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Arjan Meddens

We established a Landsat-derived geospatial database of unburned islands within 2,298 fires across the Inland Northwestern US (including eastern Washington, eastern Oregon, and Idaho) from 1984-2014. The detection of unburned areas within these fires is based upon a classification tree approach that uses two pre- and post-fire Landsat image pairs (see Meddens et al 2016 for details). The data set consist of unburned patches within each fire that are two pixels or larger. This database will be useful for identifying fire refugia, seed sources, and can be used as an overall metric of fire impacts across the northwestern US. (Meddens, A.J., Kolden, C.A., & Lutz, J.A. (2016). Detecting unburned areas within wildfire...
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A Multi-Scale Decision Support Platform for Adaptive Management of Post-Fire Landscapes in the Inland Northwest
Climate change is contributing to an increase in wildfire activity in the western United States, including the Blue Mountains and Eastern Cascades Slopes and Foothills of the Inland Northwest. Some forest ecosystems are changing from forest to non-forest because of severe fires, a hot and dry climate, and/or the absence of a viable seed source. On sites impacted by wildfire, managers are tasked with maintaining timber value, wildlife, recreation, and cultural resources important to society. However, managers contend with multiple constraints in forest restoration. To address these constraints, a network of scientists and managers of the Blue Mountains and Eastern Cascades will co-develop a decision support platform...
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Composite Burn Index (CBI) Plot Data from 2015 field campiagn. These data are used in the detection of unburned areas using Landsat imagery, see for more info: Meddens, A. J., C. A. Kolden, and J. A. Lutz. 2016. Detecting unburned areas within wildfire perimeters using Landsat and ancillary data across the northwestern United States. Remote Sensing of Environment 186:275-285. Note that the data are entered into the jFiremon database management tool and outputted as a Microsoft Access database. Most plot locations are recorded in the UTM_zone11 with NAD83 datum, although some are recorded in zone 10. See spreadsheets for more info. A total of 380 plots were recorded.
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