Spatio-Temporal Detection of Land Use/Land Cover Changes in Kokrajhar District of Assam

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Jeshmi Machahry

Abstract

The use of multi-temporal satellite images in digital change detection algorithms aids in the comprehension of landscape dynamics. The present study illustrates the spatio-temporal dynamics of land use/land cover of Kokrajhar district of Assam, India. Landsat Satellite imageries of four different time periods. i.e., Landsat Thematic Mapper (TM) of 1991, 2001, 2011 and 2021 were acquired from Google Earth Explorer site and quantify the changes of Kokrajhar district from 1991 to 2021 over a period of 30 years. Supervised classification methodology has been employed using maximum likelihood technique in ArcMap 10.8 Software. The images of the study area were categorised into four different classes namely vegetation, agriculture, built up and water body. The results indicate that during the last three decades, built up have been increased by 3.8% (658.75 km2) while agriculture, vegetation and water body have been decreased by 0.74 (708.9 km2) %, 0.56(1494.46 km2) % and 2.46 (273.5 km2) % respectively.

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[1]
Jeshmi Machahry , Tran., “Spatio-Temporal Detection of Land Use/Land Cover Changes in Kokrajhar District of Assam”, IJITEE, vol. 13, no. 6, pp. 1–8, May 2024, doi: 10.35940/ijitee.F9872.13060524.
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How to Cite

[1]
Jeshmi Machahry , Tran., “Spatio-Temporal Detection of Land Use/Land Cover Changes in Kokrajhar District of Assam”, IJITEE, vol. 13, no. 6, pp. 1–8, May 2024, doi: 10.35940/ijitee.F9872.13060524.
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References

Partha Pratim Gogoi, V. Vinoj, D. Swain, G. Roberts, J. Dash & S. Tripathy, Land use and land cover change effect on surface temperature over Eastern India, Scientific Reports. (2019).

Harshika A. Kaul, Ingle Sopan, Land Use Land Cover Classification and Change Detection Using High, Journal of Environment, 01 (04) (2012) 146-152.

Asnake Yimam Yesuph and Amare Bantider Dagnew, Land use/cover spatiotemporal dynamics driving forces and implications at the Beshill catchment of the Blue Nile Basin, North Eastern Highlands of Ethiopia. (2019).

Jane Ferah Gondwe, Sun Lin and Rodger Millar Munthali, Analysis of Land Use and Land Cover Changes in Urban Areas Using Remote Sensing: Case of Blantyre City, Discrete Dynamics in Nature and Society. (2021) 1-17. https://doi.org/10.1155/2021/8011565

GN Vivekananda, R Swathi and AVLN Sujith, Multi-temporal image analysis for LULC classification and change detection, European Journal of Remote Sensing. (2020) 1-10. https://doi.org/10.1080/22797254.2020.1771215

Tigist Worku, Mulatie Mekonnen, Birru Yitaferu and Artemi Cerdà, Conversion of crop land use to plantation land use, northwest Ethiopia, Trees, Forests and People. (2021). https://doi.org/10.1016/j.tfp.2020.100044

Caixia Rong and Wenxue Fu, A Comprehensive Review of Land Use and Land Cover Change Based on Knowledge Graph and Bibliometric Analyses, Land. (2023) 1-22.

Ankur Dixit, Sandeep Sahany, Balaji Rajagopalan and Sweta Choubey, Role of changing land use and land cover (LULC); on the 2018 megafloods over Kerala, India (2022) 1-14. https://doi.org/10.3354/cr01701

Arshad Amin, Arif Amin and Sudhir Kumar Singh, Study of Urban Land use Dynamics in Srinagar city using Geo-spatial Approach, Bulletin of Environmental and Scientific Research.1(2) (2012) 18-24.

Baseline Survey of Minority Concentrated Districts, District report, Kokrajhar, Omeo Kumar Das Institute of Social Change and Development is an autonomous research institute of the ICSSR, New Delhi and Government of Assam.

Dires Tewabe and Temesgen Fentahun, Assessing land use and land cover change detection using remote sensing in the Lake Tana Basin, Northwest Ethiopia, (2020) 1-11. https://doi.org/10.1080/23311843.2020.1778998

Gebeyehu Abebe, Dodge Getachew and Dodge Ewunetu, Analysing land use/land cover changes and its dynamics using remote, SN Applied Sciences. (2021).

