Geospatial scenario based modelling of urban and agricultural intrusions in Ramsar wetland deepor beel in northeast India using a multi-layer perceptron neural network

International Journal of Applied Earth Observation and Geoinformation

Volumn 32, Issue 1, 2014, Pages 92-104

  Mozumder, Chitrini ^a   Tripathi, Nitin K ^a  

^a ASIAN INSTITUTE OF TECHNOLOGY   (Thailand)

Author keywords

Deepor beel; Land use modelling; Multi layer perceptron neural network; Sensitivity analysis; Urban growth; Wetland conservation

Indexed keywords

ARTIFICIAL NEURAL NETWORK; COMPUTER SIMULATION; CONSERVATION MANAGEMENT; ENVIRONMENTAL IMPACT; ENVIRONMENTAL RESTORATION; LAND USE PLANNING; MARKOV CHAIN; PREDICTION; SENSITIVITY ANALYSIS; SUSTAINABILITY; UPLAND REGION; URBAN GROWTH; URBAN PLANNING; WETLAND; ZONING POLICY;

ASSAM; DEEPOR BEEL; GAUHATI; INDIA;

EID: 84904479926     PISSN: 15698432     EISSN: 1872826X     Source Type: Journal    
DOI: 10.1016/j.jag.2014.03.002     Document Type: Article

References (61)

