Assessing the Utility of Satellite Imagery with Differing Spatial Resolutions for Deriving Proxy Measures of Slum Presence in Accra, Ghana

References

• Anderson, J. R., Hardy, E. E., Roach, J. T., and R. E. Witmer, 1976, A Land Use and Land Cover Classification System for Use with Remote Sensor Data , Washington, DC: U.S. Government Printing Office, U.S. Geological Survey Paper 964, 36 p.
   Google Scholar
• Anselin, L., Syabri, I., and Y. Kho, 2006, "GeoDa: An Introduction to Spatial Data Analysis," Geographical Analysis , 38:5-22.
   Google Scholar
• Baudot, Y., 2001, "A Method for the Geographical Analysis of the Population of Fast-Growing Cities in the Third World," in Remote Sensing and Urban Analysis , Donnay, J.-P., Barnsley, M. J., and P. A. Longley (Eds.), Boca Raton, FL: CRC Press, 249-268.
   Google Scholar
• Benson, B. J. and M. D. MacKenzie, 1995, "Effects of the MAUP on Image Classification," Geographical Systems , 3:123-141.
   Google Scholar
• Chen, K., 2002, "An Approach to Linking Remotely Sensed Data and Areal Census Data," International Journal of Remote Sensing , 23(1):37-48.
   Google Scholar
• Cohen, J., 1982, "Set Correlation as a General Multivariate Data-Analytic Method," Multivariate Behavioral Research , 17:301-341.
   Google Scholar
• Cross, A. M., Settle, J. J., Drake, N. A., and R. T. M. Paivinen, 1991, "Subpixel Measurement of Tropical Forest Cover Using AVHRR Data," International Journal of Remote Sensing , 12(5):1119-1129.
   Google Scholar
• Cushnie, J. L., 1987, "The Interactive Effect of Spatial Resolution and Degree of Internal Variability within Land-Cover Types on Classification Accuracies," International Journal of Remote Sensing , 8(1):15-29.
   Google Scholar
• Fisher, P., 1997, "The Pixel: A Snare and a Delusion," International Journal of Remote Sensing , 18(3):679-685.
   Google Scholar
• Hair, J. F., Jr., Anderson, R. E., Tatham, R. L., and W. C. Black, 1998, Multivariate Data Analysis , Englewood Cliffs, NJ: Prentice Hall, 768 p.
   Google Scholar
• Herold, M., Gardner, M., Hadely, B., and D. A. Roberts, 2002, "The Spectral Dimension in Urban Land Cover Mapping from High-Resolution Optical Remote Sensing Data," in 3rd International Symposium Remote Sensing of Urban Areas , 11-12 June 2002, Istanbul Technical University, Istanbul, Turkey, 77-91.
   Google Scholar
• Iverson, L. R., Cook, E. A., and R. L. Graham, 1989, "A Technique for Extrapolating and Validating Forest Cover Across Large Regions," International Journal of Remote Sensing , 10(11):1805-1812.
   Google Scholar
• Johansen, K., Phinn, S., and C. Witte, 2010, "Mapping of Riparian Zone Attributes Using Discrete Return LiDAR, QuickBird, and SPOT-5 Imagery: Assessing Accuracy and Costs," Remote Sensing of Environment , 114:2679-2691.
   Google Scholar
• Lu, D. and Q. Weng, 2004, "Spectral Mixture Analysis of the Urban Landscape in Indianapolis with Landsat ETM+ Imagery," Photogrammetric Engineering and Remote Sensing , 70(9):1053-1062.
   Google Scholar
• Marceau, D. J., 1999, "The Scale Issue in Social and Natural Sciences," Canadian Journal of Remote Sensing , 25(4):347-356.
   Google Scholar
• Marceau, D. J., Gratton, D. J., Fournier, R., and J. P. Fortin, 1994, "Remote Sensing and the Measurement of Geographical Entities in a Forested Environment; Part 1: The Scale and Aggregation Problem," Remote Sensing of Environment , 49:93-104.
   Google Scholar
• Marceau, D. J. and G. J. Hay, 1999, "Remote Sensing Contributions to the Scale Issue," Canadian Journal of Remote Sensing , 25(4):357-366.
   Google Scholar
• National Research Council, 2007, Tools and Methods for Estimating Population at Risk from Natural Disasters and Complex Humanitarian Crises , Washington, DC: National Academies Press.
   Google Scholar
• Openshaw, S., 1984, The Modifiable Areal Unit Problem , Norwich, UK: Geobooks, 41 p.
   Google Scholar
• Pellow, D., 2002, Landlords and Lodgers: Spatial Organization in an Accra Community , Westport, CT: Praeger Publishers, 280 p.
   Google Scholar
• Phinn, S., Stanford, M., Scarth, P., Murray, A. T., 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.
