Potential of texture measurements of two-date dual polarization PALSAR data for the improvement of forest biomass estimation

ISPRS Journal of Photogrammetry and Remote Sensing

Volumn 69, Issue , 2012, Pages 146-166

  Sarker, Md Latifur Rahman ^a,c   Nichol, Janet ^b   Ahmad, Baharin ^a   Busu, Ibrahim ^a   Rahman, Alias Abdul ^a  

^a UNIVERSITI TEKNIKAL MALAYSIA MELAKA   (Malaysia)

^b HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^c UNIVERSITY OF RAJSHAHI   (Bangladesh)

Author keywords

Dual polarization; Forest biomass; Leave One Out Cross Validation; PALSAR; SAR image texture; Saturation level

Indexed keywords

CROSS VALIDATION; DUAL-POLARIZATIONS; FOREST BIOMASS; PALSAR; SATURATION LEVELS;

DATA HANDLING; ESTIMATION; FORESTRY; IMAGE TEXTURE; POLARIZATION; TEXTURES;

BIOMASS;

ACCURACY ASSESSMENT; DATA SET; ESTIMATION METHOD; FOREST; IMAGE ANALYSIS; NOISE; PHYTOMASS; POLARIZATION; SATURATION; SENSOR; SPATIAL RESOLUTION; SYNTHETIC APERTURE RADAR; TEXTURE;

BIOMASS; DATA; ESTIMATION; FORESTRY; POLARIZATION; TEXTURE;

EID: 84859384792     PISSN: 09242716     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isprsjprs.2012.03.002     Document Type: Article

References (74)

