Given its climatology and geography, Puerto Rico, is susceptible to weather events including tropical storms, hurricanes, and floods. When such events affect a socially vulnerable population, disaster can occur. As a result of changing social and demographic patterns, there has been a significant increase in population density, in the proportion of the elderly and physically disabled population, and an increasing concentration of residents in flood and/or landslide prone areas. Therefore an assessment of the interaction between weather phenomena, the built environment, and the social characteristics of Puerto Rico is imperative to determine where to allocate resources and how to use Collaborative Adaptive Sensing techniques. The primary objective of this research effort within CASA is to develop and implement a quantitative model that considers how Puerto Rico's social, political, economic, geographic, climatological, physical, infrastructural, and demographic factors that may influence the capacity of the population living within these areas to plan, anticipate, withstand, respond and recover in an extreme weather event. This holistic approach affords an opportunity to implement scanning strategies that provide better coverage of at-risk geographies with higher vulnerability indexes. Therefore, the proposed model will be an integral part of determining the location of the dense radar network and how the radar should scan the atmosphere. The technology that CASA is developing could be potentially more valuable if it adapts to the specific context and characteristics of Puerto Rico and its residents.