Phenology-based temporal mixture analysis for estimating large-scale impervious surface distributions

International Journal of Remote Sensing

Volumn 35, Issue 2, 2014, Pages 779-795

  Li, Wenliang ^a   Wu, Changshan ^a  

^a UNIVERSITY OF WISCONSIN MILWAUKEE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGY; FORESTRY; MEAN SQUARE ERROR; RADIOMETERS;

AUTOMATED ESTIMATION; COMPARATIVE ANALYSIS; ENVIRONMENTAL QUALITY; IMPERVIOUS SURFACE AREA; IMPERVIOUS SURFACE ESTIMATION; ROOT MEAN SQUARE ERRORS; SPECTRAL MIXTURE ANALYSIS; URBAN IMPERVIOUS SURFACES;

MIXTURES;

EID: 84892964885     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161.2013.873147     Document Type: Article

References (53)

1. Arnold, C. L., and C. J. Gibbons. 1996. "Impervious Surface Coverage - The Emergence of a Key Environmental Indicator." Journal of the American Planning Association 62 (2): 243-258. doi:10.1080/01944369608975688.
2. Bauer, M. E., J. J. Heinert, J. K. Doyle, and F. Yuan. 2004. "Impervious Surface Mapping and Change Monitoring Using Landsat Remote Sensing." Paper presented at the ASPRS Annual Conference Proceedings, Denver, CO, May 23-28.
3. Demarchi, L., F. Canters, J. C. Chan, and T. Van de Voorde. 2012. "Multiple Endmember Unmixing of CHRIS/Proba Imagery for Mapping Impervious Surfaces in Urban and Suburban Environments." IEEE Transactions on Geoscience and Remote Sensing 50 (9): 3409-3424. doi:10.1109/tgrs.2011.2181853.
4. Elvidge, C. D., B. T. Tuttle, P. S. Sutton, K. E. Baugh, A. T. Howard, C. Milesi, B. L. Bhaduri, and R. Nemani. 2007. "Global Distribution and Density of Constructed Impervious Surfaces." Sensors 7 (9): 1962-1979. doi:10.3390/s7091962.
5. Foody, G. M., and D. P. Cox. 1994. "Sub-Pixel Land-Cover Composition Estimation Using a Linear Mixture Model and Fuzzy Membership Functions." International Journal of Remote Sensing 15 (3): 619-631.
6. Franke, J., D. A. Roberts, K. Halligan, and G. Menz. 2009. "Hierarchical Multiple Endmember Spectral Mixture Analysis (MESMA) of Hyperspectral Imagery for Urban Environments." Remote Sensing of Environment 113 (8): 1712-1723. doi:10.1016/j.rse.2009.03.018.
7. Fry, J. A., G. Xian, S. Jin, J. A. Dewitz, C. G. Homer, L. Yang, C. A. Barnes, N. D. Herold, and J. D. Wickham. 2012. "Completion of the 2006 National Land Cover Database Update for the Conterminous United States." Photogrammetric Engineering and Remote Sensing 77: 858-864.
8. Goodwin, N., N. C. Coops, and C. Stone. 2005. "Assessing Plantation Canopy Condition from Airborne Imagery Using Spectral Mixture Analysis and Fractional Abundances." International Journal of Applied Earth Observation and Geoinformation 7 (1): 11-28. doi:http://dx.doi.org/10.1016/j.jag.2004.10.003
9. Green, A. A., M. Berman, P. Switzer, and M. D. Craig. 1988. "A Transformation for Ordering Multispectral Data in Terms of Image Quality with Implications for Noise Removal." IEEE Transactions on Geoscience and Remote Sensing 26 (1): 65-74. doi:10.1109/36.3001.
10. Grubler, A. 1994. "Technology and Global Change: Land-Use, Past and Present" In Changes in Land Use and Land Cover: A Global Perspective, edited by W. B. Merye, and B. L. Turner London: Cambridge University Press.
