Abstract
The US national fire danger rating System (NFDRS) generates daily estimates of fire potential throughout the United States. A key component of this system is the condition of live vegetation. Currently, there are no objective methods for determining vegetation condition. Inter-annual climatic variability causes the onset of spring green-up and fall leaf senescence to vary substantially from year-to-year. Therefore, methods used to assess live vegetation condition must be robust to these climatic changes. We present a system designed to integrate both remote sensing and surface weather-derived metrics of foliar greenness. This system provides two independent metrics that are meaningful representations of landscape level greenness responses and are suitable for use in verifying NFDRS greenup dates and greenness factors.
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Millinor, B. (2013). Creating a Crosswalk of Vegetation Types and Fire Fuel Models for the National Park Service. In: Qu, J.J., Sommers, W.T., Yang, R., Riebau, A.R. (eds) Remote Sensing and Modeling Applications to Wildland Fires. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32530-4_11
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DOI: https://doi.org/10.1007/978-3-642-32530-4_11
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