Comparative Case Studies on Vegetation Recovery from Hurricane Damage along theSouthern Coast of the US using Remote Sensing and GIS

Comparative Case Studies on Vegetation Recovery from Hurricane Damage along theSouthern Coast of the US using Remote Sensing and GIS

Bibliographic Details
Main Author: Akter, Rabeya
Language:English
Published: Ohio University / OhioLINK 2020
Subjects:
Geographic Information Science
Geography
Remote Sensing
US Hurricane
Vegetation damage
vegetation recovery period
hurricane case studies
vegetation index
Landsat image analysis
Online Access:http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1606924198334097
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spelling ndltd-OhioLink-oai-etd.ohiolink.edu-ohiou16069241983340972021-08-03T07:16:31Z Comparative Case Studies on Vegetation Recovery from Hurricane Damage along theSouthern Coast of the US using Remote Sensing and GIS Akter, Rabeya Geographic Information Science Geography Remote Sensing US Hurricane Vegetation damage vegetation recovery period hurricane case studies vegetation index Landsat image analysis In this study it was investigated if ecoregion type and hurricane-induced vegetation damage are related to recovery period in landfall areas by observing similar and different intensity hurricanes making landfall in different and similar ecoregions. Understanding of the interaction between hurricane intensity and its effects on vegetation could potentially benefit hurricane management plans and policies by observing the trend in damage and recovery period. To analyze the relation between ecoregion and hurricane, this research analyzed two comparative case studies utilizing remote sensing-based satellite images and geographic information system (GIS) tools. Results from the considered cases indicate that there is not a one-to-one relation between ecoregion type and the damage-recovery pattern of hurricanes. It cannot be generalized that hurricanes would affect vegetation similarly in similar ecoregions or differently in different ecoregions. Rather, it was found that pre-existing conditions associated with local weather and climate events and storm-scale meteorological parameters were playing a more dominant role in the characteristics of the damage footprint on vegetation in the studied cases. 2020 English text Ohio University / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1606924198334097 http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1606924198334097 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws.
collection NDLTD
language English
sources NDLTD
topic Geographic Information Science
Geography
Remote Sensing
US Hurricane
Vegetation damage
vegetation recovery period
hurricane case studies
vegetation index
Landsat image analysis
spellingShingle Geographic Information Science
Geography
Remote Sensing
US Hurricane
Vegetation damage
vegetation recovery period
hurricane case studies
vegetation index
Landsat image analysis
Akter, Rabeya
Comparative Case Studies on Vegetation Recovery from Hurricane Damage along theSouthern Coast of the US using Remote Sensing and GIS
author Akter, Rabeya
author_facet Akter, Rabeya
author_sort Akter, Rabeya
title Comparative Case Studies on Vegetation Recovery from Hurricane Damage along theSouthern Coast of the US using Remote Sensing and GIS
title_short Comparative Case Studies on Vegetation Recovery from Hurricane Damage along theSouthern Coast of the US using Remote Sensing and GIS
title_full Comparative Case Studies on Vegetation Recovery from Hurricane Damage along theSouthern Coast of the US using Remote Sensing and GIS
title_fullStr Comparative Case Studies on Vegetation Recovery from Hurricane Damage along theSouthern Coast of the US using Remote Sensing and GIS
title_full_unstemmed Comparative Case Studies on Vegetation Recovery from Hurricane Damage along theSouthern Coast of the US using Remote Sensing and GIS
title_sort comparative case studies on vegetation recovery from hurricane damage along thesouthern coast of the us using remote sensing and gis
publisher Ohio University / OhioLINK
publishDate 2020
url http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1606924198334097
work_keys_str_mv AT akterrabeya comparativecasestudiesonvegetationrecoveryfromhurricanedamagealongthesoutherncoastoftheususingremotesensingandgis
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