Remote sensing of impervious surfaces and building infrastructure

Geo-Spatial Technologies in Urban Environments

Volumn , Issue , 2005, Pages 5-21

  Jensen, John R ^a   Hodgson, Michael E ^a   Tullis, Jason A ^a   Raber, George T ^b  

^a UNIVERSITY OF SOUTH CAROLINA   (United States)

^b The University of Southern Mississippi   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84891988346     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/3-540-26676-3_2     Document Type: Chapter

References (19)

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2. Cowen DJ, Jensen JR (1998) Extraction and Modeling of Urban Attributes Using Remote Sensing Technology. In: Liverman D, Moran EF, Rindfuss RR, Stern PC (eds) People and Pixels. National Academy Press, Washington, D.C., pp 164-188
3. Gahegan M (2003) Is Inductive Machine Learning Just Another Wild Goose (or Might it Lay the Golden Egg)? International Journal of Geographical Information Science 17:69-92
4. Hodgson ME, Bresnahan P (2004) Accuracy of Airborne Lidar-Derived Elevation: Empirical Assessment and Error Budget. Photogrammetric Engineering and Remote Sensing
5. Hodgson ME, Jensen JR, Tullis JA, Riordan KD, Archer CM (2003) Synergistic Use of LIDAR and Color Aerial Photography for Mapping Urban Parcel Imperviousness. Photogrammetric Engineering and Remote Sensing 69:973-980
6. Jensen JR (2000) Remote Sensing of the Environment: An Earth Resource Perspective. Prentice Hall, Upper Saddle River, New Jersey
7. Jensen JR (2004) Introductory Digital Image Processing. Prentice Hall, Upper Saddle River, New Jersey
8. Jensen JR, Cowen DJ (1999) Remote Sensing of Urban/Suburban Infrastructure and Socio-Economic Attributes. Photogrammetric Engineering and Remote Sensing 65:611-622
9. Kienegger EH (1992) Assessment of a Wastewater Service Charge by Integrating Aerial Photography and GIS. Photogrammetric Engineering and Remote Sensing 58:1601-1606
10. Maune DF (2001) Digital Elevation Model Technologies and Applications: The DEM Users Manual. The American Society for Photogrammetry and Remote Sensing, Bethesda, Maryland
11. O'Neill DJ, Ducham S, Jerschow O, Porter D, Reblitz LC (2000) The Smart Growth Toolkit: Community Profiles and Case Studies to Advance Smart Growth Practices. The Urban Land Institute, Washington, D.C.
12. Ordnance Survey (2000) The New Heart of Britain's Mapping. Ordnance Survey, Southampton, United Kingdom, http://www.ordnancesurvey.co.uk
13. Quinlan R (2003) Data Mining Tools See5 and C5.0. Vol. 2003. RuleQuest Research, St. Ives, New South Wales, Australia, http://www.rulequest.com/see5- info.html
14. Stow D, Coulter L, Kaiser J, Hope A, Service D, Schutte K, Walters A (2003) Irrigated Vegetation Assessment for Urban Environments. Photogrammetric Engineering and Remote Sensing 69:381-390
15. Thomas DSK, Cutter SL, Hodgson ME, Gutenkunst M, Jones S (2003) Use of Spatial Data and Geographic Technologies in Response to the September 11 Terrorist Attack. Natural Hazards Research and Applications Information Center (NHRAIC), University of Colorado, Boulder, Colorado
16. Tullis JA (2003) Data Mining to Identify Optimal Spatial Aggregation Scales and Input Features: Digital Image Classification with Topographic Lidar and Lidar Intensity Returns. Doctoral Dissertation, University of South Carolina, Columbia
17. Tullis JA, Jensen JR (2003) Expert System House Detection Using Size, Shape, and Context. Geocarto International 18:5-15
18. Zhang Y (1999) Optimisation of Building Detection in Satellite Images by Combining Multispectral Classification and Texture Filtering. ISPRS Journal of Photogrammetry and Remote Sensing 54:50-60
19. Zug M, Phan L, Bellefleur D, Scrivener O (1999) Pollution Wash-off Modeling on Impervious Surfaces: Calibration, Validation, Transposition. Water Science and Technology 39:17-24.