Generation of fine-scale population layers using multi-resolution satellite imagery and geospatial data

Remote Sensing of Environment

Volumn 130, Issue , 2013, Pages 219-232

  Azar, Derek ^a   Engstrom, Ryan ^a,b   Graesser, Jordan ^a   Comenetz, Joshua ^a  

^a U S CENSUS BUREAU   (United States)

^b GEORGE WASHINGTON UNIVERSITY   (United States)

Author keywords

Built up area; CART; Dasymetric; Pakistan; Population distribution

Indexed keywords

BUILT-UP AREAS; CART; CLASSIFICATION AND REGRESSION TREE; DASYMETRIC; DATA SETS; GEO-SPATIAL; GEO-SPATIAL DATA; LAND-COVER TYPES; MULTI-RESOLUTIONS; OAK RIDGE NATIONAL LABORATORY; PAKISTAN; POPULATION ESTIMATE; ROOT MEAN SQUARE ERRORS; SMALL AREA; URBAN MAPPING;

ESTIMATION; MEAN SQUARE ERROR; POPULATION DISTRIBUTION; REMOTE SENSING; SATELLITE IMAGERY;

PIXELS;

ALGORITHM; DATA SET; IMAGE CLASSIFICATION; IMAGE RESOLUTION; PIXEL; POPULATION DISTRIBUTION; POPULATION ESTIMATION; REGRESSION ANALYSIS; REMOTE SENSING; SATELLITE IMAGERY;

PAKISTAN;

EID: 84871828835     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2012.11.022     Document Type: Article

References (53)