J.S. Rawat, Manish Kumar, Monitoring land use/cover change using remote sensing and GIS techniques: A case study of Hawalbagh block, district Almora, Uttarakhand, India, The Egyptian Journal of Remote Sensing and Space Sciences. 18 (2015) 77-84. https://doi.org/10.1016/j.ejrs.2015.02.002

Kamrul Islam, Mohammed Jashimuddin, Biswajit Nath, Tapan Kumar Nath, Land use classification and change detection by using multi-temporal remotely sensed imagery: The case of Chunati wildlife sanctuary, Bangladesh, The Egyptian Journal of Remote Sensing and Space Sciences. (2017). https://doi.org/10.1016/j.ejrs.2016.12.005

Mehari Mariye, Melesse Maryo and Jianhua Li, The study of land use and land cover (LULC) dynamics and the perception of local people in Aykoleba, Northern Ethiopia, (2021) 283-297 https://doi.org/10.5897/AJEST2021.3022

Muh Dimyati, Kei Mizuno, Shintaro Kobayashi and Teitaro Kitamura, An analysis of land use/cover change using the combination of MSS landsat and land use map—a case study in yogyakarta, indonesia, International Journal of Remote Sensing. 17(5) (1996), 931-944. https://doi.org/10.1080/01431169608949056

Renata Pacheco Quevedo, Andres Velastegui‑Montoya, Nestor Montalvan‑Burbano, Fernando Morante‑Carballo, Oliver Korup, Camilo Daleles Renno, Land use and land cover as a conditioning factor in landslide susceptibility: a literature review, Landslides. (2023) 967-982. https://doi.org/10.1007/s10346-022-02020-4

Seyam, M. M., Haque, M. R., & Rahman, M. M., Identifying the land use land cover (LULC) changes using remote sensing and GIS approach: A case study at Bhaluka in Mymensingh, Bangladesh, Case Studies in Chemical and Environmental Engineering, (2023). https://doi.org/10.1016/j.cscee.2022.100293

Sourav Chetia, Kasturi Borkotoky, Sujata Medhi, Pranab Dutta and Manjil Basumatary, Land use Land Cover Monitoring and Change Detection of Tinsukia, India, International Journal of Innovative Technology and Exploring Engineering (IJITEE). 9(6) (2020). https://doi.org/10.35940/ijitee.F3814.049620

Srishti Gaur and Rajendra Singh, A Comprehensive Review on Land Use/Land Cover (LULC) Change Modeling for Urban Development: Current Status and Future Prospects, Sustainability. 15 (903) (2023) 1-12. https://doi.org/10.3390/su15020903

Zahra Hassan, Rabia Shabbir, Sheikh Saeed Ahmad, Amir Haider Malik, Neelam Aziz, Amna Butt and Summra Erum, Dynamics of land use and land cover change (LULCC) using geospatial techniques: a case study of Islamabad Pakistan, Springer Plus. (2016). https://doi.org/10.1186/s40064-016-2414-z

Abana, E. C., Valdez, M. Z., Salas, J. S., & M. Mateo, A. (2019). Remote Sensing Image-Based Analysis of the Impact of Land Use/Land Cover Changes on Land Surface Temperature. In International Journal of Recent Technology and Engineering (IJRTE) (Vol. 8, Issue 4, pp. 1834–1839). https://doi.org/10.35940/ijrte.c6249.118419

N, M. H., S, M., V, R., V, P., & N, S. (2019). Performance Analysis of Different Classifier for Remote Sensing Application. In International Journal of Engineering and Advanced Technology (Vol. 9, Issue 1, pp. 7153–7158). https://doi.org/10.35940/ijeat.a1879.109119

V E, S., Moorthy, U., Park, J., Shin, C., & Cho*, Y. (2019). Internet Role in Remote Sensing and Geo Informatics System. In International Journal of Innovative Technology and Exploring Engineering (Vol. 9, Issue 2, pp. 57–64). Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP. https://doi.org/10.35940/ijitee.a4859.129219

Ramesh, G. (2021). Importance and Applications of GIS in Engineering. In Indian Journal of Structure Engineering (Vol. 1, Issue 1, pp. 4–8). https://doi.org/10.54105/ijse.b8008.051121

Proença, M. da C. (2022). On the Need of Quick Monitoring for Wildfire Response from City Halls. In Indian Journal of Image Processing and Recognition (Vol. 2, Issue 3, pp. 1–4). https://doi.org/10.54105/ijipr.c1014.042322

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