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An Algorithm Approach for the Analysis of Urban Land-Use/Cover: Logic Filters

Yıl 2014, Cilt 1, Sayı 1, 12 - 20, 10.11.2014
https://doi.org/10.30897/ijegeo.300722

Öz

Accurate classification of land-use/cover based on remotely sensed data is important for interpreters who analyze time or event-based change on certain areas. Any method that has user flexibility on area selection provides great simplicity during analysis, since the analyzer may need to work on a specific area of interest instead of dealing with the entire remotely sensed data. The objectives of the paper are to develop an automation algorithm using Matlab & Simulink on user selected areas, to filter V-I-S (Vegetation, Impervious, Soil) components using the algorithm, to analyze the components according to upper and lower threshold values based on each band histogram, and finally to obtain land-use/cover map combining the V-I-S components. LANDSAT 5TM satellite data covering Istanbul and Izmit regions are utilized, and 4, 3, 2 (RGB) band combination is selected to fulfill the aims of the study. These referred bands are normalized, and V-I-S components of each band are determined. This methodology that uses Matlab & Simulink program is equally successful like the unsupervised and supervised methods. Practices with these methods that lead to qualitative and quantitative assessments of selected urban areas will further provide important spatial information and data especially to the urban planners and decision-makers.

Kaynakça

  • Boardman, JW., Kruse, FA. (1995). Mapping target signature via partial unmixing of AVIRIS data. Summaries of the 5th JPL Airborne Earth Science Workshop; JPL Publication 95–1, NASA Jet Propulsion Laboratory, Pasadena, Calif., 1995; pp. 23–26.
  • Dimyati, M., Mizuno, K., Shintaro, K., Kitamur, T. (1996). An analysis of land use/cover change using the combination of MSS Landsat and land use map - a case study in Yogyakarta, Indonesia, International Journal of Remote Sensing, 17: 931-944.
  • Forster, BC., Jones, C. (1988). Urban density monitoring using high resolution space borne system, Com. VII (Kyoto: ISPRS), pp: 189-195.
  • Hung, MC. (2002). Urban land cover analysis from satellite images, Pecora 15/Land Satellite Information IV/ISPRS Commission I/FIEOS 2002, Conference Proceedings, p 1.
  • Jensen, JR., Toll, DL. (1982). Detecting residential land-use development at the urban fringe, Photogrammetric Engineering and Remote Sensing, 48: 629-643.
  • Kaya S., Pekin F., Seker DZ. (2013). Automation of V-I-S model Using Matlab & Simulink on user selected areas, ACRS 2013, Proceedings in CD, 20-24 October, Bali, Indonesia.
  • Kaya, S. (2007). Multitemporal Analysis of Rapid Urban Growth in Istanbul Using Remotely Sensing Data, Environmental Engineering Science, 24(2): 228-233.
  • Kaya, S., Curran, PJ. (2006). Monitoring urban growth on the European side of the Istanbul metropolitan area: a case study, International Journal of Applied Earth Observation and Geoinformation, 8(1): 18-25.
  • Kaya, S., Llewellyn, G., Curran, PJ. (2004). Displaying earthquake damage on an urban area using a V-I-S model and remotely sensed data, XXth Congress of the International Society for Photogrammetry and Remote Sensing (ISPRS), 2004, 12-25 July, Istanbul, Turkey.
