Precision Forestry Cooperative
About
The Precision Forestry Cooperative (PFC) was founded by the Washington State Legislature in 2000 to conduct pioneering research as part of the Washington State Advanced Technology Initiative at the University of Washington. At the time of its founding, the PFC was comprised of four research laboratories and one research group.
- Remote Sensing and Geospatial Analysis Laboratory (RSGAL)
- Fire Landscapes Adaptive Management & Ecology (FLAME)
- Forest Resilience Laboratory (FRL)
- Spatial Optimization Laboratory (SOL)
- Natural Resource Spatial Informatics Group (NRSIG)
The PFC fosters strong collaborations with the USDA Forest Service Pacific Northwest Research Station as well as the USGS. Through 2025, the PFC has an active advisory board comprised of people from the private, public, tribal and non-profit sectors.
Mission – development of advanced technology solutions to improve the quality & reliability of information needed for planning, implementation, monitoring and conservation of ecological resources, to ensure sustainable landscape outcomes on forests, wetlands, meadows and wildlife habitats.
Vision – engagement with technology, environmental, public & non-profit sectors in fulfillment of our mission. This vision encapsulates the PFC’s Strategic Priorities.
Research
We invite you to explore the PFC’s laboratory and group pages below.
Publications
2025
Schlickman, M.G., Bueno, I.T., Valle, D., Hammon, W.M., Prichard, S.J., Silva, C. et al. (2025). Statewide Forest Canopy Cover Mapping of Florida Using Synergistic Integration of Spaceborne LiDAR, SAR, and Optical Imagery. Remote Sensing 17: 320. 10.3390/rs17020320
Povak, N.A., Prichard, S.J., Hessburg, P.F., Griffey, V., Salter, R.B., Furniss, T.J., and Cova, G.R. (2025). Evidence for strong bottom-up controls on fire severity during extreme events. Fire Ecology 21:1-23. 10.1186/s42408-025-00368-1
Khatri-Chhetri, P., Andersen, H.E., Cook, B., Hendryx, S.M., van Wagtendonk, L. and Kane, V.R., (2025). Synthesizing field plot and airborne remote sensing data to enhance national forest inventory mapping in the boreal forest of Interior Alaska. Science of Remote Sensing, 11, p.100192. 10.1016/j.srs.2024.100192
Batchelor, J., A.T. Hudak, A. Kato D. Weise and L. M. Moskal, (2025). Drone Based, Multispectral Photogrammetric Point Clouds to Classify Fire Severity at Differing Canopy Height Strata. Forest Ecology, 10.2139/ssrn.4819373
Ganz, K, C. Still, B. Rastogi and L. M. Moskal, (2025). Overstory and understory leaves warm faster than air in evergreen needleleaf forests, Agricultural and Forest Meteorology 364 (2025) 110456, 10.1016/j.agrformet.2025.110456
Duncanson L, Hunka N, Jucker T, Armston J, Harris N, Fatoyinbo L, Williams CA, Atkins JW, Raczka B, Serbin S, Keller M, Dubayah R, Babcock C, Cochrane MA, Hudak A, Hurtt GC, Montesano PM, Moskal L.M., Park T, Saatchi S, Silva CA, Tang H, Vargas R, Weiskittel A, Wessels K, Goetz SJ.(2025). Spatial resolution for forest carbon maps. Science. Jan 24;387(6732):370-371. 10.1126/science.adt6811
2024
Bare, B., & S.F. Tóth, (2024). Symposia on Systems Analysis in Forest Resources: The 50th Year Anniversary (1975-2024). Mathematical & Computational Forestry & Natural Resource Sciences. 16(2): 33-49.
Constantino, M.F., M. Mesquitaa, S. Marques, S.F. Tóth & J.G. Borges, (2024). Road network, landing location, and routing optimization for forest smallholders landscapes. Intl. Trans. in Op. Res. 0(2024): 1-30. doi.org/10.1111/itor.13485
Khatri-Chhetri, P., van Wagtendonk, L., Hendryx, S.M. and Kane, V.R., (2024). Enhancing individual tree mortality mapping: The impact of models, data modalities, and classification taxonomy. Remote Sensing of Environment, 300, p.113914. 10.1016/j.rse.2023.113914
Winsemius, S., Babcock, C., Kane, V.R., Bormann, K.J., Safford, H.D., Jin, Y. (2024). What’s lost in the big picture? Improving aboveground biomass estimation in subalpine forests. Carbon Balance and Management. 19:41. 10.1186/s13021-024-00286-w
Chamberlain, C.P., Meigs, G.W., Churchill, D.J., Kane, J.T., Sanna, A., Begley, J.S., Prichard, S., Kennedy, M., Bienz, C. Haugo, R., Smith, A.C., Kane, V.R., Cansler, C.A. (2024). Learning from wildfires: a scalable framework to evaluate treatment effects on burn severity. Ecosphere. 2024;15:e70073. 10.1002/ecs2.70073
Chamberlain, C.P.; Bartl-Geller, B.; Cansler, C.A; North, M.P.; Meyer, M.D.; van Wagtendonk, L.; Redford, H.E.; Kane, V.R. (2024). When do contemporary wildfires restore forest structures in the Sierra Nevada? Fire Ecology. 20, 91. 10.1186/s42408-024-00324-5
Halofsky, J.S., Donato, D.C., Singleton, P.H., Churchill, D.J., Meigs, G.W., Gaines, W.L., Kane, J.T., Kane, V.R., Munzing, D., Hessburg, P. (2024). Reconciling species conservation and ecosystem resilience: Northern spotted owl habitat sustainability in a fire-dependent forest landscape. Forest Ecology and Management. 10.1016/j.foreco.2024.122072
Ma, X., Zheng, G., Xu, C. L. M. Moskal, et al., (2024). A global product of 150-m urban building height based on spaceborne lidar. Sci Data 11, 1387. 10.1038/s41597-024-04237-5
Stewart, A., Halabisky, M., Babcock, C., Butman, D., D’Amore, D., & Moskal, L. M. (2024). Cryptic carbon: The unmapped wet carbon stocks in coastal temperate rainforests. Nature Communications. 10.1038/s41467-024-44888-x
Gaines, W., Prichard, S. J., & Cova, G. (2024). From species protection to climate resiliency: Adapting the Northwest Forest Plan. White Paper. NWFP_Report
Constantino, M. F., Mesquita, M., Marques, S., Tóth, S. F., & Borges, J. G. (2024). Road network, landing location, and routing optimization for forest smallholders landscapes. International Transactions in Operational Research, 0(2024), 1-30. 10.1111/itor.13485
Eisenberg, C., Prichard, S. J., Hessburg, P., Nelson, M. P., et al. (2024). Braiding Indigenous and Western Knowledge for Climate-Adapted Forests: An Ecocultural State of Science Report. White Paper. Retrieved from adaptiveforeststewardship.org
Prichard, S.J., Rowell, E.M., Eagle, P.C., Cansler, C.A., Thoreson, T. & Nemens, D. 2024. Joint Fire Science Program Science Synthesis: Wildland Fuels and Fire Behavior. JFSP Final Report project 20S013
Germino, M. J., Price, S. J., & Prichard, S. J. (2024). Vegetation, fuels, and fire-behavior responses to linear fuel-break treatments in and around burned sagebrush steppe: Are we breaking the grass-fire cycle? Fire Ecology, 20(34). 10.1186/s42408-024-00266
Greenler, S. M., Lake, F. K., Tripp, W., McCovey, K., Tripp, A., Hillman, L., Dunn, C. J., Prichard, S. J., Hessburg, P. F., Harling, W., & Bailey, J. D. (2024). Blending Indigenous and western science: Quantifying cultural burning impacts in Karuk Aboriginal Territory. Ecological Applications, 34, e2973. 10.1002/eap.2973
