Modelling housing unit density from land cover metrics: a Midwestern US example

References

• Adeniyi , P. O. 1983 . An aerial photographic method for estimating urban population . Photogrammetric engineering and remote sensing , 49 : 545 – 560 .
   Web of Science ®Google Scholar
• Barredo , J. and Demicheli , L. 2003 . Urban sustainability in developing countries' megacities: modelling and predicting future urban growth in Lagos . Cities , 20 : 297 – 310 .
   Web of Science ®Google Scholar
• Barredo , J. , Demicheli , L. , Lavalle , C. , Kasanko , M. and McCormick , N. 2004 . Modelling future urban scenarios in developing countries: an application case study in Lagos, Nigeria . Environment and planning B: planning and design , 32 : 65 – 84 .
   Web of Science ®Google Scholar
• Chander , G. and Markham , B. L. 2003 . Revised Landsat 5 TM radiometric calibration procedures and post-calibration dynamic ranges . IEEE transactions on geoscience and remote sensing , 41 : 2674 – 2677 .
   Web of Science ®Google Scholar
• Chavez , P. S. 1996 . Image-based atmospheric corrections––revisited and improved . Photogrammetric engineering and remote sensing , 62 : 1025 – 1036 .
   Web of Science ®Google Scholar
• Dai , X. and Khorram , S. 1998 . The effects of image misregistration on the accuracy of remotely sensed change detection . IEEE Transactions on geoscience and remote sensing , 36 : 1566 – 1577 .
   Web of Science ®Google Scholar
• Draper , N. R. and Smith , H. 1981 . Applied regression analysis , 2nd edn. , New York : John Wiley & Sons .
   Google Scholar
• Field , A. 2005 . Discovering statistics using SPSS , 2nd edn. , London : Sage .
   Google Scholar
• Fisher , P. F. and Langford , M. 1996 . Modeling sensitivity to accuracy in classified imagery: a study of areal interpolation by dasymetric mapping . Professional geographer , 48 : 299 – 309 .
   Web of Science ®Google Scholar
• Green , N. A. 1956 . Aerial photographic analysis of residential neighborhoods: an evaluation of data accuracy . Social forces , 35 : 142 – 147 .
   Web of Science ®Google Scholar
• Green , N. A. 1957 . Aerial photographic interpretation and the social structure of the city . Photogrammetric engineering and remote sensing , 23 : 89 – 99 .
   Google Scholar
• Hardin , P. J. , Jackson , M. W. and Shumway , J. M. 2007 . “ Intraurban population estimation using remotely sensed imagery ” . In Geo-spatial technologies in urban environments: policy, practice, and pixels , Edited by: Jensen , R. R. , Gatrell , J. D. and McClean , D. D. 47 – 92 . Berlin : Springer-Verlag .
   Google Scholar
• Harvey , J. T. 2002a . Estimating census district populations from satellite imagery: some approaches and limitations . International journal of remote sensing , 23 : 2071 – 2095 .
   Web of Science ®Google Scholar
• Harvey , J. T. 2002b . Population estimation models based on individual TM pixels . Photogrammetric engineering and remote sensing , 68 : 1181 – 1192 .
   Web of Science ®Google Scholar
• Herold , M. , Scepan , J. and Clarke , K. C. 2002 . The use of remote sensing and landscape metrics to describe structures and changes in urban land uses . Environment and planning A , 34 : 1443 – 1458 .
   Web of Science ®Google Scholar
• Herold , M. , Goldstein , N. C. and Clarke , K. C. 2003a . The spatiotemporal form of urban growth: measurement, analysis and modeling . Remote sensing of environment , 86 : 286 – 302 .
   Web of Science ®Google Scholar
• Herold , M. , Liu , X. H. and Clarke , K. C. 2003b . Spatial metrics and image texture for mapping urban land use . Photogrammetric engineering and remote sensing , 69 : 991 – 1001 .
   Web of Science ®Google Scholar
• Iisaka , J. and Hegedus , E. 1982 . Population estimation from Landsat imagery . Remote sensing of environment , 12 : 259 – 272 .
   Web of Science ®Google Scholar
• James , M. 1985 . Classification algorithms , New York : Wiley-InterScience .
   Google Scholar
• Ji , W. , Ma , J. , Twibell , R. W. and Underhill , K. 2006 . Characterizing urban sprawl using multi-stage remote sensing images and landscape metrics . Computers, environment and urban systems , 30 : 861 – 879 .
   Web of Science ®Google Scholar
• Kim , K.-H. and Pauleit , S. 2005 . Landscape metrics to assess the ecological conditions of city regions: application to Kwangju City, South Korea . International Journal of sustainable development and world ecology , 12 : 227 – 244 .
   Web of Science ®Google Scholar
• Kraus , S. P. , Senger , L. W. and Ryerson , J. M. 1974 . Estimating population from photographically determined residential land use types . Remote sensing of environment , 3 : 35 – 42 .
   Google Scholar
• Langford , D. M. , Maguire , D. J. and Unwin , D. J. 1991 . “ The areal interpolation problem: estimating population using remote sensing in a GIS framework ” . In Handling geographic information: methodology and potential applications , Edited by: Masser , I. and Blakemore , M. 55 – 77 . New York : Longman Scientific and Technical .
