Land cover classification and change detection analysis of rawal watershed using remote sensing data

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Research Paper 01/01/2015
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Land cover classification and change detection analysis of rawal watershed using remote sensing data

Amna Butt, Rabia Shabbir, Sheikh Saeed Ahmad, Neelam Aziz, Mohammad Nawaz, Muhammad Tahir Ali Shah
J. Bio. Env. Sci.6( 1), 236-248, January 2015.
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Abstract

Changes observed in land cover/use parameters determine the hydrological and ecological processes taking place in a watershed. Hence, the present study was focused on analysis of the change detection in Rawal watershed, Islamabad using satellite data for the years 1992 and 2012 respectively. Land cover change was detected by applying a supervised classification-maximum likelihood algorithm. The findings indicated that there were accelerated land transformations among the five delineated land cover classes. Hence, there is a need for proper watershed management plans and conservation strategies to be designed in order to protect the forest, water and soil resources of this watershed.

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Adamo SB, Crews-Meyer KA. 2006. Aridity and desertification: exploring environmental hazards in Jáchal, Argentina. Applied Geography 26(1), 61-85.

Ahmad F. 2013. Land Degradation Pattern Using Geo-Information Technology for Kot Addu, Punjab Province, Pakistan. Global Journal of Human Social Sciences Geography, Geo-Sciences and Environmental 13, 536-542.

Ahmad F. 2012. Detection of change in vegetation cover using Multi-spectral and Multi-temporal information for District Sargodha, Pakistan. Sociedade and Natureza 24, 557-572.

Ahmad SS, Erum S. 2012. Remote Sensing and GIS application in Wetland Change Analysis: Case study of Kallar Kahar. Science, Technology and Development 31, 251-259.

Ali M, Khan SJ, Aslam I, Khan Z. 2008. Simulation of the impacts of land-use change on surface runoff of Lai Nullah Basin in Islamabad, Pakistan. Landscape and Urban Planning 102, 271-279.

Alphan H. 2003. Land use change and urbanization in Adana, Turkey. Land Degradation and Development 14(6), 575–586.

Arfan M. 2008. Spatio-temporal Modeling of Urbanization and its Effects on Periurban Land Use System. M.Sc. Thesis, Department of Plant Sciences, Quaid-e-Azam University, Islamabad.

Ashraf A. 2013. Changing Hydrology of the Himalayan Watershed: Current Perspectives in Contaminant Hydrology and Water Resources Sustainability. Islamabad: Intech.

Ashraf M, Kahlown MA, Ashfaq A. 2007. Impact of small dams on agriculture and groundwater development: A case study from Pakistan. Agricultural Water Management 92, 90-98.

Awasthi KD, Sitaula BK, Singh BR, Bajacharaya RM. 2002. Land-use change in two Nepalese watersheds: GIS and Geomorphometric analysis. Land Degradation and Development 13, 495-513.

Baker C, Lawrence RL, Montagne C, Patten D. 2007. Change Detection of Wetland Ecosystems using Landsat imagery and Change Vector Analysis. Wetlands 27, 610–619.

Batisani N, Yarnal B. 2009. Urban expansion in Centre County, Pennsylvania: spatial dynamics and landscape transformations. Applied Geography 29(2), 235-249.

Bazgeera S, Sharma PK, Maheya RK, Hundala SS, Sood, A. 2008. Assessment of land use changes using remote sensing and GIS and their implications on climatic variability for Balachaur watershed in Punjab, India. Desert 12, 139-147.

Bhandari S. 2010. Urban change monitoring using GIS and remote sensing tools in Kathmandu Valley (Nepal). Available from: http://hdl.handle.net [Accessed 12 February 2013].

Braimoh AK, Vlek PLG. 2004. Land-Cover Change Analyses in the Volta Basin of Ghana. Earth Interactions 8, 1-15.

Chen X, Vierling L, Deering D. 2005. A simple and effective radiometric correction method to improve landscape change detection across sensors and across time. Remote Sensing of Environment 98(1), 63-79.

Chengcheng W, Hongzhi W, Ablat X. 2011. Spatial and temporal changes of lake wetlands in Jianghan Plain after the implementing of ‘thirty-six-word policy. Procedia Environmental Sciences 10, 2574-2580.

Das, T. 2009. Land use/land cover change detection: an object oriented approach. Institute of Geoinformatics, University of Münster.

Dewan AM, Yamaguchi Y. 2009. Land use and land cover change in Greater Dhaka, Bangladesh: using remote sensing to promote sustainable urbanization. Applied Geography 29(3), 390-401.

Food and Agriculture Organization (FAO). 2005. State of the world’s forests- 2005. Food and Agricultural Organization (FAO), Rome: Italy.

