Assessing integration of intensity, polarimetric scattering, interferometric coherence and spatial texture metrics in PALSAR-derived land cover classification

ISPRS Journal of Photogrammetry and Remote Sensing

Volumn 98, Issue , 2014, Pages 70-84

  Jin, Huiran ^a   Mountrakis, Giorgos ^a   Stehman, Stephen V ^b  

^a 402 Baker Laboratory   (United States)

^b STATE UNIVERSITY OF NEW YORK   (United States)

Author keywords

Accuracy assessment; ALOS PALSAR; Dual polarization; Feature synergy; Land cover classification; Stratified sampling

Indexed keywords

COHERENT SCATTERING; DECISION TREES; INTERFEROMETRY; PIXELS; POLARIMETERS; REMOTE SENSING; SYNTHETIC APERTURE RADAR; TEXTURES; VEGETATION;

ACCURACY ASSESSMENT; ALOS/PALSAR; DUAL-POLARIZATIONS; FEATURE SYNERGY; LAND COVER CLASSIFICATION; STRATIFIED SAMPLING;

CLASSIFICATION (OF INFORMATION);

ACCURACY ASSESSMENT; ALOS; INTERFEROMETRY; LAND CLASSIFICATION; LAND COVER; PALSAR; REMOTE SENSING; SPATIOTEMPORAL ANALYSIS; VEGETATION MAPPING;

NEW YORK [UNITED STATES]; UNITED STATES;

EID: 84908658726     PISSN: 09242716     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isprsjprs.2014.09.017     Document Type: Article

References (89)

