IJEP 42(11): 1382-1391 : Vol. 42 Issue. 11 (November 2022)
Sana Rafi1, Umesh Chandra2, Mary Tahir1, Mohd Zeeshan Alam3 and Chandra Kant Bhardwaj4*
1. Jamia Mililiaa Islamia, Department of Geography, Faculty of Natural Sciences, New Delhi – 110 025, India
2. Uttrakhand Technical University, Department of Civil Engineering, Dehradun, Uttarakhand – 248 007, India
3. Savitribai Phule Pune University, Department of Geoinformatics, Pune, Maharashtra – 411007, India
4. Graphic Era Hill University, Dehradun, Uttarakhand – 248 002, India
Abstract
Wetlands hold an important part of our environment. Wetlands are submerged or water saturated lands. They are productive life supporting systems, which is of vast socio-economic and ecological importance to human beings, acting as a source of irrigation, recharging groundwater, minimizing flood effects to acting as carbon sequestration. Moreover, wetlands also hold an important part in Indian culture as it is associated with many rituals. However, now wetlands are shrinking, most of them are being encroached on and transformed into other land cover classes. Delhi is also facing a similar situation. Thus, an effort has been made in this paper to study the present status and temporal change in wetland situation in Delhi, India. The presently available wetlands have been demarcated using GIS. While temporal change in wetlands in Delhi has been monitored over a period of 19 years (2000-2019) using satellite images. For that remote sensing and digital image processing techniques including various band rationing were applied. The results have also been validated using accuracy assessment.
Keywords
Wetlands, Recreation, Groundwater recharge, Carbon sequestration, Encroachment
References
- Frohn, R.C., et al. 2009. Satellite remote sensing of isolated wetlands using object-oriented classification of Landsat-7 data. Wetlands. 29(3):931.
- Sarkar, P. and T. Das. 2016. Wetland ecosystem services and its valuation with special reference to India- A review. In Biodiversity and environmental conservation (chapter 5). Ed Krishna Upadhaya. Discovery Publishing House Pvt. Ltd., New Delhi. pp 59-76.
- Joshi, P. K., H. Rashid and P.S. Roy. 2002. Landscape dynamics in Hokersar wetland, Jammu and Kashmir- An application of geospatial approach. J. Indian Society Remote Sensing. 30(1):1-5.
- Shah, J. A., A.K. Pandit and G.M. Shah. 2017. Dynamics of physico-chemical limnology of a shallow wetland in Kashmir Himalaya (India). Sustain. Water Resour. Manage., 3(4):465-477.
- Chapman, H.P. and R. Van de Noort. 2001. High-resolution wetland prospection using GPS and GIS: Landscape studies at Sutton Common (South Yorkshire) and Meare village east (Somerset). J. Arch. Sci., 28(4):365-375.
- Verhoeven, J.T. and T. L. Setter. 2010. Agricultural use of wetlands opportunities and limitati-ons. Annals botany. 105(1):155-163.
- Junk, W. J. 2002. Long-term environmental trends and the future of tropical wetlands. Env. conser., 414-435.
- Boyer, T. and S. Polasky. 2004. Valuing urban wetlands: a review of non-market valuation stu-dies. Wetlands. 24(4):744-755.
- Mushtaq, F. and A.C. Pandey. 2014. Assessment of landuse/land cover dynamics vis-a-vis hydrometeorological variability in Wular lake environs Kashmir valley, India using multi-temporal satellite data. Arabian J. Geosci., 7(11):4707-4715.
- Van der Duim, R. and R. Henkens. 2007. Wetlands, poverty reduction and sustainable tourism development, opportunities and constraints. Wetlands International, Wageningen, The Netherlands.
- Chen, Y., et al. 2014. Estimate of flood inundation and retention on wetlands using remote sensing and GIS. Ecohydrol., 7(5):1412-1420.
- Pressey, R. L. and P. Adam. 1995. A review of wetland inventory and classification in Australia. InClassification and inventory of the world’s wetlands. Springer, Dordrecht. pp 81-101.
- Lacaux, J. P., et al. 2007. Classification of ponds from high-spatial resolution remote sensing: Application to Rift valley fever epidemics in Senegal. Remote Sensing Env., 106(1):66-74.
- Shen, L. and C. Li. 2010. Water body extraction from Landsat ETM+ imagery using adaboost algorithm. In 18th International Conference on Geoinfor-matics. IEEE, Beijing, China.