NH31A-1869
Urban Sprawl and Wildfire Danger along the Wildland-Urban Interface
Wednesday, 16 December 2015
Poster Hall (Moscone South)
Son V Nghiem1, Menas Kafatos2 and Boksoon Myoung2, (1)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, (2)Chapman University, CEESMO, Orange, CA, United States
Abstract:
Urban sprawl has created an extensive wildland-urban interface (WUI) where urban areas encroach well into the wilderness that is highly susceptible to wildfire danger. To monitor urbanization along WUI, an innovative approach based on the Dense Sampling Method with the Rosette Transform (DSM-RT) enables the use of satellite scatterometer data to obtain observations without gaps in time and in space at 1-km posting in the decade of the 2000s. To explain how the satellite signature processed with DSM-RT represents physical urban infrastructures, the case of the mega city of Los Angeles is presented with the DSM-RT satellite image overlaid on three-dimensional buildings and road network from the commercial and industrial core of the city to the residential suburb extended into the wild land. Then the rate of urban development in the 2000s in terms of physical urban infrastructure change, rather than the arbitrary boundary defined by administrative or legislative measures, for 14 cities along the San Gabriel Mountains in California are evaluated to rank the degree of urbanization along the local WUI, which may increase the probability of fire ignitions and fire impacts. Moreover, the Enhanced Vegetation Index (EVI) from the MODIS Aqua satellite is used to estimate live fuel moisture (LFM) conditions around the WUI to evaluate fire danger levels, which are consistent to the specific definition currently used by fire agencies in making real-life decisions for fire preparedness pro-actively before the fire occurrence. As an example, a map of EVI-derived LFM for the Colby Fire in 2014 showing a complex spatial pattern of LFM reduction along an extensive WUI illustrates satellite advantage in monitoring LFM over the vast wild land in Southern California. Since the method is based on global satellite data, it is applicable to regions prone to wildfires across the world.