1. Almeida-Filho R., Shimabukuro Y.E., Rosenqvist A., Sanchez G.A. Using dual-polarized ALOS PALSAR data for detecting new fronts of deforestation in the Brazilian Amazonia. Int. J. Remote Sens. 2009, 30:3735-3743.
2. 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.
3. Baghdadi N., Boyer N., Todoroff P., Hajj M.E., Begue A. Potential of SAR sensors TerraSAR-X, ASAR/ENVISAT and PALSAR/ALOS for monitoring sugarcane crops on reunion island. Remote Sens. Environ. 2009, 113:1724-1738.
4. Bamler R., Hartl P. Synthetic aperture radar interferometry. Inverse Prob. 1998, 14:1-54.
5. Baraldi A., Parmiggiani F. An investigation of the textural characteristic associated with gray level cooccurrence matrix statistical parameters. IEEE Trans. Geosci. Remote Sens. 1995, 33:293-304.
6. Barber D.G., LeDrew E.F. SAR sea ice discrimination using texture statistics: a multivariate approach. Photogram. Eng. Remote Sens. 1991, 57:385-395.
7. Blaes X., Defourny P. Retrieving crop parameters based on tandem ERS 1/2 interferometric coherence images. Remote Sens. Environ. 2003, 88:374-385.
8. Breiman L. Random forests. Mach. Learn. 2001, 45:5-32.
9. Clausi D.A. An analysis of co-occurrence texture statistics as a function of grey level quantization. Can. J. Remote Sens. 2002, 28:45-62.
10. Cloude, S.R., 2007. The dual polarization entropy/alpha decomposition: a PALSAR case study. In: Proceedings of the 3rd International Workshop on Science and Applications of SAR Polarimetry and Polarimetric Interferometry, Frascati, Italy, January 22-26, CD-ROM. European Space Agency, Noordwijk, Netherlands, p. 6.
11. Danklmayer A., Doring B.J., Schwerdt M., Chandra M. Assessment of atmospheric propagation effects in SAR images. IEEE Trans. Geosci. Remote Sens. 2009, 47:3507-3518.
12. Dong J., Xiao X., Chen B., Torbick N., Jin C., Zhang G., Biradar C. Mapping deciduous rubber plantations through integration of PALSAR and multi-temporal landsat imagery. Remote Sens. Environ. 2013, 134:392-402.
13. Dong J., Xiao X., Sheldon S., Biradar C., Xie G. Mapping tropical forests and rubber plantations in complex landscapes by integrating PALSAR and MODIS imagery. ISPRS J. Photogram. Remote Sens. 2012, 74:20-33.
14. Engdahl M.E., Borgeaud M., Rast M. The use of ERS-1/2 tandem interferometric coherence in the estimation of agricultural crop heights. IEEE Trans. Geosci. Remote Sens. 2001, 39:1799-1806.
15. Evans T.L., Costa M., Telmer K., Silva T.S.F. Using ALOS/PALSAR and RADARSAT-2 to map land cover and seasonal inundation in the Brazilian Pantanal. IEEE J. Select. Top. Appl. Earth Observ. Remote Sens. 2010, 3:560-575.
16. Friedl M.A., McIver D.K., Hodges J.C.F., Zhang X.Y., Muchoney D., Strahler A.H., Woodcock C.E., Gopal S., Schneider A., Cooper A., Baccini A., Gao F., Schaaf C. Global land cover mapping from MODIS: algorithms and early results. Remote Sens. Environ. 2002, 83:287-302.
17. Fung A.K. Microwave Scattering and Emission Models and Their Applications 1994, Artech House, Boston, MA.
18. Gislason P.O., Benediktsson J.A., Sveinsson J.R. Random forests for land cover classification. Pattern Recogn. Lett. 2006, 27:294-300.
19. Guo L., Chehata N., Mallet C., Boukir S. Relevance of airborne lidar and multispectral image data for urban scene classification using random forests. ISPRS J. Photogram. Remote Sens. 2011, 66:56-66.
20. Ham J., Chen Y., Crawford M.M., Ghosh J. Investigation of the random forest framework for classification of hyperspectral data. IEEE Trans. Geosci. Remote Sens. 2005, 43:492-501.
21. Hansen M.C., DeFries R.S., Townshend J.R.G., Sohlberg R. Global land cover classification at 1 km spatial resolution using a classification tree approach. Int. J. Remote Sens. 2000, 21:1331-1364.
22. Hanssen R.F. Radar Interferometry: Data Interpretation and Error Analysis 2001, Kluwer Academic Publishers.
23. Haralick R.M., Shanmugam K., Dinstein I. Textural features for image classification. IEEE Trans. Syst. Man Cyber. 1973, 3:610-621.
