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Thesis_A H M Mainul Islam.pdf (1.25 MB)

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Tracking Cyclonic (Sidr) Impact and Recovery Rate of Mangrove Forest Using Remote Sensing: A Case Study of the Sundarbans, Bangladesh

Islam, A H M Mainul
http://orcid.org/0000-0003-3338-1068
http://rave.ohiolink.edu/etdc/view?acc_num=kent1636397351317072

Abstract Details

2021, MA, Kent State University, College of Arts and Sciences / Department of Geography.
The Sundarbans mangrove forest, one of the world’s largest of its kind situated at the southwest of Bangladesh (approximately 60%), plays a vital role in safeguarding the country from the wrath of tropical cyclones and other disaster events. It is known to act as a vegetative shield to protect cyclonic wind's initial threat during any tropical cyclone towards Bangladesh. During Sidr (November 15, 2007), the second-largest cyclone in Bangladesh since 1877, it is estimated that the Sundarbans lost 30% of its plant habitat while upwards of 15% of the forest sustained severe damage. To manage the natural resources of the Sundarbans after disturbance, proper study regarding the impact and post-disturbance recovery of the forests is an immediate requirement. Most of the literature has focused on change in land cover types, which can help investigate the overall impact. However, the question of how long it takes these forests to recover is still relatively unexplored. This study used a pixel-based approach using MODIS (MOD09Q1.006 Terra Surface Reflectance 8-Day Global 250m product) to explore the impact of Sidr and further recovery of the Sundarbans. State QA Bitmask was used to mask out the clouds, cloud shadows, and water from the images using Google Earth Engine (GEE) to ensure the quality of pixels. A specific threshold level was determined to collect the clear sky observations only. Plant productivity anomalies were used to understand the change in vegetation condition related to cyclone Sidr. Season based impact analysis was performed using a known reference period to determine the deviation from normal growth condition. I found that the east side of the Sundarbans’s was severely impacted, with a total of 2,261 sq. km. (approx.) being negatively impacted during the dry season immediately after Sidr. This area of the Sundarbans took approximately 3 years (2007 to 2010) to recover from the damage. This study is reproducible and rapid assessment for cyclone impact on the Sundarbans based on the availability of clear sky observations.
Timothy Assal (Advisor)
Emariana Widner (Committee Member)
He Yin (Committee Member)
79 p.
Geography; Remote Sensing
Mangrove Forests, Remote Sensing, Cyclones, Ecosystem Disturbance, NDVI Anomaly

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Citations

  • Islam, A. H. M. M. (2021). Tracking Cyclonic (Sidr) Impact and Recovery Rate of Mangrove Forest Using Remote Sensing: A Case Study of the Sundarbans, Bangladesh [Master's thesis, Kent State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=kent1636397351317072

    APA Style (7th edition)

  • Islam, A H M Mainul. Tracking Cyclonic (Sidr) Impact and Recovery Rate of Mangrove Forest Using Remote Sensing: A Case Study of the Sundarbans, Bangladesh. 2021. Kent State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=kent1636397351317072.

    MLA Style (8th edition)

  • Islam, A H M Mainul. "Tracking Cyclonic (Sidr) Impact and Recovery Rate of Mangrove Forest Using Remote Sensing: A Case Study of the Sundarbans, Bangladesh." Master's thesis, Kent State University, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=kent1636397351317072

    Chicago Manual of Style (17th edition)

kent1636397351317072
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This open access ETD is published by Kent State University and OhioLINK.