Spatio-Temporal Analysis of Landuse/Landcover Change of District Pishin Using Satellite Imagery and GIS
- 1 Department of Geography, University of Balochistan, Quetta, Pakistan
- 2 Department of Geography, University of Balochistan, Quetta, Pakistan
- 3 Department of Geography, University of Balochistan, Quetta, Pakistan
- 4 Department of Geography, University of Balochistan, Quetta, Pakistan
Abstract
Detecting change on the face of the globe using GIS (Geographic Information System) aided by remotely sensed imagery is now becoming an indispensable tool in managing the resources of our planet. The present study with the help of GIS and remote sensing (RS) is also a similar attempt in recording and quantifying change in land use and land cover in district Pishin both in spatial and temporal extents. Satellite imagery was acquired from the USGS official website from three LANDSAT satellites. Theses satellites are LANDSAT 5, LANDSAT7 and LANDSAT 8. The data were acquired for the years 1992, 2003 and 2013. Satellite imagery was processed in ArcMap 10.1 and maximum likelihood supervised image classification was applied in reaching the goal of detecting change. The result of the analysis revealed that built-up area was increased by 5.84%; vegetation was increased by 3.89%; water bodies were increased by 0.05% and bare surfaces were decreased by 9.78%. The decrease in the barren surfaces was attributed to the increase in vegetation and built-up area which replaced the barren land in the study area. This paper also shows the significance and potential of digital change detection methods in managing the resources of our environment and keeping an eye on the land use and land cover of our Earth.
- Shoshany, M., Kutiel, P. and Lavee, H. (1996). Monitoring Temporal Vegetation Cover Changes in Mediterranean and Arid Ecosystems Using a Remote Sensing Technique: Case Study of the Judean Mountain and the Judean Desert. Journal of Arid Environments, 33, 9-21. http://dx.doi.org/10.1006/jare.1996.0042
- Liu, J. and Deng, X. (2010) Progress of the Research Methodologies on the Temporal and Spatial Process of LUCC. Chinese Science Bulletin, 55, 1354-1362. http://dx.doi.org/10.1007/s11434-009-0733-y
- Rogan, J. and Chen, D. (2004) Remote Sensing Technology for Mapping and Monitoring Land-Cover and Land-Use Change. Progress in Planning, 61, 301-325. http://dx.doi.org/10.1016/S0305-9006(03)00066-7
- Coppin, P., Jonckheere, I., Nackaerts, K., Muys, B. and Lambin, E. (2004) Review Article Digital Change Detection Methods in Ecosystem Monitoring: A Review. International Journal of Remote Sensing, 25, 1565-1596. http://dx.doi.org/10.1080/0143116031000101675
- Reis, S. (2008) Analysing Land Use/Land Cover Changes Using Remote Sensing and GIS in Rize, North-East Turkey. Sensors, 8, 6188-6202. http://dx.doi.org/10.3390/s8106188
- Gitas, I.Z., Mitri, G.H. and Ventura, G. (2004) Object-Based Image Classification for Burned Area Mapping of Creus Cape, Spain, Using NOAA-AVHRR Imagery. Remote Sensing of Environment, 92, 409-413. http://dx.doi.org/10.1016/j.rse.2004.06.006
- Macleod, R.D. and Congalton, R.G. (1998) A Quantitative Comparison of Change-Detection Algorithms for Monitoring Eelgrass from Remotely Sensed Data. Photogrammetric Engineering and Remote Sensing, 64, 207-216.
- Zhao, Y. (2003) Principles and Methods for Remote Sensing Application and Analysis. Science Press, Beijing, 415-416.
- Friedl, M.A., McIver, D.K., Hodges, J.C., Zhang, X.Y., Muchoney, D., Strahler, A.H. and Baccini, A. (2002) Global Land Cover Mapping from MODIS: Algorithms and Early Results. Remote Sensing of Environment, 83, 287-302. http://dx.doi.org/10.1016/S0034-4257(02)00078-0
- Mengistu, D.A. and Salami, A.T. (2007) Application of Remote Sensing and GIS Inland Use/Land Cover Mapping and Change Detection in a Part of South Western Nigeria. African Journal of Environmental Science and Technology, 1, 99-109.
- Tareen, A.K., Sultan, I.N., Parakulsuksatid, P., Shafi, M., Khan, A., Khan, M.W. and Hussain, S. (2014) Detection of Heavy Metals (Pb, Sb, Al, As) through Atomic Absorption Spectroscopy from Drinking Water of District Pishin, Balochistan, Pakistan. International Journal of Current Microbiology and Applied Sciences, 3, 293-306.