Abstract
Urbanization and industrialization are responsible for a variety of environmental issues like air pollution, increased runoff and subsequent flooding, increase in temperature, and deterioration of water quality. It is evident that for environment management and decision-making process especially in climate impact analysis, the study of land use/land cover (LULC) plays a vital role. The aim of this study is analyzing the climate change response due to land use/land cover (LULC) changes in the eastern India’s Brahmani River Basin that experienced a fast increase in industrialization and deforestation in the recent decades. Herein, the Landsat satellite images were collected from the United States Geological Survey (USGS) from year 1975 to 2018 and processed in ERDAS Imagine software. The whole LULC mapping involves (1) geo-referencing, (2) mosaicking, (3) sub-setting on the basis of Area of Interest (AOI), (4) development of signature files, and (5) classification. The supervised classification method is followed herein to classify the study area with delineated classes such as water bodies, sand, barren/crop land, forest area, and built-up area. The study reveals that the major land cover in the study area is dense forest which decreases from 71.70% to 14.85% from year 1975 to 2018. The second major category of land is barren/crop land, which was increased by 30% due to development in agricultural technology, irrigation facilities. The third category of land cover is built-up area which increases by 32.73% from year 1975 to 2018 due to man-made activities. The sand comes under the fourth category which has slightly increased 6.57% to 7.05%. The least area covered by water bodies which is the fifth category of land cover was 0.33% in the year 1975 which increased to 1.65% in the year 1999 due to the construction of Rengali Dam and Samal Barrage but subsequently decreased to 0.87% in 2018. Hence, it is verified that the industrialization and development activities cause heavy deforestation in the catchment. It is also proved that the remote sensing satellite data can be efficiently used for the spatio-temporal changes in LULC in real time.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Babar, S., & Ramesh, H. (2015). Streamflow response to land use-land cover change over the Nethravathi River Basin, India. Journal of Hydrologic Engineering, 20(10), 05015002.
Chanapathi, T., & Thatikonda, S. (2020). Investigating the impact of climate and land-use land cover changes on hydrological predictions over the Krishna river basin under present and future scenarios. Science of the Total Environment, 721, 137736.
Comber, A., Fisher, P., & Wadsworth, R. (2005). What is land cover? Environment and Planning B: Planning and Design, 32(2), 199–209.
Costa, M. H., & Pires, G. F. (2010). Effects of Amazon and Central Brazil deforestation scenarios on the duration of the dry season in the arc of deforestation. International Journal of Climatology, 30, 1970–1979.
Das, P., Behera, M. D., Patidar, N., Sahoo, B., Tripathi, P., Behera, P. R., et al. (2018). Impact of LULC change on the runoff, base flow and evapotranspiration dynamics in eastern Indian river basins during 1985–2005 using variable infiltration capacity approach. Journal of Earth System Science, 127(2), 1–19.
Garg, V., Aggarwal, S. P., Gupta, P. K., Nikam, B. R., Thakur, P. K., Srivastav, S. K., & Kumar, A. S. (2017). Assessment of land use land cover change impact on hydrological regime of a basin. Environmental Earth Sciences, 76(18), 1–17.
Ge, J. (2010). MODIS observed impacts of intensive agriculture on surface temperature in the southern Great Plains. International Journal of Climatology, 30, 1994–2003.
Hengade, N., & Eldho, T. I. (2016). Assessment of LULC and climate change on the hydrology of Ashti Catchment, India using VIC model. Journal of Earth System Science, 125(8), 1623–1634.
Hord, R. M. (1982). Digital image processing of remotely sensed data. Elsevier.
Khan, M., Sharma, A., & Goyal, M. K. (2019). Assessment of future water provisioning and sediment load under climate and LULC change scenarios in a peninsular river basin, India. Hydrological Sciences Journal, 64(4), 405–419.
Kishtawal, C. M., Niyogi, D., Tewari, M., Pielke, R. A., Sr., & Shepherd, J. M. (2010). Urbanization signature in the observed heavy rainfall climatology over India. International Journal of Climatology, 30, 1908–1916.
Kumar, N., Singh, S. K., Singh, V. G., & Dzwairo, B. (2018). Investigation of impacts of land use/land cover change on water availability of Tons River Basin, Madhya Pradesh, India. Modeling Earth Systems and Environment, 4(1), 295–310.
Lawrence, P. J., & Chase, T. N. (2010). Investigating the climate impacts of global land cover change in the Community Climate System Model (CCSM). International Journal of Climatology, 30, 2066–2087.
