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Filters: Keyword is remote sensing  [Clear All Filters]
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Ferster CJ, Coops NC. Assessing the quality of forest fuel loading data collected using public participation methods and smartphones. International Journal of Wildland Fire. 2014;23.PDF icon WF13173.pdf (361.79 KB)
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Morgan P. Challenges of assessing fire and burn severity using field measures, remote sensing and modelling Keane RE, ed. International Journal of Wildland Fire. 2014;23. Available at: http://dx.doi.org/10.1071/WF13058.
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Singleton MP. Increasing trends in high-severity fire in the southwestern USA from 1984 to 2015 Thode AE, ed. Forest Ecology and Management. 2019;433.
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Bright BC. Landsat time series and lidar as predictors of live and dead basal area across five bark beetle-affected forests Hudak AT, ed. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2014;7(8). Available at: http://www.treesearch.fs.fed.us/pubs/49638.
Campbell MJ. A LiDAR-based analysis of the effects of slope, vegetation density, and ground surface roughness on travel rates for wildland firefighter escape route mapping Dennison PE, ed. International Journal of Wildland Fire. 2017;Online early.
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Davis RJ, Dugger KM, Mohoric S, Evers L, Aney WC. Northwest Forest Plan -- The First 15 Years: Status and Trends of Northern Spotted Owl Populations and Habitats. Portland, OR: US Department of Agriculture, Forest Service, Pacific Northwest Research Station; 2011:147. Available at: http://www.fs.fed.us/pnw/pubs/pnw_gtr850.pdf.
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Norman SP. Review of broad-scale drought monitoring of forests: Toward an integrated data mining approach Koch FH, ed. Forest Ecology and Management. 2016;380.