Stoof, C., dVries, J., Castellnou Ribau, M., Fernández, M., Flores, D., Galarza, V., Kettridge, N., Lartey, D., Moore, P., Thacker, F., Prichard, S. J., Tersmette, P., Tuijtel, S., Verhaar, I., & Fernandes, P. (2024). Megafire: An ambiguous and emotive term best avoided by science. Global Ecology and Biogeography, 33, 341-351. 10.1111/geb.13791
2023
Chamberlain, C. P., Cova, G. R., Kane, V. R., Cansler, C. A., Kane, J. T., Bartl-Geller, B. N., van Wagtendonk, L., Jeronimo, S. M. A., Stine, P., & North, M. P. (2023). Sierra Nevada reference conditions: A dataset of contemporary reference sites and corresponding remote sensing-derived forest structure metrics for yellow pine and mixed-conifer forests. Data in Brief, 51, 109807. 10.2737/RDS-2023-0027
Cova, G. R., Prichard, S. J., Rowell, E., Drye, B., Eagle, P., Kennedy, M. C., & Nemens, D. G. (2023). Evaluating close-range photogrammetry for 3D understory fuel characterization. Remote Sensing, 15(19), 4837. 10.3390/rs15194837
Stewart, A., Halabisky, M., Babcock, C., Butman, D., D’Amore, D. V., & Moskal, L. M. (2023). Soil organic carbon and wetland intrinsic potential, Hoh River Watershed, WA, 2012-13. ORNL DAAC, Oak Ridge, Tennessee, USA. 10.3334/ORNLDAAC/2249
Povak, N. A., Salter, R. B., Hessburg, P. F., Gray, R. W., & Prichard, S. J. (2023). System-level feedbacks of active fire regimes in large landscapes. Fire Ecology, 19, 45. 10.1186/s42408-023-00197-0
Zheng, G., Yun, Z., Moskal, L. M., & Gong, P. (2023). Stratifying forest overstory and understory using the Global Ecosystem Dynamic Investigation (GEDI) laser scanning data. Journal of Applied Earth Observation and Geoinformation, 123, 103538. 10.1016/j.jag.2023.103538
Batchelor, J. A., Hudak, A., Gould, P., & Moskal, L. M. (2023). Terrestrial and airborne lidar to quantify shrub cover for Canada lynx (Lynx canadensis) habitat using machine learning. Remote Sensing, 15(18). 10.3390/rs15184434
Prichard, S. J., Salter, R. B., Hessburg, P. F., Povak, N. A., & Gray, R. W. (2023). The REBURN model: Simulating system-level forest succession and wildfire dynamics. Fire Ecology, 19, 38. 10.1186/s42408-023-00190-7
Halabisky, M., Miller, D., Stewart, A., Lorigan, D., Brasel, T., & Moskal, L. M. (2023). The wetland intrinsic potential tool: Mapping wetland intrinsic potential through machine learning of multi-scale remote sensing proxies of wetland indicators. Hydrology and Earth System Sciences, 27(20), 3687-3699. 10.5194/hess-27-3687-2023
Fingerman, K. R., Qiriazi, J., Barrientos, C. L., Blasdel, M., Comnick, J. M., Harris, A. R., Geronimo, C., Hsu, C.-W., Kane, J. M., Oneil, E., Rios-Romero, S., Rogers, L. W., Severy, M., & Wright, M. C. (2023). Climate and air pollution impacts of generating biopower from forest management residues in California. Environmental Research Letters, 18(3), 034038. 10.1088/1748-9326/acbd93
Kleydson, D. R., Silva, C. A., Consenza, D. N., Mohan, M., Klauberg, C., Schlickmann, M. B., Xia, J., Leite, R. V., Almeida, D., Atkis, J. W., Cardil, A., Rowell, E., Parsons, R., Sanchez-Lopez, N., Prichard, S. J., & Hudak, A. T. (2023). Crown-level structure and fuel load characterization from airborne and terrestrial laser scanning in a longleaf pine (Pinus palustris Mill.) forest ecosystem. Remote Sensing. 10.3390/rs15041002
Cullen, A. C., Prichard, S. J., Abatzoglou, J. T., Dolk, A., Kessenich, L., Bloem, S., Bukovsky, M. S., Humphrey, R., McGinnis, S., Skinner, H., & Mearns, L. O. (2023). Growing convergence research to co-produce climate and wildfire simultaneity information for proactive risk management. Risk Management. 10.1111/risa.14113
Lemons, R., Prichard, S. J., & Kerns, R. (2023). Fireline effectiveness across large wildfire events in north-central Washington State. Fire Ecology. 10.1186/s42408-023-00167-6
Khatri-Chhetri, P., van Wagtendonk, L., Hendryx, S. M., & Kane, V. R. (2023). Enhancing individual tree mortality mapping: The impact of models, data modalities, and classification taxonomy. Remote Sensing of Environment, 300, 113914. 10.1016/j.rse.2023.113914
Cova, G., Kane, V. R., Prichard, S. J., North, M., & Cansler, C. A. (2023). The outsized role of California’s largest wildfires in changing forest burn patterns and coarsening ecosystem scale. Forest Ecology and Management, 528, 120620. 10.1016/j.foreco.2022.120620
D’Evelyn, S. M., Blancas, M., Pollowitz, M., Haugo, R., Karboski, K., Lundgren, H., Masuda, Y. J., Prichard, S. J., Ray, K., Walker, E., & Spector, J. T. (2023). Mobilizing through dialogue: Building interdisciplinary partnerships among forest health, wildland fire, and public health sectors to find ways to address the impact of wildland fire smoke on communities. Environmental Research Communications, 5, 031004. 10.1088/2515-7620/acc014
Ferguson, M. C., Tóth, S. F., Clarke, J. T., Willoughby, A., Brower, A., & White, T. P. (2023). Biologically important areas for bowhead whales (Balaena mysticetus): Optimal site selection with integer programming. Frontiers of Marine Science. 10.3389/fmars.2023.961163
Batchelor, J. L., Rowell, E., Prichard, S. J., Nemans, D., Cronan, J., Kennedy, M. C., & Moskal, L. M. (2023). Quantifying forest litter fuel moisture content with terrestrial laser scanning. Remote Sensing, 15(6). 10.3390/rs15061482
Chamberlain, C. P., Cova, G. R., Cansler, C. A., North, M. P., Meyer, M. D., Jeronimo, S. M., & Kane, V. R. (2023). Consistently heterogeneous structures observed at multiple spatial scales across fire-intact reference sites. Forest Ecology and Management, 550, 121478. 10.1016/j.foreco.2023.121478
Qiao, Y., Zheng, G., Du, Z., Ma, X., Li, J., & Moskal, L. M. (2023). Tree species classification and individual tree biomass model construction based on hyperspectral and LiDAR data. Remote Sensing, 15(5). 10.3390/rs15051341
Milller, C., Harvery, B., Kane, V. R., Moskal, L. M., & Alvarado, E. (2023). 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. 10.1071/WF22050
Kane, V.R., Bartl-Geller, B.N., Cova, G.R., Chamberlain, C.P., van Wagtendonk, L., North, M.P. 2023. Where are the large trees? A census of Sierra Nevada large trees to determine their frequency and spatial distribution across three large landscapes. Forest Ecology and Management. Volume 546,2023,121351. 10.1016/j.foreco.2023.121351
Okasaki, C., Tóth, S. F., & Berdahl, A. M. (2023). Optimal sampling design under logistical constraints with mixed integer programming. arXiv:2302.05553 [stat.ME]. 10.48550/arXiv.2302.05553
2022
Pascual, A. & S.F. Tóth, (2022). Using mixed integer programming and airborne laser scanning to generate forest management units. J. For. Res. 33(2022): 217-226. doi.org/10.1007/s11676-021-01348-2
Comnick, J. M., Rogers, L. W., & Wheiler, K. (2022). Increasing mass timber consumption in the U.S. and sustainable timber supply. Sustainability, 14(1), 381. 10.3390/su14010381
Prichard, S. J., Keane, R., Rowell, E., Hudak, A., Loudermilk, E. A., Lutes, D., Chappell, L., Hornsby, B., Hall, J., & Ottmar, R. D. (2022). US Forest Service National Smoke Assessment: Fuels and Consumption. Springer.