   Google Scholar
• Rashed, T., Weeks, J. R., Gadalla, M. S., and A. G. Hill, 2001, "Revealing the Anatomy of Cities through Spectral Mixture Analysis of Multispectral Satellite Imagery: A Case Study of the Greater Cairo Region, Egypt," Geocarto International , 16(4):5-15.
   Google Scholar
• Rashed, T., Weeks, J. R., Stow, D., and D. Fugate, 2005, "Measuring Temporal Compositions of Urban Morphology Through Spectral Mixture Analysis: Toward a Soft Approach to Change Analysis in Crowded Cities," International Journal of Remote Sensing , 26(4):699-718.
   Google Scholar
• Ridd, M., 1995, "Exploring a V-I-S (Vegetation-Impervious Surface-Soil) Model for Urban Ecosystem Analysis Through Remote Sensing: Comparative Anatomy of Cities," International Journal of Remote Sensing , 16(12):2165-2185.
   Google Scholar
• Rindfuss, R. R. and P. C. Stern, 1998, "Linking Remote Sensing and Social Science: The Needs and the Challenge," in People and Pixels , Liverman, D., Moran, E. F., Rindfuss, R. R., and P. C. Stern (Eds.), Washington, DC: National Academy Press.
   Google Scholar
• Rogerson, P. A., 2001, Statistical Methods for Geography. London, UK: SAGE Publications Ltd., 320 p.
   Google Scholar
• Small, C. and J. W. T. Lu, 2006, "Estimation and Vicarious Validation of Urban Vegetation Abundance by Spectral Mixture Analysis," Remote Sensing of Environment , 100:441-456.
   Google Scholar
• Song, C., 2005, "Spectral Mixture Analysis for Subpixel Vegetation Fractions in the Urban Environment: How to Incorporate Endmember Variability?," Remote Sensing of Environment , 95:248-263.
   Google Scholar
• Stoler, J., Weeks, J. R., Getis, A., and A. G. Hill, 2009, "Distance Threshold for the Effect of Urban Agriculture on Elevated Self-Reported Malaria Prevalence in Accra, Ghana," American Journal of Tropical Medicine and Hygiene , 80(4):547-554.
   Google Scholar
• Stow, D. A., Lippitt, C. D., and J. R. Weeks, 2010, "Geographic Object-based Delineation of Neighborhoods of Accra, Ghana using QuickBird Satellite Imagery," Photogrammetric Engineering and Remote Sensing , 76(8):907-914.
   Google Scholar
• Stow, D. A., Lopez, A., Lippitt, C., Hinton, S., and J. R. Weeks, 2007, "Object-Based Classification of Residential Land Use within Accra, Ghana Based on QuickBird Satellite Data," International Journal of Remote Sensing , 28(22):5167-5173.
   Google Scholar
• United Nations, 2010, World Urbanization Prospects: The 2009 Revision , New York, NY: United Nations Population Division, Department of Economic and Social Affairs.
   Google Scholar
• Van Der Meer, F. and S. M. De Jong, 2000, "Improving the Results of Spectral Unmixing of Thematic Mapper Imagery by Enhancing the Orthogonality of Endmembers," International Journal of Remote Sensing , 21(15):2781-2797.
   Google Scholar
• Ward, D., Phinn, S. R., and A. T. Murray, 2000, "Monitoring Growth in Rapidly Urbanizing Areas Using Remotely Sensed Data," The Professional Geographer , 52(3):371-385.
   Google Scholar
• Weeks, J. R., Getis, A., Hill, A. G., Agyei-Mensah, S., and D. Rain, 2010, "Neighborhoods and Fertility in Accra, Ghana: An AMOEBA-Based Approach," Annals of the Association of American Geographers , 100(3):558-578.
   Google Scholar
• Weeks, J. R., Hill, A. G., Getis, A., and D. A. Stow, 2006, "Ethnic Residential Patterns as Predictors of Intra-urban Child Mortality Inequality in Accra, Ghana," Urban Geography , 27(6):526-548.
   Google Scholar
• Weeks, J. R., Hill, A. G., Stow, D. A., Getis, A., and D. Fugate, 2007, "Can We Spot a Neighborhood From the Ground? Defining Neighborhood Structure in Accra, Ghana," Geojournal , 69:9-22.
   Google Scholar
• Wu, C. and A. T. Murray, 2003, "Estimating Impervious Surface Distribution by Spectral Mixture Analysis," Remote Sensing of Environment , 84:493-505.
   Google Scholar
• Wu, C. and A. T. Murray, 2005, "A Cokriging Method for Estimating Population Density in Urban Areas," Computers, Environment and Urban Systems , 29:558-579.
   Google Scholar
• Zhang, J. and G. M. Foody, 1998, "A Fuzzy Classification of Sub-urban Land Cover from Remotely Sensed Imagery," International Journal of Remote Sensing , 19(14):2721-2738.
   Google Scholar