Abstract
Natural resources on the earth are being continuously stressed to meet the demands of increasing population. The increasing population requires enhanced production of food, energy, and water. To ensure reasonable civic amenities for quality life, there is need for the development of more infrastructure, more areas under habitation, and enhanced per capita expenditure. Land resources, being finite, need to be prudently used to meet the ever-increasing demand. This requires the study of land use/land cover (LU/LC) and its monitoring to understand the changing dynamics and optimal utilization of the resources. Geoinformation technologies are helpful to a great extent for not only creation of baseline information but also to monitor such changes. The present study has been carried out for Hisar district of Haryana state, India, over a period of 10 years to understand the change in the land use/land cover pattern. The district has a total geographical area of 4174.52 sq. km. Digital image processing with selected ground truth has been carried out for generating the information from satellite data. IRS/LANDSAT data have been used for the purpose. This information has been analyzed in the light of various land resources constraints by taking collateral information on soil types, groundwater quality, and depth along with geomorphological constraints. This information has been used for suggesting land resources development plan for the region which will ensure optimum and prudent use of land resources.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Anderson, J. R. (1971). Land use classification schemes used in selected recent geographic applications of remote sensing. PE and RS, 37(4), 379–387.
Anderson, J. R., Hardy, E. E., Roach, J. T., & Witmer, R. E. (1976). A land use and land cover classification system for use with remote sensor data. Geological Survey Professional Paper, U. S. Govt. Printing Office, Washington, 964.
Arya, V. S., Sultan, S., Chaudhary, B. S., Kumar, A., & Toleti, B. V. M. R. (1999). Mapping of soil and water resources of Mewat area: Problems and their management using remote sensing techniques. Technical Report, HARSAC/TR/ 25/99.
Bisht, P., Kumar, P., Yadav, M., Ravat, J. S., Sharma, M. P., & Hooda, R. S. (2014). Spatial dynamics for relative contribution of cropping pattern analysis on environment by integrating remote sensing and GIS. International Journal of Plant Production, 4(3), 299–304.
Chaudhary, B. S. (2003). Integrated land and water resources Management in Southern Part of Haryana using remote sensing and geographical information (GIS). PhD thesis. Unpublished, University of Rajasthan, Jaipur.
Chaudhary, B. S., & Kumar, S. (2017). Use of RS and GIS for land use/land cover mapping of K-J watershed, India. International Journal of Advances in Remote Sensing and GIS, 5, 85–92.
Chaudhary, B. S., Saroha, G. P., & Yadav, M. (2008). Human induced land use/ land cover changes in northern part of Gurgaon District, Haryana, India: Natural resources census concept. Journal of Human Ecology, 23(3), 243–252.
Clevers, J. G. P. W., Muecher, C. A., Popov, V. P. Vandysheva, N. M., & Vassilenko, G. I. (1999). Agriculture land cover monitoring over Russia using remote sensing. EARSeL Symposium ITC, Enschede, the Netherlands. A. A. Balkema, Publishers Rotterdam, p. 18.
Dhawan, V. (2017). Water and agriculture in India: Background paper for the South Asia expert panel during the global forum for food and agriculture. German Bundestag: Federal Ministry of Food and Agriculture.
Falcucci, A., Maiorano, L., & Boitani, L. (2007). Changes in land-use/land-cover patterns in Italy and their implications for biodiversity conservation. Landscape Ecology, 22(4), 617–631.
Gupta, S., & Roy, M. (2012). Land use/land cover classification of an urban area – A case study of Burdwan Municipality, India. International Journal of Geomatics and Geosciences, 2 (IV), 1014–1026.
Hooda, R. S., Manchanda, M. L., & Sharma, J. R. (1992). Digital analysis of IRS – 1A LISS I data for land use/ land cover mapping in Haryana state. In R. L. Karale (Ed.), NNRMS – A new perspective. Bangalore: ISRO-NNRMS.