11. Guttikunda, S. K., G. R. Carmichael, G. Calori, C. Eck, and J. H. Woo. 2003. "The Contribution of Megacities to Regional Sulfur Pollution in Asia." Atmospheric Environment 37 (1): 11-22. doi:10.1016/s1352-2310(02)00821-x.
12. Huang, C., and J. R. G. Townshend. 2003. "A Stepwise Regression Tree for Nonlinear Approximation: Applications to Estimating Subpixel Land Cover." International Journal of Remote Sensing 24 (1): 75-90. doi:10.1080/01431160110115032.
13. Jantz, C. A., S. J. Goetz, and M. K. Shelley. 2004. "Using the SLEUTH Urban Growth Model to Simulate the Impacts of Future Policy Scenarios on Urban Land Use in the Baltimore - Washington Metropolitan Area." Environment and Planning B: Planning and Design 31 (2): 251-271.
14. Knight, J., and M. Voth. 2011. "Mapping Impervious Cover Using Multi-Temporal MODIS NDVI Data." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 4 (2): 303-309. doi:10.1109/jstars.2010.2051535.
15. Lee, S., and R. G. Lathrop. 2006. "Subpixel Analysis of Landsat ETM+ Using Self-Organizing Map (SOM) Neural Networks for Urban Land Cover Characterization." IEEE Transactions on Geoscience and Remote Sensing 44 (6): 1642-1654. doi:10.1109/tgrs.2006.869984.
16. Lin, G. C. S., and S. P. S. Ho. 2003. "China's Land Resources and Land-Use Change: Insights from the 1996 Land Survey." Land Use Policy 20 (2): 87-107. doi:10.1016/s0264-8377(03)00007-3.
17. Lu, D., and Q. Weng. 2004. "Spectral Mixture Analysis of the Urban Landscape in Indianapolis with Landsat ETM Plus Imagery." Photogrammetric Engineering and Remote Sensing 70 (9): 1053-1062.
18. Lu, D., and Q. Weng. 2006. "Use of Impervious Surface in Urban Land-Use Classification." Remote Sensing of Environment 102 (1-2): 146-160. doi:10.1016/j.rse.2006.02.010.
19. Madhavan, B. B., S. Kubo, N. Kurisaki, and T. Sivakumar. 2001. "Appraising the Anatomy and Spatial Growth of the Bangkok Metropolitan Area Using a Vegetation-Impervious-Soil Model Through Remote Sensing." International Journal of Remote Sensing 22 (5): 789-806. doi:10.1080/01431160051060200.
20. Newman, P., and J. R. Kenworthy. 1999. Sustainability and Cities: Overcoming Automobile Dependence. Washington, DC: Island Press.
21. Pauleit, S., and F. Duhme. 2000. "Assessing the Environmental Performance of Land Cover Types for Urban Planning." Landscape and Urban Planning 52 (1): 1-20. doi:10.1016/s0169-2046(00)00109-2.
22. Phinn, S., M. Stanford, P. Scarth, A. T. Murray, and P. T. Shyy. 2002. "Monitoring the Composition of Urban Environments Based on the Vegetation-Impervious Surface-Soil (VIS) Model by Subpixel Analysis Techniques." International Journal of Remote Sensing 23 (20): 4131-4153. doi:10.1080/01431160110114998.
23. Pielke, R. A. 2005. "Land Use and Climate Change." Science 310 (5754): 1625-1626. doi:10.1126/science.1120529.
24. Powell, R. L., D. A. Roberts, P. E. Dennison, and L. L. Hess. 2007. "Sub-Pixel Mapping of Urban Land Cover Using Multiple Endmember Spectral Mixture Analysis: Manaus, Brazil." Remote Sensing of Environment 106 (2): 253-267. doi:10.1016/j.rse.2006.09.005.
25. Pu, R., P. Gong, R. Michishita, and T. Sasagawa. 2008. "Spectral Mixture Analysis for Mapping Abundance of Urban Surface Components from the Terra/ASTER Data." Remote Sensing of Environment 112 (3): 939-954. doi:10.1016/j.rse.2007.07.005.
