DOI: https://doi.org/10.14710/geoplanning.7.2.75-86

Population Estimation Using Geographic Information System and Remote Sensing for Unorganized Areas

Kamel Allaw  -  Islamic University of Lebanon, Lebanon
Jocelyne Adjizian Gerard  -  Saint Joseph University, Lebanon
*Makram Zouheir Chehayeb orcid  -  Lebanese University, Lebanon
Nada Badaro Saliba  -  Saint Joseph University, Lebanon
Abbas Rammal  -  Islamic University of Lebanon, Lebanon
Zainab Jaber  -  Islamic University of Lebanon, Lebanon

Citation Format:
Abstract

Population estimation using remotely sensed data has been largely discussed in the literature relative to human geography. However, the previously established models can be applied on organized areas (mainly urban areas) but they are not suitable for unorganized areas which already suffer from a lack of population data. So, the aim of this study is the establish a statistical model for population estimation based on remote sensing data and suitable for unorganized areas. To do so, the morphological characteristics have been studied and a bivariate analysis was carried out to determine factors having a strong relationship with population data as a first step. Second, factors with strongest correlations have been chosen to establish the required model. As a result, an equation has been generated which relates the population data to building volume, density of roads, number of nodes, actual urban areas, and urban trend.

Fulltext View|Download
Keywords: Population estimation; Remote Sensing; GIS; unorganized areas; Lebanon

Article Metrics:

