Peer Reviewed Publications
2023
McEachran, Z.P., Reese, G.C., Karwan, D.L., Slesak, R.A. and Vogeler, J. (2023). Effects of forest disturbance on water yield and peak flow in low‐relief glaciated catchments assessed with Bayesian parameter estimation. Hydrological Processes, 37(8), p.e14956. https://doi.org/10.1002/hyp.14956
Berini, J., Runck, B., Vogeler, J., Fox, D.L., & Forester, J. (2023). Estimates of woody biomass and mixed effects improve isoscape predictions across a northern mixed forest. Frontiers in Ecology and Evolution, 11, p.1060689. https://doi.org/10.3389/fevo.2023.1060689
Vogeler, J.C., Fekety, P.A, Swayze, N.C., Filippelli, S.K., Barry, B., Elliot, L., Holbrook, J.D., & Vierling, K.T. (2023). Evaluating GEDI data fusions for continuous characterizations of forest wildlife habitat. Frontiers in Remote Sensing: Women in Remote Sensing Special Issue (Invited), 4, p.1196554. https://doi.org/10.3389/frsen.2023.1196554
2022
Duncanson, L., Kellner, J. R., Armston, J., Dubayah, R., Minor, D. M., Hancock, S., Healey, S. et al [including Fekety, P.A.]. (2022). Aboveground biomass density models for NASA’s Global Ecosystem Dynamics Investigation (GEDI) lidar mission. Remote Sensing of Environment, 270, 112845. https://doi.org/10.1016/j.rse.2021.112845
Filippelli, S. K., Sloggy, M. R., Vogeler, J. C., Manning, D. T., Goemans, C., & Senay, G. B. (2022). Remote sensing of field-scale irrigation withdrawals in the central Ogallala aquifer region. Agricultural Water Management, 271, 107764. https://doi.org/10.1016/j.agwat.2022.107764
Mauro, F., Monleon, V. J., Gray, A. N., Kuegler, O., Temesgen, H., Hudak, A. T., Fekety, P. A., & Yang, Z. (2022). Comparison of Model-Assisted Endogenous Poststratification Methods for Estimation of Above-Ground Biomass Change in Oregon, USA. Remote Sensing, 14(23), Article 23. https://doi.org/10.3390/rs14236024
Ojima, D. S., DeFries, R. S., Goward, S. N., Hansen, A., Hansen, M. C., Loveland, T., Skole, D., & Vogeler, J. (2022). Landsat@50. Frontiers in Ecology and the Environment, 20(6), 340–342. https://doi.org/10.1002/fee.2541
Smith, A. B., Vogeler, J. C., Bjornlie, N. L., Squires, J. R., Swayze, N. C., & Holbrook, J. D. (2022). Spaceborne LiDAR and animal-environment relationships: An assessment for forest carnivores and their prey in the Greater Yellowstone Ecosystem. Forest Ecology and Management, 520, 120343. https://doi.org/10.1016/j.foreco.2022.120343
Swayze, N. C., Tinkham, W. T., Creasy, M. B., Vogeler, J. C., Hoffman, C. M., & Hudak, A. T. (2022). Influence of UAS Flight Altitude and Speed on Aboveground Biomass Prediction. Remote Sensing, 14(9), Article 9. https://doi.org/10.3390/rs14091989
Wei, L., Zhou, H., Hudak, A. T., Link, T. E., Marshall, A., Kavanagh, K. L., Abatzoglou, J. T., Jain, T. B., Byrne, J. C., Denner, R., Fekety, P. A., Sandquist, J., Yu, X., & Marshall, J. D. (2022). White pine blister rust, logging, and species replacement increased streamflow in a montane watershed in the northern Rockies, USA. Journal of Hydrology, 612, 128230. https://doi.org/10.1016/j.jhydrol.2022.128230
2021
Creasy, M. B., Tinkham, W. T., Hoffman, C. M., & Vogeler, J. C. (2021). Potential for individual tree monitoring in ponderosa pine dominated forests using unmanned aerial system structure from motion point clouds. Canadian Journal of Forest Research, 51(8), 1093–1105. 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., & McCarley, T. R. (2021). Regional Modeling of Forest Fuels and Structural Attributes Using Airborne Laser Scanning Data in Oregon. Remote Sensing, 13(2), Article 2. https://doi.org/10.3390/rs13020261