  • Kaya, S., Pekin, F. (2011). Use of logic filters in remote sensing: an application on V-I-S model, 13th Turkish Scientific and Technical Mapping Congress, Proceedings in CD, 18-22 April, Ankara. (in Turkish).
  • Kaya, S., Seker, DZ., Tanik, A. (2012). Analysis of urbanized areas using V-I-S components model, Fresenius Environmental Bulletin, 21(11): 3243-3248.
  • Lee, S.; Lathrop, RG. Jr. (2005). Sub-pixel estimation of urban land cover components with linear mixture model analysis and Landsat Thematic Mapper imagery, International Journal of Remote Sensing, 26(22): 4885-4905.
  • Lu, D., Weng, Q. (2006). Use of impervious surface in urban land use classification, Remote Sensing of Environment, 102(1-2):146-160.
  • Madhavan, BB., Kubo, S., Kurisaki, NT., Sivakumar, VLN. (2001). Appraising the anatomy and spatial growth of the Bangkok Metropolitan area using a vegetation-impervious-soil model through remote sensing, International Journal of Remote Sensing, 22: 789-806.
  • Melesse, AM., Weng Q., Thenkabail PS., Senay GB. (2007). Remote sensing sensors and applications in environmental resources mapping and modeling, Sensors 2007, 7: 3209-3241.
  • Pathan, S.K., Sastry, SVC, Dhinwa, PS, Rao, M., Mujumdar, KL., Kumar, DS., Patkar, VN., Phatak, VN. (1993). Urban growth trend analysis using GIS techniques - a case study of the Bombay Metropolitan Region, International Journal of Remote Sensing, 14: 3169-3179.
  • Pekin, F., Kaya, S. (2010). Automation of V-I-S model using Matlab & Simulink, Third Remote Sensing and Geographical Information Systems Symposium, UZALCBS, Proceedings in CD, 11-13 October, Gebze-Kocaeli, pp. 428-435. (in Turkish).
  • Pekin, FH. (2010). Automation of V-I-S model using Matlab & Simulink, M.Sc. Thesis, ITU Informatics Institute, Maslak-Istanbul.(in Turkish).
  • Phinn, S., Stanford, M., Scarth, P., Murray, AT., Shyy, PT. (2002). Monitoring the composition of urban environments based on the vegetation-impervious surface-soil (VIS) model by sub pixel analysis techniques, International Journal of Remote Sensing, 20: 4131-4153.
  • Powell, RL., Roberts, DA., Dennison, PE., Hess, LL. (2007). Sub-pixel mapping of urban land cover using multiple end-member spectral mixture analysis: Manaus, Brazil. Remote Sensing of Environment 2007, 106(2): 253-267.
  • Ridd, MK. (1995). Exploring a V-I-S model for urban ecosystem analysis through remote sensing: comparative anatomy for cities, International Journal of Remote Sensing, 16: 2165-2185.
  • Setiawan, E., Mathieu, R. (2006). Assessing the applicability of the V-I-S model to map urban land use in the developing world: Case study of Yogyakarta, Indonesia, Computers, Environment and Urban Systems, 30(4): 503-522.
  • Small, C. (2001): Estimation of urban vegetation abundance by spectral mixture analysis, International Journal of Remote Sensing 2001, 22: 1305-1334.
  • Ward, D., Phinn, SR., Murray, AT. (2000). Monitoring growth in rapidly urbanizing areas using remotely sensed data, The Professional Geographer, 53: 371-386.
  • Welch, R., and Ehlers, M. (1987). Merging multi-resolution SPOT HRV and Landsat TM data, Photogrammetric Engineering and Remote Sensing, 52: 301-303.
  • Weng, Q., Lu, D., Schubring. J., (2004). Estimation of land surface temperature-vegetation abundance relationship for urban heat island studies, Remote Sensing of Environment 2004, 89: 467-483.
  • Wu, C., Murray, A.T. (2003). Estimating impervious surface distribution by spectral mixture analysis, Remote Sensing of Environment 2003, 84: 93-505.

