Research Article
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Preliminary Application of Space-Based Remote Sensing and Geospatial Technology for Investigation on the Geo-Environmental Consequences of Cyclone Aila 2009 in the NW Bangladesh

Year 2022, Volume: 9 Issue: 2, 120 - 138, 02.06.2022
https://doi.org/10.30897/ijegeo.838241

Abstract

Climate change phenomena have become a great concern in the context of global change and increased frequency and magnitude of natural disasters throughout the world in the recent time. Natural disasters like floods, cyclones, storm surges etc. often cause significant losses of life, large-scale economic and social impacts, and considerable environmental damages. This paper dealt with study on the overall methodological development to investigate the consequences of climate change extremities particularly, the after effects of cyclone using Remote Sensing (RS) and Geographic Information System (GIS) technology. In this connection, individual functional components have been investigated, tested and verified. Time series multi-sensor satellite data particularly of Landsat, World view (from Google origin) have been utilized to infer information on the consequences of Cyclone Aila 2009 hitting part of southwestern Bangladesh as a test case under the present study. Information retrieval mechanism utilized is based on specially designed methodological framework using satellite-based RS technology along with GIS. Developed technical approach consists of a three-fold components – (i) Establishment of input foundation layer with high spatial details to support characterization, recognition and identification of important surface features using high resolution satellite data; (ii) Effective operational procedure to process, analyze, interpret and finally to archive the retrieved information; (iii) Functional computations were made using spatial modeler language (SML) programming environment under ERDAS Imagine image processing software. Satellite image processing, analysis operation together with image-based spectral characterization of surface features under different stressing conditions etc. have been exercised to derive useful surface information. Specially designed geospatial database has been established in GIS using ArcInfo professional software. Varieties of geospatial data from diverse sources have been incorporated categorically as column-based attributes in GIS. Dual spatial data layers have been generated in GIS for two different dates representing the pre-cyclone and post-cyclone time sequences utilizing appropriate high spatial resolution satellite images. Finally, a geospatial image-based combinational technique has been utilized employing high temporal and moderate spatial resolution time series satellite data with low temporal and high spatial resolution satellite data. Such an operation results in an improved spatial and temporal resolution of output products enabling capture of dynamics of surface features in the spatiotemporal domain providing more precision and details in the output. This study has been supplemented with necessary Ground Position System (GPS)-based ground truthing, selected field data collection and field-based group discussions outcomes.

Thanks

The authors are thankful to the Chairman, Bangladesh Space Research and Remote Sensing Organization (SPARRSO). One of the authors Dr. Sajidur RAHMAN is thankful to the Director of Centre for Climate Change and Environmental Research (C3ER), BRAC University, Dhaka, Bangladesh for permitting to carry out and publish this research work.