Article Info
Section: Original Research
Language : EN
Recent articles
Spatial Multi-Criteria Analysis and Least-Cost Path on The Highway Route Planning: A Case Study of Bawen – Yogyakarta Highway, Indonesia Urban Feature Extraction from Merged Airborne LiDAR Data and Digital Camera Data Flood-Reduction Scenario Based on Land Use in Kedurus River Basin Using SWAT Hydrology Model More recent articles
Most cited articles
SUBAK LAND INFORMATION SYSTEM BASED ON REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEM IN DENPASAR CITY SLUM REVITALIZING PLAN OF BAGHDADIYAH BY SPATIAL RE-MODELING CONFIGURATION THE DEVELOPMENT OF MARINE SPATIAL PLANNING AND ITS APPLICATION FOR FLOATING FISH NET CULTURE SATELLITE-DERIVED BATHYMETRY USING RANDOM FOREST ALGORITHM AND WORLDVIEW-2 IMAGERY GIS-BASED LANDSLIDE SUSCEPTIBILITY ASSESSMENT AND FACTOR EFFECT ANALYSIS BY CERTAINTY FACTOR IN UPSTREAM OF JENEBERANG RIVER, INDONESIA More cited articles
  1. Allaw, K., Gerard, A., Chehayeb, M., Saliba, N., Detection of Residential Buildings to Estimate Population in Lebanon using GeoEye Images, International Journal of Advanced Remote Sensing and GIS, [S.l.], v. 8, n. 1, p. pp. 3047-3056
  2. Batty, M. and Longley P., 1994, Fractal Cities: A Geometry of Form and Function,London, UK/San Diego, CA: Academic Press, 394 p
  3. Council for development and Reconstruction. 2005. National physical master plan of the Lebanese territory. Available from: http://www.cdr.gov.lb/study/sdatl/English/NPMPLT.PDF
  4. Clark, C., 1951, “Urban Population Densities,” Journal of the Royal Statistical Society, 114:490-496
  5. Clayton, C. and Estes J., 1980, “Image Analysis as a Check on Census Enumeration Accuracy” Photogrammetric Engineering and Remote Sensing, 46:757-764
  6. Dobson, J.E., Bright E. A. , Coleman P. R. , Durfee R. C. , and Worley B. A. , 2000. LandScan: A global population database for estimating populations at risk, Photogrammetric Engineering & Remote Sensing, 66:849–857
  7. Dong, P., Ramesh, S. and Nepali, A., 2010, Evaluation of small-area population estimation using LiDAR, Landsat TM and parcel data. International Journal of Remote Sensing, 31, pp. 5571–5586
  8. Fisher, P. F. and Langford M., 1995, “Modeling the Errors in Areal Interpolation between Zonal Systems by Monte Carlo Simulation,” Environment and Planning A, 27:211-224
  9. Forster, B.C., 1983, “Some Urban Measurements from Landsat Data” Photogrammetric Engineering and Remote Sensing, 49:1693-1707
  10. Green, N. E., 1957, “Aerial Photographic Interpretation and the Social Structure of the City,”Photogrammetric Engineering, 23:89-96
  11. Green, N. E., 1956, “Aerial Photographic Analysis of Residential Neighborhoods: An Evaluation of Data Accuracy,” Social Forces, 35:142-147
  12. Green, N. E. and Monier R. B., 1959, “Aerial Photographic Interpretation of the Human Ecology of the City,” Photogrammetric Engineering, 25:770-773
  13. Hsu, S. Y., 1971, “Population Estimation,” Photogrammetric Engineering, 37:449-454
  14. Kaimaris, Dimitris, and Petros Patias. "Population Estimation in an Urban Area with Remote Sensing and Geographical Information Systems." International Journal of Advanced Remote Sensing and GIS (2016): pp-1795
  15. Karume, K., et al. "Use of Remote Sensing for Population Number Determination." The Open Access Journal of Science and Technology 5 (2017)
  16. 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(1):35-42
  17. Lam, N. S., 1983, “Spatial Interpolation Methods: A Review,” The American Cartographer, 10(2):129-149
  18. Lisaka, J., & Hegedus, E. (1982). Population estimation from Landsat imagery. Remote Sensing of Environment, 12(4), 259-272
  19. Lee, Y., 1989, An Allometric Analysis of the United States Urban System: 1960-80, Environment and Planning A, 21(4):463-476
  20. Liu, X., 2003, Estimation of the Spatial Distribution of Urban Population Using High Spatial Resolution Satellite Imagery, Ph.D. thesis, University of California, Santa Barbara, 175 p
  21. Liu, X. and Clarke K. C., 2002, “Estimation of Residential Population Using High Resolution Satellite Imagery,” Proceedings of the 3rd Symposium in Remote Sensing of Urban Areas
  22. Lo, C. P., 1986, Applied Remote Sensing, New York, NY: Longman, 393 p
  23. Lo, C. P. and H. F. Chan, 1980, “Rural Population Estimation from Aerial Photographs,”Photogrammetric Engineering and Remote Sensing, 46:337-345
  24. Lo, C. P. and Welch R., 1977, “Chinese Urban Population Estimates,” Annals of the Association of American Geographers, 67(2):246-253
  25. Monmonier, M. S. and Schnell G. S., 1984, “Land-Use and Land-Cover Data and the Mapping of Population Density,” The International Yearbook of Cartography, 24:115-121
  26. Newling, B. E., 1965, “Urban Growth and Spatial Structure—Mathematical Modelsand Empirical Evidence,” Annals of the Association of American Geographers,55(4):637-637
  27. Parr, J. B., 1985, “A Population-Density Approach to Regional Spatial Structure,”Urban Studies, 22(4):289-303
  28. Porter, P. W., 1956, Population Distribution and Land Use in Liberia, Ph.D. thesis, London School of Economics and Political Science, London, UK, 213 p
  29. Stewart, Wartnz J. Q and W., 1958, “Physics of Population Distribution,” Journal of Regional Science, 1:99-113
  30. Sutton, P., 1997. Modeling population density with night-time satellite imagery and GIS, Computing, Environment and Urban Systems, 21:227–244
  31. Weber, C., 1994, “Per-zone Classification of Urban Land Use Cover for Urban Population estimation,” in Environmental Remote Sensing from Regional to Global
  32. Webster, C.,1996, “Population and Dwelling Unit Estimation from Space,” Third World Planning Review, 18(2):155-176
  33. Weiss, H. K., 1961, “The Distribution of Urban Population and an Application to a Servicing Problem,” Operations Research, 9(6):860-874
  34. Wright, J. K., 1936, “A Method of Mapping Densities of Population,” The Geographical Review, 26(1):103-110

Last update:

No citation recorded.

Last update: 2026-01-02 07:26:28

No citation recorded.