Rowell, E., Prichard, S. J., Varner, M. J., & Shearman, T. M. (2022). Re-envisioning fire and vegetation feedbacks. In S. Goodrick & K. Speer (Eds.), Wildland Fire Dynamics. Cambridge University Press. 10.1017/9781108683241.006
Tóth, S. F., Oken, K. L., Stawitz, C. C., & Andersen, H.-E. (2022). Optimal survey design for forest carbon monitoring in remote regions using multi-objective mathematical programming. Forests, 13(7), 972. 10.3390/f13070972
Cansler, C. A., Kane, V. R., Bartl-Geller, B. N., Churchill, D. J., Hessburg, P. F., Povak, N. A., Lutz, J. A., Kane, J., & Larson, A. J. (2022). Postfire treatments alter forest canopy structure up to three decades after fire. Forest Ecology and Management, 505, 119872. 10.1016/j.foreco.2021.119872
Cansler, C. A., Kane, V. R., Hessburg, P. F., Kane, J. T., Jeronimo, S. M., Lutz, J. A., Povak, N. A., Churchill, D. J., & Larson, A. J. (2022). Previous wildfires and management treatments moderate subsequent fire severity. Forest Ecology and Management, 504, 119764. 10.1016/j.foreco.2021.119764
Halabisky, M., Miller, D., Stewart, A., Lorigan, D., Brasel, T., & Moskal, L. M. (2022). The wetland intrinsic potential tool: Mapping wetland intrinsic potential through machine learning of multi-scale remote sensing proxies of wetland indicators. EGUsphere. 10.5194/egusphere-2022-665
Yun, Z., Zheng, G., Geng, Q., Moskal, L. M., Wu, B., & Gong, P. (2022). Dynamic stratification for vertical forest structure using aerial laser scanning over multiple spatial scales. International Journal of Applied Earth Observation and Geoinformation, 114, 103040. 10.1016/j.jag.2022.103040
Campbell, A. D., Fatoyinbo, T., Charles, S. P., Bourgeau-Chavez, L. L., Goes, J., Gomes, H., Halabisky, M., Holmquist, J., Lohrenz, S., Mitchell, C., Moskal, L. M., Poulter, B., Qiu, H., De Sousa, C. H. R., Sayers, M., Simard, M., Stewart, A. J., Singh, D., Trettin, C., Wu, J., Zhang, X., & Lagomasino, D. (2022). A review of carbon monitoring in wet carbon systems. Environmental Research Letters, Special Issue on Carbon Monitoring Systems Research and Applications. 10.1088/1748-9326
Pascual, A., & Tóth, S. F. (2022). Using mixed integer programming and airborne laser scanning to generate forest management units. Journal of Forest Research, 33(2), 217-226. 10.1007/s11676-021-01348-2
Gaines, W., Hessburg, P., Aplet, G., Henson, P., Prichard, S. J., Churchill, D., Jones, G., Isaac, D. J., & Vynne, C. (2022). Climate change and the Northwest Forest Plan: Managing for dynamic landscapes. Forest Ecology and Management, 10.1016/j.foreco.2021.119794
Churchill, D. J., Jeronimo, S. M. A., Hessburg, P. F., Cansler, C. A., Povak, N. A., Kane, V. R., Lutz, J. A., & Larson, A. J. (2022). Post-fire landscape evaluations in Eastern Washington, USA: Assessing the work of contemporary wildfires. Forest Ecology and Management, 504, 119796. 10.1016/j.foreco.2021.119796
Larson, A. J., Jeronimo, S. M., Hessburg, P. F., Lutz, J. A., Povak, N. A., Cansler, C. A., Kane, V. R., & Churchill, D. J. (2022). Tamm review: Ecological principles to guide post-fire forest landscape management in the Inland Pacific and Northern Rocky Mountain regions. Forest Ecology and Management, 504, 119680. 10.1016/j.foreco.2021.119680
2021
Baker, K., Barnhart, B., Bova, A., Brookes, A., Djuang, K., Farris, C., Halama, J., Holder, A., Koplitz, S., McKane, R., Nguyen, T. K., Pasquale, R., Phan, V., Pouliot, G., Prichard, S. J., Skelly, D., Tarnay, L., & Vukovich. (2021). Air quality modeling of case study fires. In Comparative Assessment of the Impacts of Prescribed Fire Versus Wildfire (CAIF): A Case Study in the Western U.S. (Chapter 7). U.S. Environmental Protection Agency, Washington, DC, EPA/600/R-21/197
Du, Z., Zheng, G., Shen, G., & Moskal, L. M. (2021). Characterizing spatiotemporal variations of forest canopy gaps using aerial laser scanning data. International Journal of Applied Earth Observation and Geoinformation. 10.1016/j.jag.2021.102588
Barber, N., Alvarado, E., Moskal, L. M., Kane, V. R., & Mell, W. E. (2021). Estimating fuel moisture in grasslands using UAV-mounted infrared and visible light sensors. Sensors, 21(19). 10.3390/s21196350
Shoot, C., Andersen, H.-E., Moskal, L. M., Babcock, C., Cook, B., & Morton, D. (2021). Classifying forest type in the national forest inventory context from a fusion of hyperspectral and lidar data. Remote Sensing, 13(10). 10.3390/rs13101863
Hessburg, P. F., Prichard, S. J., Hagmann, R. K., Povak, N. A., & Lake, F. K. (2021). Wildfire and climate change adaptation of western North American forests: A case for intentional management. Ecological Applications, 31(8), e02432. 10.1002/eap.2432
Chamberlain, C. P., Kane, V. R., & Case, M. J. (2021). Accelerating the development of structural complexity: Lidar analysis supports restoration as a tool in coastal Pacific Northwest forests. Forest Ecology and Management, 500, 119641. 10.1016/j.foreco.2021.119641
Hagmann, R. K., Hessburg, P. F., Prichard, S. J., Povak, N. A., Brown, P. M., Fulé, P. Z., Keane, R. E., Knapp, E. E., Lydersen, J. M., Metlen, K. L., Reilly, M. J., Sánchez Meador, A. J., Stephens, S. L., Stevens, J. T., Taylor, A. H., Yocom, L. L., Battaglia, M. A., Churchill, D. J., Daniels, L. D., Falk, D. A., Henson, P., Johnston, J. D., Krawchuk, M. A., Levine, C. R., Meigs, G. W., Merschel, A. G., North, M. P., Safford, H. D., Swetnam, T. W., & Waltz, A. E. M. (2021). Evidence for widespread changes in the structure, composition, and fire regimes of western North American forests. Ecological Applications, 31(8), e02431. 10.1002/eap.2431
Prichard, S. J., Hessburg, P. F., Hagmann, R. K., Povak, N. A., Dobrowski, S. Z., Hurteau, M. D., Kane, V. R., Keane, R. E., Kobziar, L. N., Kolden, C. A., North, M., Parks, S. A., Safford, H. D., Stevens, J. T., Yocom, L. L., Churchill, D. J., Gray, R. W., Huffman, D. W., Lake, F. K., & Khatri-Chhetri, P. (2021). Adapting western North American forests to climate change and wildfires: 10 common questions. Ecological Applications, 31(8), e02433. doi.org/10.1002/eap.2433
Baker, K., Barnhart, B., Bova, A., Brookes, A., Djuang, K., Farris, C., Halama, J., Holder, A., Koplitz, S., McKane, R., Nguyen, T. K., Pasquale, R., Phan, V., Pouliot, G., Prichard, S. J., Skelly, D., Tarnay, L., & Vukovich. (2021). Air quality modeling of case study fires. In Comparative Assessment of the Impacts of Prescribed Fire Versus Wildfire (CAIF): A Case Study in the Western U.S. (Chapter 7). U.S. Environmental Protection Agency, Washington, DC, EPA/600/R-21/197
Kramer, H. A., Jones, G. M., Kane, V. R., Bartl-Geller, B., Kane, J. T., Whitmore, S. A., Berigan, W. J., Dotters, B. P., Roberts, K. N., Sawyer, S. C., & Keane, J. J. (2021). Elevational gradients strongly mediate habitat selection patterns in a nocturnal predator. Ecosphere, 12(5), e03500. 10.1002/ecs2.3500
Barnhart, B., Pettus, P., Halama, J., McKane, R., Mayer, P., Brookes, A., Djang, K., & Moskal, L. M. (2021). Modeling the hydrologic effects of watershed-scale green roof implementation in the Pacific Northwest, United States. Journal of Environmental Management, 277, 111418. 10.1016/j.jenvman.2020.111418
Khatri-Chhetri, P., Hendryx, S. M., Hartfield, K. A., Crimmins, M. A., van Leeuwen, W. J. D., & Kane, V. R. (2021). Assessing vegetation response to multi-scalar drought across the Mojave, Sonoran, and Chihuahua Deserts and Apache Highlands in Southwest United States. Remote Sensing, 13(6), 1103. 10.3390/rs13061103
