Data Repository for Multi-Objective Urban Observational Strategies: A risk-based framework for expanding flood sensor networks.

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Authors: Christa M. Brelsford, Nathanael Rosenheim, Mark Wang
Cited by: 1

Abstract

These data support the manuscript "Multi-Objective Urban Observational Strategies: A risk-based framework for expanding flood sensor networks." These data are generated to allow water managers to reason about optimal locations to expand a flood observation system from multiple perspectives, specifically focusing on flood hazards, and population exposure to flooding. The data included are a) a shapefile of individual sensor locations b) a shapefile of river reach catchments, c) raster of FEMA flood likelihood layers d) shapefile of population locations and population socioeconomic characteristics. The code is written in R and includes all files necessary to generate the figures for the associated manuscript. Interactive maps of the final calculated maps of hazard, vulnerability, exposure, and risk are also included as html files.

Publication details

Journal / source
DOE Lawrence Berkeley National Laboratory (LBNL) Repository
Publication date
9 January 2026
Document type
Dataset