Hurricane Georges and vegetation change in Puerto Rico using AVHRR satellite data

Ayala-Silva, Tomas; Twumasi, Yaw A.

doi:10.1080/01431160310001595037

Cited by 44 publications

(27 citation statements)

References 34 publications

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“…Using AVHRR satellite data captured over Puerto Rico prior to and after Hurricane Georges (1998), Normalized Difference Vegetation Index (NDVI) values were used to assess vegetation changes following the storm [3] . The path of the storm transected the island crossing from the southeast to the northwest ends.…”

Section: Resultsmentioning

confidence: 99%

“…Proximity to the eye of the storm: Proximity to the eye of the storm and location of the affected site in relation to the direction of movement of the storm are essential in estimating the direction of treefall and potential damage to forests [2,3,16,58] . As previously mentioned, the greatest amount of damage is found in the northeast quadrant of the storm.…”

Section: Resultsmentioning

confidence: 99%

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Physical and Biological Responses of Forests to Tropical Cyclones Affecting the United States Atlantic Ocean and Gulf of Mexico Coasts

Jeffrey¹

2009

American J. of Environmental Sciences

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Problem Statement: Natural resources within the southern United States have repeatedly been subjected to the impact of tropical cyclones. While the frequency of tropical cyclones hitting either coast varies from year to year, it is crucial for natural resource managers and land owners to be prepared for the damage resulting from such storms. The goal of this review paper is to synthesize previous research and assess how hurricanes impact coastal forests. Approach: In order to understand the impact on forests in this region, an extensive literature review was preformed. The literature review focused primarily on the southern United States' forests but included information from other areas that was pertinent in understanding the impact of strong wind events on forests. Results: Although the literature is not entirely consistent in arriving at factors that can be used to describe or predict potential damage to forests, a number of trends were obvious. Forest damage was found to be a function of tree species, proximity to the eye of the hurricane, stand and site characteristics, species-specific responses to storm surges, and topographic exposure. Each of these factors was found to be critical in developing and understanding potential hurricane damage to forest and wildlife values. Conclusions/Recommendations: Such a review paper was found to be a valuable tool for informing natural resource managers and forest land owners of the potential impacts of hurricanes on the forest of the southern United States. This information will help land managers develop a response plan related to hurricane damage.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Physical and Biological Responses of Forests to Tropical Cyclones Affecting the United States Atlantic Ocean and Gulf of Mexico Coasts

Jeffrey¹

2009

American J. of Environmental Sciences

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“…Ramsey et al (1998) used 1-km Advanced Very High Resolution Radiometer (AVHRR) imagery to map Katrina's impacts to bottomland hardwood and baldcypress/tupelo (Taxodium distichum/Nyssa aquatica) stands in coastal Louisiana. AVHRR imagery was also used by Ayala-Silva and Twumasi (2004) to investigate spatial patterns of damage related to distance away from the path of Hurricane Georges in Puerto Rico. All of these studies found change in the Normalized Difference Vegetation Index (NDVI) to be a useful indicator of forest damage, but none of the lower-resolution studies systematically validated their estimates against reference data.…”

Section: Multi-temporal Analysesmentioning

confidence: 99%

Using Regional-scale Pre- and Post Hurricane Katrina Lidar for Monitoring and Modeling

Stoker¹,

Turnipseed²,

Wilson³

2011

Recent Hurricane Research - Climate, Dynamics, and Societal Impacts

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“…However, the relationship between variations of vegetation index and intensity of hazards is rarely mentioned. Although some progress has been made in several studies that the different wind speed interval durations (Ramsey et al, 2001) and the distance away from the centre of hurricane (Ayala -Silva and Twumasi, 2004) have good correlations with the variations of NDVI, there exists plenty of room to study the relationship of hazard and exposure based on the remote sensing technology and hazard analysis method.…”

Section: Introductionmentioning

confidence: 99%

Forest Disturbance Analysis With Landsat-8 Oli Data Related to a Parametric Wind Field: A Case Study for Typhoon Rammasun (201409)

Tan

Fang

2018

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Forest disturbance induced by tropical cyclone often has significant and profound effects on the structure and function of forest ecosystem. Detection and analysis of post-disaster forest disturbance based on remote sensing technology has been widely applied. At present, it is necessary to conduct further quantitative analysis of the magnitude of forest disturbance with the intensity of typhoon. In this study, taking the case of super typhoon Rammasun (201409), we analysed the sensitivity of four common used remote sensing indices and explored the relationship between remote sensing index and corresponding wind speeds based on pre-and post-Landsat-8 OLI (Operational Land Imager) images and a parameterized wind field model. The results proved that NBR is the most sensitive index for the detection of forest disturbance induced by Typhoon Rammasun and the variation of NBR has a significant linear dependence relation with the simulated 3-second gust wind speed.

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Hurricane Georges and vegetation change in Puerto Rico using AVHRR satellite data

Cited by 44 publications

References 34 publications

Physical and Biological Responses of Forests to Tropical Cyclones Affecting the United States Atlantic Ocean and Gulf of Mexico Coasts

Physical and Biological Responses of Forests to Tropical Cyclones Affecting the United States Atlantic Ocean and Gulf of Mexico Coasts

Using Regional-scale Pre- and Post Hurricane Katrina Lidar for Monitoring and Modeling

Forest Disturbance Analysis With Landsat-8 Oli Data Related to a Parametric Wind Field: A Case Study for Typhoon Rammasun (201409)

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