Young, D. J., Jeronimo, S. M. A., Churchill, D. J., Kane, V. R., & Latimer, A. M. (2021). The utility of climatic water balance for ecological inference depends on vegetation physiology assumptions. Global Ecology and Biogeography, 30(5), 933-949. 10.1111/geb.13277
Griffey, V. S., Kellogg, B. S., Haugo, R. D., & Kane, V. R. (2021). Ownership patterns drive multi-scale forest structure patterns across a forested region in southern coastal Oregon, USA. Forests, 12(1), 47. 10.3390/f12010047
2020
Tóth, S.F. (2020). The 17th Symposium on Systems Analysis in Forest Resources: An Introduction and Synthesis. Forest Science 66(4):424-427. 10.1093/forsci/fxaa010
Bagaram, M. B., Tóth, S. F., Jaross, W. S., & Weintraub, A. (2020). A parallelized variable fixing process for solving multistage stochastic programs with progressive hedging. Advances in Operations Research, 2020, Article 8965679. 10.1155/2020/8965679
Bagaram, M. B., & Tóth, S. F. (2020). Multistage sample average approximation for harvest scheduling under climate uncertainty. Forests, 11(11), 1230. doi.org/10.3390/f11111230
Xu, Z., Zheng, G., & Moskal, L. M. (2020). Stratifying forest overstory for improving effective LAI estimation based on aerial imagery and discrete laser scanning data. Remote Sensing, 12(2126). 10.3390/rs12132126
Wang, X., Zheng, G., Yun, Z., Xu, Z., Moskal, L. M., & Tian, Q. (2020). Characterizing the spatial variations of forest sunlit and shaded components using discrete aerial lidar. Remote Sensing, 12(7), 1071. 10.3390/rs12071071
Kato, A., Thau, D., Hudak, A., Meigs, G., & Moskal, L. M. (2020). Quantifying fire trends in boreal forests with Landsat time series and self-organized criticality. Remote Sensing of Environment, 237, 111525. 10.1016/j.rse.2019.111525
Povak, N. A., Kane, V. R., Collins, B. M., Lydersen, J. M., & Kane, J. T. (2020). Multi-scaled drivers of severity patterns vary across land ownerships for the 2013 Rim Fire, California. Landscape Ecology, 35(2), 293-318. 10.1007/s10980-019-00947-z
Hudak, A. T., Fekety, P. A., Kane, V. R., Kennedy, R. E., Domke, G. M., Filippelli, S. K., Falkowski, M. J., Smith, A. M. S., Tinkham, W. T., Crookston, N. L., Corrao, M., Bright, B. C., Churchill, D. J., Kane, J. T., McGaughey, R. J., Dong, J., & Gould, P. (2020). A carbon monitoring system for mapping regional, annual aboveground biomass across the northwestern USA. Environmental Research Letters, 15(9), 095003. 10.1088/1748-9326/ab93f9
Povak, N. A., Churchill, D. J., Cansler, C. A., Hessburg, P. F., Kane, V. R., Kane, J. T., Lutz, J. A., & Larson, A. J. (2020). Wildfire severity and post-fire salvage harvest effects on long-term forest regeneration. Ecosphere, 11(3), e03199. 10.1002/ecs2.3199
LeFevre, M. E., Churchill, D. J., Larson, A. J., Jeronimo, S. M. A., Bass, J., Franklin, J. F., & Kane, V. R. (2020). Evaluating restoration treatment effectiveness through a comparison of residual composition, structure, and spatial pattern with historical reference sites. Forest Science. 10.1093/forsci/fxaa014
Moran, C., Kane, V. R., & Seielstad, C. (2020). Mapping forest canopy fuels of the western US with LiDAR-Landsat covariance. Remote Sensing, 12(6), 1000. 10.3390/rs12061000
Kramer, R. D., Stillett, S. C., Kane, V. R., & Franklin, J. F. (2020). Disturbance and species composition drive canopy structure and distribution of large trees in Olympic rainforests, USA. Landscape Ecology. 10.1007/s10980-020-01003-x
Jeronimo, S. M. A., Lutz, J. A., Kane, V. R., Larson, A. J., & Franklin, J. F. (2020). Modeling tree death in a landscape context: Structural drivers of immediate and delayed fire mortality. Landscape Ecology. 10.1007/s10980-020-00983-0
Furness, T. J., Kane, V. R., Larson, A. J., & Lutz, J. A. (2020). Detecting actual tree mortality with satellite-derived spectral indices and estimating landscape-level uncertainty. Remote Sensing of Environment, 237, 111497. 10.1016/j.rse.2019.111497
Furness, T., Larson, A., Kane, V. R., & Lutz, J. (2020). Fire and the spatial elements of tree mortality. Ecosphere, 11(3), e03199. 10.1002/ecs2.3214
Cansler, C. A., Hood, S. M., Varner, J. M., van Mantgem, P. J., Agne, M. C., Andrus, R. A., Ayres, M. P., Ayres, B. D., Bakker, J. D., Battaglia, M. A., Bentz, B. J., Breece, C. R., Brown, J. K., Cluck, D. R., Coleman, T. W., Corace III, R. G., Covington, W. W., Cram, D. S., Cronan, J. B., Crouse, J. E., Das, A. J., Davis, R. S., Dickinson, D. M., Fitzgerald, S. A., Fulé, P. Z., Ganio, L. M., Grayson, L. M., Halpern, C. B., Hanula, J. L., Harvey, B. J., Hiers, J. K., Huffman, D. W., Keifer, M., Keyser, T. L., Kobziar, L. N., Kolb, T. E., Kolden, C. A., Kopper, K. E., Kreitler, J. R., Kreye, J. K., Latimer, A. M., Lerch, A. P., Lombardero, M. J., McDaniel, V. L., McHugh, C. W., McMillin, J. D., Moghaddas, J. J., O’Brien, J. J., Perrakis, D. D. B., Peterson, D. W., Prichard, S. J., Progar, R. A., Raffa, K. F., Reinhardt, E. D., Restaino, J. C., Roccaforte, J. P., Rogers, B. M., Ryan, K. C., Safford, H. D., Santoro, A. E., Shearman, T. M., Shumate, A. M., Sieg, C. H., Smith, S. L., Smith, R. J., Stephenson, N. L., Stuever, M., Stevens, J. T., Stoddard, M. T., Thies, W. G., Vaillant, N. M., Weiss, S. A., Westlind, D. J., Woolley, T. J., & Wright, M. C. (2020). The fire and tree mortality database for empirical modeling of individual tree mortality after fire. Scientific Data, 7, 194. 10.1038/s41597-020-0522-7
Coop, J. D., Parks, S. A., Stevens-Rumann, C. S., Crausbay, S., Higuera, P. E., Hurteau, M. D., Tepley, A., Whitman, E., Assal, T., Collins, B. M., Davis, K. T., Dobrowski, S., Falk, D. A., Fornwalt, P. J., Fulé, P. Z., Harvey, B. J., Kane, V. R., Littlefield, C. E., Margolis, E. Q., North, M., Parisien, M.-A., Prichard, S. J., & Rodman, K. C. (2020). Wildfire-driven forest conversion in western North American landscapes. BioScience, 70(8), 659-673. 10.1093/biosci/biaa061
Kennedy, M. C., Prichard, S. J., McKenzie, D., & French, N. K. (2020). Quantifying how sources of uncertainty in combustible biomass propagate to prediction of wildfire emissions. International Journal of Wildland Fire, 29(7), 793-806. 10.1071/WF19160
Prichard, S. J., Povak, N., Kennedy, M. C., & Peterson, D. W. (2020). Fuel treatment effectiveness following the 2014 Carlton Complex Fire in semi-arid forests of north-central Washington State. Ecological Applications, 30(5), e02104. 10.1002/eap.2104
Hudak, A. T., Kato, A., Bright, B. C., Loudermilk, E. L., Ottmar, R. D., Hawley, C., Prichard, S. J., Rowell, E. M., Restaino, J., Axe, T., & Hayakawa, Y. (2020). Towards spatially explicit estimation of pre- and post-fire fuels and fuel consumption from traditional and point cloud measurements. Journal of Forestry. 10.1093/forsci/fxz085
Prichard, S. J., O’Neill, S. M., Urbanski, S., Eagle, P., Andreu, A., & Drye, B. (2020). Wildland fire emissions factors in North America: Summary of existing datasets, measurement needs, and management applications. International Journal of Wildland Fire, 29(1), 10-24. 10.1071/WF19066
2019
Barton, I., Czimber, K., Király, G., & Moskal, L. M. (2019). Faállomány-típusok térképezése Sentinel-2 űrfelvétel idősorozaton Deep Learning osztályozóval [Forest type mapping using Sentinel-2 time series with Deep Learning classifier]. In G. Király & F. Facskó (Eds.), Soproni Egyetem Erdőmérnöki Kar VII. Kari Tudományos Konferencia: Konferencia Kiadvány (pp. 41-47). Soproni Egyetem Kiadó.
