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PRACTICAL APPLICATION OF SATELLITE INDICES TO IDENTIFY URBAN AND PERI-URBAN DEVELOPMENT IN THE MUNICIPALITY OF CLUJ-NAPOCA (ROMANIA)

Alexe Mircea

First published: 2014-06-20https://doi.org/10.5593/sgem2014/b21/s8.093View metrics

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Title
PRACTICAL APPLICATION OF SATELLITE INDICES TO IDENTIFY URBAN AND PERI-URBAN DEVELOPMENT IN THE MUNICIPALITY OF CLUJ-NAPOCA (ROMANIA)
Authors
Alexe Mircea
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 14th SGEM GeoConference on INFORMATICS, GEOINFORMATICS AND REMOTE SENSING
Publisher
Stef92 Technology
Year
2014
Pages
Not available yet
ISSN
1314-2704
ISBN
978-619-7105-10-0
Language
en
Publication type
Conference Paper
References26

  1. As-syakur A.R., Adnyana I.W.S., Arthana I.W. & Nuarsa, I.W. Enhanced Built-Up and Bareness Index (EBBI) for Mapping Built-Up and Bare Land in an Urban Area, Remote Sensing, Switzerland, 4, pp 2957-2970, 2012.

  2. Chen J., Manchun L.I., Liu Y., Shen C., & Hu W. Extract residential areas automatically by new built-up index, 18 th International Conference on Geoinformatics, pp 1-5, 2010.

  3. Goetzke R., Over M. & Braun M. A method to map land-use change and urban growth in north Rhine-Westphalia (Germany), Proceedings of the 2nd Workshop of the EARSeL SIG on Land Use and Land Cover, Bonn, Germany, pp 102-111, 2006.

  4. He C., Shi P., Xie D., & Zhao Y. Improving the normalized difference built-up index to map urban built-up areas using a semiautomatic segmentation approach, Remote Sensing Letters, 1:4, pp 213-221, United Kingdom, 2010.

  5. Holobâcă I.H. Glacier Mapper – a new method designed to assess change in mountain glaciers, International Journal of Remote Sensing, United Kingdom, 34:23, pp 8475-8490, 2013.

  6. Huete A.R. A soil-adjusted vegetation index (SAVI), Remote Sensing of Environment, 25 (3), pp 295–309, 1988.

  7. Kawamura M., Jayamana S. & Tsujiko Y. Relation between social and environmental conditions in Colombo Sri Lanka and the urban index estimated by satellite remote sensing data, Int. Arch. Photogramm. Remote Sensing, 31 (Part B7), pp 321–326, 1996 .

  8. Masek J.G., Lindsay F.E. & Goward S.N. Dynamics of urban growth in the Washington DC metropolitan area, 1973 –1996, from Landsat observations, International Journal of Remote Sensing, United Kingdom, 21(18), pp 3473 – 3486, 2000. 14th SGEM GeoConference on Informatics, Geoinformatics and Remote Sensing

  9. Ridd M.K. Exploring a VIS (vegetation-impervious surface soil) model for urban ecosystem analysis through remote sensing: Comparative anatomy for cities, International Journal of Remote Sensing, United Kingdom, 16(12), pp 2165 – 2185, 1995.

  10. Xu H. Spatial expansion of urban/town in Fuqing and its driving force analysis, Remote Sensing Technology and Application, 17 (2), pp 86–92, 2002.

  11. Xu H. A study on information extraction of water body with the Modified Normalized Difference Water Index (MNDWI), Journal of Remote Sensing, 9(5), pp 511–517, 2005.

  12. Xu H. A new index for delineating built-up land features in satellite imagery, International Journal of Remote Sensing, United Kingdom, 29(14), pp 4269- 4276, 2008.

  13. Zha Y., Gao Y. & Ni S. Use of normalized difference built-up index in automatically mapping urban areas from TM imagery, International Journal of Remote Sensing, United Kingdom, 24(3), pp 583 -594, 2003.

  14. As-syakur A.R., Adnyana I.W.S., Arthana I.W. & Nuarsa, I.W. Enhanced Built-Up and Bareness Index (EBBI) for Mapping Built-Up and Bare Land in an Urban Area, Remote Sensing, Switzerland, 4, pp 2957-2970, 2012.

  15. Chen J., Manchun L.I., Liu Y., Shen C., & Hu W. Extract residential areas automatically by new built-up index, 18 th International Conference on Geoinformatics, pp 1-5, 2010.

  16. Goetzke R., Over M. & Braun M. A method to map land-use change and urban growth in north Rhine-Westphalia (Germany), Proceedings of the 2nd Workshop of the EARSeL SIG on Land Use and Land Cover, Bonn, Germany, pp 102-111, 2006.

  17. He C., Shi P., Xie D., & Zhao Y. Improving the normalized difference built-up index to map urban built-up areas using a semiautomatic segmentation approach, Remote Sensing Letters, 1:4, pp 213-221, United Kingdom, 2010.

  18. Holobâcă I.H. Glacier Mapper – a new method designed to assess change in mountain glaciers, International Journal of Remote Sensing, United Kingdom, 34:23, pp 8475-8490, 2013.

  19. Huete A.R. A soil-adjusted vegetation index (SAVI), Remote Sensing of Environment, 25 (3), pp 295–309, 1988.

  20. Kawamura M., Jayamana S. & Tsujiko Y. Relation between social and environmental conditions in Colombo Sri Lanka and the urban index estimated by satellite remote sensing data, Int. Arch. Photogramm. Remote Sensing, 31 (Part B7), pp 321–326, 1996 .

  21. Masek J.G., Lindsay F.E. & Goward S.N. Dynamics of urban growth in the Washington DC metropolitan area, 1973 –1996, from Landsat observations, International Journal of Remote Sensing, United Kingdom, 21(18), pp 3473 – 3486, 2000. 14th SGEM GeoConference on Informatics, Geoinformatics and Remote Sensing

  22. Ridd M.K. Exploring a VIS (vegetation-impervious surface soil) model for urban ecosystem analysis through remote sensing: Comparative anatomy for cities, International Journal of Remote Sensing, United Kingdom, 16(12), pp 2165 – 2185, 1995.

  23. Xu H. Spatial expansion of urban/town in Fuqing and its driving force analysis, Remote Sensing Technology and Application, 17 (2), pp 86–92, 2002.

  24. Xu H. A study on information extraction of water body with the Modified Normalized Difference Water Index (MNDWI), Journal of Remote Sensing, 9(5), pp 511–517, 2005.

  25. Xu H. A new index for delineating built-up land features in satellite imagery, International Journal of Remote Sensing, United Kingdom, 29(14), pp 4269- 4276, 2008.

  26. Zha Y., Gao Y. & Ni S. Use of normalized difference built-up index in automatically mapping urban areas from TM imagery, International Journal of Remote Sensing, United Kingdom, 24(3), pp 583 -594, 2003.

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