Gao J, Liu Y. 2010. Determination of land degradation causes in Tongyu County, Northeast China via land cover change detection. International Journal of Applied Earth Observation and Geoinformation 12(1), 9-16.

Ghumman AR. 2010. Assessment of water quality of Rawal Lake. Environmental Monitoring Assessment 180, 115-126.

Gliessman SR. 2006. The need for Sustainable Food Production Systems. In: Agroecology: The Ecology of Sustainable Food Systems. Second ed. New York: Lewis Publishers.

Hagler Bailly. 2007. Environmental Baseline study of Margala and Margala North Blocks. Islamabad: MOL Pakistan Oil and Gas Company BV.

Han D, Wang R, Wu J, Zhou B, Shi Z, Ding L. 2007. Quantifying land use change in Zhejiang coastal region, China using multi-temporal Landsat TM/ ETM + images. Pedosphere 17, 712-720.

Hardin PJ, Jackson MW, Otterstrom SM. 2007. Mapping, measuring, and modeling urban growth. In: Jensen RR, Gatrell JD, McLean D, eds. Geo-spatial technologies in urban environments: Policy, practice and pixels, 2nd ed. Heidelberg: Springer-Verlag, 141-176.

Harris PM, Ventura SJ. 1995. The integration of geographic data with remotely sensed imagery to improve classification in an urban area. Photogrammetric Engineering and Remote Sensing 61(8), 993-998.

Hartter J, Lucas C, Gaughan, Andrea E, Aranda LL. 2008. Detecting tropical dry forest succession in a shifting cultivation mosaic of the Yucata´n Peninsula, Mexico. Applied Geography 28, 134-149.

Howarth PJ, Wickware GM. 1981. Procedures for change detection using Landsat digital data. International Journal of Remote Sensing 2(3), 277–291.

Hu HB, Liu HY, Hao JF, An J. 2012. Analysis of Land use change characteristics based on Remote sensing and GIS in the Jiuxiang river watershed. International Journal on Smart Sensing and Intelligent Systems 5, 811 – 823.

IUCN(International Union for Conservation of Nature). 2005. Rapid Environmental Appraisal of Developments in and Around Murree Hills. Available from: http://www.iucn.pk [Accessed June 28, 2013].

Iqbal J, Shah MH. 2011. Distribution, correlation and risk assessment of selected metals in urban soils from Islamabad, Pakistan. Journal of Hazardous Materials 192, 887-898.

Jensen JR, Im J. 2007. Remote sensing change detection in urban environments. In: Jensen RR, Gatrell JD, McLean D, eds. Geo-spatial technologies in urban environments: Policy, practice and pixels, 2nd ed. Heidelberg: Springer-Verlag, 7-30.

Jensen JR. 1996. Introductory digital image processing. 3rd ed. Upper Saddle River, NJ: Prentice Hall.

Johnson RD, Kasischke ES. 1998. Change vector analysis: a technique for the multi-temporal monitoring of land cover and condition. International Journal of Remote Sensing 19, 411–426.

Keller A, Sakthivadivel  R,  Seckler  D.  2000. Water scarcity and the role of storage in development. International Water Management Institute 39, 1-20.

Koneff MD, Royle JA. 2004. Modeling wetland change along the United States Atlantic Coast. Ecological Modelling 177, 41-59.

Lea C, Curtis AC. 2010. Thematic accuracy assessment procedures: National Park Service Vegetation Inventory, version 2.0. Natural Resource Report NPS/2010/NRR-2010/204, National Park Service, Fort Collins. USA: Colorado.

Li X, Yeh AGO. 1998. Principal component analysis of stacked multi-temporal images for the monitoring of rapid urban expansion in the Pearl River Delta. International Journal of Remote Sensing 19, 1501– 1518.

Lu D, Mausel P, Brondízio E, Moran E. 2004. Change detection techniques. International Journal of Remote Sensing 25, 2365-2407.

Lu Q, Weng D. 2005. Urban classification using full spectral information of Landsat ETMþ imagery in Marion County, Indiana. Photogrammetric Engineering and Remote Sensing 71(11), 1275-1284.

Mendoza ME, Granados EL, Geneletti D, Perez-Salicrup DR, Salinas V. 2011. Analysing land cover and land use change processes at watershed level: A multi temporal study in the Lake Cuitzeo Watershed, Mexico (1975-2003). Applied Geography 31, 237-250.

Munroe DK, Croissant C, York AM. 2005. Land use policy and landscape fragmentation in an urbanizing region: assessing the impact of zoning. Applied Geography 25(2), 121-141.

Nagarajan N, Poongothai S. 2012. Effect of Land Use/ Land Cover Change Detection of Ungauged Watershed. World Applied Sciences Journal 17, 718-723.

