Land Use/Land Cover Change Detection using Remote Sensing and GIS based Techniques for Solani River Basin, Uttarakhand

Ashish Aggarwal*, Rishabh**, Ekta Singh***
*-*** Department of Petroleum & Earth Sciences, University of Petroleum & Energy Studies (UPES), Energy Acres Building, Bidholi, Dehradun, Uttarakhand, India.
Periodicity:September - November'2022
DOI : https://doi.org/10.26634/jce.12.4.19070

Abstract

Land Use/Land Cover (LU/LC) change detection was performed in the Solani river watershed area using multi-temporal remote sensing images (Landsat 8 ETM+ image of year 2014 and Landsat 8 Operational Land Imager/Thermal Infrared Sensor (OLI/TIRS) image of year 2021). Image classification and change detection were carried out for both images using Arc Geographic Information System (GIS) 10.1 and Earth Resources Data Analysis System (ERDAS) Imagine 2016 software. High-resolution Google Earth imagery and Land Remote-Sensing Satellite (LANDSAT) images were used for the accuracy assessment of the classification. The results showed major increments of agricultural fallow land and build-up land of 25.19% and 20.69%, respectively, with the highest decrease in forest cover of 29.27%. Also, to analyze the impact of varying spatial resolution on the Topographic Wetness Index (TWI), two digital elevation models (DEMs) of different spatial resolutions (SRTM, 90m, and Cartosat, 30 m) were used. The results of the study indicated that the mean TWI value increases with an increase in grid size.

Keywords

LU/LC, Accuracy Assessment, Change Detection, Topographic Wetness Index, DEM, River Basin.

How to Cite this Article?

Aggarwal, A., Rishabh, and Singh, E. (2022). Land Use/Land Cover Change Detection using Remote Sensing and GIS based Techniques for Solani River Basin, Uttarakhand. i-manager’s Journal on Civil Engineering, 12(4), 42-48. https://doi.org/10.26634/jce.12.4.19070

References

[1]. Andualem, T. G., Belay, G., & Guadie, A. (2018). Land use change detection using remote sensing technology. Journal of Earth Science and Climatic Change, 9(10), 1-6. https://doi.org/10.4172/2157-7617.1000496
[2]. Chowdhury, S., Peddle, D. R., Wulder, M. A., Heckbert, S., Shipman, T. C., & Chao, D. K. (2021). Estimation of land-use/land-cover changes associated with energy footprints and other disturbance agents in the upper peace region of Alberta Canada from 1985 to 2015 using landsat data. International Journal of Applied Earth Obser vation and Geoinformation, 94, 102224. https://doi.org/10.1016/j.jag.2020.102224
[3]. Imbernon, J. (1999). Pattern and development of land-use changes in the Kenyan highlands since the 1950s. Agriculture, Ecosystems & Environment, 76(1), 67- 73. https://doi.org/10.1016/S0167-8809(99)00061-4
[4]. Mallupattu, P. K., & Reddy, J. R. S. (2013). Analysis of land use/land cover changes using remote sensing data and GIS at an Urban Area, Tirupati, India. The Scientific World Journal, 2013. https://doi.org/10.1155/2013/268623
[5]. Mamun, S. A., Runa, H. A., Hoque, M. M. M., Sheikh, S., & Arif, R. H. (2018). Assessment of spatio-temporal changes of land use in tangail municipality using GIS. Journal of Environmental Science and Natural Resources, 11(1-2), 245-252. https://doi.org/10.3329/jesnr.v11i1-2.43392
[6]. Patel, S. K., Verma, P., & Singh, G. S. (2019). Agricultural growth and land use land cover change in peri-urban India. Environmental Monitoring and Assessment, 191(9), 1-17. https://doi.org/10.1007/s10661-019-7736-1
[7]. Rawat, J. S., & Kumar, M. (2015). 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 Science, 18(1), 77-84. https://doi.org/10.1016/j.ejrs.2015.02.002
[8]. Saah, D., Johnson, G., Ashmall, B., Tondapu, G., Tenneson, K., Patterson, M., ... & Chishtie, F. (2019). Collect earth: An online tool for systematic reference data collection in land cover and use applications. Environmental Modelling & Software, 118, 166-171. https://doi.org/10.1016/j.envsoft.2019.05.004
[9]. Sörensen, R., Zinko, U., & Seibert, J. (2006). On the calculation of the topographic wetness index: evaluation of different methods based on field observations. Hydrology and Earth System Sciences, 10(1), 101-112. https://doi.org/10.5194/hess-10-101-2006
[10]. Thakur, T. K., Patel, D. K., Bijalwan, A., Dobriyal, M. J., Kumar, A., Thakur, A., ... & Bhat, J. A. (2020). Land use land cover change detection through geospatial analysis in an Indian biosphere reserve. Trees, Forests and People, 2, 100018. https://doi.org/10.1016/j.tfp.2020.100018
[11]. Verma, P., Singh, R., Singh, P., & Raghubanshi, A. S. (2020). Chapter 1 - Urban ecology – current state of research and concepts. In Urban Ecology (pp. 3-16). Elsevier. https://doi.org/10.1016/B978-0-12-820730-7.00001-X
[12]. Weng, Q. (2001). A remote sensing? GIS evaluation of urban expansion and its impact on surface temperature in the Zhujiang Delta, China. International Journal of Remote Sensing, 22(10), 1999-2014. https://doi.org/10.1080/713860788
[13]. Yu, H., Joshi, P. K., Das, K. K., Chauniyal, D. D., Melick, D. R., Yang, X. U. E. F. E. I., & Xu, J. (2007). Land use/cover change and environmental vulnerability analysis in Birahi Ganga sub-watershed of the Garhwal Himalaya, India. Tropical Ecology, 48(2), 241.
If you have access to this article please login to view the article or kindly login to purchase the article

Purchase Instant Access

Single Article

North Americas,UK,
Middle East,Europe
India Rest of world
USD EUR INR USD-ROW
Pdf 35 35 200 20
Online 35 35 200 15
Pdf & Online 35 35 400 25

Options for accessing this content:
  • If you would like institutional access to this content, please recommend the title to your librarian.
    Library Recommendation Form
  • If you already have i-manager's user account: Login above and proceed to purchase the article.
  • New Users: Please register, then proceed to purchase the article.