Analysis for Mapping of Built-Up Area Using Remotely Sensed Indices – A Case Study of Rajarhat Block in Barasat Sadar Sub-Division in West Bengal (India)

Ghosh, Debashish Kumar; Mandal, Anukul Ch; Majumder, Raja; Patra, Poly; Bhunia, Gouri Sankar

doi:10.2478/jlecol-2018-0007

Abstract

Present study investigated mapping and monitoring urban land areas from Landsat8 satellite data using remotely sensed indices. The normalized difference built-up index (NDBI), Enhanced Built-Up and Bareness Index (EBBI), Index-based built-up index (IBI), urban index (UI), normalized difference bareness index (NDBaI) were used to extract the built-up area. The NDBI was more effective at discriminating built-up areas and at increasing accuracy (overall accuracy of 76.45 % and kappa accuracy of 57 %) of the built-up density percentage than other remotely sensed indices. Evidence on built-up area change geographically would permit urban planner and decision makers to comprehend and appraise urban growth pattern in regards to land cover dynamics.

References

As-syakur, A.R., Adnyana, W.S., Arthana, W., Nuarsa, W. (2012). Enhanced Built-Up and Bareness Index (EBBI) for Mapping Built-Up and Bare Land in an Urban Area. Remote Sens. 2012, 4, pp. 2957-2970.10.3390/rs4102957
Search in Google Scholar Back to article
Bouhennache, R., Bouden, T., Taleb, A.A., Chaddad, A. (2015). Extraction of urban land features from TM Landsat image using the land features index and Tasseled cap transformation. Recent Advances on Electroscience and Computers. 2015, pp. 142-147, ISBN: 978-1-61804-290-3.
Search in Google Scholar Back to article
Chen, W.B., Liu, S.Y., Yu, D., Zou, Q.M. (2009). Assessment of land use environmental impacts in urban built-up area: a case study in main built-up area of Nanchang City. Ying Yong Sheng Tai Xue Bao. 2009, 20(7), pp.1747-52.
Search in Google Scholar Back to article
He, C., Shi, P., Xie, D., Zhao, Y. (2010). Improving the normalized difference built-up index to map urban built-up areas using a semiautomatic segmentation approach. Remote Sensing Letters, 2010, 1(4).10.1080/01431161.2010.481681
Search in Google Scholar Back to article
Kawamura, M., Jayamana, S., Tsujiko, Y. (1996). Relation between social and environmental conditions in Colombo Sri Lanka and the urban index estimated by satellite remote sensing data. Int. Arch. Photogramm. Remote Sens. 1996, 31 (Part B7), pp. 321–326.
Search in Google Scholar Back to article
Kumari, A., Shekhar, S. (2016). Quantifying Spatio-Temporal Changes in Urban Area of Gulbarga City Using Remote Sensing and Spatial Metrics. IOSR Journal of Environmental Science, Toxicology and Food Technology 2016, 10(5), pp. 44-49.
Search in Google Scholar Back to article
Lesaignoux, A, Fabre, S., Briottet, X., Olioso, A. (2006). Influence of surface moisture on spectral reflectance of bare soil in the 0.4 – 1.5µm domain I Proceedings of the 6^th EARSeL SIG IS Workshop, Tel-Aviv, Israel, 16 – 19 March, 2006 (p. 6).
Search in Google Scholar Back to article
Li, H., Wang, C., Zhong, C., Su, A., Xiong, C., Wang, J., Liu, J. (2017). Mapping Urban Bare Land Automatically from Landsat Imagery with a Simple Index. Remote Sens. 2017, 9, 249; doi:10.3390/rs9030249.10.3390/rs9030249
Open DOI Search in Google Scholar Back to article
Melesse, A.M., Weng, Q. S., Thenkabail, P., Senay, G.B. (2007). Remote Sensing Sensors and Applications in Environmental Resources Mapping and Modelling. Sensors (Basel, Switzerland). 2007; 7(12), pp. 3209-3241.10.3390/s7123209384189128903290
Search in Google Scholar Back to article
Middey, A., Kaware, P.B. (2016). Disposition of Lightning Activity Due to Pollution Load during Dissimilar Seasons as Observed from Satellite and Ground-Based Data. Climate 2016, 4(2), 28; doi:10.3390/cli4020028.10.3390/cli4020028