   Google Scholar
• Li , G. and Weng , Q. 2005 . Using Landsat ETM + imagery to measure population density in Indianapolis, Indiana, USA . Photogrammetric engineering and remote sensing , 71 : 947 – 958 .
   Web of Science ®Google Scholar
• Li , G. and Weng , Q. 2007 . Measuring the quality of life in the city of Indianapolis by integration of remote sensing and census data . International Journal of remote sensing , 28 : 249 – 267 .
   Web of Science ®Google Scholar
• Liverman D. M. Moran E. F. Rindfuss R. R. Stern P. C People and pixels: linking remote sensing and social science National Academy Press Washington, DC 1998
   Google Scholar
• Lo , C. P. 1986 . Accuracy of population estimation from medium-scale aerial photography . Photogrammetric engineering and remote sensing , 52 : 1859 – 1869 .
   Web of Science ®Google Scholar
• Lo , C. P. 1995 . Automated population and dwelling unit estimation from high resolution satellite images: a GIS approach . International journal of remote sensing , 16 : 17 – 34 .
   Web of Science ®Google Scholar
• Lo , C. P. 2003 . “ Zone-based estimation of population and housing units from satellite-generated land use/land cover maps ” . In Remotely Sensed Cities , Edited by: Mesev , V. 157 – 180 . New York : Taylor & Francis .
   Google Scholar
• Lo , C. P. 2006 . “ Estimating population and census data ” . In Remote Sensing of Human Settlements , Edited by: Ridd , M. K. and Hipple , J. D. 337 – 377 . Falls Church, VA : American Society for Photogrammetry and Remote Sensing .
   Google Scholar
• Lu , D. , Weng , Q. and Li , G. 2006 . Residential population estimation using a remote sensing derived impervious surface approach . International journal of remote sensing , 27 : 3553 – 3570 .
   Web of Science ®Google Scholar
• Luck , M. and Wu , J. 2002 . A gradient analysis of urban landscape pattern: a case study from the Phoenix Metropolitan Region, Arizona, USA . Landscape ecology , 17 : 327 – 339 .
   Web of Science ®Google Scholar
• Marascuilo , L. A. and Levin , J. R. 1983 . Multivariate statistics in the social sciences: a researcher's guide , Monterey, CA : Brooks/Cole .
   Google Scholar
• McGarigal , K. 2002 . “ Landscape pattern metrics ” . In Encyclopedia of Environmetrics , Edited by: El-Shaarawi , A. H. and Piegorsch , W. W. 1135 – 1141 . New York : John Wiley and Sons .
   Google Scholar
• McGarigal , K. and Marks , B. J. 1995 . FRAGSTATS: spatial pattern analysis program for quantifying landscape structure USDA Forest Service General Technical Report PNW-351
   Google Scholar
• Mesev , T. V. , Longley , P. A. , Batty , M. and Xie , Y. 1995 . Morphology from imagery: detecting and measuring the density of urban land use . Environment and planning A , 27 : 759 – 780 .
   Web of Science ®Google Scholar
• Olorunfemi , J. F. 1984 . Land use and population: a linking model . Photogrammetric engineering and remote sensing , 50 : 221 – 227 .
   Web of Science ®Google Scholar
• Seto , K. C. and Fragkias , M. 2005 . Quantifying spatiotemporal patterns of urban land-use change in four cities of China with time series landscape metrics . Landscape ecology , 20 : 871 – 888 .
   Web of Science ®Google Scholar
• Shao , G. , Liu , D. and Zhao , G. 2001 . Relationships of image classification accuracy and variation of landscape statistics . Canadian journal of remote sensing , 27 : 33 – 43 .
   Google Scholar
• Sinclair , D. 1984 . The census: it can be done more accurately with space-age technology . Photogrammetric engineering and remote sensing , 50 : 80
   Google Scholar
• Tang , J. , Wang , L. and Yao , Z. 2006 . Analyzing urban sprawl spatial fragmentation using multi-temporal satellite images . GIScience and remote sensing , 43 : 218 – 232 .
   Web of Science ®Google Scholar
• UNCHS . 2001 . The state of the world's cities , Nairobi : United Nations Centre for Human Settlements .
   Google Scholar
• Watkins , J. F. 1984 . The effect of residential structure variation on dwelling unit enumeration from aerial photographs . Photogrammetric engineering and remote sensing , 50 : 1599 – 1607 .
   Web of Science ®Google Scholar
• Weber , C. 1994 . “ Per-zone classification of urban land cover for urban population estimation ” . In Environmental Remote Sensing from Regional to Global Scales , Edited by: Foody , G. M. and Curran , P. J. 142 – 148 . Chichester : John Wiley and Sons .
   Google Scholar
• Wu , C. and Murray , A. T. 2007 . Population estimation using Landsat Enhanced Thematic Mapper imagery . Geographical analysis , 39 : 26 – 43 .
   Web of Science ®Google Scholar
• Wu , J. 2004 . Effects of changing scale on landscape pattern analysis: scaling relations . Landscape ecology , 19 : 125 – 138 .
   Web of Science ®Google Scholar
• Wu , Q. , Hu , D. , Wang , R. , Li , H. , He , Y. , Wang , M. and Wang , B. 2006 . A GIS-based moving window analysis of landscape pattern in the Beijing Metropolitan Area, China . International journal of sustainable development and world ecology , 13 : 419 – 434 .
   Web of Science ®Google Scholar