{"id":30,"date":"2018-09-30T16:15:06","date_gmt":"2018-09-30T16:15:06","guid":{"rendered":"http:\/\/sites.warnercnr.colostate.edu\/wtinkham\/?page_id=30"},"modified":"2022-03-30T19:52:12","modified_gmt":"2022-03-30T19:52:12","slug":"publications","status":"publish","type":"page","link":"https:\/\/sites.warnercnr.colostate.edu\/wtinkham\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"<div class=\"wpb-content-wrapper\"><p>[vc_row equal_height=&#8221;yes&#8221; css=&#8221;.vc_custom_1573750764659{margin-bottom: -25px !important;}&#8221;][vc_column width=&#8221;1\/2&#8243;][vc_column_text]<\/p>\n<ul>\n<li>Swayze, N.P. <sup>RA<\/sup>, Tinkham, W.T., Creasy, M.B. <sup>GA<\/sup>, Vogler, J.C., Hudak, A.T., Hoffman, C.M. 2022. Influence of UAS flight altitude and speed on aboveground biomass prediction. <em>Remote Sensing<\/em>, accepted.<\/li>\n<li>Swayze, N.P. <sup>RA<\/sup>, Tinkham, W.T. 2022. Application of UAS Structure from Motion Point Cloud Detected Tree Heights and DBHs to model missing DBH values. <em>MethodsX<\/em>, accepted.<\/li>\n<li>Rasmussen, S.M. <sup>GC<\/sup>, Tinkham, W.T., McHale, M.R. 2022. What can a midsized, semi-arid city teach us about human-made forests? <em>Urban Ecosystems<\/em>, accepted. doi: <a href=\"https:\/\/link.springer.com\/article\/10.1007\/s11252-022-01203-0\">10.1007\/x11252-022-01203-0<\/a>.<\/li>\n<li>Bonner, S.R. <sup>GC<\/sup>, Hoffman, C.M., Kane, J.M., Varner, J.M., Hiers, J.K., O\u2019Brien, J.J., Rickard, H.D., Tinkham, W.T., Linn, R.R., Skowronski, N., Parsons, R.A., Sieg, C.H. 2021. Invigorating prescribed fire science through improved reporting practices. <em>Frontiers in Forests and Global Change<\/em>,<em> 4<\/em>, 750699. doi: <a href=\"https:\/\/www.frontiersin.org\/articles\/10.3389\/ffgc.2021.750699\/full\">10.3389\/ffgc.2021.750699<\/a>.<\/li>\n<li>Tinkham, W.T., Battaglia, M.A., and Hoffman, C.M. 2021. Evaluating long-term seedling growth across densities using Nelder plots and FVS in the Black Hills, South Dakota, USA. <em>Forest Science<\/em>, fxab009, doi: <a href=\"https:\/\/nam10.safelinks.protection.outlook.com\/?url=http%3A%2F%2Ftrack.smtpsendmail.com%2F9032119%2Fc%3Fp%3DRhOyV2gYpC9KxGafdkoz2U5LmzIAftkGQ1hnaqjp6gsKYzkCaScAC8Cy0t0pUyaFqi-VvRgcfcjnn6WY5sBsxCc64NCSnG5-PLZLwX2CgO7fSYEPIht01gHluK0i-pMJS_RlhIeH_j7Kfxjsn20x_s7u503FH54K3RUAqtobBPn9uBHpx4TXFivYQdgT2FRh0A3CbRVL6B87WagspQa9DRjINU031iOlVzoalxcwrO2FTHjPs5nqJhUkn1ym7kVCneL49vY-GtTdTtJePeTkuXIGltT4tcWIW4h7mXS7toE%3D&amp;data=04%7C01%7CWade.Tinkham%40colostate.edu%7C4d5ef8013d274751aa5408d8fe62af9a%7Cafb58802ff7a4bb1ab21367ff2ecfc8b%7C0%7C1%7C637539047101276780%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000&amp;sdata=Ype5FrGOn2S9iihqeqieg9mPcih7LEJhbbeSwk5fEAk%3D&amp;reserved=0\">10.1093\/forsci\/fxab009<\/a>.