1. Agarwal, C, Green, CM., Grove, J.M., Evans, T.P., Schweik, CM., 2002. A Review and Assessment of Land-Use Change Models: Dynamics of Space, Time, and Human Choice. Gen. Tech. Rep. NE-297. U.S. Department of Agriculture, Forest Service, Northeastern Research Station, Newtown Square, PA, 61 pp
2. Arsanjani JJ., Helbich, M., Kainz, W., Darvishi Boloorani, A., 2013. Integrationof logistic regression, Markov chain and cellular automata models to simulate urban expansion. Int. J. Appl. Earth Obs. Geoinf. 21, 265-275
3. Bell, E.J., 1974. Markov analysis of land use change - an application of stochastic processes to remotely sensed data. Socio-Econ. Plann. Sci. 8 (6), 311-316
4. BenDor, T., Brozovic, N., Pallathucheril, V.C, 2008. The social impacts of wetland mitigation policies in the United States. J. Plann. Lit. 22 (4), 341-357
5. Bhattacharyya, K.G., Kapil, N., 2009. Impact of urbanization on the quality of water in a natural reservoir: a case study with the Deepor Beel in Guwahati city, India. Water Environ. J. 24 (2), 83-96
6. Borthakur, M., Nath, B.K., 2012. A study of changing urban landscape and heat island phenomenon in Guwahati metropolitan area. Int. J. Sci. Res. Publ. 2(11), 1-6
7. Brown, D.G, Walker, R., Manson, S., Seto, K, 2004. Modelling land use and land cover change. In: Gutman, C, Janetos, A.C., Justice, CO., Moran, E.F., Mustard, J.F., Rindfuss, R.R., Skole, D., Turner, B.L., Cochrane, M.A. (Eds.), Land Change Science. Springer, Netherlands, pp. 395-409
8. Brown, M.T., Vivas, M.B., 2005. Landscape development intensity index. Environ Monit. Assess. 101 (3), 289-309
9. Chander, C, Markham, B., 2003. Revised landsat 5 TM radiometric calibration procedures and post calibration dynamic ranges. IEEE Trans. Geosci. Remote Sens. 41(11), 2674-2677
10. Clark, W., 1965. Markov chain analysis in geography: an application to the movement of rental housing areas. Ann. Assoc. Am. Geogr. 55 (2), 351-359
11. Crane, P., Kinzig, A., 2005. Nature in the metropolis, science 308 (5726), 1225
12. Dai, E., Fu, S., Shi, W., Cheung, C, Shaker, A., 2005. Modeling change-pattern-value dynamics on land use: an integrated GIS and artificial neural networks approach. Environ. Manag. 36,576-591
13. Eastman, J.R., 2012. IDRISI Selva. Clark-Labs, Clark University, Worcester, MA
14. Geneletti, D., 2012. Assessing the impact of alternative land-use zoning policies on future ecosystem services. Environ. Impact Assess. Rev. 40, 25-35
15. GMDA, 2009. Master Plan for Guwahati Metropolitan Area - 2025. Govt. of Assam, India
16. Grayson, J.E., Chapman, M.G., Underwood, A.J., 1999. The assessment of restoration of habitat in urban wetlands. Landsc. Urban Plann. 43, 227-236
17. Han, D.Y., Yang, Y., Li, It, 2012. Recent advances in wetland degradation research Shengtai Xuebao/Acta Ecol. Sin. 32 (4), 1293-1307
18. Han, M., Sun, Y., Xu, S., 2007. Characteristics and driving factors of marsh changes in Zhalong wetland of China. Environ. Monit. Assess. 127,363-381
19. Hermoso, V., Kennard, M.J., Linke, S., 2012. Integrating multidirectional connectivity planning for freshwater systems. Divers. Distrib. 18,448-458
20. Jia, H., Ma, H., Wei, M., 2011. Urban wetland planning: a case study in the Beijing central region. Ecol. Complex. 8 (2), 213-221
21. JNNURM, 2006. City Development Plan Guwahati. Jawaharlal Nehru National Urban Renewal Mission. Govt. of India, http://jnnurm.nic.in/wpcontent/uploads/2010/12/CDP_Guwahati.pdf (accessed 20.09.13)
22. Kettlewell, C.I., Bouchard, V., Porej, D., Micacchion, M., Mack, J.J., White, D., Fay, L., 2008. An assessment of wetland impacts and compensatory mitigation in the Cuyahoga River watershed. Wetlands 28 (1), 57-67
23. Kok, It, Van Vliet, M., 2011. Using a participatory scenario development toolbox: added values and impact on quality of scenarios. J. Water Clim. Change 2,87-105
24. Kok, It, Van Vliet, M., Barlund, I., Dubel, A., Sendzimir, J., 2011. Combining participative backcasting and exploratory scenario development: experiences from the SCENES project. Technol. Forecast. Soc. Change 78 (5), 835-851
25. Liebetrau, A.M., 1983. Association between variables. In: Measures of Association. SAGE Publication, California, USA
26. Luo, C, Yin, C, Chen, X., Xu, W., Lu, L., 2010. Combining system dynamic model and CLUES model to improve land use scenario analyses at regional scale: a case study of Sangong watershed in Xinjiang, China. Ecol. Complex. 7 (2), 198-207
27. Mack, J.J., 2006. Landscape as a predictor of wetland condition: an evaluation of the Landscape Development Index (LDI) with a large reference wetland dataset from Ohio. Environ. Monit. Assess. 120 (3), 221-241
28. Mas, J.F., Kolb, M., Paegelow, M., Camacho Olmedo, M.T., Houet, T., 2014. Inductive pattern-based land use/cover change models: a comparison of four software packages. Environ. Model. Softw. 51, 94-111
29. Matthews, R.B., Gilbert, N.G., Roach, A., Polhill, J.G., Gotts, N.M., 2007. Agentbased land-use models: a review of applications. Landsc. Ecol. 22 (10), 1447-1459
30. MEA, 2005. Ecosystems and Human Weil-Being: Synthesis. Millenium Ecosystem Assessment. Island Press, Washington, DC
31. Mitsch, W.J., Gosselink, J.G., 2000. The value of wetlands: importance of scale and landscape setting. Ecol. Econ. 35, 25-33
32. Mitsch, W.J., Wang, N., 2000. Large-scale coastal wetland restoration on the Laurentian Great Lakes: determining the potential for water quality improvement. Ecol. Eng. 15, 267-282
33. Mitsuda, Y., Ito, S., 2010. A review of spatial-explicit factors determining spatial distribution of land use/land-use change. Landsc. Ecol. Eng. 7 (1), 117-125
