Land-Use/Land Cover Analysis Through Object Based Technique: A Case Study of Shahrah-e-Faisal
DOI:
https://doi.org/10.12775/EQ.2023.024Keywords
Mixed-Used Development, Business Centre, Land-Use/Land Cover, Object Based Analysis, Smart City Growth, GreenwaysAbstract
Karachi is the major financial hub of Pakistan. The urban sprawl generates many sub financial hubs as well e.g. Saddar which is consider as CBD of metropolitan, specifically area along I.I. Chundrigar road is almost have offices and business set-up. The similar pattern has been emerged in many other places e.g. Shahrah-e-Faisal and Tariq road. Along all three major roads mixed-used development particularly commercialization has taken place prominently and these sectors emerged as main business Centre. The present study was aimed to assess the Land-Use/Land Cover (LU/LC), green cover and air quality index analysis through object based analysis on very high-resolution satellite imagery at Shahrah-e-Faisal. The obtained results showed that the combine three activities such as Shopping, Business and Trade (SBT), Social, Institutional and Infrastructure related activities (SII), and travel or movement (ToM) were occupied on 51.34% of land. The residential activities also make an attractive volume of proportion was up to 47.11%. Therefore, it can be the perfect example of smart growth if introduction greenways initiate more effectively along with some attraction spots for Leisure.
References
Alsharif M., Alzandi A.A., Shrahily R. & Mobarak, B., 2022, Land Use Land Cover Change Analysis for Urban Growth Prediction Using Landsat Satellite Data and Markov Chain Model for Al Baha Region Saudi Arabia. Forests 13(10): 1530.
Ban Y., Hu H. & Rangel I.M., 2010, Fusion of Quickbird MS and RADARSAT SAR data for urban land-cover mapping: Object-based and knowledge-based approach. International Journal of Remote Sensing 31(6): 1391-1410.
EPA, 2022, Criteria Air Pollutant. https://www.epa.gov/criteria-air-pollutants
Hu H. & Ban Y., 2008, Urban land use/land cover mapping with high-resolution SAR imagery by integrating support vector machines into object-based analysis, [in:] Remote Sensing for Environmental Monitoring. GIS Applications, and Geology VIII 7110: 137-144.
Kausar A., Afsar S., Wazir Z., Lahori A.H., Afzal A., Arif J., Sydorenko V., Pruskyi A. & Tyshchenko V., 2022, Land Use Analysis of Central Business District (CBD) of Metropolis Saddar Karachi through SRS/GIS Techniques. Ecological Questions 33(1): 91-101.
Kim D.G. & Kirschbaum M.U., 2015, The effect of land-use change on the net exchange rates of greenhouse gases: A compilation of estimates. Agriculture, Ecosystems & Environment 208: 114–126.
Krishnan V.S. & Firoz C.M., 2021, Impact of land use and land cover change on the environmental quality of a region: A case of Ernakulam district in Kerala, India. Regional Statistics 11(2): 102-135.
Nizamani J.A., 2020, Assessment of different hazards and vulnerabilities with sparse data in coastal city of Karachi, Pakistan. Master's Thesis, Middle East Technical University, Ankara, Turkey, 132 pp.
Rabianski J., Gibler K., Tidwell O.A. & Clements III, J.S., 2009, Mixed-use development: A call for research. Journal of Real Estate Literature 17(2): 205-230.
Shrahily R.Y., Alsharif M.A., Mobarak B.A. & Alzandi A.A., 2022, Land Cover Mapping Using GIS and Remote Sensing Databases for Al Baha Region Saudi Arabia. Applied Sciences 12(16): 8115.
Shrivastava R. & Sharma A., 2012, Smart Growth: A Modern Urban Principle. Architecture Research 1(1): 8-11.
Sohoo I., Ritzkowski M., Heerenklage J. & Kuchta K., 2021, Biochemical methane potential assessment of municipal solid waste generated in Asian cities: A case study of Karachi, Pakistan. Renewable and Sustainable Energy Reviews 135: 110175.
Tehrany M.S., Pradhan B. & Jebuv M.N., 2014, A comparative assessment between object and pixel-based classification approaches for land use/land cover mapping using SPOT 5 imagery. Geocarto International 29(4): 351-369.
Tilley J.A., 2016, The value of mixing uses: an empirical analysis of mixed-use developments in Boston, MA. Doctoral dissertation, Massachusetts Institute of Technology.
Xian G., 2007, Analysis of impacts of urban land use and land cover on air quality in the Las Vegas region using remote sensing information and ground observations. International Journal of Remote Sensing 28(24): 5427-5445.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Anila Kausar, Ambreen Afzal, Ghuffran Saeed, Asad Maqsoom, Owais Iqbal Khan, Sheeba Afsar, Yasmeen Anis, Syeda Marium Zehra, Viola Vambol, Sergij Vambol
This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License.
Stats
Number of views and downloads: 520
Number of citations: 0
