A 2018 catalyst project developed tools for working with SET data including a series of computer codes - R scripts - for processing, quality checking, analyzing and visualizing these complex datasets. The statistical codes re available through GitHub and are explained in a Guide to the SETr Workflow.
Resources
Resources
A repository of data, publications, tools, and other products from project teams, Science Collaborative program, and partners.
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This professional training toolkit supports facilitators and leaders of coastal resilience processes to use the Alaska Fisheries Resilience Index, a self-assessment tool for fishery industry leaders and businesses.
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These coastal hazard risk communication training process agendas can be used to as a model help facilitators develop trainings for coastal decision makers in other communities.
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These scientific illustrations show groundwater flows, seeps, and springs. They were created as part of a 2017 Collaborative Research project that developed a conceptional model for groundwater discharge and recharge on the Kenai Peninsula, Alaska.
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These facilitation guides and job aids, part of a Resilience Metrics toolkit, provide tools and activities for each step of the process to develop and track metrics of adaptation success.
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These case studies, part of a Resilience Metrics toolkit, show how particular communities have defined and tracked their progress on climate adaptation goals.
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This collection of reports summarizes Surface Elevation Table (SET) data at fiften reserves. A technical report analyzing of surface elevation change and a summary for oureach purposes is provided for each reserve.
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These coastal hazard risk communication workshop materials can be used to help facilitate trainings for coastal decision makers.
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This climate adaptation planning toolkit compiles lessons learned by five National Estuarine Research Reserves. It is designed to help communities set goals and identify specific indicators to evaluate progress toward a climate resilient future.
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This paper, published in International Journal of Applied Earth Observation and Geoinformation, describes results of three different mangrove mapping methods to evaluate the impacts of Hurricane Irma, a Category 3 storm that affected southwest Florida in September of 2017. The approach was tested on a very high resolution WorldView-2 satellite image.