Hussin, Y. A, & Shaker, S. R. (1995). Monitoring the changes in the tropical forest land use by remote sensing and GIS. World Congress, Tampere/Finland, August, 6 to12, Proceedings IUFRO XX.
Kuemmerle, T., Radeloff, V. C., Perzanowski, K., & Hostert, P. (2006). Cross-border comparison of land cover and landscape pattern in Eastern Europe using a hybrid classification technique. Remote Sensing of Environment, 103, 449–464.
Kumar, S. (2017). Remote Sensing and GIS Based Watershed Studies in Koshalya-Jhajhara Watershed in North India. Shodhganga, Ph.D. Thesis, Kurukshetra University Kurukshetra, Haryana.
Kumar, P., Kumar, D., Mandal, V. P., Pandey, P. C., Rani, M., & Tomar, V. (2012). Settlement risk zone recognition using high resolution satellite data in Jharia coal field, Dhanbad, India. Life Science Journal, 9(1s), 1–6.
Kumar, P., Singh, B., & Rani, M. (2013). An efficient hybrid classification approach for land use / land cover analysis in Semi-Desert area using ETM+ and LISS-III sensor. Sensors Journal, IEEE, 13(6), 2161–2165.
Kumar, P., Pandey, P. C., Kumar, V., Singh, B. K., Tomar, V., & Rani, M. (2014). Efficient recognition of Forest species biodiversity by inventory based geospatial approach using LISS IV. Sensors Journal, IEEE, 13(6), 2161–2165.
Kumar, P., Pandey, P. C., Singh, B. K., Katiyar, S., Mandal, V. P., Rani, M., Tomar, V., & Patairiya, S. (2016). Estimation of accumulated soil organic carbon stock in tropical forest using geospatial strategy. The Egyptian Journal of Remote Sensing and Space Science, 19(1), 109–123.
Kumar, P., Sajjad, H., Tripathy, B. R., Ahmed, R., & Mandal, V. P. (2018a). Prediction of spatial soil organic carbon distribution using sentinel-2A and field inventory data in Sariska Tiger Reserve. Natural Hazards, 90(2), 693–704.
Kumar, P., Sajjad, H., Mohanto, K. K., Ahmed, R., & Mandal, V. P. (2018b). Assessing suitability of Allometric models for predicting stem volume of Anogeissus pendula Edgew in Sariska Tiger Reserve. India Remote Sensing Applications: Society and Environment, 10, 47–55.
Kushwaha, S. P. S., & Oesten, G. (1995). A rule based system for forests land use planning. Photonirvachak, 23(3), 115–125.
Mandal, V. P., Shutrana, S., Pandey, P. C., Patairiya, S., Shamim, M., & Sharma, S. (2014). Appraisal of suitability for urban planning and expansion analysis using quick bird satellite data. ARPN Journal of Engineering and Applied Sciences, 9(12), 2716–2722.
Meyfroidt, P., & Lambin, E. F. (2008). The causes of the reforestation in Vietnam. Land Use Policy, 25, 182–197.
Murthy, C. S., Singh, J., Kumar, P., & Sai, M. V. R. S. (2017). A composite index for drought hazard assessment using CPC rainfall time series data. International Journal of Environmental Science and Technology, 14(9), 1981–1988.
Narumalani, S., Mishra, D. R., & Rothwell, R. G. (2004). Change detection and landscape metrics for inferring anthropogenic processes in the greater EFMO area. Remote Sensing of Environment, 91, 478–489.
Pandey, P. C., Kumar, P., Tomar, V., Rani, M., Katiyar, S., & Nathawat, M. S. (2015). Modelling spatial variation of fluoride pollutant using geospatial approach in the surrounding environment of an aluminium industries. Environmental Earth Sciences, 1–12.