Blomdahl, E. M., Thompson, C. M., Kane, J. R., Kane, V. R., Churchill, D., Moskal, L. M., & Lutz, J. A. (2019). Forest structure predictive of fisher (Pekania pennanti) dens exists in recently burned forest in Yosemite, California, USA. Forest Ecology and Management, 454, 117659. 10.1016/j.foreco.2019.04.024
Hessburg, P. F., Miller, C. L., Parks, S. A., Povak, N. A., Taylor, A. H., Higuera, P. E., Prichard, S. J., North, M. P., Collins, B. M., Hurteau, M. D., Larson, A. J., Allen, C. J., Stephens, S. L., et al. (2019). Climate, environment, and disturbance history govern resilience of western North American forests. Frontiers in Ecology and Evolution, 7, 239. 10.3389/fevo.2019.00239
Kato, A., Wakabayashi, H., Bradford, M., Hudak, A., Moskal, L. M., & Watanabe, M. (2019). Accurate ground positioning obtained from 3D data matching between airborne and terrestrial data for ground validation of satellite laser. In IEEE IGARSS 2019 (pp. 8898335). Yokohama, Japan. 10.1109/IGARSS.2019.8898335
Kane, V. R., Bartl-Geller, B. N., Kane, J. T., Jeronimo, S. M. A., North, M. P., Collins, B., Lydersen, J., & Moskal, L. M. (2019). First-entry fires can create forest tree clump and opening patterns characteristic of historic resilient forests. Forest Ecology and Management, 454, 117659. 10.1016/j.foreco.2019.04.024
Kato, A., Moskal, L. M., Batchelor, J. L., Thau, D., & Hudak, A. A. (2019). Relationship between satellite-based spectral burn ratios and terrestrial laser scanning. Forests, 10(5), 444. 10.3390/f10050444
Liu, Y., Kochanski, A. K., Baker, K. R., Mell, W., Linn, R., Paugam, R., Mandel, J., Fournier, A., Jenkins, M. A., Goodrick, S., Achtemeier, G., Zhao, F., Ottmar, R., French, N., Larkin, N., Brown, T., Hudak, A., Dickinson, M., Potter, B., Clements, C., Urbanski, S., Prichard, S. J., Watts, A., & McNamara, D. (2019). Fire behavior and smoke modeling: Model improvement and measurement needs for next-generation smoke research and forecasting systems. International Journal of Wildland Fire, 28(6), 570-588. 10.1071/WF18204
Macriss, N., Furniss, T. J., Jeronimo, S. M. A., Crowley, E. L., Germain, O. W., Germain, S., Kane, V. R., Larson, A. J., & Lutz, J. A. (2019). Data for tree mortality calibration of satellite and LiDAR-derived fire severity estimates. Utah State University. 10.26078/JSZ1-3980
Moran, C., Kane, V. R., & Seielstad, C. (2019). Mapping forest canopy fuels of the western US with LiDAR-Landsat covariance. Remote Sensing, 12(6), 1000. 10.3390/rs12061000
Picotte, J. J., Arkle, R. S., Bastian, H., Benson, H., Cansler, C. A., Caprio, T., Dillon, G., Key, C. H., Klein, R. N., Kopper, K., Meddens, A., Ohlen, D., Parks, S. A., Peterson, D. W., Pilliod, D. C., Prichard, S. J., Robertson, K. M., Sparks, A. M., & Thode, A. E. (2019). Composite burn index (CBI) data for the conterminous US collected between 1996 and 2018. U.S. Geological Survey. 10.5066/P91BH1BZ
Prichard, S. J., Kennedy, M. C., Andreu, A. G., Eagle, P. C., & French, N. H. (2019). Next-generation biomass mapping for regional emissions and carbon inventories: Incorporating uncertainty in wildland fuel characterization. Journal of Geophysical Research: Biogeosciences. 10.1029/2019JG005083
Prichard, S. J., Larkin, N. S., Ottmar, R., French, N. H. F., Baker, K., Brown, T., Clements, C., Dickinson, M., Hudak, A., Kochanski, A., Linn, R., Liu, Y., Potter, B., Mell, W., Tanzer, D., Urbanski, S., & Watts, A. (2019). The Fire and Smoke Model Evaluation Experiment—A plan for integrated, large fire–atmosphere field campaigns. Atmosphere, 10(2), 66. 10.3390/atmos10020066
Richardson, J. C., Torgersen, J. C., & Moskal, L. M. (2019). LiDAR-based modeling approaches for estimating solar insolation in heavily forested streams. Hydrology and Earth System Sciences. 10.5194/hess-2018-487
2018
Bell, D. M., Gregory, M. J., Kane, V. R., Kane, J., Kennedy, R. E., Roberts, H. M., & Yang, Z. (2018). Multiscale divergence between Landsat- and lidar-based biomass mapping is related to regional variation in canopy cover and composition. Carbon Balance and Management, 13(15). 10.1186/s13021-018-0104-6
Halabisky, M., Babcock, C., & Moskal, L. M. (2018). Harnessing the temporal dimension to improve object-based image analysis classification of wetlands. Remote Sensing, 10(9), 1467. 10.3390/rs10091467
Jeronimo, S. M. A., Kane, V. R., McGaughey, R. J., Churchill, D. J., & Franklin, J. F. (2018). Applying LiDAR individual tree detection to management of structurally diverse forest landscapes. Journal of Forestry, 116(4), 336-346. 10.1093/jofore/fvy023
Kennedy, R. E., Ohmann, J., Gregory, M., Yang, Z., Bell, D., Kane, V. R., Hughes, M. J., Cohen, W., Powell, S., Meeti, N., Larrue, T., Hooper, S., Kane, J. T., Miller, D., Perkins, J., & Seidl, R. (2018). An empirical, integrated forest carbon monitoring system. Environmental Research Letters, 13(2), 025004. 10.1088/1748-9326/aa9d9e
Ross, K., Tóth, S. F., & Jaross, W. (2018). Forest harvest scheduling with endogenous costs. Interfaces, 48(3), 260-270. 10.1287/inte.2017.0926
St. John, R., Tóth, S. F., & Zabinsky, Z. (2018). Optimizing the geometry of wildlife corridors in conservation reserve design. Operations Research, 66(6), 1457-1759. 10.1287/opre.2018.1758
Walker, L., Marzluff, J., Metz, M., Wirsing, A., Moskal, L. M., Stahler, D., & Smith, D. (2018). Population responses of common ravens to reintroduced gray wolves. Ecology and Evolution, 8(22), 11158-11168. 10.1002/ece3.4583
Vahidi, H., Klinkenburg, B., Johnson, B., Moskal, L. M., & Yan, W. (2018). Mapping the individual trees in urban orchards by incorporating volunteered geographic information and very high-resolution optical remotely sensed data: A template matching-based approach. Remote Sensing, 10(7), 1134. 10.3390/rs10071134
2017
Johnston, A., & Moskal, L. M. (2017). High-resolution habitat modeling with airborne LiDAR for red tree voles. Journal of Wildlife Management and Wildlife Monographs, 81(1), 58-72. 10.1002/jwmg.211
Lydersen, J. M., Collins, B. M., Brooks, M. L., Matchett, J. R., Shive, K. L., Povak, N. A., Kane, V. R., & Smith, D. F. (2017). Evidence of fuels management and fire weather influencing fire severity in an extreme fire event. Ecological Applications, 27, 2013-2030. 10.1002/eap.1586
Ma, L., Zheng, G., Eitel, J., Magney, T. S., & Moskal, L. M. (2017). Retrieving forest canopy extinction coefficient from terrestrial and airborne lidar. Agricultural and Forest Meteorology, 236, 1-21. 10.1016/j.agrformet.2017.01.004
North, M. P., Kane, J. T., Kane, V. R., Asner, G. A., Berigan, W., Churchill, D. J., Conway, S., Gutierrez, R. J., Jeronimo, S., Keane, J., Koltunov, A., Mark, T., Moskal, L. M., Muton, T., Peery, Z., Ramirez, C., Sollman, R., White, A. M., & Whitmore, S. (2017). Cover of tall trees best predicts California spotted owl habitat. Forest Ecology and Management, 405, 166-178. 10.1016/j.foreco.2017.09.019
Shyrock, B., Marzluff, J., & Moskal, L. M. (2017). Urbanization alters the influence of weather and an index of forest productivity on avian community richness and guild abundance in the Seattle metropolitan area. Frontiers in Ecology and Evolution, 5(40), 14p. 10.3389/fevo.2017.00040
Zheng, G., Ma, L., Eitel, J., He, W., Magney, T. S., Moskal, L. M., & Li, M. (2017). Retrieving directional gap fraction, extinction coefficient, and effective leaf area index by incorporating scan angle information from discrete aerial lidar data. IEEE Transactions of Geosciences and Remote Sensing, 55(1), 577-590. 10.1109/TGRS.2016.2611651
2016
Halabisky, M., Moskal, L. M., Gillespie, A., & Hannam, M. (2016). Reconstructing semi-arid wetland surface water dynamics through spectral mixture analysis of a time series of Landsat satellite images (1984–2011). Remote Sensing of Environment, 177, 171-183. 10.1016/j.rse.2016.02.040
Kushch, S. A., Tóth, S. F., Deal, R., & Ettl, G. J. (2016). Multi-objective optimization to evaluate tradeoffs among forest ecosystem services following fire hazard reduction in the Deschutes National Forest, USA. Ecosystem Services, 22, 328-347. 10.1016/j.ecoser.2016.08.006
Ma, L., Zheng, G., Eitel, J., Moskal, L. M., He, W., & Huang, H. (2016). Improved salient feature-based approach for automatically separating photosynthetic and nonphotosynthetic components within terrestrial lidar point cloud data of forest canopies. IEEE Transactions on Geoscience and Remote Sensing, 54(2), 679-696. 10.1109/TGRS.2015.2459716
