Abstract

Hurricanes and sea level rise pose significant threats to infrastructure and critical services (e.g., air and sea travel, water treatment), and can hinder sustainable development of major economic sectors (e.g., tourism, agriculture, and international commerce). Planning for a disaster-resilient future requires high-resolution, standardized data. However, few standardized approaches exist for identifying, inventorying, and quantifying infrastructure lands at risk from natural hazards. This research presents a cost effective, standardized and replicable method to geospatially inventory critical coastal infrastructure land use and components, for use in risk assessments or other regional analyses. While traditional approaches to geospatial inventorying rely on remote sensing or techniques, such as object-based image analysis (OBIA) to estimate land use, the current approach utilizes widely available satellite imagery and a “standard operating procedure” that guides individual mappers through the process, ensuring replicability and confidence. As a pilot study to develop an approach that can be replicated for other regions, this manuscript focuses on the Caribbean. Small islands rely heavily on a small number of critical coastal infrastructure (airports, seaports, power plants, water and wastewater treatment facilities) and climate related hazards threaten sustainable development and economic growth. The Caribbean is a large and diverse area, and gaps exist between countries in the resources required for planning but much of the region lacks a comprehensive inventory of the land, infrastructure, and assets at risk. Identifying and prioritizing infrastructure at risk is the first step towards preserving the region’s economy and planning for a disaster resilient future. This manuscript uses high resolution satellite imagery to identify and geo-spatially classify critical infrastructure land area and assets, such as structures, equipment, and impervious surfaces. We identified 386 critical coastal infrastructure facilities across 28 Caribbean nations/territories, with over 19,000 ha of coastal land dedicated to critical infrastructure. The approach establishes a new standard for the creation of geospatial data to assess land use change, risk, and other research questions suitable for the regional scale, but with sufficient resolution such that individual facilities can utilize the data for local-scale analysis.

Highlights

  • Planning for a disaster-resilient future requires highresolution, standardized data on a regional scale in order to properly assess risk

  • Using a heads-up digitizing approach, the methods outlined in this paper can be used to create a high-resolution dataset for the land and key features dedicated to critical infrastructure

  • The dearth of such datasets has been identified as a barrier to conducting research to understand a variety of issues, especially in developing nations such as many of the islands in the Caribbean

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Summary

Introduction

Planning for a disaster-resilient future requires highresolution, standardized data on a regional scale in order to properly assess risk. Hurricanes and sea level rise pose a significant threat to infrastructure and critical services that were built in harm’s way, such as water telecommunications, energy, and international commerce. These threats hinder sustainable development of major economic sectors, such as tourism, agriculture, and international commerce. They pose significant threats to fragile coastal ecosystems, as infrastructure-related disasters can result in the release of hazardous materials [1,2,3]. This research develops a standardized and replicable method to geospatially inventory critical coastal infrastructure land use and components. The resulting data can be used for natural hazard vulnerability assessment, tracking land use change over time, as well as other applications, on a regional scale

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