Exurban development derived from Landsat from 1986 to 2009 surrounding the District of Columbia, USA

Remote Sensing of Environment

Volumn 124, Issue , 2012, Pages 360-370

  Suarez Rubio, Marcela ^a,c   Lookingbill, Todd R ^b   Elmore, Andrew J ^a  

^a UNIVERSITY OF MARYLAND CENTER FOR ENVIRONMENTAL SCIENCE   (United States)

^b UNIVERSITY OF RICHMOND   (United States)

^c UNIVERSITY OF NATURAL RESOURCES AND LIFE SCIENCES   (Austria)

Author keywords

Land use and land cover change; Landsat; Low density residential development; Mid Atlantic; Morphological spatial pattern analysis; Spectral mixture analysis; Urban fringe

Indexed keywords

LAND USE AND LAND COVER CHANGE; LANDSAT; MID-ATLANTIC; RESIDENTIAL DEVELOPMENT; SPATIAL PATTERN ANALYSIS; SPECTRAL MIXTURE ANALYSIS; URBAN FRINGE;

DECISION TREES; PIXELS; REMOTE SENSING; RURAL AREAS; VEGETATION;

PHOTOMAPPING;

DECIDUOUS FOREST; ENVIRONMENTAL IMPACT ASSESSMENT; HABITAT FRAGMENTATION; LAND MANAGEMENT; LANDSAT; LANDSAT THEMATIC MAPPER; NATURAL RESOURCE; PIXEL; POLICY MAKING; REMOTE SENSING; RESIDENTIAL DEVELOPMENT; RURAL LANDSCAPE; SPECTRAL ANALYSIS; URBAN DEVELOPMENT;

DISTRICT OF COLUMBIA; MARYLAND; MID-ATLANTIC STATES; UNITED STATES; VIRGINIA;

EID: 84862264807     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2012.03.029     Document Type: Article

References (73)

