Assessment of Land Use/Land Cover Change using Geo-informatics in Catchment of Burhi Gandak River, Bihar

Authors

  • Kunal Kumar Department of Soil and Water Engineering, College of Agricultural Engineering, Dr. Rajendra Prasad Central Agricultural University, Pusa, Samastipur, India Author
  • R. K. Sahu Department of Soil and Water Engineering, College of Agricultural Engineering, Dr. Rajendra Prasad Central Agricultural University, Pusa, Samastipur, India Author
  • Shankar Yadav ICAR-Central Agroforestry Research Institute, Jhansi, U. P., India Author

DOI:

https://doi.org/10.52151/jae2020574.1729

Keywords:

Land use/land cover (LULC) change, watershed delineation, catchment

Abstract

Land use/land cover (LULC) information is essential for proper management, planning and monitoring of natural resources of any region. The present study delineated the catchment of a part-length of Burhi Gandak river falling under Samastipur district of Bihar, estimated its area and LULC change over a period of ten years (2008-2018) using Remote Sensing (RS) and Geographic Information System (GIS) techniques. LULC mappings were done by supervised classification technique using GIS. Overall accuracy of image classification processes was 79.07 % and 75 %, whereas Kappa coefficients were found to be 0.71 and 0.68 for the year 2008 and 2018, respectively. Over the 10-year period, the area under agricultural land increased by 3,329 ha (6.51 %), settlement increased by 4,554 ha (58.20 %), and wasteland (barren and sand) increased by 685 ha (34.05 %); while natural vegetation cover reduced by 6,523 ha (33.58 %) and water bodies reduced by 2,045 ha (54.23 %). Hence, a significant portion of land under natural vegetation and water bodies in the catchment had been converted into either agricultural land or settlement (e.g. buildings) during the period. This change might affect the ecosystem of the area.

Author Biographies

  • Kunal Kumar, Department of Soil and Water Engineering, College of Agricultural Engineering, Dr. Rajendra Prasad Central Agricultural University, Pusa, Samastipur, India

    B.Tech. Student

  • R. K. Sahu, Department of Soil and Water Engineering, College of Agricultural Engineering, Dr. Rajendra Prasad Central Agricultural University, Pusa, Samastipur, India

    Assistant Professor

  • Shankar Yadav, ICAR-Central Agroforestry Research Institute, Jhansi, U. P., India

    Senior Research Fellowv

References

Alam A; Bhat M S; Maheen M. 2020. Using Landsat satellite data for assessing the land use and land cover change in Kashmir valley. GeoJournal, 85(6), 1529- 1543.

Ambast S K; Kumari S; Yadav A K; Trivedi I; Prasad B; Sinha U K. 2016. Medicinal plants of Bihar and its neighboring region which needs attention for their conservation. Eur. J. Biomed. Pharm. Sci., 3(4), 544-550.

Ashraf M. 2014. An assessment of land use land cover change pattern in Patna Municipal Corporation over a period of 25 years (1989-2014) using remote sensing and GIS techniques. Int. J. Innovative Res. Sci. Eng. Technol., 3(10), 16782-16791.

Badar B; Romshoo S A; Khan M A. 2013. Modelling catchment hydrological responses in a Himalayan Lake as a function of changing land use and land cover. J. Earth Syst. Sci., 122(2), 433 - 449.

Basha U I; Suresh U; Raju G S; Rajasekhar M; Veeraswamy G; Balaji E. 2018. Land use and land cover analysis using remote sensing and GIS: A case study in Somavathi River, Anantapur district, Andhra Pradesh, India. Nature Environ. Pollut. Technol., 17(3), 1029-1033.

Bera S. 2017. Trend analysis of rainfall in Ganga Basin, India during 1901-2000. Am. J. Clim. Change, 6, 116-131.

Bogoliubova A; Tymków P. 2014. Accuracy assessment of automatic image processing for land cover classification of St. Petersburg protected area. Acta Sci. Pol., 13 (1-2), 5-22.

CGWB. 2013. Ground Water Information Booklet Samastipur District, Bihar State. Central Ground Water Board (CGWB), Ministry of Water Resources (Govt. of India).

Chitade A Z; Tiwari M K. 2008. Evaluation of sediment yield and soil conservation measures using remote sensing and GIS technique. In: Fujita H; Sasaki J (Eds.), Selected Topics in Power Systems and Remote Sensing. 166-170. ISSN:166-170. ISBN: 978-960- 474-233-2.

Desalegn T; Cruz F; Kindu M; Turrión M B; Gonzalo J. 2014. Land-use/land-cover (LULC) change and socioeconomic conditions of local community in the central highlands of Ethiopia. Int. J. Sustainable Dev. World Ecol., 21(5), 406-413.

