Studying urbanization pattern in Sambalpur City during 1992-2042 using CA-ANN, and Markov-Chain model

Avijit Bag; Arabinda Sharma; Sudhakar Pal

doi:10.26833/ijeg.1452005

Araştırma Makalesi

Yıl 2024, Cilt: 9 Sayı: 3, 356 - 367, 31.10.2024

Avijit Bag , Arabinda Sharma , Sudhakar Pal

https://doi.org/10.26833/ijeg.1452005

Cited By: 1

Öz

Kaynakça

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8. Khwarahm, N. R., Najmaddin, P. M., Ararat, K., & Qader, S. (2021). Past and future prediction of land cover land use change based on earth observation data by the CA–Markov model: a case study from Duhok governorate, Iraq. Arabian Journal of Geosciences, 14(15), 1–14. https://doi.org/10.1007/s12517-021-07984-6
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10. Forkuor, G., & Cofie, O. (2011). Dynamics of land-use and land-cover change in Freetown, Sierra Leone and its effects on urban and peri-urban agriculture - a remote sensing approach. International Journal of Remote Sensing, 32(4), 1017–1037. https://doi.org/10.1080/01431160903505302
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13. Haregeweyn, N., Fikadu, G., Tsunekawa, A., Tsubo, M., & Meshesha, D. T. (2012). The dynamics of urban expansion and its impacts on land use/land cover change and small-scale farmers living near the urban fringe: A case study of Bahir Dar, Ethiopia. Landscape and Urban Planning, 106(2), 149–157. https://doi.org/10.1016/j.landurbplan.2012.02.016
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16. Gibril, M. B. A., Bakar, S. A., Yao, K., Idrees, M. O., & Pradhan, B. (2017). Fusion of RADARSAT-2 and multispectral optical remote sensing data for LULC extraction in a tropical agricultural area. Geocarto International, 32(7), 735–748. https://doi.org/10.1080/10106049.2016.1170893
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18. Prasad, N., & Das, T. (2019). Impact of land use and land cover on aquatic macrophyte community composition in small streams: A case study from cachar district of assam in northeast India. Indian Journal of Ecology, 46(2), 363–370.
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20. Tolentino, F. M., & de Lourdes Bueno Trindade Galo, M. (2021). Selecting features for LULC simultaneous classification of ambiguous classes by artificial neural network. Remote Sensing Applications: Society and Environment, 24(May), 100616. https://doi.org/10.1016/j.rsase.2021.100616
21. Thenkabail, P. S., Schull, M., & Turral, H. (2005). Ganges and Indus River basin land use/land cover (LULC) and irrigated area mapping using continuous streams of MODIS data. Remote Sensing of Environment, 95(3), 317–341. https://doi.org/10.1016/j.rse.2004.12.018
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Studying urbanization pattern in Sambalpur City during 1992-2042 using CA-ANN, and Markov-Chain model

Yıl 2024, Cilt: 9 Sayı: 3, 356 - 367, 31.10.2024

Avijit Bag , Arabinda Sharma , Sudhakar Pal

https://doi.org/10.26833/ijeg.1452005

Cited By: 1

Öz

Models of land use/land cover (LULC) are crucial for assessing changes in LULC, forecasting land use needs, and providing guidance for appropriate land use planning and management, especially in urban areas. Urban sprawl is one of the main causes of the erratic variation in LULC around the globe. In this study, we used the CA-ANN and Markov-Chain models to analyze the LULC simulation based on LULC patterns from previous decades as well as the directional changes of urban expansion in Sambalpur city. We used the random forest (RF) model and Landsat imagery to prepare LULC maps for the years 1992, 2002, 2012, and 2022 for better classification accuracy. The result showed that the overall accuracy and kappa values were 94.24%, 89%, 94%, and 90% and 0.92, 0.80, 0.90, and 0.85, respectively, for the selective years. Based on the transition matrix model (1992–2012), the LULC map of the year 2022 was obtained and validated, and subsequently, LULC maps for the years 2032 and 2042 were predicted with a Kappa value of 94.97% and 93.24%, respectively. The findings indicate that the largest proportion of bare land underwent conversion within the settlement area, with the highest degree of sprawl observed in the northwestern direction and 4-kilometer buffer zones. These findings define current and future patterns in LULC and offer vital information for planning and sustainable land use management in Sambalpur city.

Anahtar Kelimeler

Land use/land cover, CA-ANN, Markov- Chain, Urban Sprawl, Random Forest Model

Teşekkür

The 1st author is thankful to the University Grants Commission, New Delhi for providing with fellowship for carrying out the research work.

