Subscribe to our Newsletter and get informed about new publication regulary and special discounts for subscribers!

SGG > SGG Volume 1 > Application of Geospatial Technology for Wetlands’...
< Back to Volume

Application of Geospatial Technology for Wetlands’ Mapping and Change-Detection: A Case Study in Selected Areas of South Eastern Coast in Ampara District, Sri Lanka

Full Text PDF


In global context, the anthropogenic pressure increases the loss of wetland and its resources. Wetlands and estuaries are highly productive and act as critical habitats for a variety of plants, fish, shellfish, and other wildlife (Klemas, 2011). The detection and evaluation of the wetland with modern technology is an important phenomenon to conserve the wetland area and its ecosystem. Remote sensing (RS) has a long history of successful applications within the field of wetland delineation, using a multitude of satellite platforms and sensors (Allan, 2016). This paper is an attempt to object-based approach to derive the change detection inventory information of wetland for selected administrative areas of South Eastern coast in Ampara District within the period of 1991 to 2017 using Toposheets and Google Earth imagery. Further, it also explores the human activities which pressure on wetland including agricultural practices (land encroachment), new settlements, solid waste dumping, land cover changes and etc. Google Earth imagery of 1991 and 2017 were collected and subjected to the GIS analysis to find the result of this study. According to the results, agricultural and built-up area has increased in 1991 by (9.4 per cent), 2017 (16.4 per cent) and 1991 (0.1 per cent), 2017 (2.1 per cent) respectively whereas there has been a decrease in the forest and wetland areas in the years of 1991 (80.3 per cent), 2017 (72.7 per cent) and 1991 (3.5 per cent), 2017 (2.9 per cent) respectively.


Sustainable Geoscience and Geotourism (Volume 1)
I. L. M. Zahir and K. Nijamir, "Application of Geospatial Technology for Wetlands’ Mapping and Change-Detection: A Case Study in Selected Areas of South Eastern Coast in Ampara District, Sri Lanka", Sustainable Geoscience and Geotourism, Vol. 1, pp. 25-32, 2018
Online since:
June 2018

[1] A.G. Ausseil et al., Wetland ecosystem of national importance for biodiversity: criteria, methods and candidate list of nationally important inland wetlands, Landcare Research Contract Report, (2008).

[2] A.T. Yaw, C.M. Edmund, Using remote sensing and GIS in the analysis of ecosystem decline along the river Niger Basin: the case of Mali and Niger, International Journal of Environmental Research and Public Health. 4(2) (2007) 173-184.

[3] B.I. Cook, R.L. Miller, R. Seager, Amplification of the North American Dust Bowl, drought through human induced land degradation, Proc. Natl. Acad. Sci. 106(13) (2009) 4997-5001.

[4] B. Bezabih, T. Mosissa, Review on distribution, importance, threats and consequences of wetland degradation in Ethiopia, International Journal of Water Resources and Environmental Engineering. 9(3) (2017) 64-71.

[5] C. Marcelo, L. Cohen, J.L. Rubén, Temporal changes of mangrove vegetation boundaries in Amazônia: application of GIS and remote sensing techniques, International Journal of Remote Sensing. 11(4) (2003) 223-231.

[6] F. Hui et al., Modeling spatial-temporal change of Poyang Lake using multitemporal Landsat imagery, International Journal of Remote Sensing. 29(20) (2008) 5767-5784.

[7] F.V. Eppink, J.C.M van den Bergh, P. Rietveld, Modelling biodiversity and land use: urban growth, agriculture and nature in a wetland area, Ecological Economics. 51 (2004) 201–216.

[8] J.R. Jensen, Inland wetland change detection in the Everglades Water Conservation Area 2A using a time series of normalized remotely sensed data, Photogrammetric Engineering and Remote Sensing. 61(2) (1995) 199-209.

[9] K. Nijamir, Socio-economic impact of wetland: a study based on Navithanveli DS Division, World News of Natural Science. 14 (2017) 116-123.

[10] L.M. Kiage et al., Recent land cover/use change associated with land degradation in the Lake Baringo catchment, Kenya, East Africa: evidence from Landsat TM and ETM+, International Journal of Remote Sensing. 28(19) (2007) 4285-4309.

[11] L. Zhanga et al., A review of published wetland research, 1991–2008: Ecological engineering and Ecosystem restoration, Ecological Engineering. 36(8) (2010) 973-980.

[12] M. Allan, Remote sensing of Waikato wetlands; a literature review, Environmental Research Institute, University of Waikato, Hamilton, (2016).

[13] M.M.X. Wang, F. Veroustraete, L. Dong, Change in area of Ebinur Lake during the1998-2005 period, International Journal of Remote Sensing. 28(24) (2007) 5523-5533.

[14] M.I.M. Kaleel, Challenges of population growth on agricultural land in South Eastern coastal areas of Ampara District in Sri Lanka, Sustainable Food Production. 1 (2018) 30-36.

[15] M.I.M. Kaleel, The impact on wetlands: a study based on selected areas in Ampara District of Sri Lanka, World News of Natural Sciences. 7 (2017) 2543-5426.

[16] T. Hartig et al., Tracking restoration in natural and urban field settings, Journal of Environmental Psychology. 23 (2003) 109.

[17] U.S. EPA. Methods for evaluating wetland condition: study design for monitoring wetlands. Office of Water, U.S. Environmental Protection Agency, Washington, (2002).

[18] V. Klemas, Remote sensing of wetlands: case studies comparing practical techniques, Journal of Coastal Research. 27(3) (2011) 418–427.

[19] X. Yang, C.P. Lo, Using a time series of satellite imagery to detect land use and land cover changes in the Atlanta, Georgia metropolitan area, International Journal of Remote Sensing. 18 (2002) 3883-3888.

[20] Z.K. Ndirima, Mapping and monitoring wetland vegetation used by wattled cranes using remote sensing: case of Kafue flats, Zambia, MSc Thesis, International Institute for Geo-information Science and Earth Observation, (2007).

Show More Hide
Cited By:
This article has no citations.