings of the IGARSS 2010, Honolulu, HI, USA, 25-30 July 2010.
35. Santoro, M.; Fransson, J.E.S.; Eriksson, L.E.B.; Magnusson, M.; Ulander, L.M.H.; Olsson, H. Signatures of ALOS PALSAR L-band backscatter in Swedish forest. IEEE Trans. Geosci. Remote Sens. 2009, 47, 4001-4019.
36. Wegmüller, U. Automated terrain corrected SAR geocoding. In Proceedings of the IGARSS 1999, Hamburg, Germany, 28 June-2 July 1999.
37. Shimada, M.; Isoguchi, O.; Tadono, T.; Isono, K. PALSAR radiometric and geometric calibration. IEEE Trans. Geosci. Remote Sens. 2009, 47, 3915-3932.
38. Castel, T.; Beaudoin, A.; Stach, N.; Stussi, N.; le Toan, T.; Durand, P. Sensitivity of space-borne SAR data to forest parameters over sloping terrain. Theory and experiment. Int. J. Remote Sens. 2001, 22, 2351-2376.
39. Fransson, J.E.S.; Israelsson, H. Estimation of stem volume in boreal forests using ERS-1 C- and JERS-1 L-band SAR data. Int. J. Remote Sens. 1999, 20, 123-137.
40. Tanase, M.A.; Panciera, R.; Lowell, K.; Siyuan, T.; Garcia-Martin, A.; Walker, J.P. Sensitivity of L-band radar backscatter to forest biomass in semiarid environments: A comparative analysis of parametric and nonparametric models. IEEE Trans. Geosci. Remote Sens. 2014, 52, 4671-4685.
41. Freeman, A.; Durden, S.L. A three-component scattering model for polarimetric SAR data. IEEE Trans. Geosci. Remote Sens. 1998, 36, 963-973.
42. Sun, G.; Simonett, D.S.; Strahler, A.H. A radar backscatter model for discontinuous coniferous forests. IEEE Trans. Geosci. Remote Sens. 1991, 29, 639-650.
43. Saatchi, S.S.; McDonald, K.C. Coherent effects in microwave backscattering models for forest canopies. IEEE Trans. Geosci. Remote Sens. 1997, 35, 1032-1044.
44. Pulliainen, J.T.; Kurvonen, L.; Hallikainen, M.T. Multitemporal behavior of L- and C-band SAR observations of boreal forests. IEEE Trans. Geosci. Remote Sens. 1999, 37, 927-937.
45. Saatchi, S.; Marlier, M.; Chazdon, R.; Clark, D.B.; Russell, A.E. Impact of spatial variability of tropical forest structure on radar estimation of aboveground biomass. Remote Sens. Environ. 2011, 115, 2836-2849.
46. Lucas, R.; Armston, J.; Fairfax, R.; Fensham, R.; Accad, A.; Carreiras, J.; Kelley, J.; Bunting, P.; Clewley, D.; Bray, S.; et al. An evaluation of the ALOS PALSAR L-band backscatter-Above ground biomass relationship Queensland, Australia: Impacts of surface moisture condition and vegetation structure. IEEE J. Sel. Top. Appl. Earth Obs. 2010, 3, 576-593.
47. Cartus, O.; Kellndorfer, J.; Walker, W.; Bishop, J.; Franco, C.; Santos, L.; Michel Fuentes, J.M. A national, detailed map of forest aboveground carbon stocks in Mexico. Remote Sens. 2014, 6, 5559-5588.
48. Tanase, M.A.; Panciera, R.; Lowell, K.; Aponte, C.; Hacker, J.M.; Walker, J.P. Forest biomass estimation at high spatial resolution: Radar vs. Lidar sensors. IEEE Geosci. Remote Sens. Lett. 2013, 11, 711-715.
49. Rosenqvist, A.; Shimada, M.; Suzuki, S.; Ohgushi, F.; Tadono, T.; Watanabe, M.; Tsuzuku, K.; Watanabe, T.; Kamijo, S.; Aoki, E. Operational performance of the ALOS global systematic acquisition strategy and observation plans for ALOS-2 PALSAR-2. Remote Sens. Environ. 2014, 155, 3-12.
50. Le Toan, T.; Quegan, S.; Davidson, M.W.J.; Balzter, H.; Paillou, P.; Papathanassiou, K.; Plummer, S.; Rocca, F.; Saatchi, S.; Shugart, H.; et al. The BIOMASS mission: Mapping global forest biomass to better understand the terrestrial carbon cycle. Remote Sens. Environ. 2011, 115, 2850-2860.
51. Rosen, P.A.; Eisen, H.; Shen, Y.; Hensley, S.; Shaffer, S.; Veilleux, L.; Dubayah, R.; Ranson, K.J.; Dress, A.; Blair, J.B.; et al. The proposed DESDynI mission-From science to implementation. In Proceedings of the IEEE Radar Conference (RADAR), Kansas City, MO, USA, 23-27 May 2011.
52. Gebert, N.; Carnicero, D.B.; Davidson, M.W.J.; Diaz, M.M.; Silvestrin, P. SAOCOM-CS-A passive companion to SAOCOM for single-pass L-band SAR interferometry. In Proceedings of the EUSAR 2014 10th European Conference on Synthetic Aperture Radar, Berlin, Germany, 3-5 June 2014.