1. Arevalo C.B.M., Volk T.A., Bevilacqua E., Abrahamson L. Development and validation of aboveground biomass estimations for four Salix clones in central New York. Biomass and Bioenergy 2007, 31(1):1-12.
2. Austin J.M., Mackey B.G., Van Niel K.P. Estimating forest biomass using satellite radar: an exploratory study in a temperate Australian Eucalyptus forest. Forest Ecology and Management 2003, 176(1-3):575-583.
3. Baraldi A., Parmiggiani F. An investigation of the texture characteristics associated with gray level cooccurrence matrix statistical parameters. IEEE Transactions on Geoscience and Remote Sensing 1995, 33(2):293-304.
4. Belsley D.A. Conditioning Diagnostics 1990, John Willy, New York. 1st ed.
5. Belsley D.A., Kuh E., Welsch R.E. Regression Diagnostics: Identifying Influential Data and Sources of Collinearity 1980, John Wiley, New York. 1st ed.
6. Brandfass, M., Hofmann, C., Mura, J.C., Papathanassiou, K.P., 2001. Polarimetric SAR interferometry as applied to fully polarimetric rain forest data. In: Proc. of Geoscience and Remote Sensing Symposium IGARSS'01, vol. 6, pp. 2575-2577.
7. Brown, S., 1997. Estimating Biomass and Biomass Change of Tropical Forests: A Primer. FAO - Food and Agriculture Organization of the United Nations, Rome, 1997 (FAO Forestry Paper - 134).
8. Brown S., Gillespie A.J.R., Lugo A.E. Biomass estimation methods for tropical forests with applications to forest inventory data. Forest Science 1989, 35(4):881-902.
9. Castel T., Guerra F., Caraglio Y., Houllier F. Retrieval biomass of a large Venezuelan pine plantation using JERS-1 SAR data. Analysis of forest structure impact on radar signature. Remote Sensing of Environment 2002, 79(1):30-41.
10. Cawley G.C., Talbot N.L.C. Fast exact leave-one-out cross-validation of sparse least-squares support vector machines. Neural Networks 2004, 17(10):1467-1475.
11. Champion I., Dubois-Fernandez P., Guyon D., Cottrel M. Radar image texture as a function of forest stand age. International Journal of Remote Sensing 2008, 29(6):1795-1800.
12. Chen D., Stow D.A., Gong P. Examining the effect of spatial resolution and texture window size on classification accuracy: an urban environment case. International Journal of Remote Sensing 2004, 25(11):2177-2192.
13. Cloude S.R., Papathanassiou K.P. Three-stage inversion process for polarimetric SAR interferometry. IEE Proceedings - Radar Sonar and Navigation 2003, 150(3):125-134.
14. Collins J.N., Hutley L.B., Williams R.J., Boggs G., Bell D., Bartolo R. Estimating landscape-scale vegetation carbon stocks using airborne multi-frequency polarimetric synthetic aperture radar (SAR) in the savannahs of north Australia. International Journal of Remote Sensing 2009, 30(5):1141-1159.
15. Dekker R.J. Texture analysis and classification of ERS SAR image for Map updating of urban areas in the Netherlands. IEEE Transactions on Geoscience and Remote Sensing 2003, 41(9):1950-1958.
16. Dell'Acqua F., Gamba P. Texture-based characterization of urban environments on satellite SAR images. IEEE Transactions on Geoscience and Remote Sensing 2003, 41(1):153-159.
17. Dobson M.C., Ulaby F.T., Le Toan T., Beaudoin A., Kasischke E.S., Christensen N.C. Dependence of radar backscatter on conifer forest biomass. IEEE Transactions on Geoscience and Remote Sensing 1992, 30(2):412-415.
18. Dobson M.C., Ulaby F.T., Pierce L.E., Sharik T.L., Bergen K.M., Kellndorfer J., Kendra J.R., Li E., Lin Y.C., Nashashibi A., Sarabandi K., Siqueira P. Estimation of forest biomass characteristics in northern Michigan with SIR-C/X-SAR data. IEEE Transactions on Geoscience and Remote Sensing 1995, 33(4):877-894.
19. Douglas C.M., Peck E.A., Vining G.G. Introduction to Linear Regression Analysis 2006, Wiley & Sons publication, New Jersey. 4th ed.
20. Foody G.M., Boyd D.S., Cutler M.E.J. Predictive relations of tropical forest biomass from Landsat TM data and their transferability between regions. Remote Sensing of Environment 2003, 85(4):463-474.
21. Foody G.M., Green R.M., Curran P.J., Lucas R.M., Honzak M., Do Amaral I. Observations on the relationship between SIR-C radar backscatter and the biomass of regenerating tropical forests. International Journal of Remote Sensing 1997, 18(3):687-694.
22. Fransson J.E.S., Israelsson H. Estimation of stem volume in boreal forests using ERS-1 C- and JERS-1 L-band SAR. International Journal of Remote Sensing 1999, 20(1):123-137.
23. Haralick R.M., Shanmugam K., Dinstein I. Texture features for image classification. IEEE Transactions on Systems, Man and Cybernetics 1973, 3(6):610-621.
24. Harrell P.A., Bourgeau-Chavez L.L., Kasischke, French N.H.F., Christensen N.L. Sensitivity of ERS-1 and JERS-1 Radar data to biomass and stand structure in Alaskan boreal forest. Remote Sensing of Environment 1995, 54(3):247-260.