1. Azar D., Graesser J., Engstrom R., Comenetz J., Leddy R.M., Schechtman N.G., et al. Spatial refinement of census population distribution using remotely sensed estimates of impervious surfaces in Haiti. International Journal of Remote Sensing 2010, 31:5635-5655.
2. Balk D.L., Deichmann U., Yetman G., Pozzi F., Hay S.I., Nelson A. Determining global population distribution: methods, applications, and data. Advances in Parasitology 2006, 62:119-156.
3. Bittencourt H.R., Clarke R.T. Use of Classification and Regression Trees (CART). IGARSS 2003 2003, IEEE, Toulouse.
4. Blaschke T. Object based analysis for remote sensing. ISPRS Journal of Photogrammetry and Remote Sensing 2010, 65:2-16.
5. Breiman L., Friedman J.H., Olshen A., Stone C.J. Classification and Regression Trees 1984, Wadsworth, Belmont, CA.
6. Briggs D.J., Gulliver J., Fecht D., Vienneau D.M. Dasymetric modelling of small-area population distribution using landcover and light emissions data. Remote Sensing of Environment 2007, 108:451-466.
7. Center for International Earth Science Information Network Gridded Population of the World, Version 3 Data Collection 2000, Columbia University, Palisades, NY.
8. Center for International Earth Science Information Network (CIESIN)/Columbia University, International Food Policy Research Institute (IFPRI), World Bank, and Centro Internacional de Agricultura Tropical (CIAT) Global Rural-Urban Mapping Project, Version 1 (GRUMPv1): Population Count Grid 2011, NASA Socioeconomic Data and Applications Center (SEDAC), Palisades, New York, Retrieved from http://sedac.ciesin.columbia.edu/data/set/grump-v1-population-count.
9. Central Intelligence Agency The World Factbook Retrieved from. https://www.cia.gov/library/publications/the-world-factbook.
10. Chen K. An approach to linking remotely sensed data and areal census data. International Journal of Remote Sensing 2002, 23:37-48.
11. Dobson J.E., Bright E.A., Coleman P.R., Durfee R.C., Worley B.A. LandScan: A global population database for estimating populations at risk. Photogrammetric Engineering and Remote Sensing 2000, 66:849-857.
12. Eicher C.L., Brewer C.A. Dasymetric mapping and areal interpolation: Implementation and evaluation. Cartography and Geographic Information Science 2001, 14:125-138.
13. Goetz S.J., Jantz P. Satellite map shows Chesapeake Bay urban development. EOS, Transactions 2006, 87:149-156.
14. Google Earth (Version 5.1.3533) Available from. http://www.google.com/earth/index.html.
15. Guindon B., Zhang Y., Dillabaugh C. Landsat urban mapping based on a combined spectral-spatial methodology. Remote Sensing of Environment 2004, 92:218-232.
16. 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. International Journal of Remote Sensing 2000, 21:1331-1364.
17. Harvey J.T. Estimating census district populations from satellite imagery: Some approaches and limitations. International Journal of Remote Sensing 2002, 25:2071-2095.
18. Hay S.I., Noor A.M., Nelson A., Tatem A.J. The accuracy of human population maps for public health application. Tropical Medicine & International Health 2005, 10:1073-1086.
19. Holt J.B., Lo C.P., Hodler T.W. Dasymetric estimation of population density and areal interpolation of census data. Cartography and Geographic Information Science 2004, 31:103-122.
20. Homer C., Huang C., Yang L., Wylie B., Coan M. Development of a 2001 national landcover database for the United States. Photogrammetric Engineering and Remote Sensing 2004, 70:829-840.
21. Huang C., Yang L., Wylie B., Coan M. Synergistic use of FIA plot data and Landsat 7 ETM+ images for large area forest mapping. Proceedings of the Third Annual Forest Inventory and Analysis Symposium 2002, 20-55. US Department of Agriculture, Forest Service, North Central Research Station, St. Paul, MN. R. McRoberts, G. Reams, P. Van Deusen, J. Moser (Eds.).
22. Li G., Weng Q. Using Landsat ETM+ imagery to measure population density in Indianapolis, Indiana, USA. Photogrammetric Engineering and Remote Sensing 2005, 71:947-958.
23. Linard C., Alegana V.A., Noor A.M., Snow R.W., Tatem A.J. A high resolution spatial population database of Somalia for disease risk mapping. International Journal of Health Geographics 2010, 9.
24. Linard C., Gilbert M., Snow R.W., Noor A.M., Tatem A.J. Population distribution, settlement patterns and accessibility across Africa in 2010. PLoS One 2012, 7(2):e31743. 10.1371/hournal.pone0031743.
25. Linard C., Glibert M., Tatem A.J. Assessing the use of global landcover data for guiding large area population distirbution modeling. GeoJournal 2010, 76.
26. Liu X., Clarke K.C. Estimation of residential population using high resolution satellite imagery. Proceedings of the 3rd Symposium in Remote Sensing of Urban Areas 2002, 153-160. Istanbul Technical University Press, Istanbul. D. Maktav, C. Jeurgens, F. Sunar-Erbek (Eds.).
27. Liu X., Clarke K., Herold M. Population density and image texture: A comparison study. Photogrammetric Engineering and Remote Sensing 2006, 72:187-196.
28. Lo C.P. A raster approach to population estimation using high-altitude aerial and space photographs. Remote Sensing of Environment 1989, 27:59-71.
29. Lo C.P. Zone-based estimation of population and housing units from satellite-generated land use/land cover maps. Remotely Sensed Cities 2003, 157-180. Taylor and Sons, New York, New York. V. Mesev (Ed.).
30. Lu D., Weng Q., Li G. Residential population estimation using a remote sensing derived impervious surface approach. International Journal of Remote Sensing 2006, 27:3553-3570.
31. Martin D., Tate N., Langford M. Refining population surface models: Experiments with Northern Ireland census data. Transactions in GIS 2002, 4:343-360.
32. Mennis J. Generating surface models of population using dasymetric mapping. The Professional Geographer 2003, 55:31-42.
33. Mubareka S., Erlich D., Bonn F., Kayitakire F. Settlement location and population density estimation in rugged terrain using information derived from Landsat ETM and SRTM data. International Journal of Remote Sensing 2008, 29:2339-2357.
34. National Geospatial-Intelligence Agency GEOnet Names Server (GNS) Retrieved from. http://earth-info.nga.mil/gns/html/.
35. National Research Council Tools and Methods for Estimating Population at Risk from Natural Disasters and Complex Humanitarian Crises 2007, National Academy of Science, Washington, DC.
36. Nelson A. African Population Database Documentation Retreived from. http://na.unep.net/siouxfalls/globalpop/africa/Africa_index.html.
37. Noji E.K. Estimation of population size in emergencies. Bulletin of the World Health Organization 2005, 83:164.
38. Oak Ridge National Laboratory LandScan 2002 2002, (Contract No. DE-AC05-00OR22725 with the United States Department of Energy).
39. Olson D.M., Dinerstein E., Wikramanayake E.D., Burgess N.D., Powell G.V.N., Underwood E.C., et al. Terrestrial ecoregions of the world: A new map of life on earth. BioScience 2001, 51:933-938.
40. Population Census Organization Population and Housing Census of Pakistan 1998 1998, Government of Pakistan, Islamabad, Pakistan.
41. Quinlan J.R. C4.5: Programs for Machine Learning 1993, Morgan Kaufmann, San Mateo, CA.
42. Rindfuss R.R., Stern P.C. Linking remote sensing and social science: The needs and challenges. People and Pixels: Linking Remote Sensing and Social Science 1998, National Academy Press, Washington, DC. D. Liverman, E.F. Moran, R.R. Rindfuss, P.C. Stern (Eds.).
43. Rummery A., Khan Q.A. Civilians still need help in Swat, a year after conflict engulfed the area Retrieved from. http://www.unhcr.org/4bdaeb646.html.
44. Small C. A global analysis of urban reflectance. International Journal of Remote Sensing 2005, 26:661-681.
45. Small C., Nicholls R.J. A global analysis of human settlement in coastal zones. Journal of Coastal Research 2003, 19:584-599.
46. Tatem A.J., Noor A.M., von Hagen C., Di Gregorio A., Hay S.I. High resolution population paps for low income nations: Combining land cover and census in East Africa. PLoS One 2007, 2:e1298.
47. Tobler W.R. Satellite confirmation of settlement size coefficients. Area 1969, 1:30-34.
48. United Nations Office for the Coordination of Humanitarian Affairs (UNOCHA) Pakistan Floods Relief and Early Recovery Response Plan Revised November 2010. Retrieved from. http://reliefweb.int/node/394785.
49. Varlyguin D.L., Wright R.K., Goetz S.J., Price S.D. Advances in landcover classification for applications research: A case study from the Mid-Atlantic RESAC 2001, Department of Geography, University of Maryland and Mid-Atlantic Regional Earth Science Applications Center, College Park. MD.
50. Wilmott C.J., Matsuura K. Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance. Climate Research 2005, 30:79-82.
51. Wu C., Murray A.T. Population estimation using Landsat Enhanced Thematic Mapper imagery. Geographical Analysis 2007, 39:24-43.
52. Wu S., Qui X., Wang L. Using semi-variance image texture statistics to model population densities. Cartography and Geographic Information Science 2008, 33:127-140.
53. Yang L., Huang C., Homer C.G., Wylie B., Coan M.J. An approach for mapping large-area impervious surfaces: Synergistic use of Landsat 7 ETM+ and high spatial resolution imagery. Canadian Journal of Remote Sensing 2003, 29:230-240.