<\/li>\n<\/ul>\n<p>[\/vc_column_text][\/vc_column][vc_column width=&#8221;1\/2&#8243; css=&#8221;.vc_custom_1561414602077{margin-top: -60px !important;}&#8221;][vc_column_text]<\/p>\n<p style=\"text-align: right;\"><sup>GA<\/sup> &#8211; Graduate Adviser; <sup>GC<\/sup> &#8211; Graduate Committee<\/p>\n<p>[\/vc_column_text][vc_gallery type=&#8221;flexslider_slide&#8221; interval=&#8221;5&#8243; images=&#8221;54,55,86,50,788,789,805&#8243; img_size=&#8221;large&#8221; css=&#8221;.vc_custom_1622920803579{margin-top: 50px !important;margin-bottom: -20px !important;}&#8221;][\/vc_column][\/vc_row][vc_row][vc_column][vc_column_text css=&#8221;.vc_custom_1648669222692{margin-top: -10px !important;}&#8221;]<\/p>\n<ul>\n<li>Swayze, N.P. <sup>GA<\/sup>, Tinkham, W.T., Vogeler, J.C., and Hudak, A.T. 2021. Influence of Flight Parameters on UAS-Based Monitoring of Tree Height, Diameter, and Density. <em>Remote Sensing of Environment<\/em>, 263, 112540, doi:<a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0034425721002601\"> 10.1016\/j.rse.2021.112540<\/a>.<\/li>\n<li>Tinkham, W.T. and Swayze, N.P. <sup>GA<\/sup> 2021. Influence of Agisoft Metashape Parameters on Individual Tree Detection Using Structure from Motion Canopy Height Models. <em>Forests<\/em>, 12(2), 250, doi: <a href=\"https:\/\/www.mdpi.com\/1999-4907\/12\/2\/250\">10.3390\/f12020250<\/a>.<\/li>\n<li>Creasy, M.B. <sup>GA<\/sup>, Tinkham, W.T., Hoffman, C.M., and Vogeler, J.C. 2021. Potential for individual tree monitoring in ponderosa pine-dominated forests using unmanned aerial system structure from motion point clouds. <em>Canadian Journal of Forest Research,<\/em> 51, doi: <a href=\"https:\/\/sites.warnercnr.colostate.edu\/wtinkham\/wp-content\/uploads\/sites\/114\/2021\/07\/Creasy_etal_2021_CJFR_UAS_Tree_Detection-PROOF.pdf\" target=\"_blank\" rel=\"noopener\">10.1139\/cjfr-2020-0433<\/a>.<\/li>\n<li>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. <em>Environmental Research Letters,<\/em> 15(9), 095003, doi: <a href=\"https:\/\/iopscience.iop.org\/article\/10.1088\/1748-9326\/ab93f9\">10.1088\/1748-9326\/ab93f9<\/a>.<\/li>\n<li>Lelande, B.M.<sup>GC<\/sup>, Houghs, K., Jacobi, W.R., Tinkham, W.T., Reich, R., and Stewart, J.E. 2020. Subalpine fir mortality in Colorado is associated with stand density, warming climates and an interaction among fungal diseases and the western balsam bark beetle.<em> Forest Ecology and Management, 466,<\/em> 118133, doi: <a href=\"https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S0378112720304382\">10.1016\/j.foreco.2020.118133.<\/a><\/li>\n<li>Cannon, J.B., Tinkham, W.T., DeAngelis, R.K., Hill, E.M., and Battaglia, M.A. 2019. Variability in mixed conifer spatial structure changes understory light environments. <em>Forests, <\/em>10(11), 1015, doi: <a href=\"https:\/\/www.mdpi.com\/1999-4907\/10\/11\/1015\/htm\">10.3390\/f10111015.<\/a><\/li>\n<li>Ex, S.A., Ziegler, J.P., Tinkham, W.T., and Hoffman, C.M. 2019. Long-term impacts of fuel treatment placement with respect to forest cover type on potential fire behavior across a mountainous landscape. <em>Forests, <\/em>10(5), 438, doi: <a href=\"https:\/\/www.mdpi.com\/1999-4907\/10\/5\/438\" target=\"_blank\" rel=\"noopener noreferrer\">10.3390\/f10050438.<\/a><\/li>\n<li>Tinkham, W.T., Mahoney, P.R., Smith, A.M.S., Hudak, A.T., Domke, G.M., Falkowski, M.J., Nelson, A., and Woodall, C.W. 2018. Applications of the United States Forest Service Forest Inventory and Analysis dataset: a review and future directions. <em>Canadian Journal of Forest Research,\u00a0<\/em>48, 1251-1268, doi: <a href=\"https:\/\/www.nrcresearchpress.com\/doi\/full\/10.1139\/cjfr-2018-0196#.XbIo9mZMFEY\" target=\"_blank\" rel=\"noopener noreferrer\">10.1139\/cjfr-2018-0196.