National Research Council. (2005). Population, land use, and environment: Research directions. National Academies Press.
Nilawar, A. P., & Waikar, M. L. (2019). Impacts of climate change on streamflow and sediment concentration under RCP 4.5 and 8.5: A case study in Purna river basin, India. Science of the Total Environment, 650, 2685–2696.
Petchprayoon, P., Blanken, P. D., & Ekkawatpanit, C. (2010). Hydrological impacts of land use/land cover change in a large river basin in central-northern Thailand. International Journal of Climatology, 30, 1917–1930.
Sertel, E., Robock, A., & Ormeci, C. (2010). Impacts of land cover data quality on regional climate simulations. International Journal of Climatology, 30, 1942–1953.
Sinha, R. K., & Eldho, T. I. (2018). Effects of historical and projected land use/cover change on runoff and sediment yield in the Netravati river basin, Western Ghats, India. Environmental Earth Sciences, 77(3), 1–19.
Sinha, R. K., Eldho, T. I., & Subimal, G. (2020a). Assessing the impacts of land use/land cover and climate change on surface runoff of a humid tropical river basin in Western Ghats, India. International Journal of River Basin Management, 1–12.
Sinha, R. K., Eldho, T. I., & Subimal, G. (2020b). Assessing the impacts of land cover and climate on runoff and sediment yield of a river basin. Hydrological Sciences Journal, 65(12), 2097–2115.
Strengers, B., Müller, C., Schaeffer, M., Haarsma, R., Severijns, C., Gerten, D., Schaphoff, S., van den Houdt, R., & Oostenrijk, R. (2010). Assessing 20th century climate–vegetation feedbacks of land-use change and natural vegetation dynamics in a fully coupled vegetation–climate model. International Journal of Climatology, 30, 2055–2065.
Swain, R., & Sahoo, B. (2015). Variable parameter McCarthy-Muskingum flow transport model for compound channels accounting for distributed non-uniform lateral flow. Journal of Hydrology, 530, 698–715. https://doi.org/10.1016/j.jhydrol.2015.10.030
Swain, R., & Sahoo, B. (2017a). Mapping of heavy metal pollution in river water at daily time-scale using spatio-temporal fusion of MODIS-Aqua and Landsat satellite imageries. Journal of Environment Management, 192, 1–14. https://doi.org/10.1016/j.jenvman.2017.01.034
Swain, R., & Sahoo, B. (2017b). Improving river water quality monitoring using satellite data products and a genetic algorithm processing approach. Sustainability of Water Quality and Ecology, 9–10, 88–114. https://doi.org/10.1016/j.swaqe.2017.09.001
Swain, R., Sahoo, B., & Perumal, M. (2018). An embedded VPMM-AD model for riverine transient flow and non-reactive contaminant transports. Journal of Hydrology, 563(2018), 711–725. https://doi.org/10.1016/j.jhydrol.2018.06.025
Takahashi, H. G., Yoshikane, T., Hara, M., Takata, K., & Yasunari, T. (2010). High-resolution modelling of the potential impact of land-surface conditions on regional climate over Indochina associated with the diurnal precipitation cycle. International Journal of Climatology, 30, 2004–2020.
Tokairin, T., Sofyan, A., & Kitada, T. (2010). Effect of land use changes on local meteorological conditions in Jakarta, Indonesia: Toward the evaluation of the thermal environment of mega cities in Asia. International Journal of Climatology, 30, 1931–1941.
Townshend, J. R. (1992). Improved global data for land applications. A proposal for a new high-resolution data set. Report of the Land Cover Working Group of IGBP-DIS. Global Change Report (Sweden).
Xiao, C., Yu, R., & Fu, Y. (2010). Precipitation characteristics in the Three Gorges Dam vicinity. International Journal of Climatology, 30, 2021–2024.
Acknowledgments
The authors would like to thank the USGS research team for allowing us to download the surface reflectance products of Landsat from their website http://www.earthexplorer.usgs.gov.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Swain, R. (2022). Impact of Land Use/Land Cover Changes on Climate Change Parameters. In: Shit, P.K., Pourghasemi, H.R., Bhunia, G.S., Das, P., Narsimha, A. (eds) Geospatial Technology for Environmental Hazards. Advances in Geographic Information Science. Springer, Cham. https://doi.org/10.1007/978-3-030-75197-5_9
Download citation
DOI: https://doi.org/10.1007/978-3-030-75197-5_9
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-75196-8
Online ISBN: 978-3-030-75197-5
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)