Yıl 2014, Cilt 1, Sayı 1, 12 - 20, 10.11.2014
https://doi.org/10.30897/ijegeo.300722

Öz

Kaynakça

  • Boardman, JW., Kruse, FA. (1995). Mapping target signature via partial unmixing of AVIRIS data. Summaries of the 5th JPL Airborne Earth Science Workshop; JPL Publication 95–1, NASA Jet Propulsion Laboratory, Pasadena, Calif., 1995; pp. 23–26.
  • Dimyati, M., Mizuno, K., Shintaro, K., Kitamur, T. (1996). An analysis of land use/cover change using the combination of MSS Landsat and land use map - a case study in Yogyakarta, Indonesia, International Journal of Remote Sensing, 17: 931-944.
  • Forster, BC., Jones, C. (1988). Urban density monitoring using high resolution space borne system, Com. VII (Kyoto: ISPRS), pp: 189-195.
  • Hung, MC. (2002). Urban land cover analysis from satellite images, Pecora 15/Land Satellite Information IV/ISPRS Commission I/FIEOS 2002, Conference Proceedings, p 1.
  • Jensen, JR., Toll, DL. (1982). Detecting residential land-use development at the urban fringe, Photogrammetric Engineering and Remote Sensing, 48: 629-643.
  • Kaya S., Pekin F., Seker DZ. (2013). Automation of V-I-S model Using Matlab & Simulink on user selected areas, ACRS 2013, Proceedings in CD, 20-24 October, Bali, Indonesia.
  • Kaya, S. (2007). Multitemporal Analysis of Rapid Urban Growth in Istanbul Using Remotely Sensing Data, Environmental Engineering Science, 24(2): 228-233.
  • Kaya, S., Curran, PJ. (2006). Monitoring urban growth on the European side of the Istanbul metropolitan area: a case study, International Journal of Applied Earth Observation and Geoinformation, 8(1): 18-25.
  • Kaya, S., Llewellyn, G., Curran, PJ. (2004). Displaying earthquake damage on an urban area using a V-I-S model and remotely sensed data, XXth Congress of the International Society for Photogrammetry and Remote Sensing (ISPRS), 2004, 12-25 July, Istanbul, Turkey.
  • Kaya, S., Pekin, F. (2011). Use of logic filters in remote sensing: an application on V-I-S model, 13th Turkish Scientific and Technical Mapping Congress, Proceedings in CD, 18-22 April, Ankara. (in Turkish).
  • Kaya, S., Seker, DZ., Tanik, A. (2012). Analysis of urbanized areas using V-I-S components model, Fresenius Environmental Bulletin, 21(11): 3243-3248.
  • Lee, S.; Lathrop, RG. Jr. (2005). Sub-pixel estimation of urban land cover components with linear mixture model analysis and Landsat Thematic Mapper imagery, International Journal of Remote Sensing, 26(22): 4885-4905.
  • Lu, D., Weng, Q. (2006). Use of impervious surface in urban land use classification, Remote Sensing of Environment, 102(1-2):146-160.
  • Madhavan, BB., Kubo, S., Kurisaki, NT., Sivakumar, VLN. (2001). Appraising the anatomy and spatial growth of the Bangkok Metropolitan area using a vegetation-impervious-soil model through remote sensing, International Journal of Remote Sensing, 22: 789-806.
  • Melesse, AM., Weng Q., Thenkabail PS., Senay GB. (2007). Remote sensing sensors and applications in environmental resources mapping and modeling, Sensors 2007, 7: 3209-3241.
  • Pathan, S.K., Sastry, SVC, Dhinwa, PS, Rao, M., Mujumdar, KL., Kumar, DS., Patkar, VN., Phatak, VN. (1993). Urban growth trend analysis using GIS techniques - a case study of the Bombay Metropolitan Region, International Journal of Remote Sensing, 14: 3169-3179.
  • Pekin, F., Kaya, S. (2010). Automation of V-I-S model using Matlab & Simulink, Third Remote Sensing and Geographical Information Systems Symposium, UZALCBS, Proceedings in CD, 11-13 October, Gebze-Kocaeli, pp. 428-435. (in Turkish).
  • Pekin, FH. (2010). Automation of V-I-S model using Matlab & Simulink, M.Sc. Thesis, ITU Informatics Institute, Maslak-Istanbul.(in Turkish).
  • Phinn, S., Stanford, M., Scarth, P., Murray, AT., Shyy, PT. (2002). Monitoring the composition of urban environments based on the vegetation-impervious surface-soil (VIS) model by sub pixel analysis techniques, International Journal of Remote Sensing, 20: 4131-4153.
  • Powell, RL., Roberts, DA., Dennison, PE., Hess, LL. (2007). Sub-pixel mapping of urban land cover using multiple end-member spectral mixture analysis: Manaus, Brazil. Remote Sensing of Environment 2007, 106(2): 253-267.
  • Ridd, MK. (1995). Exploring a V-I-S model for urban ecosystem analysis through remote sensing: comparative anatomy for cities, International Journal of Remote Sensing, 16: 2165-2185.
  • Setiawan, E., Mathieu, R. (2006). Assessing the applicability of the V-I-S model to map urban land use in the developing world: Case study of Yogyakarta, Indonesia, Computers, Environment and Urban Systems, 30(4): 503-522.
  • Small, C. (2001): Estimation of urban vegetation abundance by spectral mixture analysis, International Journal of Remote Sensing 2001, 22: 1305-1334.
  • Ward, D., Phinn, SR., Murray, AT. (2000). Monitoring growth in rapidly urbanizing areas using remotely sensed data, The Professional Geographer, 53: 371-386.
  • Welch, R., and Ehlers, M. (1987). Merging multi-resolution SPOT HRV and Landsat TM data, Photogrammetric Engineering and Remote Sensing, 52: 301-303.
  • Weng, Q., Lu, D., Schubring. J., (2004). Estimation of land surface temperature-vegetation abundance relationship for urban heat island studies, Remote Sensing of Environment 2004, 89: 467-483.
  • Wu, C., Murray, A.T. (2003). Estimating impervious surface distribution by spectral mixture analysis, Remote Sensing of Environment 2003, 84: 93-505.