24. He Q., Cao C., Chen E., Sun G., Ling F., Pang Y., Zhang H., Ni W., Xu M., Li Z., Li X. Forest stand biomass estimation using ALOS PALSAR data based on LiDAR-derived prior knowledge in the Qilian mountain, Western China. Int. J. Remote Sens. 2012, 33:710-729.
25. Homer C., Huang C., Yang L., Wylie B.K., Coan M. Development of a 2001 national land-cover database for the United States. Photogram. Eng. Remote Sens. 2004, 70:829-840.
26. Homer C., Dewitz J., Fry J., Coan M., Hossain N., Larson C., Herold N., McKerrow A., VanDriel J.N., Wickham J. Completion of the 2001 national land cover database for the conterminous United States. Photogram. Eng. Remote Sens. 2007, 73:337-341.
27. Hoen E.W., Zebker H. Penetration depths inferred from interferometric volume decorrelation observed over the greenland ice sheet. IEEE Trans. Geosci. Remote Sens. 2000, 38:2571-2583.
28. Hyyppa J., Hyyppa H., Inkinen M., Engdahl M., Linko S., Zhu Y. Accuracy comparison of various remote sensing data sources in the retrieval of forest stand attributes. For. Ecol. Manage. 2000, 128:109-120.
29. JAXA (Japan Aerospace Exploration Agency), 2014. Advanced Land Observing Satellite-2 "DAICHI-2" (ALOS-2), <> (accessed 02.08.14). http://www.global.jaxa.jp/projects/sat/alos2/index.html.
30. Joyce K.E., Samsonov S., Manville V., Jongens R., Graettinger A., Cronin S.J. Remote sensing data types and techniques for lahar path detection: a case study at Mt Ruapehu, New Zealand. Remote Sens. Environ. 2009, 113:1778-1786.
31. Koskinen J.T., Pulliainen J.T., Hyyppa J.M., Engdahl M.E., Hallikainen M.T. The seasonal behavior of interferometric coherence in boreal forest. IEEE Trans. Geosci. Remote Sens. 2001, 39:820-829.
32. Kuplich T.M., Curran P.J., Atkinson P.M. Relating SAR image texture to the biomass of regenerating tropical forest. Int. J. Remote Sens. 2005, 26:4829-4854.
33. Lawrence R.L., Wood S.D., Sheley R.L. Mapping invasive plants using hyperspectral imagery and breiman cutler classifications (RandomForest). Remote Sens. Environ. 2006, 100:356-362.
34. Le Toan T., Beaudoin A., Riom J., Guyon D. Relating forest biomass to SAR data. IEEE Trans. Geosci. Remote Sens. 1992, 30:403-411.
35. Longepe N., Rakwatin P., Isoguchi O., Shimada M., Uryu Y., Yulianto K. Assessment of ALOS PALSAR 50 m Orthorectified FBD Data for Regional Land Cover Classification by Support Vector Machines. IEEE Trans. Geosci. Remote Sens. 2011, 49:2135-2150.
36. Lonnqvist A., Rauste Y., Molinier M., Hame T. Polarimetric SAR data in land cover mapping in boreal zone. IEEE Trans. Geosci. Remote Sens. 2010, 48:3652-3662.
37. Lopes A., Touzi R., Nezry E. Adaptive speckle filters and scene heterogeneity. IEEE Trans. Geosci. Remote Sens. 1990, 28:992-1000.
38. Lopez-Sanchez J.M., Ballester-Berman J.D., Hajnsek I. First results of rice monitoring practices in Spain by means of time series of TerraSAR-X Dual-Pol images. IEEE J. Selec. Top. Appl. Earth Observ. Remote Sens. 2011, 4:412-422.
39. Lopez-Sanchez J.M., Cloude S.R., Ballester-Berman J.D. Rice phenology monitoring by means of SAR polarimetry at X-band. IEEE Trans. Geosci. Remote Sens. 2012, 50:2695-2709.
40. Martinuzzi S., Vierling L.A., Gould W.A., Falkowski M.J., Evans J.S., Hudak A.T., Vierling K.T. Mapping snags and understory shrubs for a LiDAR-based assessment of wildlife habitat suitability. Remote Sens. Environ. 2009, 113:2533-2546.
41. McNairn H., Shang J., Jiao X., Champagne C. The contribution of ALOS PALSAR multipolarization and polarimetric data to crop classification. IEEE Trans. Geosci. Remote Sens. 2009, 47:3981-3992.
42. Meyer F.J., Mahoney A.R., Eicken H., Denny C.L., Druckenmiller H.C., Hendricks S. Mapping arctic landfast ice extent using L-band synthetic aperture radar interferometry. Remote Sens. Environ. 2011, 115:3029-3043.
43. Miettinen J., Liew S.C. Separability of insular Southeast Asian woody plantation species in the 50 m resolution ALOS PALSAR mosaic product. Remote Sens. Lett. 2011, 2:299-307.