Ram, B., & Singh, S. (1995). Remote sensing in sustainable land use planning. National Symposium on Remote Sensing of Environment at Punjab Remote sensing Application Centre in PAU, Ludhiana, pp. 189–195.
Rani, R. (2017). Groundwater studies in Hisar district of Haryana using Geoinformatics and Geophysical Resistivity Techniques. Shodhganga, PhD thesis, Kurukshetra University Kurukshetra, Haryana.
Rani, M., Kumar, P., Yadav, M., & Hooda, R. S. (2011). Wetland assessment and monitoring using image processing techniques: A case study of Ranchi, India. Journal of Geographic Information System, 3, 345–350.
Rani, M., Kumar, P., Pandey, P. C., Srivastava, P. K., Chaudhary, B. S., Tomar, V., & Mandal, V. P. (2018). Multi-temporal NDVI and surface temperature analysis for urban heat Island inbuilt surrounding of sub-humid region: A case study of two geographical regions. Remote Sensing Applications: Society and Environment, 10, 163–172.
Reid, R. S., Kruska, R. L., Muthui, N., Taye, A., Wotton, S., Wilson, C. J., & Mulatu, W. (2000). Land-use and land-cover dynamics in response to changes in climatic, biological and socio-political forces: The case of southwestern Ethiopia. Landscape Ecology, 15, 339–355.
Sharma, M. P., Yadav, M., Yadav, K., Prawasi, R., Kumar, P., & Hooda, R. S. (2011). Cropping system analysis using remote sensing & GIS: A block level study of Kurukshetra District. Journal of Agricultural and Biological Science, 6(10), 45–61.
Toleti, B.V.M. R. (1995). A study on impact of coal mining on land use and land cover in Jharia Coalfield (Dhanbad) India through remote sensing technique. PhD thesis (Unpublished), Indian School of Mines, Dhanbad, India.
Turner, B., Meyer, W. B., & Skole, D. L. (1994). Global land-use/land-cover change: Towards an integrated study. Ambio Stockholm, 23(1), 91–95.
Watson, R. T., Noble, I. R., Bolin, B., Ravindranath, N. H., Verardo, D. J., & Dokken, D. J. (2000). Land use, land-use change and forestry: A special report of the intergovernmental panel on climate change. Cambridge University Press.
Xiubin, L., (1996). A review of the international researches on land use/land cover change. Acta Geographica Sinica, 6.
Yadav, M., Sharma, M. P., Prawasi, P., Khichi, R., Kumar, P., Mandal, V. P., Salim, A., & Hooda, R. S. (2014). Estimation of wheat/rice residue burning areas in major districts of Haryana, India, using remote sensing data. Journal of the Indian Society of Remote Sensing, 42(2), 343–352.
Yang, X., & Liu, Z. H. I. (2005). Quantifying landscape pattern and its change in an estuarine watershed using satellite imagery and landscape metrics. International Journal of Remote Sensing, 26, 5297–5323.
Yonas, B., Beyene, F., Negatu, L., & Angassa, A. (2013). Influence of resettlement on pastoral land use and local livelihoods in Southwest Ethiopia. Tropical and Subtropical Agroecosystems, 16, 103–117.
Acknowledgements
The authors are thankful to University Grant Commission, New Delhi, for the funding provided under Major Research Project wide reference F. No. 41-883/ 2012 (SR).
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Chaudhary, B.S., Rani, R., Kumar, S., Sundriyal, Y.P., Kumar, P. (2021). Analysis of Land Use/Land Cover Mapping for Sustainable Land Resources Development of Hisar District, Haryana, India. In: Kumar, P., Sajjad, H., Chaudhary, B.S., Rawat, J.S., Rani, M. (eds) Remote Sensing and GIScience . Springer, Cham. https://doi.org/10.1007/978-3-030-55092-9_9
Download citation
DOI: https://doi.org/10.1007/978-3-030-55092-9_9
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-55091-2
Online ISBN: 978-3-030-55092-9
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)