Big Data, Small Island: Earth Observations for Improving Flood and Landslide Risk Assessment in Jamaica

The Caribbean region is highly vulnerable to multiple hazards. Resultant impacts may be derived from single or multiple cascading risks caused by hydrological-meteorological, seismic, geologic, or anthropological triggers, disturbances, or events. Studies suggest that event records and data related...

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Main Authors: Cheila Avalon-Cullen, Christy Caudill, Nathaniel K. Newlands, Markus Enenkel
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Geosciences
Subjects:
Online Access:https://www.mdpi.com/2076-3263/13/3/64
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author Cheila Avalon-Cullen
Christy Caudill
Nathaniel K. Newlands
Markus Enenkel
author_facet Cheila Avalon-Cullen
Christy Caudill
Nathaniel K. Newlands
Markus Enenkel
author_sort Cheila Avalon-Cullen
collection DOAJ
description The Caribbean region is highly vulnerable to multiple hazards. Resultant impacts may be derived from single or multiple cascading risks caused by hydrological-meteorological, seismic, geologic, or anthropological triggers, disturbances, or events. Studies suggest that event records and data related to hazards, risk, damage, and loss are limited in this region. National Disaster Risk Reduction (DRR) planning and response require data of sufficient quantity and quality to generate actionable information, statistical inferences, and insights to guide continual policy improvements for effective DRR, national preparedness, and response in both time and space. To address this knowledge gap, we review the current state of knowledge, data, models, and tools, identifying potential opportunities, capacity needs, and long-term benefits for integrating Earth Observation (EO) understanding, data, models, and tools to further enhance and strengthen the national DRR framework using two common disasters in Jamaica: floods and landslides. This review serves as an analysis of the current state of DRR management and assess future opportunities. Equally, to illustrate and guide other United Nations Disaster Risk Reduction (UNDRR) priority countries in the Pacific region, known as Small Island Developing States (SIDS), to grapple with threats of multiple and compounding hazards in the face of increasing frequency, intensity, and duration of extreme weather events, and climate change impact.
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spelling doaj.art-9cd79715807f48f293fab11ad99c88282023-11-17T11:19:43ZengMDPI AGGeosciences2076-32632023-02-011336410.3390/geosciences13030064Big Data, Small Island: Earth Observations for Improving Flood and Landslide Risk Assessment in JamaicaCheila Avalon-Cullen0Christy Caudill1Nathaniel K. Newlands2Markus Enenkel3The Graduate Center, Bronx Community College, NOAA CREST Remote Sensing Earth System Institute, The City University of New York, 365 5th Avenue, New York, NY 10016, USAGroup on Earth Observations WG-DRR, 7 bis, Avenue de la Pais Case postale 2300, CH-1211 Geneva, SwitzerlandGroup on Earth Observations WG-DRR, 7 bis, Avenue de la Pais Case postale 2300, CH-1211 Geneva, SwitzerlandGroup on Earth Observations WG-DRR, 7 bis, Avenue de la Pais Case postale 2300, CH-1211 Geneva, SwitzerlandThe Caribbean region is highly vulnerable to multiple hazards. Resultant impacts may be derived from single or multiple cascading risks caused by hydrological-meteorological, seismic, geologic, or anthropological triggers, disturbances, or events. Studies suggest that event records and data related to hazards, risk, damage, and loss are limited in this region. National Disaster Risk Reduction (DRR) planning and response require data of sufficient quantity and quality to generate actionable information, statistical inferences, and insights to guide continual policy improvements for effective DRR, national preparedness, and response in both time and space. To address this knowledge gap, we review the current state of knowledge, data, models, and tools, identifying potential opportunities, capacity needs, and long-term benefits for integrating Earth Observation (EO) understanding, data, models, and tools to further enhance and strengthen the national DRR framework using two common disasters in Jamaica: floods and landslides. This review serves as an analysis of the current state of DRR management and assess future opportunities. Equally, to illustrate and guide other United Nations Disaster Risk Reduction (UNDRR) priority countries in the Pacific region, known as Small Island Developing States (SIDS), to grapple with threats of multiple and compounding hazards in the face of increasing frequency, intensity, and duration of extreme weather events, and climate change impact.https://www.mdpi.com/2076-3263/13/3/64floodslandslidesclimate changeEarth Observationdisaster planningJamaica
spellingShingle Cheila Avalon-Cullen
Christy Caudill
Nathaniel K. Newlands
Markus Enenkel
Big Data, Small Island: Earth Observations for Improving Flood and Landslide Risk Assessment in Jamaica
Geosciences
floods
landslides
climate change
Earth Observation
disaster planning
Jamaica
title Big Data, Small Island: Earth Observations for Improving Flood and Landslide Risk Assessment in Jamaica
title_full Big Data, Small Island: Earth Observations for Improving Flood and Landslide Risk Assessment in Jamaica
title_fullStr Big Data, Small Island: Earth Observations for Improving Flood and Landslide Risk Assessment in Jamaica
title_full_unstemmed Big Data, Small Island: Earth Observations for Improving Flood and Landslide Risk Assessment in Jamaica
title_short Big Data, Small Island: Earth Observations for Improving Flood and Landslide Risk Assessment in Jamaica
title_sort big data small island earth observations for improving flood and landslide risk assessment in jamaica
topic floods
landslides
climate change
Earth Observation
disaster planning
Jamaica
url https://www.mdpi.com/2076-3263/13/3/64
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AT christycaudill bigdatasmallislandearthobservationsforimprovingfloodandlandslideriskassessmentinjamaica
AT nathanielknewlands bigdatasmallislandearthobservationsforimprovingfloodandlandslideriskassessmentinjamaica
AT markusenenkel bigdatasmallislandearthobservationsforimprovingfloodandlandslideriskassessmentinjamaica