Kaynakça

1. Zhang, X. Q. (2016). The trends, promises and challenges of urbanisation in the world. Habitat International, 54(13), 241–252. https://doi.org/10.1016/j.habitatint.2015.11.018
2. United Nations, (2018). 68% of the world population projected to live in urban areas by 2050. Retrived June 17, 2023, from https://www.un.org/development/desa/en/news/population/2018-revision-of-world-urbanization-prospects.html
3. Sridhar, K. S. (2021). Urbanization and COVID-19 Prevalence in India. Regional Science Association International, 2(July 2020), 493–505. https://doi.org/10.1111/rsp3.12503
4. Mishra, V. N., & Rai, P. K. (2016). A remote sensing aided multi-layer perceptron-Markov chain analysis for land use and land cover change prediction in Patna district (Bihar), India. Arabian Journal of Geosciences, 9(4). https://doi.org/10.1007/s12517-015-2138-3
5. Uddin, M. S., Mahalder, B., & Mahalder, D. (2023). Assessment of Land Use Land Cover Changes and Future Predictions Using CA-ANN Simulation for Gazipur City Corporation, Bangladesh. Sustainability (Switzerland), 15(16). https://doi.org/10.3390/su151612329
6. Baig, M. F., Mustafa, M. R. U., Baig, I., Takaijudin, H. B., & Zeshan, M. T. (2022). Assessment of Land Use Land Cover Changes and Future. Water, 1–17. Retrieved from https://doi.org/ 10.3390/w14030402
7. Saputra, M. H., & Lee, H. S. (2019). Prediction of land use and land cover changes for North Sumatra, Indonesia, using an artificial-neural-network-based cellular automaton. Sustainability (Switzerland), 11(11), 1–16. https://doi.org/10.3390/su11113024
8. Khwarahm, N. R., Najmaddin, P. M., Ararat, K., & Qader, S. (2021). Past and future prediction of land cover land use change based on earth observation data by the CA–Markov model: a case study from Duhok governorate, Iraq. Arabian Journal of Geosciences, 14(15), 1–14. https://doi.org/10.1007/s12517-021-07984-6
9. Jat, M. K., Garg, P. K., & Khare, D. (2008). Monitoring and modelling of urban sprawl using remote sensing and GIS techniques. International Journal of Applied Earth Observation and Geoinformation, 10(1), 26–43. https://doi.org/10.1016/j.jag.2007.04.002
10. Forkuor, G., & Cofie, O. (2011). Dynamics of land-use and land-cover change in Freetown, Sierra Leone and its effects on urban and peri-urban agriculture - a remote sensing approach. International Journal of Remote Sensing, 32(4), 1017–1037. https://doi.org/10.1080/01431160903505302
11. Araya, Y. H., & Cabral, P. (2010). Analysis and modeling of urban land cover change in Setúbal and Sesimbra, Portugal. Remote Sensing, 2(6), 1549–1563. https://doi.org/10.3390/rs2061549
12. Mundia, C., & Murayama, Y. (2010). Modeling spatial processes of urban growth in african cities: A case study of nairobi city. Urban Geography, 31(2), 259–272. https://doi.org/10.2747/0272-3638.31.2.259
13. Haregeweyn, N., Fikadu, G., Tsunekawa, A., Tsubo, M., & Meshesha, D. T. (2012). The dynamics of urban expansion and its impacts on land use/land cover change and small-scale farmers living near the urban fringe: A case study of Bahir Dar, Ethiopia. Landscape and Urban Planning, 106(2), 149–157. https://doi.org/10.1016/j.landurbplan.2012.02.016
14. Fenta, A. A., Yasuda, H., Haregeweyn, N., Belay, A. S., Hadush, Z., Gebremedhin, M. A., & Mekonnen, G. (2017). The dynamics of urban expansion and land use/land cover changes using remote sensing and spatial metrics: The case of Mekelle city of northern Ethiopia. International Journal of Remote Sensing, 38(14), 4107–4129. https://doi.org/10.1080/01431161.2017.1317936
15. Natarajan, K., Latva-Käyrä, P., Zyadin, A., & Pelkonen, P. (2016). New methodological approach for biomass resource assessment in India using GIS application and land use/land cover (LULC) maps. Renewable and Sustainable Energy Reviews, 63, 256–268. https://doi.org/10.1016/j.rser.2016.05.070
16. Gibril, M. B. A., Bakar, S. A., Yao, K., Idrees, M. O., & Pradhan, B. (2017). Fusion of RADARSAT-2 and multispectral optical remote sensing data for LULC extraction in a tropical agricultural area. Geocarto International, 32(7), 735–748. https://doi.org/10.1080/10106049.2016.1170893
17. Li, H., Wang, C., Zhong, C., Zhang, Z., & Liu, Q. (2017). Mapping typical urban LULC from Landsat imagery without training samples or self-defined parameters. Remote Sensing, 9(7), 1–23. https://doi.org/10.3390/rs9070700
18. Prasad, N., & Das, T. (2019). Impact of land use and land cover on aquatic macrophyte community composition in small streams: A case study from cachar district of assam in northeast India. Indian Journal of Ecology, 46(2), 363–370.
19. Whyte, A., Ferentinos, K. P., & Petropoulos, G. P. (2018). A new synergistic approach for monitoring wetlands using Sentinels -1 and 2 data with object-based machine learning algorithms. Environmental Modelling and Software, 104, 40–54. https://doi.org/10.1016/j.envsoft.2018.01.023
20. Tolentino, F. M., & de Lourdes Bueno Trindade Galo, M. (2021). Selecting features for LULC simultaneous classification of ambiguous classes by artificial neural network. Remote Sensing Applications: Society and Environment, 24(May), 100616. https://doi.org/10.1016/j.rsase.2021.100616
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Toplam 63 adet kaynakça vardır.