Open DOI Search in Google Scholar Back to article
Paul, S., Chatterjee, K. (2012). Urbanisation and Consistency Measurement: A Study on District of North 24 Parganas, West Bengal, India. Archives of Applied Science Research, 2012, 4 (5), pp. 2052-2067.
Search in Google Scholar Back to article
Rahaman, M. (2018). Urban Population Growth in the Municipalities of North 24 Parganas: A Spatio-Temporal Analysis. World Wide Journal of Multidisciplinary Research and Development, 2018; 4(3), pp. 68-73.
Search in Google Scholar Back to article
Rikimaru, A.; Miyatake, S. (1997). Development of Forest Canopy Density Mapping and Monitoring Model using Indices of Vegetation, Bare soil and Shadow. In Proceeding of the 18th Asian Conference on Remote Sensing (ACRS) 1997 (p.3), Kuala Lumpur, Malaysia, 20–25 October 1997.
Search in Google Scholar Back to article
Sen, S. (2011). Effect of Urban Sprawl on Human Habitation in Urban Fringe and Peri-Urban Areas in Kolkata Metropolitan Area. Institute of Town Planners, 2011, pp. 58–66.
Search in Google Scholar Back to article
Sinha, P., Verma, N.K., Ayele, E. (2016). Urban Built-up Area Extraction and Change Detection of Adama Municipal Area using Time-Series Landsat Images. International Journal of Advanced Remote Sensing and GIS. 2016, 5(8), pp. 1886-1895.10.23953/cloud.ijarsg.67
Search in Google Scholar Back to article
Sukristiyanti, R., Suharyadi, Jatmiko, R.H. (2007). Evaluasi Indeks Urban pada citra Landsat Multitemporal dalam ekstraksi kepadatan bangunan. Jurnal Riset Geologi dan Pertambangan 2007, 17, pp. 1–10.10.14203/risetgeotam2007.v17.153
Search in Google Scholar Back to article
Tamilenthi, S., Punithavathi, J., Baskaran, R., ChandraMohan, K. (2011). Dynamics of urban sprawl, changing direction and mapping: A case study of Salem city, Tamilnadu, India. Archives of Applied Science Research, 2011, 3 (1), pp. 277-286.10.15373/2249555X/DEC2013/82
Search in Google Scholar Back to article
Weng, L., Lub, D., Schubring, J. (2004). Estimation of land surface temperature–vegetation abundance relationship for urban heat island studies. Remote Sensing of Environment 89 (2004), pp. 467 – 483.10.1016/j.rse.2003.11.005
Search in Google Scholar Back to article
Weng, Q., Hu, X., and Lu, D. (2008). Extracting Impervious Surface from Medium Spatial Resolution Multispectral and Hyperspectral Imagery: A comparison. International Journal of Remote Sensing. 2008. 29 (11), pp. 3209-3232.10.1080/01431160701469024
Search in Google Scholar Back to article
Xu, H. (2008). A new index for delineating built-up land features in satellite imagery. Int. J. Remote Sens. 2008, 29, pp. 4269–4276.10.1080/01431160802039957
Search in Google Scholar Back to article
Yüskel, A., Akay, A.E., Gundogan, R. (2008). Using ASTER imagery in land use/cover classification of eastern Mediterranean landscapes according to CORINE land cover project. Sensors 2008, 8, pp. 1237–1251.10.3390/s8021287
Search in Google Scholar Back to article
Zha, Y., Gao, J., Ni, S. (2003). Use of normalized difference built-up index in automatically mapping urban areas from TM imagery. Int. J. Remote Sens. 2003, 24, pp. 583–594.10.1080/01431160304987
Search in Google Scholar Back to article
Zhao, H.M., Chen, X.L. (2005). Use of Normalized Difference Bareness Index in Quickly Mapping Bare Areas from TM/ETM+. In Proceedings of 2005 IEEE International Geoscience and Remote Sensing Symposium (pp. 1666–1668), Seoul, Korea, 25–29 July 2005; Volume 3.
Search in Google Scholar Back to article

Analysis for Mapping of Built-Up Area Using Remotely Sensed Indices – A Case Study of Rajarhat Block in Barasat Sadar Sub-Division in West Bengal (India)

Abstract

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