1. Adams J.B., Sabol D.E., Kapos V., Almeida Filho R., Roberts D.A., Smith M.O., et al. Classification of multispectral images based on fractions of endmembers: Application to land-cover change in the Brazilian Amazon. Remote Sensing of Environment 1995, 52:137-154.
2. Adams J.B., Smith M.O., Johnson P.E. Spectral mixture modeling: A new analysis of rock and soil types at the Viking Lander 1 site. Journal of Geophysical Research 1986, 91:8098-8112.
3. Allouche O., Tsoar A., Kadmon R. Assessing the accuracy of species distribution models: Prevalence, kappa and the true skill statistic (TSS). Journal of Applied Ecology 2006, 43:1223-1232.
4. Asner G.P., Hicke J.A., Lobell D.B. Per-pixel analysis of forest structure. Remote sensing of forest environments: Concepts and case studies 2003, 209-254. Kluwer Academic Publishers, Massachusetts. M.A. Wulder, S.E. Franklin (Eds.).
5. Asner G.P., Keller M., Pereira J.R., Zweede J.C., Silva J.N.M. Canopy damage and recovery after selective logging in Amazonia: Field and satellite studies. Ecological Applications 2004, 14:S280-S298.
6. Berube A., Singer A., Wilson J.H., Frey W.H. Finding exurbia: America's fast-growing communities at the metropolitan fringe. Brookings Institution, Living Cities Census Series 2006, 1-47.
7. Brown D.G., Johnson K.M., Oveland T.R., Theobald D.M. Rural land-use trends in the conterminous United States, 1950-2000. Ecological Applications 2005, 15:1851-1863.
8. Campbell J.B. Introduction to remote sensing 2002, The Guilford Press, New York. Third edition.
9. Chander G., Markham B.L., Helder D.L. Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors. Remote Sensing of Environment 2009, 113:893-903.
10. Chavez P.S. Radiometric calibration of Landsat Thematic Mapper multispectral images. Photogrammetric Engineering and Remote Sensing 1989, 55:1285-1294.
11. Clark J.K., McChesney R., Munroe D.K., Irwin E.G. Spatial characteristics of exurban settlement pattern in the United States. Landscape and Urban Planning 2009, 90:178-188.
12. Congalton R.G. A review of assessing the accuracy of classifications of remotely sensed data. Remote Sensing of Environment 1991, 37:35-46.
13. Conservation Biology Institute Protected areas - Maryland and Virginia, USA 2010, http://databasin.org/protected-center, last accessed August 2010.
14. Cova T.J., Sutton P.C., Theobald D.M. Exurban change detection in fire-prone areas with nighttime satellite imagery. Photogrammetric Engineering and Remote Sensing 2004, 70:1249-1257.
15. Daniels T. When city and country collide: Managing growth in the metropolitan fringe 1999, Island Press, Washington D.C.
16. Dougherty M., Dymond R.L., Goetz S.J., Jantz C.A., Goulet N. Evaluation of impervious surface estimates in a rapidly urbanizing watershed. Photogrammetric Engineering and Remote Sensing 2004, 70:1275-1284.
17. Elmore A.J., Mustard J.F., Manning S.J., Lobell D.B. Quantifying vegetation change in semiarid environments: Precision and accuracy of spectral mixture analysis and the normalized difference vegetation index. Remote Sensing of Environment 2000, 73:87-102.
18. Elvidge C.D., Baugh K.E., Kihn E.A., Kroehl H.W., Davis E.R., Davis C.W. Relation between satellite observed visible-near infrared emissions, population, economic activity and electric power consumption. International Journal of Remote Sensing 1997, 18:1373-1379.
19. Franke J., Roberts D.A., Halligan K., Menz G. Hierarchical Multiple Endmember Spectral Mixture Analysis (MESMA) of hyperspectral imagery for urban environments. Remote Sensing of Environment 2009, 113:1712-1723.
20. Rural areas report and recommendation 2009, Frederick County Board of Supervisors' Rural Areas Subcommittee, http://www.co.frederick.va.us/planning/SpecialProjects/RA/pdfs/Rural%20Areas%20Policy_Final.pdf, last accessed July 11 2010.
21. Goetz S.J., Wright R.K., Smith A.J., Zinecker E., Schaub E. IKONOS imagery for resource management: Tree cover, impervious surfaces, and riparian buffer analyses in the Mid-Atlantic region. Remote Sensing of Environment 2003, 88:125-208.
22. Gonzalez-Abraham C.E., Radeloff V.C., Hawbaker T.J., Hammer R.B., Stewart S.I., Clayton M.K. Patterns of houses and habitat loss from 1937 to 1999 in northern Wisconsin, USA. Ecological Applications 2007, 17:2011-2023.