25. Harrell P.A., Kasischke E.S., Bourgeau-Chavez L.L., Haney E.M., Christensen N.L. Evaluation of approaches aboveground biomass in using SIR-C data. Remote Sensing of Environment 1997, 59(2):223-233.
26. 2 balance - the Earth observation mission Carbon-3D. Remote Sensing of Environment 2005, 94(1):94-104.
27. Hussin Y.A., Reich R.M., Hoffer R.M. Estimating slash pine biomass using radar backscatter. IEEE Transactions on Geoscience and Remote Sensing 1991, 29(3):427-431.
28. Hyde P., Dubayah R., Walker W., Blair J.B., Hofton M., Hunsaker C. Mapping forest structure for wildlife habitat analysis using multi-sensor (LiDAR, SAR/InSAR, ETM+, Quickbird) synergy. Remote Sensing of Environment 2006, 102(1-2):63-73.
29. Hyde P., Nelson R., Kimes D., Levine E. Exploring LiDAR-RaDAR synergy - predicting aboveground biomass in a southwestern ponderosa pine forest using LiDAR, SAR and InSAR. Remote Sensing of Environment 2007, 106(1):28-38.
30. Imhoff M.L. Radar backscatter and biomass saturation: ramification for global biomass inventory. IEEE Transactions on Geoscience and Remote Sensing 1995, 33(2):511-518.
31. Kasischke E.S., Bourgeau-Chavez L.L., Christensen N.L., Haney E. Observations on the sensitivity of ERS-1 SAR image intensity to changes in aboveground biomass in young loblolly pine forests. International Journal of Remote Sensing 1994, 15(1):3-16.
32. Kasischke E.S., Christensen N.L., Bourgeau-Chavez L.L. Correlating Radar backscatter with components of biomass in loblolly pine forests. IEEE Transactions on Geoscience and Remote Sensing 1995, 33(3):643-659.
33. Kasischke E.S., Melack J.M., Dobson M.C. The use of imaging radars for ecological applications - a review. Remote Sensing of Environment 1997, 59(2):141-156.
34. Ketterings Q.M., Coe R., van Noordwijk M., Ambagau Y., Palm C.A. Reducing uncertainty in the use of allometric biomass equations for predicting above-ground tree biomass in mixed secondary forests. Forest Ecology and Management 2001, 146(1-3):199-209.
35. Kuplich, T.M., Curran, P.J., 2003. Estimating texture independently of tone in simulated images of forest canopies. In: Proc. of XIth Brazilian Remote Sensing Symposium, pp. 2209-2216.
36. Kuplich T.M., Curran P.J., Atkinson P.M. Relating SAR image texture to the biomass of regenerating tropical forest. International Journal of Remote Sensing 2005, 26(21):4829-4854.
37. Kurvonen L., Pulliainen J., Hallikainen M. Retrieval of biomass in boreal forests from multitemporal ERS-1 and JERS-1 SAR data. IEEE Transactions on Geoscience and Remote Sensing 1999, 37(1):198-205.
38. Kutner M.H., Nachtsheim C.J., Neter J., Li W. Applied Linear Statistical Models 2005, McGraw-Hill Companies, New York. 5th ed.
39. Le Toan T., Beaudoin A., Riom J., Guyon D. Relating Forest Biomass to SAR Data. IEEE Transactions on Geoscience and Remote Sensing 1992, 30(2):403-411.
40. Lu D. Aboveground biomass estimation using Landsat TM data in the Brazilian Amazon. International Journal of Remote Sensing 2005, 26(12):2509-2525.
41. Lu D. The potential and challenge of remote sensing-based biomass estimation. International Journal of Remote Sensing 2006, 27(7):1297-1328.
42. Lucas R.M., Honza K.M., Curran P.J., Foody G.M., Milne R., Brown T., Amaral S. Mapping the regional extent of tropical forest regeneration stages in the Brazilian Legal Amazon using NOAA AVHRR data. International Journal of Remote Sensing 2000, 21(15):2855-2881.
43. Lucas R.M., Mitchell A.L., Rosenqvist A., Proisy C., Melius A., Ticehurst C. The potential of L-band SAR for quantifying mangrove characteristics and change: case studies from the tropics. Aquatic Conservation: Marine and Freshwater Ecosystem 2007, 17(3):245-264.
44. Luckman A., Baker J., Honzak M., Lucas R. Tropical forest biomass density estimation using JERS-1 SAR: seasonal variation, confidence limits, and application to image mosaics. Remote Sensing of Environment 1998, 63(2):126-139.
45. Luckman A., Frery A.C., Yanasse C.C.F., Groom G.B. Texture in airborne SAR imagery of tropical forest and its relationship to forest regeneration stage. International Journal of Remote Sensing 1997, 18(6):1333-1349.
46. Mette, T., Papathanassiou, K.P., Hajnsek, I., 2004. Biomass estimation from polarimetric SAR interferometry over heterogeneous forest terrain. In: Proc. of Geoscience and Remote Sensing Symposium, IGARSS '04, Anchorage, 20-24 September, pp. 511-514.
47. Mougin E., Proisy C., Marty G., Fromard F., Puig H., Betoulle L., Rudant J.P. Multifrequency and multipolarization Radar backscattering from Mangrove frosts. IEEE Transactions on Geoscience and Remote Sensing 1999, 37(1):94-102.
48. Nelson R.F., Kimes D.S., Salas W.A., Routhier M. Secondary forest age and tropical forest biomass estimation using Thematic Mapper imagery. Bioscience 2000, 50(5):419-431.