34. MoEF, 2008. Report on Visit to Deepor Beel in Assam: A Wetland Included Under National Wetland Conservation Management Programme of the Ministry of Environment and Forests, Guwahati, 13-14 August, http:// planningcommission.nic.in/reports/E_F/DeeporBeel.pdf (accessed 20.03.13)
35. Mohmand, A.A.K., Aljoufi, M., Flacke, J., Brussels, M., 2011. Developing a cellular automata land use model for Jeddah City, Kingdom of Saudi Arabia. In: Proceedings of GTC 2011 - Geomatics Technologies in the City, Jeddah, KSA, 10-13 May
36. Mozumder, C, Tripathi, N.It, 2011. Climatic factors on wetland dynamics of Deepor Beel in India: a remote sensing and GIS based approach. In: Asian Conference on Remote Sensing. Asian Association of Remote Sensing, Taipei, Taiwan, 4-5 October
37. Mozumder, C, Tripathi, N.It, 2012. Use of multiple satellite images for feature extraction and image classification: a case study of Ramsar wetland in North East India. In: Asian Conference on Remote Sensing. Asian Association of Remote Sensing, Pattaya, Thailand, 26-30 November
38. Onate-Valdivieso, F., Bosque Sendra, J., 2010. Application of GIS and remote sensing techniques in generation of land use scenarios for hydrological modeling. J Hydrol. 395, 256-263
39. Perez-Vega, A., Mas, J.F., Ligmann-Zielinska, A., 2012. Comparing two approaches to land use/cover change modeling and their implications for the assessment of biodiversity loss in a deciduous tropical forest. Environ. Model. Softw. 29(1), 11-23
40. Pijanowski, B.C., Brown, D.C, Shellito, B.A., Manik, G.A., 2002. Using neural networks and GIS to forecast land use changes: a land transformation model. Comput. Environ. Urban Syst. 26 (6), 553-575
41. Prasad, S.N., Ramachandra, T.V., Ahalya, N., Sengupta, T., Kumar, A., Tiwari, A.It, 2002. Conservation of wetlands of India - a review. Trop. Ecol. 43 (1), 173-186
42. Prigent, C, Papa, F., Aires, F.,Jimenez, C, Rossow, W.B., Matthews, E., 2012. Changes in land surface waterdynamics since the 1990s and relation to population pressure. Geophys. Res. Lett. 39 (8), 1-5
43. Ramsar, 2006. The Ramsar convention manual: a guide to the convention on wetlands. In: Ramsar Handbooks for the Wise Use of Wetlands, 4th ed. Ramsar Convention Secretariat, Gland, Switzerland
44. Ramsar, 2010. River basin management: integrating wetland conservation and wise use into river basin management. Ramsar Handbooks for the Wise Use of Wetlands, vol. 9., 4th ed. Ramsar Convention Secretariat, Gland, Switzerland
45. Richardson, C.J., Flanagan, N.E., Ho, M., Pahl, J.W., 2011. Integrated stream and wetland restoration: a watershed approach to improved water quality on the landscape. Ecol. Eng. 37 (1), 25-39
46. RIS, 2002. Information Sheet on Ramsar Wetlands (RIS). World Wildlife Fund for Nature, Guwahati, India, www.wetlands.org/reports/ris/2IN012en.pdf (accessed 20.03.13)
47. Saikia, P.It, 2005. Qualitative and Quantitative Study of Lower and Higher Organisms and Their Functional Role in the Deepor Beel Ecosystem. Department of Zoology, Gauhati University, http://www.ndsu.edu/pubweb/bezbarua/ em/Documents/Deepor Report-PrasantaSaikia.pdf (accessed 15.02.13)
48. Sharma, B.It, 2011. Zooplankton communities of Deepor Beel (a Ramsar site), Assam (N. E. India): ecology, richness and abundance. Trop. Ecol. 52 (3), 293-302
49. Sharma, N., Janauer, C, Mondal, S., Bakimchandra, O., Garg, R.D., 2012. Assessing wetland landscape dynamics in the Deepor Beel of Brahmaputra Basin using geospatial tools. Asian J. Geoinf. 12(1), 1-8
50. Silva, E., Wu, N., 2012. Surveying models in urban land studies. J. Plann. Lit. 27 (2), 139-152
51. Thapa, R.B., Murayama, Y., 2011. Urban growth modeling of Kathmandu metropolitan region, Nepal. Comput. Environ. Urban Syst. 35 (1), 25-34
52. Thapa, R.B., Murayama, Y., 2012. Scenario based urban growth allocation in Kathmandu Valley, Nepal. Landsc. Urban Plann. 105,140-148
53. Tilton, D.L., 1995. Integrating wetlands into planned landscapes. Landsc. Urban Plann. 32, 205-209
54. Ti-yan, S., Wei-dong, W., Min, H.O.U., Zhao-cheng, G.U.O., Ling, X.U.E., Kai-zhong, Y., 2007. Study on spatio-temporal system dynamic models of urban. Syst. Eng. -Theor. Pract. 27(1), 10-17
55. Tong, C.F., Feagin, R.A., Lu, J.J., Zhang, X.F., Zhu, X.J., Wang, W., He, W.S., 2007. Ecosystem service values and restoration in the urban Sanyang wetland of Wenzhou, China. Ecol. Eng. 29, 249-258
56. Trisurat, Y., Alkemade, R., Verburg, P.H., 2010. Projecting land-use change and its consequences for biodiversity in northern Thailand. Environ. Manag. 45 (3), 626-639
57. Verburg, P.H., Overmars, K.P., 2009. Combining top-down and bottom-up dynamics in land use modeling: exploring the future of abandoned farmlands in Europe with the Dyna-CLUE model. Landsc. Ecol. 24,1167-1181
58. Verburg, P.H., Soepboer, W., Veldkamp, A., Limpiada, R., Espaldon, V., Mastura, S.S.A., 2002. Modeling the spatial dynamics of regional land use: the CLUES model. Environ. Manag. 30 (3), 391-405
59. Vermote, E., Tanre, D., Deuze, J.L., Herman, M., Morcrette, J.J., Kotchenova, S.Y., 2006. Second Simulation of a Satellite Signal in the Solar Spectrum - Vector (6SV), User Guide. Department of Geography, University of Maryland, USA
60. Wu, F., 1998. Simulating urban encroachment on rural land with fuzzy-logiccontrolled cellular automata in a geographical information system. J. Environ Manag. 53, 293-308
61. Zacharias, I., Dimitriou, E., Koussouris, T., 2005. Integrated water management scenarios for wetland protection: application in Trichonis Lake. Environ. Model Softw. 20(2), 177-185