Nagendra H, Pareeth S, Ghate R. 2006. People within parks-forest villages, land-cover change and landscape fragmentation in the Tadoba Andhari Tiger Reserve, India. Applied Geography 26(2), 96-112.

National Highway Authority (NHA). 2004. Profile:  Islamabad-Muzaffarabad  Dual  Carriageway N-75. Islamabad: National Highway Authority.

Nelson RF. 1983. Detecting forest canopy changes due to insect activity using Landsat MSS. Photogrammetric Engineering & Remote Sensing 49, 1303-1314.

Owojori A, Xie H. 2005. Landsat image-based LULC changes of San Antonio, Texascusing Advanced atmospheric correction and Object-oriented image analysis Approaches. In: 5th International Symposium on Remote Sensing of Urban Areas, Tempe, AZ.

Pelorosso R, Leone A, Boccia L. 2009. Land coverand land use change in the Italian central Apennines: a comparison of assessment methods. Applied Geography 29(1), 35-48.

Qasim M, Hubacek K, Termansen M, Khan A. 2011. Spatial and temporal dynamics of land use pattern in District Swat, Hindu Kush Himalayan region of Pakistan. Applied Geography 31, 820-828.

Qazi F, Ahmad SS. 2012. Change Analysis of Wetlands for the Year 1971-2008 of Kallar Kahar. Journal International Environmental Application and Science 7, 140-150.

Rao PJ, Harikrishna P, Rao BSP. 2006. Studies on silt deposition in Gambhiram Reservoir – A Remote Sensing Approach. Indian Geophysical Union 10, 285-292.

Ridd MK, Liu JJ. 1998. A comparison of four algorithms for change detection in an urban environment. Remote Sensing of Environment 63, 95–100.

Rosenfield GH, Fitzpatirck-Lins K. 1986. A coefficient of agreement as a measure of thematic classification accuracy. Photogrammetric Engineering & Remote Sensing 52(2), 223–227.

Schulz JJ, Cayuela L, Echeverria C, Salas J, Rey Benayas JM. 2010. Monitoring land cover change of the dryland forest landscape of Central Chile (1975-2008). Applied Geography 30(3), 436-447.

Serra P, Pons X, Saurí D. 2008. Land-cover and land-use change in a Mediterranean landscape: a spatial analysis of driving forces integrating biophysical and human factors. Applied Geography 28(3), 189-209.

Shalaby A, Tateishi R. 2007. Remote sensing and GIS for mapping and monitoring land cover and land-use changes in the Northwestern coastal zone of Egypt. Applied Geography 27(1), 28-41.

Singh A. 1989. Digital change detection techniques using remotely-sensed data. International Journal of Remote Sensing 10(6), 989-1003.

Tang Z, Engel BA, Pijanowski BC, Lim KJ. 2005. Forecasting land use change and its environmental impact at a watershed scale. Journal of Environmental Management 76, 35-45.

Townshend JRG, Justice CO. 1995. Spatial variability of images and the monitoring of changes in the normalized difference vegetation index. International Journal of Remote Sensing 16, 2187–2195.

Wang S, Kang S, Zhang L, Li F. 2008. Modelling hydrological response to different land-use and climate change scenarios in the Zamu River basin of northwest China. Hydrological Processes 22(14), 2502–2510.

Wu Q, Li H, Wang R, Paulussen J, He Y, Wang M, Wang B, Wang Z. 2006. Monitoring and predicting land use change in Beijing using remote sensing and GIS. Landscape and Urban Planning 78, 322-333.

Wyman MS, Stein TV. 2010. Modeling social and land-use/land-cover change data to assess drivers of smallholder deforestation in Belize. Applied Geography 30(3), 329-342.

Xiao J, Shen Y, Ge J, Tateishi R, Tang C, Liang Y, Huang Z. 2006. Evaluating urban expansion and land use change in Shijiazhuang, China, by using GIS and remote sensing. Landscape and Urban Planning 75, 69-80.

Xie Z, Xu X, Yan L. 2010. Analyzing qualitative and quantitative changes in coastal wetland associated to the effects of natural and anthropogenic factors in a part of Tianjin, China. Estuarine, Coastal and Shelf Science 86, 379-386.

Yuan F, Sawaya KE, Loeffelholz B, Bauer BE. 2005. Land cover classification and change analysis of the Twin Cities (Minnesota) metropolitan area by multitemporal Landsat remote sensing. Remote Sensing of Environment 98 (2-3), 317-328.

Zhang WW, Yao L, Li H, Sun DF, Zhou LD. 2011. Research on Land Use Change in Beijing Hanshiqiao Wetland Nature Reserve using Remote Sensing and GIS. Procedia Environmental Sciences 10, 583-588.