Ma, L., Zheng, G., Eitel, J., Magney, T., & Moskal, L. M. (2016). Determining woody-to-total area ratio using terrestrial laser scanning (TLS). Agricultural and Forest Meteorology, 228-229, 217-228. 10.1016/j.agrformet.2016.06.021
McDill, M. E., Tóth, S. F., St. John, R., Braze, J., & Rebain, S. A. (2016). Comparing Model I and Model II formulations of spatially-explicit harvest scheduling models with adjacency constraints. Forest Science, 62(1), 28-37. 10.5849/forsci.14-179
Richardson, J., & Moskal, L. M. (2016). An integrated approach for monitoring contemporary and recruitable large woody debris. Remote Sensing, 8(9), 778. 10.3390/rs8090778
Richardson, J., & Moskal, L. M. (2016). Urban food crop production capacity and competition with the urban forest. Urban Forestry and Urban Greening, 15, 58-64. 10.1016/j.ufug.2015.10.006
Ross, K., & Tóth, S. F. (2016). A model for managing edge effects in harvest scheduling using spatial optimization. Scandinavian Journal of Forest Research, 37(1), 346-354. 10.1080/02827581.2016.1213877
Roesch-McNally, G., Rabotyagov, S. S., Tyndall, J., Ettl, G. J., & Tóth, S. F. (2016). Auctioning the forest: A qualitative approach to exploring stakeholder responses to bidding on forest ecosystem services. Small-Scale Forestry, 15(3), 321-333. 10.1007/s11842-016-9327-0
St. John, R., Öhm, K., Tóth, S. F., Sandström, P., Korosuo, A., & Eriksson, L. O. (2016). Combining spatiotemporal corridor design for reindeer migration with harvest scheduling in northern Sweden. Scandinavian Journal of Forest Research, 37(1), 355-363. 10.1080/02827581.2016.1195441
Stavros, E. N., Tane, Z., Kane, V. R., Veraverbeke, S., McGaughey, R. J., Lutz, J. A., & Ramirez, C. (2016). Unprecedented remote sensing data from before and after California King and Rim Megafires. Ecology, 97, 3244. 10.1002/ecy.1577
Zheng, G., Ma, L. X., He, W., Eitel, J. U. H., Moskal, L. M., & Zhang, Z. Y. (2016). Assessing the contribution of woody materials to forest angular gap fraction and effective leaf area index using terrestrial laser scanning (TLS) data. IEEE Transactions on Geoscience and Remote Sensing, 54(3), 1474-1484. 10.1109/TGRS.2015.2481492
Zhang, Z., Kazakova, A., Moskal, L. M., Styers, D., & Vaughn, N. (2016). Object-based tree species classification in urban ecosystems using LiDAR and hyperspectral data. Forests, 7(6), 122-138. 10.3390/f7060122
2015
Hannam, M., & Moskal, L. M. (2015). Terrestrial laser scanning reveals seagrass microhabitat structure on a tideflat. Remote Sensing, 7(3), 3037-3055. 10.3390/rs70303037
Kane, V. R., Cansler, C. A., Povak, N. A., Kane, J. T., McGaughey, R. J., Lutz, J. A., Churchill, D. J., & North, M. P. (2015). Mixed severity fire effects within the Rim Fire: Relative importance of local climate, fire weather, topography, and forest structure. Forest Ecology and Management, 358, 62-79. 10.1016/j.foreco.2015.09.001
Kane, V. R., Lutz, J. A., Cansler, C. A., Povak, N. A., Churchill, D. J., Smith, D. F., Kane, J. T., & North, M. P. (2015). Water balance and topography predict fire and forest structure patterns. Forest Ecology and Management, 338, 1-13. 10.1016/j.foreco.2014.10.038
St. John, R., & Tóth, S. F. (2015). Spatially-explicit forest harvest scheduling with difference equations. Annals of Operations Research, 232(1), 235-257. 10.1007/s10479-012-1301-4
Bandaru, V., Parker, N., Hart, Q., Jenner, M., Yeo, B., Crawford, J., Li, Y., Tittmann, P., Rogers, L., Kaffka, S., & Jenkins, B. (2015). Economic sustainability modeling provides decision support for assessing hybrid poplar-based biofuel development in California. California Agriculture, 69(3), 171-176. 10.3733/ca.v069n03p171
2014
Hermosilla, T., Coops, N. C., Ruiz, L. A., & Moskal, L. M. (2014). Deriving pseudo-vertical waveforms from small-footprint full-waveform LiDAR data. Remote Sensing Letters, 5(4), 332-341. 10.1080/2150704X.2014.903350
Kane, V. R., North, M. P., Lutz, J. A., Churchill, D. J., Roberts, S. L., Smith, D. F., McGaughey, R. J., Kane, J. T., & Brooks, M. L. (2014). Assessing fire effects on forest spatial structure using a fusion of Landsat and airborne LiDAR data in Yosemite National Park. Remote Sensing of Environment, 151, 89-101. 10.1016/j.rse.2013.07.041
Kling, C. L., Panagopoulos, Y., Rabotyagov, S. S., Valcu, A. M., Gassman, P. A., Campbell, T., White, M. J., Arnold, J. A., Srinivasan, R., Jha, M. J., Richardson, J. J., Moskal, L. M., Turner, R. E., & Rabalais, N. N. (2014). LUMINATE: Linking agricultural land use, local water quality and Gulf of Mexico hypoxia. European Review of Agricultural Economics, 41(3), 431-459. 10.1093/erae/jbu009
Könnyű, N., Tóth, S. F., McDill, M. E., & Rajasekaran, B. (2014). Temporal connectivity of mature patches in forest planning models. Forest Science, 60(6), 1089-1099. 10.5849/forsci.12-112
Richardson, J. J., Moskal, L. M., & Bakker, J. D. (2014). Terrestrial laser scanning for vegetation sampling. Sensors, 14(11), 20304-20319. 10.3390/s141120304
Richardson, J. J., & Moskal, L. M. (2014). Assessing the utility of green LiDAR for characterizing bathymetry of heavily forested narrow streams. Remote Sensing Letters, 5(4), 352-357. 10.1080/2150704X.2014.902545
Styers, D. L., Moskal, L. M., Halabisky, M., & Richardson, J. J. (2014). Evaluation of the contribution of LiDAR data and post-classification procedures to object-based classification accuracy. Journal of Applied Remote Sensing, 8, 083674. 10.1117/1.JRS.8.083529
2013
Moskal, L. M. (Ed.). (2013). Special issue on LiDAR and other remote sensing applications in mapping and monitoring of forests structure and biomass. Forests. ISSN 1999-4907; 20 papers.
Burns, E. S., Tóth, S. F., & Haight, R. G. (2013). A modeling framework for life history-based conservation planning. Biological Conservation, 158(1), 14-25. 10.1016/j.biocon.2012.08.009
Hermosilla, T., Ruiz, L., Kazakova, A., Coops, N., & Moskal, L. M. (2013). Estimation of forest structure and canopy fuel parameters from small-footprint full-waveform LiDAR data. International Journal of Wildland Fire, 23, 224-233. 10.1071/WF13086
Kane, V. R., Lutz, J. A., Roberts, S. L., Smith, D. F., McGaughey, R. J., Povak, N. A., & Brooks, M. L. (2013). Landscape-scale effects of fire severity on mixed-conifer and red fir forest structure in Yosemite National Park. Forest Ecology and Management, 291, 442-457. 10.1016/j.foreco.2012.08.044
Könnyű, N., & Tóth, S. F. (2013). A cutting plane method for solving harvest scheduling models with area restrictions. European Journal of Operational Research, 228(1), 236-248. 10.1016/j.ejor.2013.01.020
Moskal, L. M., & Jakubauskas, M. (2013). Monitoring post-disturbance forest regeneration with hierarchical object-based image analysis. Forests, 4(4), 808-829. 10.3390/f4040808
Halabisky, M., Hannam, M., Long, A. L., Vondrasek, C., & Moskal, L. M. (2013). The sharper image: Hyperspatial remote sensing in wetland science. Wetland Science and Practice, June Issue, 10p. 273886556
Passolt, G., Fix, M. J., & Tóth, S. F. (2013). A Voronoi tessellation-based approach to generate hypothetical forest landscapes. Canadian Journal of Forest Research, 43(1), 78-89. 10.1139/cjfr-2012-0265
Rabotyagov, S. S., Tóth, S. F., & Ettl, G. J. (2013). Testing the design variables of ECOSEL: A market mechanism for forest ecosystem services. Forest Science, 59(3), 303-321. 10.5849/forsci.11-110
Richardson, J., & Moskal, L. M. (2013). Uncertainty in urban forest canopy assessment: Lessons from Seattle, WA, USA. Urban Forestry & Urban Greening, 13(1), 152-157. 10.1016/j.ufug.2013.07.003
Tóth, S. F., Ettl, G. J., Könnyű, N., Rabotyagov, S. S., Rogers, L. W., & Comnick, J. M. (2013). ECOSEL: Multi-objective optimization to sell forest ecosystem services. Forest Policy and Economics, 35, 73-82. 10.1016/j.forpol.2013.06.011
Tóth, S. F., McDill, M. E., Könnyü, N., & George, S. (2013). Testing the use of lazy constraints in solving area-based adjacency formulations of harvest scheduling models. Forest Science, 59(2), 157–176. 10.5849/forsci.11-040
2012
Moskal, L. M., & Richardson, J. J. (2012). Delineating and classifying forest stands based on three-dimensional structure and pattern. ForestSat2012, Corvallis, OR.
Halabisky, M., & Moskal, L. M. (2012). Using LiDAR and object-based image analysis to map wetlands in Mt. Rainier National Park. 97th ESA Annual Convention 2012.