23. Gu D., Gillespie A. Topographic normalization of Landsat TM images of forest based on subpixel sun-canopy-sensor geometry. Remote Sensing of Environment 1998, 64:166-175.
24. Gude P.H., Hansen A.J., Rasker R., Maxwell B. Rates and drivers of rural residential development in the Greater Yellowstone. Landscape and Urban Planning 2006, 77:131-151.
25. Hansen A.J., Knight R.L., Marzluff J.M., Powell S., Brown K., Gude P.H., et al. Effects of exurban development on biodiversity: Patterns, mechanisms, and research needs. Ecological Applications 2005, 15:1893-1905.
26. Hansen A.J., Rasker R., Maxwell B., Rotella J.J., Johnson J.D., Wright Parmenter A., et al. Ecological causes and consequences of demographic change in the New West. BioScience 2002, 52:151-168.
27. Hothorn T., Hornik K., Zeileis A. Unbiased recursive partitioning. Journal of Computational and Graphical Statistics 2006, 15:651-674.
28. Huston M.A. The three phases of land-use change: Implications for biodiversity. Ecological Applications 2005, 15:1864-1878.
29. Irwin E.G., Cho H.J., Bockstael N.E. Measuring the amount and pattern of land development in nonurban areas. Review of Agricultural Economics 2007, 29:494-501.
30. Jantz P., Goetz S., Jantz C. Urbanization and the loss of resource land on the Chesapeake Bay Watershed. Environmental Management 2005, 36:808-825.
31. Jones J., Jarnagin T. Evaluation of a moderate resolution, satellite-based impervious surface map using an independent, high resolution validation data set. Journal of Hydrologic Engineering 2009, 14:369-376.
32. Liu J., Daily G.C., Ehrlich P.R., Luck G.W. Effects of household dynamics on resource consumption and biodiversity. Nature 2003, 421:530-533.
33. Longley P.A., Goodchild M.F., Maguire D.J., Rhind D.W. Geographic information systems and science 2001, John Wiley & Sons, Ltd, New York.
34. Lu D., Mausel P., Brondízio E., Moran E. Change detection techniques. International Journal of Remote Sensing 2004, 25:2365-2407.
35. Maryland Department of Planning MdProperty View (a digital product) 2008, http://www.mdp.state.md.us/data/index.htm, last accessed June 3 2009.
36. Maryland Department of Planning Smart, green, and growing planning guide 2010, Publication No. 2010-006, http://planning.maryland.gov/pdf/ourproducts/publications/otherpublications/sgg_guide_09_web.pdf, last accessed July 11 2010.
37. Marzluff J.M., Bowman R., Donnelly R. A historical perspective on urban bird research: Trends, terms and approaches. Avian ecology and conservation in an urbanizing world 2001, 1-17. Kluwer Academic Publishers, Boston. J.M. Marzluff, R. Bowman, R. Donnelly (Eds.).
38. McCauley S., Goetz S.J. Mapping residential density patterns using multi-temporal Landsat data and a decision-tree classifier. International Journal of Remote Sensing 2004, 25:1077-1094.
39. Monteiro A.L., Souza C.M.J., Barreto P. Detection of logging in Amazonian transition forests using spectral mixture models. International Journal of Remote Sensing 2003, 24:151-159.
40. Parmenter A.W., Hansen A., Kennedy R.E., Cohen W., Langner U., Lawrence R., et al. Land use and land cover change in the Greater Yellowstone Ecosystem: 1975-1995. Ecological Applications 2003, 13:687-703.
41. Powell S.L., Cohen W.B., Yang Z., Pierce J.D., Alberti M. Quantification of impervious surface in the Snohomish Water Resources Inventory Area of Western Washington from 1972-2006. Remote Sensing of Environment 2008, 112:1895-1908.
42. Powell R.L., Roberts D.A., Dennison P.E., Hess L.L. Sub-pixel mapping of urban land cover using multiple endmember spectral mixture analysis: Manaus, Brazil. Remote Sensing of Environment 2007, 106:253-267.
43. Radeloff V.C., Hammer R.B., Stewart S.I. Rural and suburban sprawl in the U.S. Midwest from 1940 to 2000 and its relation to forest fragmentation. Conservation Biology 2005, 19:793-805.
44. Radeloff V.C., Hammer R.B., Stewart S.I., Fried J.S., Holcomb S.S., Mckeefry J.F. The wildland-urban interface in the United States. Ecological Applications 2005, 15:799-805.
45. Rashed T., Weeks J.R., Roberts D., Rogan J., Powell R. Measuring the physical composition of urban morphology using multiple endmember spectral mixture models. Photogrammetric Engineering and Remote Sensing 2003, 69:1011-1020.
46. Richards J.A. Remote sensing digital image analysis: An introduction 1993, Springer-Verlag, New York.
