Jody Vogeler

wildlife habitat area sign
sunset through dead tree canopy
forest measurements
mountain with burnt forest
alpine meadow

Lab Publications

Peer Reviewed Publications

Swayze, N.C., Tinkham, W.T., Vogeler, J.C., and Hudak, A.T. In Review. Influence of flight parameters on UAS-based monitoring of tree height, diameter, and density. Remote Sensing of Environment, In Review.

Creasy, M.B., Tinkham, W.T., Hoffman, C.M., and Vogeler, J.C. 2021. Potential for Individual Tree Monitoring in Ponderosa Pine-Dominated Forests Using Unmanned Aerial Systems Structure from Motion Point Clouds. Canadian Journal of Forest Research, (ja). https://doi.org/10.1139/cjfr-2020-0433

Mauro, F., Hudak, A.T., Fekety, P.A., Frank, B., Temesgen, H., Bell, D.M., Gregory, M.J., and McCarley, T.R. 2021. Regional Modeling of Forest Fuels and Structural Attributes Using Airborne Laser Scanning Data in Oregon. Remote Sensing 13(2): 261. https://doi.org/10.3390/rs13020261

Vogeler, J.C., Slesak, R.A., Fekety, P.A. and Falkowski, M.J. 2020. Characterizing over Four Decades of Forest Disturbance in Minnesota, USA. Forests, 11(3), p.362. https://doi.org/10.3390/f11030362

Filippelli, S.K., Vogeler, J.C., Falkowski, M.J. and Meneguzzo, D.M. 2020. Monitoring conifer cover: Leaf-off lidar and image-based tracking of eastern redcedar encroachment in central Nebraska. Remote Sensing of Environment, 248, p.111961. https://doi.org/10.1016/j.rse.2020.111961

Fekety, P.A., Crookston, N.L., Hudak, A.T., Filippelli, S.K., Vogeler, J.C., and Falkowski, M.J. 2020. Hundred year projected carbon loads and species compositions for four National Forests in the northwestern USA. Carbon Balance Management, 15(5). https://doi.org/10.1186/s13021-020-00140-9

Vogeler, J.C., Slesak, R.A., Fekety, P.A., and Falkowski, M.J. 2020. Characterizing over Four Decades of Forest Disturbance in Minnesota, USA. Forests, 11(3): 362. https://doi.org/10.3390/f11030362

Filippelli, S.K., Falkowski, M.J., Hudak, A.T., Fekety, P.A., Vogeler, J.C., Khalyani, A.H., Rau, B.M., and Strand, E.K. 2020. Monitoring pinyon-juniper cover and aboveground biomass across the Great Basin. Environmental Research Letters 15(2), 025004. https://doi.org/10.1088/1748-9326/ab6785

Hudak, A.T., Fekety, P.A., Kane, V.R., Kennedy, R.E., Filippelli, S.K., Falkowski, M.J., Tinkham, W.T., Smith, A.M.S., Crookston, N.L., Domke, G.M., Corrao, M.V., Bright, B.C., Churchill, D.J., Gould, P.J., McGaughey, R.J., Kane, J.T., and Dong, J. 2020. A carbon monitoring system for mapping regional, annual aboveground biomass across the northwestern USA. Environmental Research Letters. 15(9): 095003. https://doi.org/10.1088/1748-9326/ab93f9

Reinhardt, J.R., Filippelli, S., Falkowski, M., Allred, B., Maestas, J.D., Carlson, J.C., Naugle, D.E. 2020. Quantifying Pinyon-Juniper Reduction within North America’s Sagebrush Ecosystem. Rangeland Ecology & Management, 73(3). https://doi.org/10.1016/j.rama.2020.01.002

Mangan, A.O., Chestnut, T., Vogeler, J.C., Breckheimer, I.K., King, W.M., Bagnall, K.E. and Dugger, K.M. 2019. Barred Owls reduce occupancy and breeding propensity of Northern Spotted Owl in a Washington old-growth forest. The Condor, 121(3), p.duz031. https://doi.org/10.1093/condor/duz031

Lesmeister, D.B., Sovern, S.G., Davis, R.J., Bell, D.M, Gregory, M.J., and Vogeler, J.C. 2019. Mixed-severity wildfire and habitat of an old-forest obligate. Ecosphere, 10(4): e02696. https://doi.org/10.1002/ecs2.2696

Fekety, P. A., Sadak. R.B., Sauder, J.D., Hudak, A.T., and Falkowski, M.J. 2019. Predicting Forest Understory Habitat for Canada Lynx Using Lidar Data. Wildlife Society Bulletin, 43: 619–629. https://doi.org/10.1002/wsb.1018

Filippelli, S.K., Lefsky, M.A., Rocca, M.E. 2019. Comparison and integration of lidar and photogrammetric point clouds for mapping pre-fire forest structure. Remote Sensing of Environment, 224: 154–166. https://doi.org/10.1016/j.rse.2019.01.029