26. Roberts, D. A., M. Gardner, R. Church, S. Ustin, G. Scheer, and R. O. Green. 1998. "Mapping Chaparral in the Santa Monica Mountains Using Multiple Endmember Spectral Mixture Models." Remote Sensing of Environment 65 (3): 267-279. doi:10.1016/s0034-4257(98)00037-6.
27. Rosso, P. H., S. L. Ustin, and A. Hastings. 2005. "Mapping Marshland Vegetation of San Francisco Bay, California, Using Hyperspectral Data." International Journal of Remote Sensing 26 (23): 5169-5191.
28. Samanta, A., S. Ganguly, E. Vermote, R. R. Nemani, and R. B. Myneni. 2012. "Interpretation of Variations in MODIS-Measured Greenness Levels of Amazon Forests During 2000 to 2009." Environmental Research Letters 7 (2): 024018.
29. Sexton, J. O., X. Song, C. Huang, S. Channan, M. E. Baker, and J. R. Townshend. 2013. "Urban Growth of the Washington, D.C.-Baltimore, MD Metropolitan Region from 1984 to 2010 by Annual, Landsat-Based Estimates of Impervious Cover." Remote Sensing of Environment 129: 42-53. doi:http://dx.doi.org/10.1016/j.rse.2012.10.025.
30. Stevens, D., S. Dragicevic, and K. Rothley. 2007. "ICity: A GIS-CA Modelling Tool for Urban Planning and Decision Making." Environmental Modelling & Software 22 (6): 761-773. doi:10.1016/j.envsoft.2006.02.004.
31. Sung, C., and M. Li. 2012. "Considering Plant Phenology for Improving the Accuracy of Urban Impervious Surface Mapping in a Subtropical Climate Regions." International Journal of Remote Sensing 33 (1): 261-275. doi:10.1080/01431161.2011.591445.
32. Van Metre, P. C., and B. J. Mahler. 2005. "Trends in Hydrophobic Organic Contaminants in Urban and Reference Lake Sediments Across the United States, 1970-2001." Environmental Science & Technology 39 (15): 5567-5574. doi:10.1021/es0503175.
33. Ward, D., S. R. Phinn, and A. T. Murray. 2000. "Monitoring Growth in Rapidly Urbanizing Areas Using Remotely Sensed Data." Professional Geographer 52 (3): 371-386. doi:10.1111/0033-0124.00232.
34. Weng, Q. 2012. "Remote Sensing of Impervious Surfaces in the Urban Areas: Requirements, Methods, and Trends." Remote Sensing of Environment 117: 34-49. doi:10.1016/j.rse.2011.02.030.
35. Weng, Q., and X. Hu. 2008. "Medium Spatial Resolution Satellite Imagery for Estimating and Mapping Urban Impervious Surfaces Using LSMA and ANN." IEEE Transactions on Geoscience and Remote Sensing 46 (8): 2397-2406. doi:10.1109/tgrs.2008.917601.
36. Weng, Q., X. Hu, and H. Liu. 2009. "Estimating Impervious Surfaces Using Linear Spectral Mixture Analysis with Multitemporal ASTER Images." International Journal of Remote Sensing 30 (18): 4807-4830. doi:10.1080/01431160802665926.
37. Wu, C. 2004. "Normalized Spectral Mixture Analysis for Monitoring Urban Composition Using ETM Plus Imagery." Remote Sensing of Environment 93 (4): 480-492. doi:10.1016/j.rse.2004.08.003.
38. Wu, C. 2009. "Quantifying High-Resolution Impervious Surfaces Using Spectral Mixture Analysis." International Journal of Remote Sensing 30 (11): 2915-2932. doi:10.1080/01431160802558634.
39. Wu, C., and A. T. Murray. 2003. "Estimating Impervious Surface Distribution by Spectral Mixture Analysis." Remote Sensing of Environment 84 (4): 493-505. doi:10.1016/s0034-4257(02)00136-0.