44. Olofsson P., Foody G.M., Herold M., Stehman S.V., Woodcock C.E., Wulder M.A. Good practices for estimating area and assessing accuracy of land change. Remote Sens. Environ. 2014, 148:42-57.
45. Pal M. Random forest classifier for remote sensing classification. Int. J. Remote Sens. 2005, 26:217-222.
46. Pal M., Mather P.M. An assessment of the effectiveness of decision tree methods for land cover classification. Remote Sens. Environ. 2003, 86:554-565.
47. Pohl C., van Genderen J.L. Multisensor image fusion in remote sensing: concepts, methods and applications. Int. J. Remote Sens. 1998, 19:823-854.
48. Pottier, E., Ferro-Famil, L., Allain, S., Cloude, S.R., Hajnsek, I., Papathanassiou, K., Moreira, A., Williams, M., Minchella, A., Lavalle, M., Desnos, Y.-L., 2009. Overview of the PolSARpro V4.0 software: the open source toolbox for polarimetric and interferometric polarimetric SAR data processing. In: Proceedings of 2009 IEEE International Geoscience and Remote Sensing Symposium, Cape Town, South Africa, July 12-17, vol. 4, pp. 936-939.
49. Pulliainen J., Engdahl M., Hallikainen M. Feasibility of multi-temporal interferometric SAR data for stand-level estimation of boreal forest stem volume. Remote Sens. Environ. 2003, 85:397-409.
50. Qi Z., Yeh A.G., Li X., Lin Z. A novel algorithm for land use and land cover classification using RADARSAT-2 polarimetric SAR data. Remote Sens. Environ. 2012, 118:21-39.
51. Rauste Y. Multi-temporal JERS SAR data in boreal forest biomass mapping. Remote Sens. Environ. 2005, 97:263-275.
52. Richards J.A., Jia X. Remote Sensing Digital Image Analysis: An Introduction 1999, Springer-Verlag, Berlin.
53. Rignot E., Echelmeyer K., Krabill W. Penetration depth of interferometric synthetic-aperture radar signals in snow and ice. Geophys. Res. Lett. 2001, 28:3501-3504.
54. Rosenqvist A., 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.
55. 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.
56. Santoro M., Fransson J.E.S., Eriksson L.E.B., Ulander L.M.H. Clear-cut detection in swedish boreal forest using multi-temporal ALOS PALSAR backscatter data. IEEE J. Selec. Top. Appl. Earth Observ. Remote Sens. 2010, 3:618-631.
57. 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.
58. 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.
59. Seymour, M.S., Cumming, I.G., 1994. Maximum likelihood estimation for SAR interferometry. In: Proceedings of the 1994 IEEE International Geosciences and Remote Sensing Symposium, Pasadena, CA, August 8-12, vol. 4, pp. 2272-2275.
60. Shimada M., Isoguchi O., Tadono T., Isono K. PALSAR radiometric and geometric calibration. IEEE Trans. Geosci. Remote Sens. 2009, 47:3915-3932.
61. Simard M., Saatchi S.S., De Grandi G. The use of decision tree and multiscale texture for classification of JERS-1 SAR data over tropical forest. IEEE Trans. Geosci. Remote Sens. 2000, 38:2310-2321.
62. Smith G., Askne J. Clear-CUT DETECTION USING ERS interferometry. Int. J. Remote Sens. 2001, 22:3651-3664.
63. Soh L., Tsatsoulis C. Texture analysis of SAR sea ice imagery using gray level co-occurrence matrices. IEEE Trans. Geosci. Remote Sens. 1999, 37:780-795.
64. Stehman S.V. Practical implications of design-based sampling inference for thematic map accuracy assessment. Remote Sens. Environ. 2000, 72:35-45.
65. Stehman S.V. Design, analysis, and inference for studies comparing thematic accuracy of classified remotely sensed data: a special case of map comparison. J. Geogr. Syst. 2006, 8:209-226.
66. Stehman S.V. Estimating area and map accuracy for stratified random sampling when the strata are different from the map classes. Int. J. Remote Sens. 2014, 35:4923-4939.
67. Stehman S.V., Foody G.M. Accuracy assessment. The SAGE Handbook of Remote Sensing 2009, 297-309. Sage Publications, London. T.A. Warner, M.D. Nellis, G.M. Foody (Eds.).
68. Stehman S.V., Czaplewski R.L. Design and analysis for thematic map accuracy assessment: fundamental principles. Remote Sens. Environ. 1998, 64:331-344.
69. Story M., Congalton R.G. Accuracy assessment: a user's perspective. Photogram. Eng. Remote Sens. 1986, 52:397-399.