Temesgen, H., Mauro, F., Hudak, A. T., Frank, B., Monleon, V., Fekety, P., Palmer, M., & Bryant, T. (2021). Using Fay–Herriot Models and Variable Radius Plot Data to Develop a Stand-Level Inventory and Update a Prior Inventory in the Western Cascades, OR, United States. Frontiers in Forests and Global Change, 4. https://www.frontiersin.org/articles/10.3389/ffgc.2021.745916
2020
Fekety, P. A., Crookston, N. L., Hudak, A. T., Filippelli, S. K., Vogeler, J. C., & Falkowski, M. J. (2020). Hundred year projected carbon loads and species compositions for four National Forests in the northwestern USA. Carbon Balance and Management, 15(1), 5. https://doi.org/10.1186/s13021-020-00140-9
Filippelli, S. K., Falkowski, M. J., Hudak, A. T., Fekety, P. A., Vogeler, J. C., Khalyani, A. H., Rau, B. M., & 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
Filippelli, S. K., Vogeler, J. C., Falkowski, M. J., & 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, 111961. https://doi.org/10.1016/j.rse.2020.111961
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, et al. (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), 420–432. https://doi.org/10.1016/j.rama.2020.01.002
Vogeler, J. C., Slesak, R. A., Fekety, P. A., & Falkowski, M. J. (2020). Characterizing over Four Decades of Forest Disturbance in Minnesota, USA. Forests, 11(3), Article 3. https://doi.org/10.3390/f11030362
2019
Lesmeister, D. B., Sovern, S. G., Davis, R. J., Bell, D. M., Gregory, M. J., & 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
Mangan, A. O., Chestnut, T., Vogeler, J. C., Breckheimer, I. K., King, W. M., Bagnall, K. E., & 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), duz031. https://doi.org/10.1093/condor/duz031
2018
Bae, S., Müller, J., Lee, D., Vierling, K. T., Vogeler, J. C., Vierling, L. A., Hudak, A. T., Latifi, H., & 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
Vogeler, J. C., Braaten, J. D., Slesak, R. A., & 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
2016
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., & Vogeler, J. C. (2016). Evaluating carbon storage, timber harvest, and habitat possibilities for a Western Cascades (USA) forest landscape. Ecological Applications, 26(7), 2044–2059. https://doi.org/10.1002/eap.1358
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, 1–14. https://doi.org/10.4995/raet.2016.3981
Vogeler, J. C., Yang, Z., & Cohen, W. B. (2016a). 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., & Cohen, W. B. (2016b). 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
2015
Lorenz, T. J., Vierling, K. T., Vogeler, J., Lonneker, J., & Aycrigg, 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
2014
Vierling, K. T., Swift, C. E., Hudak, A. T., Vogeler, J. C., & 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., Evans, J., Green, P., & 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
2013
Vogeler, J. C., Hudak, A. T., Vierling, L. A., & 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
McEachran, Z.P., Reese, G.C., Karwan, D.L., Slesak, R.A. and Vogeler, J. (2023). Effects of forest disturbance on water yield and peak flow in low‐relief glaciated catchments assessed with Bayesian parameter estimation. Hydrological Processes, 37(8), p.e14956. https://doi.org/10.1002/hyp.14956
Berini, J., Runck, B., Vogeler, J., Fox, D.L., & Forester, J. (2023). Estimates of woody biomass and mixed effects improve isoscape predictions across a northern mixed forest. Frontiers in Ecology and Evolution, 11, p.1060689. https://doi.org/10.3389/fevo.2023.1060689
Vogeler, J.C., Fekety, P.A, Swayze, N.C., Filippelli, S.K., Barry, B., Elliot, L., Holbrook, J.D., & Vierling, K.T. (2023). Evaluating GEDI data fusions for continuous characterizations of forest wildlife habitat. Frontiers in Remote Sensing: Women in Remote Sensing Special Issue (Invited), 4, p.1196554. https://doi.org/10.3389/frsen.2023.1196554
2022
