Skip to main content

Advertisement

SpringerLink
Log in

A New Spectral Index for Extraction of Built-Up Area Using Landsat-8 Data

  • Short Note
  • Published:
Journal of the Indian Society of Remote Sensing Aims and scope Submit manuscript

Abstract

This research paper presents development of a new spectral index, it was proposed to extract the built-up area from medium spatial resolution satellite imagery data; a Landsat Operational Land Imager, and the Thermal Infrared Sensor “OLI_TIRS”. The newly developed spectral index was derived from Band ratios, it was compared with four previously used spectral indices; the Band Ratio for Built-up Area (BRBA), the Normalized Built-up Area Index (NBAI), the New Built-up Index (NBI) and the Normalized Built-up Index (NDBI). Indices were applied to extract built- up area of Djelfa city, South Algiers, in the central part of North Algeria. The results indicated that newly developed spectral index for extract the built-up area, using overall accuracy and kappa coefficient, are superior as compared to ones of the other spectral indices.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  • Biraud-Burot, I. (2005). Etudier la ville à travers le prisme de la végétation. Thèse de doctorat, Ecole Doctorale de Géographie de Paris, Université Paris-Sorbonne, Paris IV, Paris. P.331.

  • Bouziani, M., Goïta, K., & He, D.C. (2007). Change detection of buildings in urban environment from high spatial resolution satellite images using existing cartographic data and prior knowledge. IEEE International Geoscience And Remote Sensing Symposium, Barcelona, Spain.

  • Cabral, P. (2007). Délimitation d’aires urbaines à partir d’une images satellitaire ETM+ : comparaison de méthode de classification. Journal Canadien De Télédétection, 33(5), 422–430.

    Google Scholar 

  • Cabral, P., Gilg, J.-P., & Painho, M. (2005). Monitoring urban growth using remote sensing, GIS and spatial metrics. In: Proceedings of SPIE Optics & Photonics: Remote sensing and modelling of ecosystems for sustainability. San Diego, USA.

  • Caloz, R., & Collet, C. (2001). Précis de la télédétection, volume 03 : Traitement d’images numériques de télédétection, Production d’images non spectrales, Propriétés des indices (pp. 217–270). Presses de l’Université du Québec/AUF.

  • Chen, X. L., Zhao, H., Li, P., & Yin, Z. (2006). Remote sensing image-based analysis of the relationship between urban heat island and land use/cover changes. Remote Sensing of Environment, 104, 133–146.

  • Congalton, R. G. (1991). A review of assessing the accuracy of classifications of remotely sensed data. Remote Sensing of Environment, 37, 35–46. doi:10.1016/0034-4257(91)90048-B.

    Article  Google Scholar 

  • Gluch, R. (2002). Urban growth detection using texture analysis on merged Landsat TM and SPOT-P data. Photogrammetric Engineering and Remote Sensing, 68(12), 1283–1288.

    Google Scholar 

  • Gong, P., & Howarth, P. J. (1990). The use of structure information for improving land-cover classification accuracies at the rural–urban fringe. Photogrammetric Engineering and Remote Sensing, 56(1), 67–73.

    Google Scholar 

  • Harris, P., & Ventura, S. (1995). The integration of geographic data with remotely sensed imagery to improve classification in an urban area. Photogrammetric Engineering and Remote Sensing Journal, 61(8), 993–998.

    Google Scholar 

  • Jieli, C., Manchun, L., Yongxue, L., Chenglei, S., & Wei, H. (2010). Extract residential areas automatically by new built-up index. 18th 2010 International Conference on Geoinformatics. IEEE, 1–5.

  • Mesev, V. (1998). The use of census data in urban image classification. Photogrammetric Engineering and Remote Sensing, 64(5), 431–436.

    Google Scholar 

  • Shaban, M. A., & Dikshit, O. (2001). Improvement of classification in urban areas by the use of textural features: the case study of Lucknow city, Uttar Pradesh. International Journal of Remote Sensing, 22, 565–593.

    Article  Google Scholar 

  • Waqar, M. M., Mirza, J. F., Mumtaz, R., & Hussain, E. (2012). Development of new indices for extraction of built-up area & bare soil from landsat data. Open Access Scientific Reports, 1(1), 4.

    Google Scholar 

  • Weber, C. (2001). Remote sensing data used for urban delimitation. In remote sensing and urban analysis (pp. 155–167). London: Taylor and Francis.

    Google Scholar 

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

    Article  Google Scholar 

  • Zhang, Q., Wang, J., Peng, X., Gong, P., & Shi, P. (2002). Urban built-up land change detection with road density and spectral information from multi-temporal Landsat TM data. International Journal of Remote Sensing, 23(15), 3057–3078.

    Article  Google Scholar 

Download references

Acknowledgments

The authors would like to thank the editors and anonymous reviewers for their valuable comments and insightful ideas.

Author information

Authors and Affiliations

  1. Faculty of Earth Sciences and Country Planning, University of Sciences and Technology Houari Boumdiene, BP 32 El Alia, 16111, Bab Ezzouar, Algiers, Algeria

    Sara Bouzekri & Ammar Lachehab

  2. Faculty of Natural Sciences and Life, University of Ziane Achour, BP 3117, Moudjbara Road, 17000, Djelfa, Algeria

    Abdel Aziz Lasbet

Authors
  1. Sara Bouzekri
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Abdel Aziz Lasbet
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Ammar Lachehab
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Sara Bouzekri.

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Bouzekri, S., Lasbet, A.A. & Lachehab, A. A New Spectral Index for Extraction of Built-Up Area Using Landsat-8 Data. J Indian Soc Remote Sens 43, 867–873 (2015). https://doi.org/10.1007/s12524-015-0460-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12524-015-0460-6

Keywords

Search

Navigation