40. Wu, C., and F. Yuan. 2007. "Seasonal Sensitivity Analysis of Impervious Surface Estimation with Satellite Imagery." Photogrammetric Engineering and Remote Sensing 73 (12): 1393-1401.
41. Wu, J. 2010. "Urban Sustainability: An Inevitable Goal of Landscape Research." Landscape Ecology 25 (1): 1-4. doi:10.1007/s10980-009-9444-7.
42. Wu, J., G. D. Jenerette, A. Buyantuyev, and C. L. Redman. 2011. "Quantifying Spatiotemporal Patterns of Urbanization: The Case of the Two Fastest Growing Metropolitan Regions in the United States." Ecological Complexity 8 (1): 1-8. doi:10.1016/j.ecocom.2010.03.002.
43. Xian, G., and M. Crane. 2005. "Assessments of Urban Growth in the Tampa Bay Watershed Using Remote Sensing Data." Remote Sensing of Environment 97 (2): 203-215. doi:10.1016/j.rse.2005.04.017.
44. Xian, G., and C. Homer. 2010. "Updating the 2001 National Land Cover Database Impervious Surface Products to 2006 Using Landsat Imagery Change Detection Methods." Remote Sensing of Environment 114 (8): 1676-1686. doi:10.1016/j.rse.2010.02.018.
45. Yang, F., B. Matsushita, and T. Fukushima. 2010. "A Pre-Screened and Normalized Multiple Endmember Spectral Mixture Analysis for Mapping Impervious Surface Area in Lake Kasumigaura Basin, Japan." ISPRS Journal of Photogrammetry and Remote Sensing 65 (5): 479-490. doi:10.1016/j.isprsjprs.2010.06.004.
46. Yang, F., B. Matsushita, T. Fukushima, and W. Yang. 2012. "Temporal Mixture Analysis for Estimating Impervious Surface Area from Multi-Temporal MODIS NDVI Data in Japan." ISPRS Journal of Photogrammetry and Remote Sensing 72: 90-98. doi:10.1016/j.isprsjprs.2012.05.016.
47. Yang, L., L. Jiang, H. Lin, and M. Liao. 2009. "Quantifying Sub-Pixel Urban Impervious Surface Through Fusion of Optical and InSAR Imagery." Giscience & Remote Sensing 46 (2): 161-171. doi:10.2747/1548-1603.46.2.161.
48. Yang, L. M., C. Q. Huang, C. G. Homer, B. K. Wylie, and M. J. Coan. 2003. "An Approach for Mapping Large-Area Impervious Surfaces: Synergistic Use of Landsat-7 ETM+ and High Spatial Resolution Imagery." Canadian Journal of Remote Sensing 29 (2): 230-240.
49. Yang, L. M., G. Xian, J. M. Klaver, and B. Deal. 2003. "Urban Land-Cover Change Detection Through Sub-Pixel Imperviousness Mapping Using Remotely Sensed Data." Photogrammetric Engineering and Remote Sensing 69 (9): 1003-1010.
50. Yuan, F., M. E. Bauer, N. J. Heinert, and G. R. Holden. 2005. "Multi Level Land Cover Mapping of the Twin Cities (Minnesota) Metropolitan Area with Multi Seasonal Landsat TM/ETM+ Data." Geocarto International 20 (2): 5-13. doi:10.1080/10106040508542340.
51. Yuan, F., C. Wu, and M. E. Bauer. 2008. "Comparison of Spectral Analysis Techniques for Impervious Surface Estimation Using Landsat Imagery." Photogrammetric Engineering and Remote Sensing 74 (8): 1045-1055.
52. Zang, S., C. Wu, H. Liu, and X. Na. 2011. "Impact of Urbanization on Natural Ecosystem Service Values: A Comparative Study." Environmental Monitoring and Assessment 179 (1-4): 575-588. doi:10.1007/s10661-010-1764-1.
53. Zhou, L. M., R. E. Dickinson, Y. H. Tian, J. Y. Fang, Q. X. Li, R. K. Kaufmann, C. J. Tucker, and R. B. Myneni. 2004. "Evidence for a Significant Urbanization Effect on Climate in China." Proceedings of the National Academy of Sciences of the United States of America 101 (26): 9540-9544. doi:10.1073/pnas.0400357101.