70. Sun G., Ranson K.J., Guo Z., Zhang Z., Montesano P., Kimes D. Forest biomass mapping from lidar and radar synergies. Remote Sens. Environ. 2011, 115:2906-2916.
71. Tanase M.A., Santoro M., Wegmuller U., de la Riva J., Perez-Cabello F. Properties of X-, C- and L-band repeat-pass interferometric SAR coherence in mediterranean pine forests affected by fires. Remote Sens. Environ. 2010, 114:2182-2194.
72. Tanase M., de la Riva J., Santoro M., Perez-Cabello F., Kasischke E. Sensitivity of SAR data to post-fire forest regrowth in mediterranean and boreal forests. Remote Sens. Environ. 2011, 115:2075-2085.
73. Thiel C.J., Thiel C., Schmullius C.C. Operational large-area forest monitoring in siberia using ALOS PALSAR summer intensities and winter coherence. IEEE Trans. Geosci. Remote Sens. 2009, 47:3993-4000.
74. Thiel C., Schmullius C. Investigating ALOS PALSAR interferometric coherence in central Siberia at unfrozen and frozen conditions: implications for forest growing stock volume estimation. Can. J. Remote Sens. 2013, 39:232-250.
75. Timm B.C., McGarigal K. Fine-scale remotely-sensed cover mapping of coastal dune and salt marsh ecosystems at cape cod national seashore using random forests. Remote Sens. Environ. 2012, 127:106-117.
76. Torbick N., Salas W.A., Hagen S., Xiao X. Monitoring rice agriculture in the sacramento valley, USA with multitemporal PALSAR and MODIS imagery. IEEE J. Select. Top. Appl. Earth Observ. Remote Sens. 2011, 4:451-457.
77. Ulaby F.T., Moore R.K., Fung A.K. Microwave Remote Sensing: Active and Passive, Volume 3, From Theory to Applications 1986, Artech House, Norwood, MA.
78. van de Wouwer G., Scheunders P., van Dyck D. Statistical texture characterization from discrete wavelet representations. IEEE Trans. Image Process. 1999, 8:592-598.
79. van der Sanden J.J., Hoekman D.H. Potential of airborne radar to support the assessment of land cover in a tropical rain forest environment. Remote Sens. Environ. 1999, 68:26-40.
80. Wagner W., Luckman A., Vietmeier J., Tansey K., Balzter H., Schmullius C., Davidson M., Gaveau D., Gluck M., Toan T.L., Quegan S., Shvidenko A., Wiesmann A., Yu J.J. Large-scale mapping of boreal forest in SIBERIA using ERS tandem coherence and JERS backscatter data. Remote Sens. Environ. 2003, 85:125-144.
81. Walker W.S., Stickler C.M., Kellndorfer J.M., Kirsch K.M., Nepstad D.C. Large-area classification and mapping of forest and land cover in the Brazilian Amazon: a comparative analysis of ALOS/PALSAR and landsat data sources. IEEE J. Select. Top. Appl. Earth Observ. Remote Sens. 2010, 3:594-604.
82. Wang C., Wu J., Zhang Y., Pan G., Qi J., Salas W.A. Characterizing L-band Scattering of paddy rice in southeast China with radiative transfer model and multitemporal ALOS/PALSAR imagery. IEEE Trans. Geosci. Remote Sens. 2009, 47:988-998.
83. Wang Y., Allen T.R. Estuarine shoreline change detection using Japanese ALOS PALSAR HH and JERS-1 L-HH SAR data in the Albemarle-Pamlico Sounds, North Carolina, USA. Int. J. Remote Sens. 2008, 29:4429-4442.
84. Waske B., Benediktsson J.A. Fusion of support vector machines for classification of multisensor data. IEEE Trans. Geosci. Remote Sens. 2007, 45:3858-3866.
85. Waske B., Braun M. Classifier ensembles for land cover mapping using multitemporal SAR imagery. ISPRS J. Photogram. Remote Sens. 2009, 64:450-457.
86. Wolter P.T., Townsend P.A. Multi-sensor data fusion for estimating forest species composition and abundance in northern minnesota. Remote Sens. Environ. 2011, 115:671-691.
87. Zebker H.A., Villasenor J. Decorrelation in interferometric radar echoes. IEEE Trans. Geosci. Remote Sens. 1992, 30:950-959.
88. Zhang K., Ng A.H., Ge L., Dong Y., Rizos C. Multi-Path PALSAR interferometric observations of the 2008 magnitude 8.0 Wenchuan earthquake. Int. J. Remote Sens. 2010, 31:3449-3463.
89. Zhang Y., Wang C., Wu J., Qi J., Salas W.A. Mapping paddy rice with multitemporal ALOS/PALSAR imagery in Southeast China. Int. J. Remote Sens. 2009, 30:6301-6315.