Moskal, L. M., & Zheng, G. (2012). Retrieving forest inventory variables with terrestrial laser scanning (TLS) in urban heterogeneous forest. Remote Sensing, 4(1), 1-20. 10.3390/rs4010001
Rabotyagov, S. S., Tóth, S. F., & Ettl, G. J. (2012). Testing the design variables of ECOSEL: A market mechanism for forest ecosystem services. Forest Science, 59(3), 303-321. 10.5849/forsci.11-110
Tóth, S. F., McDill, M. E., Könnyű, N., & George, S. (2012). A strengthening procedure for the path formulation of the area-based adjacency problem in harvest scheduling models. Mathematical and Computational Forestry & Natural-Resource Sciences, 4(1), 16-38. ISSN 1946-7664.MCFNS 2012
Vaughn, N. R., Moskal, L. M., & Turnblom, E. C. (2012). Tree species detection accuracies using discrete point LiDAR and airborne waveform LiDAR. Remote Sensing, 4(2), 377-403. 10.3390/rs4020377
Zheng, G., Moskal, L. M., & Kim, S.-H. (2012). Retrieval of effective leaf area index in heterogeneous forests with terrestrial laser scanning. IEEE Transactions on Geoscience and Remote Sensing, 50(10), 3958-3969. 10.1109/TGRS.2012.2205003
Zheng, G., & Moskal, L. M. (2012). Computational-geometry-based retrieval of effective leaf area index using terrestrial laser scanning. IEEE Transactions on Geoscience and Remote Sensing, 50(10), 12p. 10.1109/TGRS.2012.2187907
Zheng, G., & Moskal, L. M. (2012). Leaf orientation retrieval from terrestrial laser scanning data. IEEE Transactions on Geoscience and Remote Sensing, 50(10), 10p. 10.1109/TGRS.2012.2188533
Zheng, G., & Moskal, L. M. (2012). Spatial variability of terrestrial laser scanning based leaf area index. International Journal of Applied Earth Observation and Geoinformation, 19, 226-237. 10.1016/j.jag.2012.05.002
2011
Tóth, S. F., Haight, R. G., & Rogers, L. W. (2011). Dynamic reserve selection: Optimal land retention with land-price feedbacks. Operations Research, 59(5), 1059-1078. 10.1287/opre.1110.0977
Halabisky, M., Moskal, L. M., & Hall, S. A. (2011). Object-based classification of semi-arid wetlands. Journal of Applied Remote Sensing, 5(05351), 13 pages. 10.1117/1.3563569
Kane, V. R., Gersonde, R., Lutz, J. A., McGaughey, R. J., Bakker, J. D., & Franklin, J. F. (2011). Patch dynamics and development of structural and spatial heterogeneity in Pacific Northwest forests. Canadian Journal of Forest Research, 41, 2276-2291. 10.1139/x11-128
Kim, S., Hinckley, T., & Briggs, D. (2011). Classifying individual tree genera using stepwise cluster analysis based on height and intensity metrics derived from airborne laser scanner data. Remote Sensing of Environment, 115(12), 3329-3342. 10.1016/j.rse.2011.07.016
Moskal, L. M., Styers, D. M., & Halabisky, M. (2011). Monitoring urban tree cover using object-based image analysis and public domain remotely sensed data. Remote Sensing, 3(10), 2243-2262. 10.3390/rs3102243
Moskal, L. M., & Zheng, G. (2012). Retrieving forest inventory variables with terrestrial laser scanning (TLS) in urban heterogeneous forest. Remote Sensing, 4(1), 1-20. 10.3390/rs4010001
Richardson, J. J., & Moskal, L. M. (2011). Strengths and limitations of assessing forest density and spatial configuration with aerial LiDAR. Remote Sensing of Environment, 115(10), 2640-2651. 10.1016/j.rse.2011.05.020
Vaughn, N., Moskal, L. M., & Turnblom, E. (2011). Fourier transformation of waveform LiDAR for species recognition. Remote Sensing Letters, 2(4), 347-356. 10.1080/01431161.2010.523021
2010
Vaughn, N. R., Moskal, L. M., & Turnblom, E. C. (2010). Fourier transformation of waveform LiDAR for species recognition. Remote Sensing Letters, 2(4), 347-356. 10.1080/01431161.2010.523021
Kato, A., Kobayashi, T., Moskal, L.M., Schiess, P., & Calhoun, D. (2010). Certification of carbon credit using airborne LiDAR. In CD Proceedings of SilviLaser 2010, Freiburg, Germany; 14p. pdf
Kato, A., Moskal, L.M., Schiess, P., Swanson, M.E., & Calhoun, D. (2010). True orthophoto creation through fusion of LiDAR derived digital surface model and aerial photos. Digital Proceedings of ISPRS Commission VII Symposium 2010, Vienna, Austria; 14p. pdf
Erdody, T., & Moskal, L. M. (2010). Fusion of LiDAR and imagery for estimating forest canopy fuels. Remote Sensing of Environment, 114(4), 725-737. 10.1016/j.rse.2009.11.002
Kane, V.R., Bakker, J.D., McGaughey, R.J., Lutz, J.A., Gersonde, R., & Franklin, J.F. (2010). Examining conifer canopy structural complexity across forest ages and elevations with LiDAR data. Canadian Journal of Forest Research, 40, 774-787. 10.1139/X10-064
Kane, V.R., McGaughey, R.J., Bakker, J.D., Gersonde, R., Lutz, J.A., & Franklin, J.F. (2010). Comparisons between field- and LiDAR-based measures of stand structural complexity. Canadian Journal of Forest Research, 40, 761-773. 10.1139/X10-024
Tóth, S.F., Rabotyagov, S.S., & Ettl, G.J. (2010). ECOSEL: An auction mechanism for forest ecosystem services. Mathematical and Computational Forestry & Natural Resource Sciences, 2(2), 99-116. index/article
Tóth, S.F., Turner, J., Kushch, S.A., Yao, R., Rabotyagov, S.S., Dhakal, B., & Rogers, L.W. (2010). ECOSEL: Application of environmental auctions to a New Zealand planted forest. New Zealand Forest Research Institute (Scion) General Technical Report No. 47085. October 2010.
2009
Kato, A., Moskal, L. M., Schiess, P., Swanson, M., Calhoun, D., & Stuetzle, W. (2009). Capturing tree crown formation through implicit surface reconstruction using airborne LiDAR data. Remote Sensing of Environment, 113(6), 1148-1162. 10.1016/j.rse.2009.02.010
Moskal, L. M., Erdody, T., Kato, A., Richardson, J., Zheng, G., & Briggs, D. (2009). Aerial and terrestrial LiDAR applications in precision forestry. In CD Proceedings of The First International Conference on LiDAR Technology and Remote Sensing Applications, Harbin, China; 5p. pdf
Richardson, J., Moskal, L. M., & Kim, S. (2009). Modeling approaches to estimate effective leaf area index from aerial discrete-return LIDAR. Agricultural and Forest Meteorology, 149, 1152-1160. 10.1016/j.agrformet.2009.02.007
Tóth, S. F., Haight, R. G., Snyder, S. A., George, S., Miller, J. R., Gregory, M. S., & Skibbe, A. M. (2009). Reserve selection with minimum contiguous area restrictions: An application to open space protection planning in suburban Chicago. Biological Conservation. 10.1016/j.biocon.2009.02.037
Tóth, S. F., & McDill, M. E. (2009). Finding efficient harvest schedules under three conflicting objectives. Forest Science, 55(2), 117-131. 10.1093/forestscience/55.2.117
Zheng, G., & Moskal, L. M. (2009). Retrieving leaf area index (LAI) using remote sensing: Theories, methods and sensors. Sensors, 9(4), 2719-2745. 10.3390/s90402719
Kato, A., Moskal, L. M., Swanson, M. E., Schiess, P., & Calhoun, D. (2007). A wrapped-surface reconstruction method of LiDAR points to identify tree crown attributes. In CD Proceedings of American Society for Photogrammetry and Remote Sensing – 28th Canadian Symposium on Remote Sensing and ASPRS Fall Specialty Conference 2007, Ottawa, ON, Canada, 134-142. pdf
2008
Moskal, L. M., & Franklin, S. E. (2008). Multi-layer forest stand discrimination with spatial co-occurrence texture analysis of high spatial detail airborne imagery. Geocarto International, 17(4), 55-68. 10.1080/10106040208542254
Cherry, M. L., Vikram, V., Briggs, D. G., Cress, D. W., & Howe, G. T. (2008). Genetic variation in direct and indirect measures of wood stiffness in coastal Douglas-fir. Canadian Journal of Forest Research, 38(9), 2476-2486. 10.1139/X08-087
Kane, V. R., Gillespie, A. R., McGaughey, R. J., Lutz, J. A., Ceder, K., & Franklin, J. F. (2008). Interpretation and topographic compensation of conifer canopy self-shadowing. Remote Sensing of Environment, 112(10), 3820-3832. 10.1016/j.rse.2008.06.001
Lutz, J. A., Freund, J. A., Hagmann, R. K., Kane, V. R., Larson, A. J., & Franklin, J. F. (2008). Mid-career graduate students in ecology. Frontiers in Ecology and Environment, 6(7), 394-395. 10.1890/1540-9295(2008)6[392:MGSIE]2.0.CO;2
Tóth, S. F., & McDill, M. E. (2008). Promoting large, compact mature forest patches in harvest scheduling models. Environmental Modeling and Assessment, 13(1-15). 10.1007/s10666-006-9080-4