Ayrıntılar

Konular Mühendislik
Bölüm Research Articles
Yazarlar

Şinasi KAYA>
Istanbul Technical University, Civil Engineering Faculty, Department of Geomatics, Maslak, Istanbul
Türkiye


Fikret PEKİN Bu kişi benim
Istanbul Technical University, Informatics Institute, Maslak, Istanbul
Türkiye


Dursun Zafer ŞEKER>
Istanbul Technical University, Informatics Institute, Maslak, Istanbul
Türkiye


Ayşegül TANIK>
Istanbul Technical University, Civil Engineering Faculty, Department of Environmental Engineering
Türkiye

Yayımlanma Tarihi 10 Kasım 2014
Yayınlandığı Sayı Yıl 2014, Cilt 1, Sayı 1

Kaynak Göster

Bibtex @araştırma makalesi { ijegeo300722, journal = {International Journal of Environment and Geoinformatics}, eissn = {2148-9173}, address = {}, publisher = {Cem GAZİOĞLU}, year = {2014}, volume = {1}, number = {1}, pages = {12 - 20}, doi = {10.30897/ijegeo.300722}, title = {An Algorithm Approach for the Analysis of Urban Land-Use/Cover: Logic Filters}, key = {cite}, author = {Kaya, Şinasi and Pekin, Fikret and Şeker, Dursun Zafer and Tanık, Ayşegül} }
APA Kaya, Ş. , Pekin, F. , Şeker, D. Z. & Tanık, A. (2014). An Algorithm Approach for the Analysis of Urban Land-Use/Cover: Logic Filters . International Journal of Environment and Geoinformatics , 1 (1) , 12-20 . DOI: 10.30897/ijegeo.300722
MLA Kaya, Ş. , Pekin, F. , Şeker, D. Z. , Tanık, A. "An Algorithm Approach for the Analysis of Urban Land-Use/Cover: Logic Filters" . International Journal of Environment and Geoinformatics 1 (2014 ): 12-20 <https://dergipark.org.tr/tr/pub/ijegeo/issue/28163/300722>
Chicago Kaya, Ş. , Pekin, F. , Şeker, D. Z. , Tanık, A. "An Algorithm Approach for the Analysis of Urban Land-Use/Cover: Logic Filters". International Journal of Environment and Geoinformatics 1 (2014 ): 12-20
RIS TY - JOUR T1 - An Algorithm Approach for the Analysis of Urban Land-Use/Cover: Logic Filters AU - ŞinasiKaya, FikretPekin, Dursun ZaferŞeker, AyşegülTanık Y1 - 2014 PY - 2014 N1 - doi: 10.30897/ijegeo.300722 DO - 10.30897/ijegeo.300722 T2 - International Journal of Environment and Geoinformatics JF - Journal JO - JOR SP - 12 EP - 20 VL - 1 IS - 1 SN - -2148-9173 M3 - doi: 10.30897/ijegeo.300722 UR - https://doi.org/10.30897/ijegeo.300722 Y2 - 2014 ER -
EndNote %0 International Journal of Environment and Geoinformatics An Algorithm Approach for the Analysis of Urban Land-Use/Cover: Logic Filters %A Şinasi Kaya , Fikret Pekin , Dursun Zafer Şeker , Ayşegül Tanık %T An Algorithm Approach for the Analysis of Urban Land-Use/Cover: Logic Filters %D 2014 %J International Journal of Environment and Geoinformatics %P -2148-9173 %V 1 %N 1 %R doi: 10.30897/ijegeo.300722 %U 10.30897/ijegeo.300722
ISNAD Kaya, Şinasi , Pekin, Fikret , Şeker, Dursun Zafer , Tanık, Ayşegül . "An Algorithm Approach for the Analysis of Urban Land-Use/Cover: Logic Filters". International Journal of Environment and Geoinformatics 1 / 1 (Kasım 2014): 12-20 . https://doi.org/10.30897/ijegeo.300722
AMA Kaya Ş. , Pekin F. , Şeker D. Z. , Tanık A. An Algorithm Approach for the Analysis of Urban Land-Use/Cover: Logic Filters. International Journal of Environment and Geoinformatics. 2014; 1(1): 12-20.
Vancouver Kaya Ş. , Pekin F. , Şeker D. Z. , Tanık A. An Algorithm Approach for the Analysis of Urban Land-Use/Cover: Logic Filters. International Journal of Environment and Geoinformatics. 2014; 1(1): 12-20.
IEEE Ş. Kaya , F. Pekin , D. Z. Şeker ve A. Tanık , "An Algorithm Approach for the Analysis of Urban Land-Use/Cover: Logic Filters", International Journal of Environment and Geoinformatics, c. 1, sayı. 1, ss. 12-20, Kas. 2014, doi:10.30897/ijegeo.300722