Remote sensing application for property tax evaluation

International Journal of Applied Earth Observation and Geoinformation

Volumn 10, Issue 1, 2008, Pages 109-121

  Jain, Sadhana ^a  

^a INDIAN INSTITUTE OF REMOTE SENSING   (India)

Author keywords

Dwelling unit; IKONOS satellite data; Property taxation

Indexed keywords

IKONOS; INCOME; PROPERTY MARKET; REMOTE SENSING; SATELLITE DATA; SOCIOECONOMIC STATUS; SPATIAL RESOLUTION; TAX SYSTEM;

ASIA; DOON VALLEY; EURASIA; INDIA; SOUTH ASIA; UTTAR PRADESH;

EID: 38549138364     PISSN: 15698432     EISSN: 1872826X     Source Type: Journal    
DOI: 10.1016/j.jag.2007.10.008     Document Type: Article

References (22)

1. Cowen D.J., and Jensen J.R. Extraction and modeling of urban attributes using remote sensing technology. In: Diana L., Emilio F.M., Ronald R.R., and Paul C.S. (Eds). People and Pixels: Linking Remote Sensing and Social Science (1998), National Academic Press 164-188. http://www.nap.edu/catalog/5963.html http://www.nap.edu/catalog/5963.html
2. Craglia M., Lila L., Giampaolo N., and Jurgen S. Towards the development of quality of life indicator in the 'digital' city. Environ. Plan. B: Plan. Design 31 1 (2004) 51-64
3. Da Silva A.A. Sao Paulo and the challenges for social sustainability: the case of urban housing policy. In: Mario P., and Richard S. (Eds). The Social Sustainability of Cities (2000), University of Toronto Press Incorporated 202-227
4. Dayyeh N.A., and Ziadat F. GIS for understanding physical and social change in urban settings: a case from Amman, Jordan. Environ. Plan. B: Plan. Design 32 1 (2005) 127-140
5. Delhi Municipal Corporation (Amendment) Act (2003). Unit Area System of Property Tax Assessment. http://www.mcdonline.gov.in/.
6. Forrester J.W. Urban Dynamics (1969), Pegaus Communications Inc. p. 299
7. Geoghegan J., Pritchard Jr. L., Ogneva-Himmelberger Y., Chowdhury R.R., Sanderson S., and Turner II B.L. Socializing the pixel and "pixelizing the social" in land-use and land-cover change. In: Diana L., Emilio F.M., Ronald R.R., and Paul C.S. (Eds). People and Pixels: Linking Remote Sensing and Social Science (1998), National Academic Press 51-69. http://www.nap.edu/catalog/5963.html http://www.nap.edu/catalog/5963.html
8. Gluhih R., and Portnov B.A. Visualisation of the spatial patterns of inter urban income disparities using coordinated transformation. Geogr. Inform. Sci. 18 3 (2004) 197-281
9. Herold M., Couclelis H., and Clarke K.C. The role of spatial metrics in the analysis and modeling of urban land use change. Comp. Environ. Urban Syst. 29 2005 (2005) 369-399
10. Jain S. Use of IKONOS satellite data to identify informal settlements in Dehradun, India. Int. J. Remote Sens. 28 15 (2007) 3227-3233
11. Lo C. Application of Landsat TM data for quality of life assessment in an urban environment. Comp. Environ. Urban Syst. 21 3/4 (1997) 259-276
12. Lo C.P. Zone-based estimation of population and housing units from satellite-generated Land use/land cover maps. In: Victor M. (Ed). Remotely Sensed Cities (2003), Taylor & Francis Publications, London and New York 157-180
13. Lungo M. Down town San Salvador: housing, public spaces and economic transformation. In: Mario P., and Richard S. (Eds). The Social Sustainability of Cities (2000), University of Toronto Press Incorporated 228-249
14. Rindfuss R.R., and Stern P.C. Linking remote sensing and social science: the need and the challenges. In: Diana L., Emilio F.M., Ronald R.R., and Paul C.S. (Eds). People and Pixels: Linking Remote Sensing and Social Science (1998), National Academic Press 1-27. http://www.nap.edu/catalog/5963.html http://www.nap.edu/catalog/5963.html
15. Rindfuss R.R., Walsh S.J., and Entwisle B. Land use, competition, and migration. Paper Presented at the Annual Meeting of the Population Association of America. New Orleans, LA (1996)
16. Steering Committee on Space Applications and Commercialization, National Research Council. Transforming Remote Sensing Data into Information and Applications (2001), National Academic Press. http://www.nap.edu/catalog/10257.html p. 90, http://www.nap.edu/catalog/10257.html
17. Sever T.L. Validating prehistoric and current social phenomena upon the landscape of the Peten, Guatemala. In: Diana L., Emilio F.M., Ronald R.R., and Paul C.S. (Eds). People and Pixels: Linking Remote Sensing and Social Science (1998), National Academic Press 145-163. http://www.nap.edu/catalog/5963.html http://www.nap.edu/catalog/5963.html
18. Shackelford A.K., and Davis C.H. A combined fuzzy pixel based and object based approach for classification of high-resolution multi-spectral data over urban areas. IEEE Trans. Geosci. Remote Sens. 41 10 (2003) 2354-2363
19. Thomson C.N., and Hardin P. Remote Sensing /GIS Integration to Identify Potential Low income Housing Sites. Cities 17 2 (2000) 97-109
20. Twigg L., Barnard S., Mohan J., and Jones K. Developing and evaluating small area indicators of the neighbourhood social environment. Environ. Plan. A 38 11 (2006) 2173-2192
21. Zhan Q., Molenaar M., and Tempfli K. Finding spatial units for land use classification based on hierarchical image objects. Proceedings of the Symposium on Geospatial Theory, Processing and Applications, ISPRS IV/3. Ottawa (2002)
22. Zhang Y., and Guindon B. Using satellite remote sensing to survey transport related urban sustainability. Part 1. Methodologies for indicator quantification. Int. J. Appl. Earth Observ. Geoinform. 8 3 (2006) 149-164