49. Nyoungu N.A., Tonye E., Akono A. Evaluation of speckle filtering and texture analysis methods for land cover classification from SAR images. International Journal of Remote Sensing 2002, 23(9):1895-1925.
50. Oliver C.J. Optimum texture estimators for SAR clutter. Journal of Physics D: Applied Physics 1993, 26(11):1824-1835.
51. Oliver C., Quegan S. Understanding Synthetic Aperture Radar Images 2004, SciTech Publication, Raleigh, N.C.
52. Overman J.P.M., Witte H.J.L., Saldarriaga J.G. Evaluation of regression models for above-ground biomass determination in Amazon rainforest. Journal of Tropical Ecology 1994, 10(2):207-218.
53. Papathanassiou K.P., Cloude S.R. Single baseline polarimetric SAR interferometry. IEEE Transactions on Geoscience and Remote Sensing 2001, 39(11):2352-2363.
54. Podest E., Saatchi S. Application of multiscale texture in classifying JERS-1 radar data over tropical vegetation. International Journal of Remote Sensing 2002, 23(7):1487-1506.
55. Ranson K.J., Sun G., Lang R., Chauhan N., Cacciola R., Kilic O. Mapping of boreal forest biomass from spaceborne synthetic aperture radar. Journal of Geophysical Research 1997, 102(D24):29599-29610.
56. Ranson K.J., Saatchi S., Sun G. Boreal forest ecosystem characterization with SIR-C/XSAR. IEEE Transactions on Geoscience and Remote Sensing 1995, 33(4):867-876.
57. Ranson K.J., Sun G., Kharuk V.I., Kovacs K. Characterization of forests in Western Sayani Mountains, Siberia from SAR data. Remote Sensing of Environment 2001, 75(c):188-200.
58. Ranson K.J., Sun G. Mapping biomass of a northern forest using multifrequency SAR data. IEEE Transactions on Geoscience and Remote Sensing 1994, 32(2):388-396.
59. Rauste Y., Hame T., Pulliainen J., Heiska K., Hallikainen M. Radar-based forest biomass estimation. International Journal of Remote Sensing 1994, 15(14):2797-2808.
60. Rignot E., Way J., Williams C., Viereck L. Radar estimates of aboveground biomass in boreal forests of interior Alaska. IEEE Transactions on Geoscience and Remote Sensing 1994, 32(5):1117-1124.
61. Rignot E.J., Zimmermann R., van Zyl J.J. Spaceborne applications of P band imaging Radars for measuring forest biomass. IEEE Transactions on Geoscience and Remote Sensing 1995, 33(5):1162-1169.
62. Rosenqvist Å., Milne A., Lucas R., Imhoff M., Dobson C. A review of remote sensing technology in support of the Kyoto protocol. Environmental Science and Policy 2003, 6(5):441-455.
63. Salas W.A., Ducey M.J., Rignot E., Skole D. Assessment of Jers-1 SAR for monitoring secondary vegetation in Amazonia: I. Spatial and temporal variability in backscatter across chrono-sequence of secondary vegetation stands in Rondonia. International Journal of Remote Sensing 2002, 23(7):1357-1379.
64. Santos J.R., Pardi Lacruz M.S., Araujo L.S., Keil M. Savanna and tropical rainforest biomass estimation and spatialization using JERS-1 data. International Journal of Remote Sensing 2002, 23(7):1217-1229.
65. Santos J.R., Freitas C.C., Araujo L.S., Dutra L.V., Mura J.C., Gama F.F., Soler L.S., Sant'Anna S.J.S. Airborne P-band SAR applied to the aboveground biomass studies in the Brazilian tropical rainforest. Remote Sensing of Environment 2003, 87(4):482-493.
66. Shi J., Dozier J. Mapping seasonal snow with SIR-C/X-SAR in mountainous areas. Remote Sensing of Environment 1997, 59(2):294-307.
67. Steininger M.K. Satellite estimation of tropical secondary forest above-ground biomass: data from Brazil and Bolivia. International Journal of Remote Sensing 2000, 21(6-7):1139-1157.
68. Sun G., Ranson K.J., Kharuk V.I. Radiometric slope correction for forest biomass estimation from SAR data in the western Sayani Mountains, Siberia. Remote Sensing of Environment 2002, 79(2-3):279-287.
69. Townsend P.A. Estimating forest structure in wetlands using multitemporal SAR. Remote Sensing of Environment 2002, 79(2-3):288-304.
70. Tsolmon R., Tateishi R., Tetuko J.S.S. A method to estimate forest biomass and its application to monitor Mongolian Taiga using JERS-1 SAR data. International Journal of Remote Sensing 2002, 23(22):4971-4978.
71. Ulaby F.T., Kouyate F., Brisco B., Williams T.H.L. Textural information in SAR images. IEEE Transactions on Geoscience and Remote Sensing 1986, 24(2):235-240.
72. Unser M. Sum and difference histogram for texture classification. IEEE Transactions on Pattern Analysis and Machine Intelligence 1986, PAMI-8(1):118-125.
73. Wu S. Potential application of multipolarization SAR for pine-plantation biomass estimation. IEEE Transactions on Geoscience and Remote Sensing 1987, 25(3):403-409.
74. Zheng D., Rademacher J., Chen J., Crow T., Bresee M., LE Moine J., Ryu S. Estimating aboveground biomass using Landsat 7 ETM+ data across a managed landscape in northern Wisconsin, USA. Remote Sensing of Environment 2004, 93(3):402-411.