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Assessment of ecological disturbance in the mangrove forest of Sundarbans caused by cyclones using MODIS time-series data (2001–2011)

Author

Listed:
  • Dibyendu Dutta
  • Prabir Das
  • Soubhik Paul
  • Jaswant Sharma
  • Vinay Dadhwal

Abstract

The mangrove ecosystem of Sundarbans region plays an important ecological and socioeconomical role in both India and Bangladesh. The satellite-based approach has been adopted for assessing the ecological disturbance caused by major cyclones. Moderate Resolution Imaging Spectroradiometer (MODIS) time-series (2001–2011) Enhanced Vegetation Index (EVI) and Land Surface Temperature (LST) products were used to compute the MODIS Global Disturbance Index (MGDI). The pre- and post-cyclonic changes in the EVI as well as LST were analyzed to study the impact of cyclones on the vegetation and surface temperature, respectively. In the present study, time-series MGDI was transformed to the percentage change in MGDI using temporal mean for each pixel, and its response toward cyclonic events was studied. The pre- and post-cyclonic Landsat data were analyzed to identify the affected areas discernible on the image and a threshold was decided to mark the “disturbed pixels.” The threshold for the instantaneous disturbance caused by cyclones was found to be more than 11 % of the temporal mean MGDI. The selected threshold was applied on the time-series MGDI images to delineate the disturbed pixels, and percent-disturbed area of each Island was computed. The classified disturbed area maps were able to characterize the impact of cyclones and effectively represent the distribution of the spatial intensity of the ecological disturbance in Sundarbans region. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • Dibyendu Dutta & Prabir Das & Soubhik Paul & Jaswant Sharma & Vinay Dadhwal, 2015. "Assessment of ecological disturbance in the mangrove forest of Sundarbans caused by cyclones using MODIS time-series data (2001–2011)," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 79(2), pages 775-790, November.
    • Handle: RePEc:spr:nathaz:v:79:y:2015:i:2:p:775-790
    DOI: 10.1007/s11069-015-1872-x
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    Citations

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    Cited by:

    1. Mohammad Shamim Hasan Mandal & Tetsuro Hosaka, 2020. "Assessing cyclone disturbances (1988–2016) in the Sundarbans mangrove forests using Landsat and Google Earth Engine," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 102(1), pages 133-150, May.
    2. Xu, Xin & Zhang, Daojun & Zhang, Yu & Yao, Shunbo & Zhang, Jinting, 2020. "Evaluating the vegetation restoration potential achievement of ecological projects: A case study of Yan’an, China," Land Use Policy, Elsevier, vol. 90(C).
    3. Gwendolyn Karsch & Sharif A. Mukul & Sanjeev Kumar Srivastava, 2023. "Annual Mangrove Vegetation Cover Changes (2014–2020) in Indian Sundarbans National Park Using Landsat 8 and Google Earth Engine," Sustainability, MDPI, vol. 15(6), pages 1-9, March.

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