References

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  • Dewan, A. M., and Yamaguchi, Y. 2009, Land use and land cover change in Greater Dhaka, Bangladesh: Using remote sensing to promote sustainable urbanization. Applied Geography, 29 (3), pp. 390-401.
  • Government of Bangladesh (GoB), 2005, Unlocking the potential: national strategy for accelerated poverty reduction. Dhaka, General Economic Division, Planning Commission, Government of the People’s Republic of Bangladesh.
  • Howarth, P.J. and G. M. Wickware, 1981, Procedures for Change Detection Using Landsat Digital Data. International Journal of Remote Sensing, Vol. 2, No. 3, 277-291. doi:10.1080/01431168108948362.
  • IPCC, 2007, Climate Change 2007: Impacts, Adaptation and Vulnerability: Summary for Policymakers. Working Group II Contribution to the Intergovernmental Panel on Climate Change Fourth Assessment Report. IPCC, Geneva.
  • Islam, M. S. 2001, Sea-level changes in Bangladesh: The last ten thousand years, Asiatic Society of Bangladesh.
  • Kreft, S., Eckstein, D., Melchior, I. 2016, Global Climate Risk Index 2017, German watch. Bonn.
  • Kumar, U., Baten, M.A., Masud, A., Osman, K.S., Rahman, M.M. 2010, Cyclone Aila: One Year on Natural Disasterto Human Sufferings. Khulna, Bangladesh: Unnayan Onneshan - Humanity Watch – Nijera Kori.
  • Li, X, & Yeh, AGO 1998, ‘Principal component analysis of stacked multi-temporal images for monitoring of rapid urban expansion in the Pearl River Delta’, International Journal of Remote sensing, Vol.19 (8), pp.1501-1518.
  • Lopez, E & Bocco, G 2001, ‘Predicting land-cover and land use change in the urban fringe: a case in Morelia city, Mexico’, Landscape and urban planning, Vol.55, pp.271-285.
  • Lu, D., P. Mausel, E. Brondízio and E. Moran, 2004, Change detection techniques. International Journal of Remote Sensing, 25, Issue 12, 2365-2401.
  • Mahmuduzzaman, Md., Zahir Uddin Ahmed, A. K. M. Nuruzzaman, Fazle Rabbi Sadeque Ahmed, 2014, Causes of Salinity Intrusion in Coastal Belt of Bangladesh. International Journal of Plant Research, 4, 8-13.
  • Mas, J.-F., 1999, Monitoring land-cover changes: a com parison of change detection techniques International Journal of Remote Sensing, 1999, vol. 20, No. 1, 139-152.
  • MWR, 2005, Coastal Zone Policy. Ministry of Water Resources (MWR), Dhaka, Bangladesh.
  • Myint, S.W., M. Yuan, R. S. Cerveny, and C. Giri, 2008, Categorizing natural disaster damage assessment using satellite-based geospatial techniques. Nat. Hazards Earth Syst. Sci., 8, 707–719 (www.nat-hazards-earth-syst-sci.net/8/707/2008/).
  • Nelson, R. F., 1983, Detecting forest canopy change due to insect activity using Landsat MSS. Photogrammetric Engineering and Remote Sensing, 9, 1303-1314.
  • Phinn, S.R. 1998, A framework for selecting appropriate remotely sensed data dimensions for environmental monitoring and management. International Journal of Remote Sensing 19:3457–3463.
  • Pilon, P. G., Howarth, P. J., and Bullock, R. A., 1988, An enhanced classification approach to change detection in semi-arid environments. Photogrammetric Engineering and Remote Sensing, 12, 1709-1716.
  • Prenzel, B. 2004, Remote sensing-based quantification of land-cover and land-use change for planning, Progress in planning, Vol.61, pp.281-299.
  • Rahman, H. and G. Dedieu, 1994, SMAC: A Simplified Method for the Atmospheric Correction of Satellite Measurements in the Solar Spectrum. International Journal of Remote Sensing, 15, 123-143.
  • Rahman, H., 1999, Study of the catastrophic flood of 1998 in Bangladesh using multitemporal Radarsat Scansar data. Proceedings of the Second International Symposium on Operationalization of Remote Sensing organized by the International Institute for Aerospace Survey and Earth Sciences (ITC), Netherlands, August 16-20, 1999.
  • Rowsell, E.C.P., Sultana, P., Thompson, P. 2013, The ‘last resort’ Population movement in response to climate-related hazards in Bangladesh. Environ Sci Policy 27: S44–S59 MWR 2005- MWR (2005) Coastal zone policy vol Dhaka. Government of Bangladesh.
  • Roy, K., Kumar, U., Mehedi, H., Sultana, T., Ershad, D. M. 2009, Initial damage assessment report of cyclone Aila with focus on Khulna district. Khulna, Bangladesh: Unnayan Onneshan - Humanity Watch – Nijera Kori.
  • Sharma, A. K., Varun, J., Kumar, K. 2010, Use of remote sensing and GIS in disaster management in Gangtok area. Sikkim Article.
  • Singh, Ashbindu, 1989, Review Article Digital change detection techniques using remotely-sensed data. International Journal of Remote Sensing, 10, NO. 6, 989-1003.
  • Shinozuka, M. & Rejaie, A. 2000, Correlational analysis of remotely sensed pre- and post-disaster images. SPIE's 7th Annual International Symposium on Smart Structures and Materials.
  • Stryker, T. & Jones, B. 2009, Disaster response and the international charter program.
  • UNEP, 2001, Bangladesh state of the environment. United Nations Development Programmes (UNEP), Thailand.
  • USAID, 2015, Bangladesh: Cyclone Fact Sheet #1 (FY 2009). Available online: http://reliefweb.int/report/bangladesh/bangladesh-cyclone-fact-sheet-1-fy-2009.
  • Visser, S.J. & Dawood, A.S. 2004, Real-time natural disasters detection and monitoring from smart earth observation satellite, Journal of Aerospace Engineering, 17: 10-19.
  • Wang, F. & Xu, J.Y. 2010, Comparison of Remote Sensing Change Detection Techniques for Assessing Hurricane Damage to Forest. Environmental Monitoring and Assessment, 162, 311-326 (2010). http://en.banglapedia.org/.
Year 2022, Volume: 9 Issue: 2, 120 - 138, 02.06.2022
https://doi.org/10.30897/ijegeo.838241

