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

Journal of the Indian Society of Remote Sensing

Volumn 43, Issue 4, 2015, Pages 867-873

  Bouzekri, Sara ^a   Lasbet, Abdel Aziz ^b   Lachehab, Ammar ^a  

^a UNIVERSITY OF SCIENCES AND TECHNOLOGY HOUARI BOUMEDIENE   (Algeria)

^b UNIVERSITY OF DJELFA   (Algeria)

Author keywords

Built up area; Extraction; Index; Landsat

Indexed keywords

ACCURACY ASSESSMENT; IMAGE ANALYSIS; LANDSAT; SATELLITE DATA; SATELLITE IMAGERY; SPATIAL RESOLUTION; SPECTRAL ANALYSIS;

ALGERIA; DJELFA;

EID: 84947612688     PISSN: 0255660X     EISSN: 09743006     Source Type: Journal    
DOI: 10.1007/s12524-015-0460-6     Document Type: Article

References (17)

1. 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.
2. 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.
3. 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.
4. 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.
5. 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.
6. 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.
7. 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.
8. 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.
9. 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.
10. 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.
11. 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.
12. Mesev, V. (1998). The use of census data in urban image classification. Photogrammetric Engineering and Remote Sensing, 64(5), 431–436.
13. 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.
14. 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.
15. Weber, C. (2001). Remote sensing data used for urban delimitation. In remote sensing and urban analysis (pp. 155–167). London: Taylor and Francis.
16. 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.
17. 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.