Duncanson, L., Kellner, J. R., Armston, J., Dubayah, R., Minor, D. M., Hancock, S., Healey, S. et al [including Fekety, P.A.]. (2022). Aboveground biomass density models for NASA’s Global Ecosystem Dynamics Investigation (GEDI) lidar mission. Remote Sensing of Environment, 270, 112845. https://doi.org/10.1016/j.rse.2021.112845
Filippelli, S. K., Sloggy, M. R., Vogeler, J. C., Manning, D. T., Goemans, C., & Senay, G. B. (2022). Remote sensing of field-scale irrigation withdrawals in the central Ogallala aquifer region. Agricultural Water Management, 271, 107764. https://doi.org/10.1016/j.agwat.2022.107764
Mauro, F., Monleon, V. J., Gray, A. N., Kuegler, O., Temesgen, H., Hudak, A. T., Fekety, P. A., & Yang, Z. (2022). Comparison of Model-Assisted Endogenous Poststratification Methods for Estimation of Above-Ground Biomass Change in Oregon, USA. Remote Sensing, 14(23), Article 23. https://doi.org/10.3390/rs14236024
Ojima, D. S., DeFries, R. S., Goward, S. N., Hansen, A., Hansen, M. C., Loveland, T., Skole, D., & Vogeler, J. (2022). Landsat@50. Frontiers in Ecology and the Environment, 20(6), 340–342. https://doi.org/10.1002/fee.2541
Smith, A. B., Vogeler, J. C., Bjornlie, N. L., Squires, J. R., Swayze, N. C., & Holbrook, J. D. (2022). Spaceborne LiDAR and animal-environment relationships: An assessment for forest carnivores and their prey in the Greater Yellowstone Ecosystem. Forest Ecology and Management, 520, 120343. https://doi.org/10.1016/j.foreco.2022.120343
Swayze, N. C., Tinkham, W. T., Creasy, M. B., Vogeler, J. C., Hoffman, C. M., & Hudak, A. T. (2022). Influence of UAS Flight Altitude and Speed on Aboveground Biomass Prediction. Remote Sensing, 14(9), Article 9. https://doi.org/10.3390/rs14091989
Wei, L., Zhou, H., Hudak, A. T., Link, T. E., Marshall, A., Kavanagh, K. L., Abatzoglou, J. T., Jain, T. B., Byrne, J. C., Denner, R., Fekety, P. A., Sandquist, J., Yu, X., & Marshall, J. D. (2022). White pine blister rust, logging, and species replacement increased streamflow in a montane watershed in the northern Rockies, USA. Journal of Hydrology, 612, 128230. https://doi.org/10.1016/j.jhydrol.2022.128230
2021
Creasy, M. B., Tinkham, W. T., Hoffman, C. M., & Vogeler, J. C. (2021). Potential for individual tree monitoring in ponderosa pine dominated forests using unmanned aerial system structure from motion point clouds. Canadian Journal of Forest Research, 51(8), 1093–1105. 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., & McCarley, T. R. (2021). Regional Modeling of Forest Fuels and Structural Attributes Using Airborne Laser Scanning Data in Oregon. Remote Sensing, 13(2), Article 2. https://doi.org/10.3390/rs13020261
Temesgen, H., Mauro, F., Hudak, A. T., Frank, B., Monleon, V., Fekety, P., Palmer, M., & Bryant, T. (2021). Using Fay–Herriot Models and Variable Radius Plot Data to Develop a Stand-Level Inventory and Update a Prior Inventory in the Western Cascades, OR, United States. Frontiers in Forests and Global Change, 4. https://www.frontiersin.org/articles/10.3389/ffgc.2021.745916
2020
Fekety, P. A., Crookston, N. L., Hudak, A. T., Filippelli, S. K., Vogeler, J. C., & Falkowski, M. J. (2020). Hundred year projected carbon loads and species compositions for four National Forests in the northwestern USA. Carbon Balance and Management, 15(1), 5. https://doi.org/10.1186/s13021-020-00140-9
Filippelli, S. K., Falkowski, M. J., Hudak, A. T., Fekety, P. A., Vogeler, J. C., Khalyani, A. H., Rau, B. M., & 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
Filippelli, S. K., Vogeler, J. C., Falkowski, M. J., & 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, 111961. https://doi.org/10.1016/j.rse.2020.111961
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, et al. (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), 420–432. https://doi.org/10.1016/j.rama.2020.01.002