Abstract

References

  • Ahmed, B., Kelman, I., Fehr, H.K., Saha, M. 2016, Community Resilience to Cyclone Disasters in Coastal Bangladesh. Sustainability 8, 805.
  • Anwar Ali, Dewan Abdul Quadir, Abdul Mannan Sardar, Hafizur Rahman, A.Z.MD. Zahedul Islam and Abdus Shahid, 1998, Flood Monitoring and Damage Assessment in Bangladesh Using RADARSAT Data. RADARSAT International, ADRO Symposium, Montreal, Canada, 13-15 October, 1998.
  • BBS, 2012a, Population and Housing Census 2011. Community Report Satkhira Zila. Bangladesh Bureau of Statistics, Dhaka.
  • BBS, 2012b, Population and housing census 2011. Community Report Khulna. Bangladesh Bureau of Statistics, Dhaka.
  • Bishawjit Mallick, Bayes Ahmed, Joachim Vogt, 2017, Living with the Risks of Cyclone Disasters in the South-Western Coastal Region of Bangladesh. Environments 2017, 4, 13; doi:10.3390/environments4010013.
  • Dewan, A. M., and Yamaguchi, Y. 2009, Land use and land cover change in Greater Dhaka, Bangladesh: Using remote sensing to promote sustainable urbanization. Applied Geography, 29 (3), pp. 390-401.
  • Government of Bangladesh (GoB), 2005, Unlocking the potential: national strategy for accelerated poverty reduction. Dhaka, General Economic Division, Planning Commission, Government of the People’s Republic of Bangladesh.
  • Howarth, P.J. and G. M. Wickware, 1981, Procedures for Change Detection Using Landsat Digital Data. International Journal of Remote Sensing, Vol. 2, No. 3, 277-291. doi:10.1080/01431168108948362.
  • IPCC, 2007, Climate Change 2007: Impacts, Adaptation and Vulnerability: Summary for Policymakers. Working Group II Contribution to the Intergovernmental Panel on Climate Change Fourth Assessment Report. IPCC, Geneva.
  • Islam, M. S. 2001, Sea-level changes in Bangladesh: The last ten thousand years, Asiatic Society of Bangladesh.
  • Kreft, S., Eckstein, D., Melchior, I. 2016, Global Climate Risk Index 2017, German watch. Bonn.
  • Kumar, U., Baten, M.A., Masud, A., Osman, K.S., Rahman, M.M. 2010, Cyclone Aila: One Year on Natural Disasterto Human Sufferings. Khulna, Bangladesh: Unnayan Onneshan - Humanity Watch – Nijera Kori.
  • Li, X, & Yeh, AGO 1998, ‘Principal component analysis of stacked multi-temporal images for monitoring of rapid urban expansion in the Pearl River Delta’, International Journal of Remote sensing, Vol.19 (8), pp.1501-1518.
  • Lopez, E & Bocco, G 2001, ‘Predicting land-cover and land use change in the urban fringe: a case in Morelia city, Mexico’, Landscape and urban planning, Vol.55, pp.271-285.
  • Lu, D., P. Mausel, E. Brondízio and E. Moran, 2004, Change detection techniques. International Journal of Remote Sensing, 25, Issue 12, 2365-2401.
  • Mahmuduzzaman, Md., Zahir Uddin Ahmed, A. K. M. Nuruzzaman, Fazle Rabbi Sadeque Ahmed, 2014, Causes of Salinity Intrusion in Coastal Belt of Bangladesh. International Journal of Plant Research, 4, 8-13.
  • Mas, J.-F., 1999, Monitoring land-cover changes: a com parison of change detection techniques International Journal of Remote Sensing, 1999, vol. 20, No. 1, 139-152.
  • MWR, 2005, Coastal Zone Policy. Ministry of Water Resources (MWR), Dhaka, Bangladesh.
  • Myint, S.W., M. Yuan, R. S. Cerveny, and C. Giri, 2008, Categorizing natural disaster damage assessment using satellite-based geospatial techniques. Nat. Hazards Earth Syst. Sci., 8, 707–719 (www.nat-hazards-earth-syst-sci.net/8/707/2008/).
  • Nelson, R. F., 1983, Detecting forest canopy change due to insect activity using Landsat MSS. Photogrammetric Engineering and Remote Sensing, 9, 1303-1314.