Ayrıntılar

Birincil Dil	İngilizce
Konular	Arazi Yönetimi, Coğrafi Bilgi Sistemleri ve Mekansal Veri Modelleme, Planlamada Coğrafi Bilgi Sistemleri (CBS)
Bölüm	Research Article
Yazarlar	Avijit Bag 0009-0001-6491-9679 Arabinda Sharma 0000-0001-6402-0949 Sudhakar Pal 0009-0003-2226-1412
Erken Görünüm Tarihi	17 Kasım 2024
Yayımlanma Tarihi	31 Ekim 2024
Gönderilme Tarihi	13 Mart 2024
Kabul Tarihi	23 Nisan 2024
Yayımlandığı Sayı	Yıl 2024 Cilt: 9 Sayı: 3

Kaynak Göster

APA	Bag, A., Sharma, A., & Pal, S. (2024). Studying urbanization pattern in Sambalpur City during 1992-2042 using CA-ANN, and Markov-Chain model. International Journal of Engineering and Geosciences, 9(3), 356-367. https://doi.org/10.26833/ijeg.1452005
AMA	Bag A, Sharma A, Pal S. Studying urbanization pattern in Sambalpur City during 1992-2042 using CA-ANN, and Markov-Chain model. IJEG. Ekim 2024;9(3):356-367. doi:10.26833/ijeg.1452005
Chicago	Bag, Avijit, Arabinda Sharma, ve Sudhakar Pal. “Studying Urbanization Pattern in Sambalpur City During 1992-2042 Using CA-ANN, and Markov-Chain Model”. International Journal of Engineering and Geosciences 9, sy. 3 (Ekim 2024): 356-67. https://doi.org/10.26833/ijeg.1452005.
EndNote	Bag A, Sharma A, Pal S (01 Ekim 2024) Studying urbanization pattern in Sambalpur City during 1992-2042 using CA-ANN, and Markov-Chain model. International Journal of Engineering and Geosciences 9 3 356–367.
IEEE	A. Bag, A. Sharma, ve S. Pal, “Studying urbanization pattern in Sambalpur City during 1992-2042 using CA-ANN, and Markov-Chain model”, IJEG, c. 9, sy. 3, ss. 356–367, 2024, doi: 10.26833/ijeg.1452005.
ISNAD	Bag, Avijit vd. “Studying Urbanization Pattern in Sambalpur City During 1992-2042 Using CA-ANN, and Markov-Chain Model”. International Journal of Engineering and Geosciences 9/3 (Ekim 2024), 356-367. https://doi.org/10.26833/ijeg.1452005.
JAMA	Bag A, Sharma A, Pal S. Studying urbanization pattern in Sambalpur City during 1992-2042 using CA-ANN, and Markov-Chain model. IJEG. 2024;9:356–367.
MLA	Bag, Avijit vd. “Studying Urbanization Pattern in Sambalpur City During 1992-2042 Using CA-ANN, and Markov-Chain Model”. International Journal of Engineering and Geosciences, c. 9, sy. 3, 2024, ss. 356-67, doi:10.26833/ijeg.1452005.
Vancouver	Bag A, Sharma A, Pal S. Studying urbanization pattern in Sambalpur City during 1992-2042 using CA-ANN, and Markov-Chain model. IJEG. 2024;9(3):356-67.

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