47. Sabol D.E., Gillespie A.R., Adams J.B., Smith M.O., Tucker C.J. Structural stage in Pacific Northwest forests estimated using simple mixing models of multispectral images. Remote Sensing of Environment 2002, 80:1-16.
48. Schott J.R., Salvaggio C., Volchok W.J. Radiometric scene normalization using pseudoinvariant features. Remote Sensing of Environment 1988, 26:1-16.
49. Small C. Estimation of urban vegetation abundance by spectral mixture analysis. International Journal of Remote Sensing 2001, 22:1305-1334.
50. Small C. High spatial resolution spectral mixture analysis of urban reflectance. Remote Sensing of Environment 2003, 88:170-186.
51. Small C. The Landsat ETM+ spectral mixing space. Remote Sensing of Environment 2004, 93:1-17.
52. Small C., Elvidge C.D., Balk D., Montgomery M. Spatial scaling of stable night lights. Remote Sensing of Environment 2011, 115:269-280.
53. Small C., Pozzi F., Elvidge C.D. Spatial analysis of global urban extent from DMSP-OLS night lights. Remote Sensing of Environment 2005, 96:277-291.
54. Smith M.O., Ustin S.L., Adams J.B., Gillespie A.R. Vegetation in deserts: I. A regional measure of abundance from multispectral images. Remote Sensing of Environment 1990, 31:1-26.
55. Soille P. Morphological image analysis: Principles and applications 2003, Springer-Verlag, Berlin. 2nd ed.
56. Song C., Woodcock C.E., Seto K.C., Lenney M.P., Macomber S.A. Classification and change detection using Landsat TM data: When and how to correct atmospheric effects?. Remote Sensing of Environment 2001, 75:230-244.
57. Souza C., Barreto P. An alternative approach for detecting and monitoring selectively logged forests in the Amazon. International Journal of Remote Sensing 2000, 21:173-179.
58. Sutton P.C., Cova T.J., Elvidge C.D. Mapping "Exurbia" in the conterminous United States using nighttime satellite imagery. Geocarto International 2006, 20:39-45.
59. Sutton P.C., Goetz A.R., Fildes S., Forster C., Ghosh T. Darkness on the edge of town: Mapping urban and peri-urban Australia using nighttime satellite imagery. The Professional Geographer 2010, 62:119-133.
60. Theobald D.M. Land use dynamics beyond the American urban fringe. Geographical Review 2001, 91:544-564.
61. Theobald D.M. Landscape patterns of exurban growth in the USA from 1980 to 2020. Ecology and Society 2005, 10:32-66.
62. Theobald D.M., Gosnell H., Riebsame W.E. Land use and landscape change in the Colorado Mountains II. A case study of the East River Valley. Mountain Research and Development 1996, 16:407-418.
63. Tompkins S., Mustard J.F., Pieters C., Forsyth D.W. Optimization of endmembers for spectral mixture analysis. Remote Sensing of Environment 1997, 59:472-489.
64. U.S.Census Bureau State and county quick facts 2010, http://quickfacts.census.gov, last accessed June 1 2010.
65. Vayssiéres M.P., Plant R.E., Allen-Diaz B.H. Classification trees: An alternative non-parametric approach for predicting species distributions. Journal of Vegetation Science 2000, 11:679-694.
66. Vogt P., Ferrari J.R., Lookingbill T.R., Gardner R.H., Riitters K.H., Ostapowicz K. Mapping functional connectivity. Ecological Indicators 2009, 9:64-71.
67. Vogt P., Riitters K., Estreguil C., Kozak J., Wade T., Wickham J. Mapping spatial patterns with morphological image processing. Landscape Ecology 2007, 22:171-177.
68. Vogt P., Riitters K.H., Iwanowski M., Estreguil C., Kozak J., Soille P. Mapping landscape corridors. Ecological Indicators 2007, 7:481-488.
69. Wade A.A., Theobald D.M. Residential development encroachment on US protected areas. Conservation Biology 2009, 24:151-161.
70. Ward D., Phinn S.R., Murray A.T. Monitoring growth in rapidly urbanizing areas using remotely sensed data. The Professional Geographer 2000, 52:371-386.
71. Weldon Cooper Center Final 2008 and provisional 2009 population estimates for Virginia counties and cities 2010, http://www.coopercenter.org/demographics/data, last accessed June 1 2010.
72. Xian G., Crane M. Assessments of urban growth in the Tampa Bay watershed using remote sensing data. Remote Sensing of Environment 2005, 97:203-215.
73. Yang L., Xian G., Klaver J.M., Deal B. Urban land-cover change detection through sub-pixel imperviousness mapping using remotely sensed data. Photogrammetric Engineering and Remote Sensing 2003, 69:1003-1010.