Vogeler, J. C., Slesak, R. A., Fekety, P. A., & Falkowski, M. J. (2020). Characterizing over Four Decades of Forest Disturbance in Minnesota, USA. Forests, 11(3), Article 3. https://doi.org/10.3390/f11030362
2019
Lesmeister, D. B., Sovern, S. G., Davis, R. J., Bell, D. M., Gregory, M. J., & 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
Mangan, A. O., Chestnut, T., Vogeler, J. C., Breckheimer, I. K., King, W. M., Bagnall, K. E., & 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), duz031. https://doi.org/10.1093/condor/duz031
2018
Bae, S., Müller, J., Lee, D., Vierling, K. T., Vogeler, J. C., Vierling, L. A., Hudak, A. T., Latifi, H., & 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
Vogeler, J. C., Braaten, J. D., Slesak, R. A., & 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
2016
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., & Vogeler, J. C. (2016). Evaluating carbon storage, timber harvest, and habitat possibilities for a Western Cascades (USA) forest landscape. Ecological Applications, 26(7), 2044–2059. https://doi.org/10.1002/eap.1358
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, 1–14. https://doi.org/10.4995/raet.2016.3981
Vogeler, J. C., Yang, Z., & Cohen, W. B. (2016a). 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., & Cohen, W. B. (2016b). 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
2015
Lorenz, T. J., Vierling, K. T., Vogeler, J., Lonneker, J., & Aycrigg, 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
2014
Vierling, K. T., Swift, C. E., Hudak, A. T., Vogeler, J. C., & 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., Evans, J., Green, P., & 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
2013
Vogeler, J. C., Hudak, A. T., Vierling, L. A., & 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
Vogeler, J., P.A. Fekety, and K. Vierling. 2023. GEDI-Fusion Structure Metrics Western US, 2016-2020. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/2236 (preprint-DOI)
Filippelli, S.K.; Schleeweis, K.G.; Nelson, M.D.; Fekety, P.A.; Vogeler, J.C. Vogeler. 2023. Tree canopy cover in the Great Lakes region, 1985-2019. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2023-0043 (preprint-DOI)
Filippelli, S.K., J.C. Vogeler, M.J. Falkowski, & D.M. Meneguzzo. (2021). Eastern redcedar percent canopy cover in the central Great Plains (1985-2018). Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2021-0037
Vogeler, J. (2020). Most recent fast forest disturbances in Minnesota Version 4.0. Minnesota Geospatial Commons. https://gisdata.mn.gov/dataset/env-fast-forest-disturbances
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. (20200. 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.
Vogeler, J. 2019. Annual canopy Cover (1973-2018) in Minnesota. Minnesota Geospatial Commons. https://gisdata.mn.gov/dataset/env-annual-canopy-cover
Filippelli, S.K.; Schleeweis, K.G.; Nelson, M.D.; Fekety, P.A.; Vogeler, J.C. Vogeler. 2023. Tree canopy cover in the Great Lakes region, 1985-2019. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2023-0043 (preprint-DOI)
Filippelli, S.K., J.C. Vogeler, M.J. Falkowski, & D.M. Meneguzzo. (2021). Eastern redcedar percent canopy cover in the central Great Plains (1985-2018). Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2021-0037
Vogeler, J. (2020). Most recent fast forest disturbances in Minnesota Version 4.0. Minnesota Geospatial Commons. https://gisdata.mn.gov/dataset/env-fast-forest-disturbances
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. (20200. 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.
Vogeler, J. 2019. Annual canopy Cover (1973-2018) in Minnesota. Minnesota Geospatial Commons. https://gisdata.mn.gov/dataset/env-annual-canopy-cover
