Publications Library

Found 14 results
Filters: Keyword is remote sensing  [Clear All Filters]
2023
McClure CD, Pavlovic NR, Huang SM, Chaveste M, Wang N. Consistent, high-accuracy mapping of daily and sub-daily wildfire growth with satellite observations. International Journal of Wildland Fire. 2023.PDF icon Consistent, high-accuracy mapping of daily and sub-daily wildfire growth with satellite observations.pdf (3.77 MB)
Miller CW, Harvey BJ, Kane VR, L. Moskal M, Alvarado E. Different approaches make comparing studies of burn severity challenging: a review of methods used to link remotely sensed data with the Composite Burn Index. International Journal of Wildland Fire . 2023. Available at: https://www.publish.csiro.au/wf/pdf/WF22050.PDF icon Different approaches make comparing studies of burn severity challenging- a review of methods used to link remotely sensed data with the Composite Burn Index.pdf (2.49 MB)
Vorster AG, Stevens-Rumann C, Young N, et al. Metrics and Considerations for Evaluating How Forest Treatments Alter Wildfire Behavior and Effects. Journal of Forestry. 2023:1-18.PDF icon Metrics and considerations for eval forest treatments.pdf (1.47 MB)
Miller L, Zhu L, Yebra M, Rüdiger C, Webb GI. Projecting live fuel moisture content via deep learning. International Journal of Wildland Fire. 2023.PDF icon Projecting live fuel moisture content via deep learning.pdf (7.28 MB)
Krueger ES, Levi MR, Achieng KO, et al. Using soil moisture information to better understand and predict wildfire danger: a review of recent developments and outstanding questions. International Journal of Wildland Fire. 2023;32(2).PDF icon WF22056.pdf (3.84 MB)
2022
SurendraShresth , A.Williams C, Rogers BM, Rogan J, Kulakowski D. Wildfire controls on land surface properties in mixed conifer and ponderosa pine forests of Sierra Nevada and Klamath mountains, Western US. Agricultural and Forest Meteorology. 2022;320(108939).PDF icon Shrestha_2022_Agr and Forest Meteorology_Wildfire controls on land surface properties in mixed conifer and ponderosa pine forests of Sierra Nevada and Klamath mountains, Western US.pdf (9.76 MB)
2019
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.
2017
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.
2016
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.
2014
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)
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.
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.
2011
Dillon GK. Both topography and climate affected forest and woodland burn severity in two regions of the western US, 1984 to 2006 Holden ZA, ed. Ecosphere. 2011;2(12). Available at: https://www.fs.fed.us/rmrs/publications/both-topography-and-climate-affected-forest-and-woodland-burn-severity-two-regions.
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.