Dlamini N; Mabaso S. 2011. Effect of infrastructural development on land use and cover of urban areas in Swaziland; Case of Mbabane city. J. Sustainable Dev. Afr, 13 (7), 79-95.

El Baroudy A A. 2016. Mapping and evaluating land suitability using a GIS-based model. Catena, 140, 96-104.

Islam K; Jashimuddin M; Nath B; Nath T K. 2018. Land use classification and change detection by using multi-temporal remotely sensed imagery: The case of Chunati wildlife sanctuary, Bangladesh. Egypt. J. Remote Sens. Space Sci., 21, 37–47.

Jaiswal R K; Saxena R; Mukherjee S. 1999. Application of remote sensing technology for land use/land cover change analysis. J. Indian Soc. Remote Sens., 27(2), 123-128.

Jensen J R. 1996. Remote Sensing of the Environment: An Earth Resource Perspective. II Ed., Prentice Hall, New Jersey, 334-339.

Kafi K M; Shafri H Z M; Shariff A B M. 2014. An analysis of LULC change detection using remotely sensed data: A case study of Bauchi city. Earth Environ. Sci., 20, 1-9.

Landis J R; Koch G G. 1977. The measurement of observer agreement for categorical data. Biom., 33 (1), 159–174.

Liu J; Zhang C; Kou L; Zhou Q. 2017. Effects of climate and land use changes on water resources in the Taoer river. Adv. Meteorol., Article ID. 1031854, 5, 1-13.

Mishra A K; Mishra P K. 2018. Spatio-temporal analysis of demographic characteristics: A case study of Samastipur district, India. Am. Res. J. Humanities Social Sci., 4, 1-14.

Nagarajan N; Poongothai S. 2011. Trend in land use land cover change detection by RS and GIS application. Int. J. Eng. Technol., 3(4), 263-269.

Reis S. 2008. Analyzing land use/land cover changes using remote sensing and GIS in Rize, North-East Turkey. Sens. 8, 6188-6202.

Schilling K E; Jha M K; Zhang Y K; Gassman P W; Wolter C F. 2008. Impact of land use and land cover change on the water balance of a large agricultural watershed: Historical effects and future directions. Water Resour. Res., 44, W00A09, doi:10.1029/2007WR006644.

Sharma A K; Joshi V; Parkash S; Krishna A P. 2009. Land use pattern mapping using remote sensing and GIS in Gangtok area, Sikkim Himalaya, India. Geospatial World. https://www.geospatialworld.net/article/land-use-pattern-mapping-using-remote-sensing-and-gis-in-gangtok-area-sikkim-himalaya-india/

Singh S K; Laari P B; Mustak S K; Srivastava P K; Szabó S. 2018. Modelling of land use land cover change using earth observation data-sets of Tons River Basin, Madhya Pradesh, India. Geocarto Int., 33(11), 1202-1222.

Stehman S V. 1996. Estimating the kappa coefficient and its variance under stratified random sampling. Photogramm. Eng. Remote Sens., 62(4), 401-407.

Stehman S V. 1997. Selecting and interpreting measures of thematic classification accuracy. Remote Sens. Environ., 62(1), 77-89.

Sushanth K; Bhardwaj A; Loshali D C; Pateriya B. 2018. Temporal land-use change analysis of patiala-ki-rao watershed in Shivalik foot-hills using remote sensing and GIS. J. Agric. Eng., 55(4), 57-65.

Titeux N; Henle K; Mihoub J B; Regos A; Geijzendorffer I R; Cramer W; Verburg P H; Brotons L. 2016. Biodiversity scenarios neglect future land-use changes. Global Change Biol., 22(7), 2505-2515.

Uniyal D; Dhaundiyal V K; Kimothi M M. 2014 Change detection of different natural resources for Udham Singh Nagar district of Uttarakhand state during last 24 years by using remote sensing and GIS technique. Int. Innovative Res. Dev., 3(11), 261-264.

Vishwakarma C A; Thakur S; Rai P K; Kamal V; Mukherjee S. 2016. Changing land trajectories: A case study from India using a remote sensing-based approach. Eur. J. Geogr.,7(2), 61-71.

Published

2020-12-31

Issue

Section

Regular Issue

How to Cite

Kunal Kumar, R. K. Sahu, & Shankar Yadav. (2020). Assessment of Land Use/Land Cover Change using Geo-informatics in Catchment of Burhi Gandak River, Bihar. Journal of Agricultural Engineering (India), 57(4), 377-385. https://doi.org/10.52151/jae2020574.1729