Cart- Total Item:0
- Total Price:0
Cart
An assessment was made on land use and land cover changes occurred due to anthropogenic activities over a period of two decades in Narmada river basin. The anthropogenic activities are the major driving factors which causes the change in ecosystem and disturbing the environmental stability. The basin boundary was derived using Shuttle Radar Topography Mission – Digital Elevation Model - 90 m data in Indigenous software for Geographic Information System. The shape file of Narmada river basin was laid over the downloaded classified raster images of all the years and then the Area of Interest was extracted. The extracted area for all years was exported and later used for change detection in land use and land cover. It has been found that the major portion of basin is covered with agriculture followed by forests. This study reports with evidence that the deciduous broadleaf forests has decreased and agricultural areas have increased tremendously during the 1985-1995 and 1995-2005. This decrease is attributed to the vast expansion of crop land and increase in built up area. Further, this study provides evidence to the forest managers through which rate of degradation can be effectively reduced and appropriate management strategies can be formulated to bring improve enabling environment for base flow of river Narmada which is not a glacial fed river.
River basin, forest changes, deciduous broadleaf forest, agriculture expansion, land use land cover
Anonymous (2014). Narmada Basin. Government of India, Ministry of Water Resources, New Delhi. http://indiawris.gov.in/downloads/Narmada%20Basin.pdf
Anonymous (2017). India State of Forest Report. Forest Survey of India, Dehradun.
Anonymous (2019). India State of Forest Report. Forest Survey of India, Dehradun.
Bergkamp, G., B. Orlando and L. Burton (2003). Change : Adaptation of Water Resources Management to Climate Change. IUCN, Gland, Switzerland and Cambridge, UK.
Bhaumik, U., M.K. Mukhopadhyay, N.P. Shrivastava, A.P. Sharma and S.N. Singh (2017). A case study of the Narmada river system in India with particular reference to the impact of dams on its ecology and fisheries. Aquatic Ecosystem Health & Management, 20(1-2): 151-159.
Blumenfeld, S., C. Lu, T. Christophersen and D. Coates (2009). Water, Wetlands and Forests-A Review of Ecological, Economic and Policy Linkages. Secretariat of the Convention on Biological Diversity and Secretariat of the Ramsar Convention on Wetlands, Montreal and Gland. CBD Technical Series No. 47.
Calder, I., T. Hofer, S. Vermont and P. Warren (2007). Towards a new understanding of forests and water. Unasylva, 58(229): 3-10.
FAO (Food and Agriculture Organization) (2007). Coping with water scarcity. Challenge of the twenty-first century. UN-Water, FAO.
Geist, H. J. and E.F. Lambin (2002). Proximate causes and underlying driving forces of tropical deforestation. BioScience, 52 (2): 143-150.
Husain, M., D.K. Vishwakarma, J.P. Rathore, A. Rasool, A.A. Parrey, and K. Mahendar (2018). Local people strategies in biodiversity conservation and sustainable development. The Pharma Innovation Journal, 7(1): 444-450.
IPCC (Intergovernmental Panel on Climate Change) (2007). Climate Change 2007: Synthesis Report. Contribution of Working Groups I, II and III to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. [R.K. Ptachauri, R.K and A. Reisinger (eds.)]. IPCC, Geneva, Switzerland.
Kachhwala, T.S. (1985). Temporal monitoring of forest land for change detection and forest cover mapping through satellite remote sensing. In: Proceedings of the 6th Asian Conf. on Remote Sensing, pp. 77-83, Hyderabad.
Kirti, R. and A.G. Koppad (2018). Detection of forest change using remote sensing and Geographic Information System techniques in Mundgod taluka of Uttar Kannada district, Karnataka. Journal of Farm Sciences, 31(4): 476-479.
Longley, P., J. Donnay and M. Barnsley (2001). Remote Sensing and Urban Analysis. Taylor and Francis, London.
Malviya, A., S.K. Diwakar and O.N. Choubey (2010). Chemical assessment of Narmada river water at Hoshangabad city and Nemawar as navel of river in central India. Oriental Journal of Chemistry, 26(1): 319.
Ramachandra, T.V. and S. Bharath (2018). Geoinformatics based valuation of forest landscape dynamics in Central Western Ghats, India. Journal of Remote Sensing & GIS, 7(1): 1-8.
Roy, P.S., P. Meiyappan, P.K. Joshi, M.P. Kale, V.K. Srivastav, S.K. Srivasatava, M.D. Behera, A. Roy, Y. Sharma, R.M. Ramachandran, P. Bhavani, A.K. Jain, and Y.V.N. Krishnamurthy (2016). Decadal Land Use and Land Cover Classifications across India, 1985, 1995, 2005. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ ORNLDAAC/1336
Shaw, A. (2017). Assessing vulnerability of tropical forests to climate change and possible mitigation strategies in Marwahi Central India. http://hdl.handle.net/10603/175722
Singh, A. (2010). Digital change detection techniques using remotely sensed data. International Journal of Remote Sensing, 10(6): 989-1003.
Sreenivasulu, G., N. Jayaraju, K. Kishore and T. Lakshmi Prasad (2014). Land use and land cover analysis using remote sensing and GIS: A case Study in and around Rajampet, Kadapa District, Andhra Pradesh, India. Indian Journal of Scientific Research, 8(1): 123-129.
Turner, B.L., D. Skole, S. Sanderson, G. Fischer, L. Fresco and R. Leemans (1995). Land-Use and Land-Cover Change, Science/Research Plan. IGBP Report No. 35/HDP Report No. 7, Stockholm, Sweden, and Geneva, Switzerland.
Yirsaw, E., W. Wu, X. Shi, H. Temesgen and B. Bekele (2017). Land use/land cover change modeling and the prediction of subsequent changes in ecosystem service values in a coastal area of China, the Su-Xi-Chang region. Sustainability, 9(7): 1204.