  • Phinn, S.R. 1998, A framework for selecting appropriate remotely sensed data dimensions for environmental monitoring and management. International Journal of Remote Sensing 19:3457–3463.
  • Pilon, P. G., Howarth, P. J., and Bullock, R. A., 1988, An enhanced classification approach to change detection in semi-arid environments. Photogrammetric Engineering and Remote Sensing, 12, 1709-1716.
  • Prenzel, B. 2004, Remote sensing-based quantification of land-cover and land-use change for planning, Progress in planning, Vol.61, pp.281-299.
  • Rahman, H. and G. Dedieu, 1994, SMAC: A Simplified Method for the Atmospheric Correction of Satellite Measurements in the Solar Spectrum. International Journal of Remote Sensing, 15, 123-143.
  • Rahman, H., 1999, Study of the catastrophic flood of 1998 in Bangladesh using multitemporal Radarsat Scansar data. Proceedings of the Second International Symposium on Operationalization of Remote Sensing organized by the International Institute for Aerospace Survey and Earth Sciences (ITC), Netherlands, August 16-20, 1999.
  • Rowsell, E.C.P., Sultana, P., Thompson, P. 2013, The ‘last resort’ Population movement in response to climate-related hazards in Bangladesh. Environ Sci Policy 27: S44–S59 MWR 2005- MWR (2005) Coastal zone policy vol Dhaka. Government of Bangladesh.
  • Roy, K., Kumar, U., Mehedi, H., Sultana, T., Ershad, D. M. 2009, Initial damage assessment report of cyclone Aila with focus on Khulna district. Khulna, Bangladesh: Unnayan Onneshan - Humanity Watch – Nijera Kori.
  • Sharma, A. K., Varun, J., Kumar, K. 2010, Use of remote sensing and GIS in disaster management in Gangtok area. Sikkim Article.
  • Singh, Ashbindu, 1989, Review Article Digital change detection techniques using remotely-sensed data. International Journal of Remote Sensing, 10, NO. 6, 989-1003.
  • Shinozuka, M. & Rejaie, A. 2000, Correlational analysis of remotely sensed pre- and post-disaster images. SPIE's 7th Annual International Symposium on Smart Structures and Materials.
  • Stryker, T. & Jones, B. 2009, Disaster response and the international charter program.
  • UNEP, 2001, Bangladesh state of the environment. United Nations Development Programmes (UNEP), Thailand.
  • USAID, 2015, Bangladesh: Cyclone Fact Sheet #1 (FY 2009). Available online: http://reliefweb.int/report/bangladesh/bangladesh-cyclone-fact-sheet-1-fy-2009.
  • Visser, S.J. & Dawood, A.S. 2004, Real-time natural disasters detection and monitoring from smart earth observation satellite, Journal of Aerospace Engineering, 17: 10-19.
  • Wang, F. & Xu, J.Y. 2010, Comparison of Remote Sensing Change Detection Techniques for Assessing Hurricane Damage to Forest. Environmental Monitoring and Assessment, 162, 311-326 (2010). http://en.banglapedia.org/.
There are 35 citations in total.

Details

Primary Language English
Subjects Environmental Engineering, Photogrammetry and Remote Sensing
Journal Section Research Articles
Authors

Farhana Tazneen 0000-0002-3937-075X

Hafızur Rahman 0000-0003-3366-4076

Sajıdur Rahman 0000-0002-9001-3790

Nasrin Sultana 0000-0003-4649-8281

B. M. Refat Faısal This is me

Publication Date June 2, 2022
Published in Issue Year 2022 Volume: 9 Issue: 2

Cite

APA Tazneen, F., Rahman, H., Rahman, S., Sultana, N., et al. (2022). Preliminary Application of Space-Based Remote Sensing and Geospatial Technology for Investigation on the Geo-Environmental Consequences of Cyclone Aila 2009 in the NW Bangladesh. International Journal of Environment and Geoinformatics, 9(2), 120-138. https://doi.org/10.30897/ijegeo.838241