Change Detection of Land Use and Land Cover over a Period of 20 Years in Papua New Guinea
- 1 Department of Surveying and Land Studies, PNG University of Technology, Lae, Papua New Guinea
- 2 Department of Surveying and Land Studies, PNG University of Technology, Lae, Papua New Guinea
Abstract
People have an inherent tenacity to throng coastal regions in pursuit of better living conditions. As such the brisk dynamism of land use/land cover activities in a coastal region becomes obvious. The former keeps changing rapidly due to burgeoning population. A digital change detection analysis is performed with the help of Geographic Information System (GIS) on the Remote Sensing data spanning over last 20 years, complemented by in-situ data and ground truth information. This current research briefly endeavours to find out the nature of change happening in the major three coastal cities of Papua New Guinea (PNG), namely Alotau, capital of Milnebay province; Lae, capital of Morobe province and Port Moresby, capital of Papua New Guinea. Changes in land use and land cover that took place over 20 years have been recorded using Landsat 5 thematic mapper (TM) data of 1992 and Landsat 8 operational land imager (OLI) data. Land use and land cover maps of 1992, and 2013/14, and change detection matrix of 1992-2013/14 are derived. Results show an immensely sprawling urban landscape, evincing about five times growth during 1992 to 2014. At the same time “natural forests” dwindled by 444.96 hectares in Alotau, 6977.25 hectares in Lae and “mangrove” and “grass/shrub land” decreased by 127.78 and 4859.39 hectares respectively around Port Moresby. The above changes owe to ever increasing population pressure, land tenure shift, agriculture and industrial development.
- Jensen, J.R. (1996) Introductory Digital Image Processing: A Remote Sensing Perspective. 2nd Edition, Prentice Hall, Upper Saddle River, New Jersey, 197-279.
- Samanta, S., Pal, B. and Pal, D.K. (2011) Micro Level Thematic Mapping of Land Use/Land Cover Using High Resolution Satellite Data: A Case Study on PNG UNITECH Campus. International Journal of Advances in Science and Technology, 3, 31-38.
- Anderson, J.R. (1971) Land Use Classification Schemes Used in Selected Recent Geographic Applications of Remote Sensing. Photogrammetric Engineering, 37, 379-387.
- Dobson, M.C., Ulaby, F.T., Pierce, L.E., Sharik, T.L., Bergen, K.M., Kellndorfer, J., Kendra, J.R., Li, E., Lin, Y.C., Nashashibi, A., Sarabandi, K.L. and Siqueira, P. (1995) Estimation of Forest Biomass Characteristics in Northern Michigan with SIR-C/X-SAR Data. IEEE Transactions on Geoscience Remote Sensing, 33, 877-894. http://dx.doi.org/10.1109/36.406674
- Jensen, J.R., Cowen, S.N., Althausen, J.D. and Weatherbee, O. (1993a) An Evaluation of Coast Watch Change Detection Protocol in South Carolina. Photogrammetric Engineering & Remote Sensing, 9, 729-748.
- Augenstein, E., Stow, D. and Hope, A. (1991) Evaluation of SPOT HRV-XS Data for Kelp Recourse Inventories. Photogrammetric Engineering & Remote Sensing, 57, 501-509.
- Gong, P. and Howarth, P. (1992) Frequency-Based Contextual Classification and Gray-Level Vector Reduction for Land-Use Identification. Photogrammetric Engineering & Remote Sensing, 59, 423-437.
- Samanta, S., Pal, D.K., Lohar, D. and Pal, B. (2012) Interpolation of Climate Variable and Temperature Modeling. Theoretical and Applied Climatology, 107, 35-45. http://dx.doi.org/10.1007/s00704-011-0455-3
- Richards, J.A. and Jia, X. (2006) Remote Sensing Digital Image Analysis: An Introduction. Springer, Berlin, 207.
- Congalton, R.G. (1991) A Review of Assessing the Accuracy of Classifications of Remotely Sensed Data. Remote Sensing of Environment, 37, 35-46. http://dx.doi.org/10.1016/0034-4257(91)90048-B
- Campbell, J.B. (2002) Introduction to Remote Sensing. 3rd Editions, The Guilford Press, New York.
- Story, M. and Congalton, R.G. (1986) Accuracy Assessment: A User’s Perspective. Photogrammetric Engineering and Remote Sensing, 52, 397-399.
- Congalton, R.G. and Green, K. (1999) Assessing the Accuracy of Remotely Sensed Data: Principles and Practices. Lewis Publishers, Boca Raton.