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Puerto Rico suffered severe damage from the category 5 hurricane (Maria) inSeptember 2017. Total monetary damages are estimated to be ~92 billion USD, thethird most costly tropical cyclone in US history. The response to this damagehas been tempered and slow moving, with recent estimates placing 45% of thepopulation without power three months after the storm. Consequently, wedeveloped a unique data-fusion mapping approach called the Urban DevelopmentIndex (UDI) and new open source tool, Comet Time Series (CometTS), to analyzethe recovery of electricity and infrastructure in Puerto Rico. Our approachincorporates a combination of time series visualizations and change detectionmapping to create depictions of power or infrastructure loss. It also providesa unique independent assessment of areas that are still struggling to recover.For this workflow, our time series approach combines nighttime imagery from theSuomi National Polar-orbiting Partnership Visible Infrared Imaging RadiometerSuite (NPP VIIRS), multispectral imagery from two Landsat satellites, US Censusdata, and crowd-sourced building footprint labels. Based upon our approach wecan identify and evaluate: 1) the recovery of electrical power compared topre-storm levels, 2) the location of potentially damaged infrastructure thathas yet to recover from the storm, and 3) the number of persons without powerover time. As of May 31, 2018, declined levels of observed brightness acrossthe island indicate that 13.9% +/- ~5.6% of persons still lack power and/orthat 13.2% +/- ~5.3% of infrastructure has been lost. In comparison, the PuertoRico Electric Power Authority states that less than 1% of their customers stillare without power.

Assessment of electrical and infrastructure recovery in Puerto Rico following hurricane Maria using a multisource time series of satellite imagery