2007
Kato, A., Moskal, L. M., Swanson, M. E., Schiess, P., & Calhoun, D. (2007). A wrapped-surface reconstruction method of LiDAR points to identify tree crown attributes. In CD Proceedings of American Society for Photogrammetry and Remote Sensing – 28th Canadian Symposium on Remote Sensing and ASPRS Fall Specialty Conference (pp. 134-142). Ottawa, ON, Canada. pdf
2006
Gillespie, A. R., Gilson, L., Kane, V. R., & O’Neal, M. A. (2006). A framework for estimating unresolved spectral shade. In J. A. Sobrino (Ed.), Second recent advances in quantitative remote sensing (pp. 385-390). Spain: Publicacions de la Universitat de Valencia. link
Rogers, L. W. (2006). Who owns Washington’s forestlands? A spatial database for analyzing land-use patterns and trends. Western Forester, 51(2), 24. pdf
2005
Moskal, L. M. (2005). Temporal signatures and harmonic analysis of natural and anthropogenic disturbances of forested landscapes: A case study in the Yellowstone region. In Proceedings of IEEE MultiTemp 2005, 3rd International Workshop on the Analysis of Multi-temporal Remote Sensing Images (pp. 15-19). Biloxi, MS. link
2004
Dunbar, M. D., Moskal, L. M., & Jakubauskas, M. E. (2004). 3D visualization for the analysis of forest cover change. Geocarto International, Special Issue on 100th Anniversary of the Association of American Geographers – Remote Sensing Specialty Group, 19(2), 103-112. 10.1080/10106040408542310
Moskal, L. M., & Franklin, S. E. (2004). Relationship between airborne multispectral image texture and aspen defoliation. International Journal of Remote Sensing, 25(14), 2710-2711. 10.1080/01431160310001642304
Moskal, L. M., Dunbar, M. D., & Jakubauskas, M. E. (2004). Visualizing the forest: A forest inventory characterization in the Yellowstone National Park based on geostatistical models. In W. Widacki, A. Bytnerowicz, & A. Riebau (Eds.), A Message from the Tatras: Geographical Information Systems and Remote Sensing in Mountain Environmental Research (pp. 219-232). Institute of Geography and Spatial Management of the Jagiellonian University in Krakow and the USDA Forest Service. link
2002
Tóth, S. F. (2002). Japán erdeiről és erdőgazdálkodásáról, 5. rész: Erdészeti Lapok. Erdészeti Lapok, 137(5), 139-140. [in Hungarian]. pdf
2001
Franklin, S. E., Lavigne, M. B., Moskal, L. M., Wulder, M. A., & McCaffrey, T. M. (2001). Interpretation of partial harvest forest stand conditions using the Enhanced Wetness Difference Image (EWDI). Canadian Journal of Remote Sensing, 27(2), 118-128. 10.1080/07038992.2001.10854926
Moskal, L. M., Price, K. P., Jakubauskas, M. E., & Martinko, E. A. (2001). Comparison of hyperspectral AVIRIS and Landsat TM imagery for estimating burn site pine seedling regeneration densities in the Central Plateau of Yellowstone National Park. In Proceedings of the 3rd International Forestry and Agriculture Remote Sensing Conference and Exhibition, Denver, CO, November 2001, paper number E-8; 8p. link
Moskal, L. M., & Jakubauskas, M. E. (2001). Discriminating forest stand age classes using 2nd order image texture in the Central Plateau of Yellowstone National Park. In Proceedings of the 3rd International Forestry and Agriculture Remote Sensing Conference and Exhibition, Denver, CO, November 2001, paper number 4-3; 9p.
Moskal, L. M., Houts, M. E., Jakubauskas, M. E., Price, K., & Martinko, E. (2001). Multispectral high-resolution digital photography for forest characterization in the Central Plateau of the Yellowstone National Park. In Proceedings of The 3rd International Forestry and Agriculture Remote Sensing Conference and Exhibition, Denver, CO, November 2001, paper E-22; 10p. 10.13001/uwnpsrc.2001.3473
Tóth, S. F., Ueki, T., & Uozumi, Y. (2001). The current situation of Hungarian forest management, with special emphasis on the recent changes in forest ownership. Japanese Journal of Forest Planning, 7, 21-28. 10.20659/jfp.7.1_21
Tóth, S. F., Ueki, T., & Uozumi, Y. (2001). The ecological and historical background of forest management in Hungary. Japanese Journal of Forest Planning, 7, 11-19. 10.20659/jfp.7.1_11
2000
Presutti, M., Franklin, S. E., Moskal, L. M., & Dickson, E. E. (2000). Supervised classification of multisource satellite image spectral and texture data for agricultural crop mapping in Buenos Aires Province, Argentina. Canadian Journal of Remote Sensing, 27(6), 679-684. 10.1080/07038992.2001.10854910
Franklin, S. E., Dickson, E. E., Farr, D. M., Hansen, M. J., & Moskal, L. M. (2000). Quantification of landscape change from satellite remote sensing. Forestry Chronicle, 76(6), 877-886. 10.5558/tfc76877-6
Franklin, S. E., Hall, R. J., Moskal, L. M., Maudie, A. J., & Lavigne, M. B. (2000). Incorporating texture into classification of forest species composition from airborne multispectral images. International Journal of Remote Sensing, 21(1), 61-79. 10.1080/014311600210993
Franklin, S. E., Moskal, L. M., Lavigne, M. B., & Pugh, K. (2000). Interpretation and classification of partially harvested forest stands using multitemporal Landsat TM digital data. Canadian Journal of Remote Sensing, 26(3), 318-333. 10.1080/07038992.2000.10874783
Franklin, S. E., McCaffrey, T. M., Lavigne, M. B., Wulder, M. A., & Moskal, L. M. (2000). An ARC/INFO Macro Language (AML) polygon update program (PUP) integrating forest inventory and remotely-sensed data. Canadian Journal of Remote Sensing, 26(6), 566-575. 10.1080/07038992.2000.10874797
People
Professor L. Monika Moskal | RSGAL
PFC Director (2013 – 2025)
Bloedel 382 | 206.225.1510 | lmmoskal@uw.edu
Dr. Moskal is a Professor of Remote Sensing and Earth Observation at the School of Environmental and Forest Sciences within the College of the Environment.
Dr. Meghan Halabisky
halabisk@uw.edu
is a remote sensing research scientist with the PFC/RSGAL. Her research focus in on wetlands and she is the co-lead on the NASA funded CMS Teal Carbon Project within the PFC.
Dr. Kathleen Wolf
kwolf@uw.edu
Dr. Wolf is a research social scientist.
Associate Research Professor Jonathan Kane
Bloedel 388 | 206.543.1464 | vkane@uw.edu
Dr. Kane is a remote sensing specialist who works across the labs within the PFC.
The PFC is comprised of four research laboratories and one research group:
- Remote Sensing and Geospatial Analysis Laboratory (RSGAL), lead by Dr. L. Monika Moskal, the RSGAL strives to understand the fine details of spatiotemporal resolution multidimensional ecosystem processes & functions, through the application of innovative geospatial techniques and datasets.
- Forest Resilience Laboratory (FRL), led by Dr. Van Kane, the FRL works with Restoring Resilience at Multiple Scales (RRAMS) using LiDAR to guide burned landscape recovery and restoration.
- Fire Landscapes Adaptive Management & Ecology (FLAME) Laboratory is led by Dr. Susan Prichard which focuses on landscape fire ecology and management research with an emphasis on fire ecology and forest management.
- Spatial Optimization Laboratory (SOL), led by Dr. Sandor Toth, the SOL develops quantitative decision support tools to aid forest and natural resource management. SOL is particularly interested in building and testing mathematical models that can quantify and visualize the resource trade-offs and production possibilities between conflicting management objectives.
- Natural Resource Spatial Informatics Group (NRSIG), led by Luke Rogers, the NRSIG provides technologies and expertise for analyzing forestry and agricultural issues, specializing in large spatial scales and big data. NRSIG’s goal is to enable landscape, state, and regional scale analyses while simultaneously using the highest resolution data sets available.
Past PFC Directors
- James Fridley 1999-2000 – established PFC through a WA State Legislature allocation of funding to an Advanced Technology Initiative
- Bruce Larson 2000-2001
- Gerard Schreuder 2001-2003
- David Briggs 2003-2011 co-Directed the Stand Management Cooperative
- Gregory Ettl 2011-2012 co-Directed the Stand Management Cooperative
- L. Monika Moskal 2013-2025