Fusco, E.J., Rau, B.M., Falkowski, M., Filippelli, S., Bradley, B.A., 2019. Accounting for aboveground carbon storage in shrubland and woodland ecosystems in the Great Basin. Ecosphere, 10, e02821. https://doi.org/10.1002/ecs2.2821

Vogeler, J.C., Braaten, J.D., Slesak, R.A., and Falkowski, M.J. 2018. Extracting the full value of the Landsat archive: Inter-sensor harmonization for the mapping of Minnesota forest canopy cover (1973 -2015). Remote Sensing of Environment, 209: 363-374. https://doi.org/10.1016/j.rse.2018.02.046

Bae, S., Muller, J., Lee, D., Vierling, K.T., Vogeler, J.C., Vierling, L.A., Hudak, A.T., Latifi, H., and Thorn, S. 2018. Taxonomic, functional, and phylogenetic diversity of bird assemblages are oppositely associated to productivity and heterogeneity in temperate forests. Remote Sensing of Environment, 215: 145-156. https://doi.org/10.1016/j.rse.2018.05.031

Fekety, P. A., Falkowski, M.J., Hudak, A.T., Jain, T.B., and Evans, J.S. 2018. Transferability of lidar-derived basal area and stem density models within a northern Idaho ecoregion. Canadian Journal of Remote Sensing, 44(2): 131-143. https://doi.org/10.1080/07038992.2018.1461557

Vogeler, J.C., Yang, Z., and Cohen, W.B. 2016. Mapping post-fire habitat characteristics through the fusion of remote sensing tools. Remote Sensing of Environment, 173: 294-303. https://doi.org/10.1016/j.rse.2015.08.011

Vogeler, J.C., Yang, Z., and Cohen, W.B. 2016. Mapping Suitable Lewis’s Woodpecker Nesting Habitat in a Post-Fire Landscape. Northwest Science, 90(4), 421-432. https://doi.org/10.3955/046.090.0404

Vogeler, J.C., and Cohen, W.B. 2016. A review of the role of active remote sensing and data fusion for characterizing forest in wildlife habitat models. Revista de Teledetección, 45: 1-14. Special Issue: Active Remote Sensing of Forests. https://doi.org/10.4995/raet.2016.3981

Kline, J. D., Harmon, M.E., Spies, T.A., Morzillo, A.T., Pabst, R.J., McComb, B.C., Schnekenburger, F., Olsen, K.A., Csuti, B., and Vogeler, J.C. 2016. Evaluating carbon storage, timber harvest, and potential habitat possibilities for western Cascades (US) forests. Ecological Applications, 26(7): 2044–2059. https://doi.org/10.1002/eap.1358

Lorenz, T., Vierling, K., Aycrigg, J., Vogeler, J., and Lonneker, J. 2015. Incorporating shrub and snag specific LiDAR data into GAP wildlife models. Journal of Fish and Wildlife Management, 6(2): 437-447. https://doi.org/10.3996/092013-JFWM-064

Vogeler, J. C., Hudak, A.T., Vierling, L.A., Evans, J., Green, P., and Vierling, K.T. 2014. Terrain and vegetation structural influences on local avian species richness in two mixed-conifer forests. Remote Sensing of Environment, 147: 13-22. https://doi.org/10.1016/j.rse.2014.02.006

Vierling, K.T., Swift, C.E., Hudak, A.T., Vogeler, J.C., and Vierling, L.A.. 2014. How much does the time lag between wildlife field-data collection and LiDAR-data acquisition matter for studies of animal distributions? A case study using bird communities. Remote Sensing Letters, 5(2): 185-193. https://doi.org/10.1080/2150704X.2014.891773

Vogeler, J.C., Hudak, A.T., Vierling, L.A., and Vierling, K.T. 2013. Lidar-derived canopy architecture predicts Brown Creeper occupancy of two western coniferous forests. The Condor, 115(3): 614-622. https://doi.org/10.1525/cond.2013.110082

 

Archived Spatial Data Products

Fekety, P.A., and A.T. Hudak. 2020. Field observations for “A carbon monitoring system for mapping regional, annual aboveground biomass across the northwestern USA”. Forest Service Research Data Archive Fort Collins, CO. https://doi.org/10.2737/RDS-2020-0026.

Filippelli, S.K., M.J. Falkowski, A.T. Hudak, and P.A. Fekety. 2020. Carbon Monitoring System: Pinyon-Juniper Forest Live Aboveground Biomass, Great Basin, USA, 2000-2016. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1755.

Fekety, P.A., and A.T. Hudak. 2020. LiDAR Derived Forest Aboveground Biomass Maps, Northwestern USA, 2002-2016. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1766.

Fekety, P.A., and A.T. Hudak. 2019. Annual Aboveground Biomass Maps for Forests in the Northwestern USA, 2000-2016. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1719.

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