<\/a><\/li>\n<li>Wojcik, V., Smith, L., Carromero, W., Adams, D.L., Davis, S., DeBano, S.J., Fallon, C. Hatfield, R., Black, S.H., Kaye, T., Jepsen, S., McKnight, S., Morandin, L., Pelton, E., Rhoades, P., Rourke, K., Rowland, M., and Tinkham, W.T. 2018. New Research and BMPs in Natural Areas: A synthesis of pollinator management symposium from the 44th Natural Areas Conference, October 2017. <em>Natural Areas Journal<\/em>, 38, 5, 334-346, doi: <a href=\"https:\/\/bioone.org\/journals\/Natural-Areas-Journal\/volume-38\/issue-5\/043.038.0503\/New-Research-and-BMPs-in-Natural-Areas--A-Synthesis\/10.3375\/043.038.0503.full\" target=\"_blank\" rel=\"noopener noreferrer\">10.3375\/043.038.0503.<\/a><\/li>\n<li>Rhoades, P.R., Davis, T.S., Tinkham, W.T., and Hoffman, C.M. 2018. Effects of seasonality, forest structure and understory plant richness on bee community assemblage in a southern Rocky Mountain mixed conifer forest. <em>Annals of the Entomological Society of America, <\/em>111, 5, 287-294, doi: <a href=\"https:\/\/academic.oup.com\/aesa\/article\/111\/5\/278\/5038548\" target=\"_blank\" rel=\"noopener noreferrer\">10.1093\/aese\/say021.<\/a><\/li>\n<li>Tinkham, W.T., Dickinson, Y., Hoffman, C.M., Battaglia, M.A., Ex, S., and Underhill, J. 2017. Visualization of heterogeneous forest structures following treatments in the southern Rocky Mountains. <em>USDA Forest Service General Technical Report, <\/em><a href=\"https:\/\/www.fs.usda.gov\/treesearch\/pubs\/54887\" target=\"_blank\" rel=\"noopener noreferrer\">RMRS-GTR-365<\/a>, Fort Collins, CO. p. 72.<\/li>\n<li>Hyde, J.C., Yedinak, K.M., Talhelm, A.F., Smith, A.M.S., Bowman, D.M.J.S, Johnston, F.H., Lahm, P., Fitch, M., and Tinkham, W.T. 2017. Air quality policy and fire management responses addressing smoke from wildland fires in the United States and Australia. <em>International Journal of Wildland Fire, <\/em>26, 5, 347-363, doi: <a href=\"http:\/\/www.publish.csiro.au\/wf\/WF16154\" target=\"_blank\" rel=\"noopener noreferrer\">10.1071\/WF16154<em>.<\/em><\/a><\/li>\n<li>Tinkham, W.T., Hoffman, C.M., Ex, S.A., Battaglia, M., and Smith, A.M.S. 2017. Sensitivity of crown fire modeling to inventory parameter dubbing in FVS. In proceedings of <em>2017 Forest Vegetation Simulator (FVS) e-Conference<\/em>, <em>USDA Forest Service e-General Technical Report<\/em>, <a href=\"https:\/\/www.researchgate.net\/profile\/Curtis_Vanderschaaf\/publication\/333419595_Economic_Returns_of_White_Spruce_Plantation_Thinning_Scenarios_Using_Forest_Vegetation_Simulator_FVS\/links\/5cecd4dc92851c1ad4981656\/Economic-Returns-of-White-Spruce-Plantation-Thinning-Scenarios-Using-Forest-Vegetation-Simulator-FVS.pdf#page=122\" target=\"_blank\" rel=\"noopener noreferrer\">SRS-eGTR-224<\/a>. Asheville, NC. p. 114-123.<\/li>\n<li>Tinkham, W.T., Nagel, L., and Roske, M. 2017. Assessment of user needs during the modernization of the Forest Vegetation Simulator. In proceedings of <em>2017 Forest Vegetation Simulator (FVS) e-Conference<\/em>, e-Gen. Tech. Rep. SRS-224. Asheville, NC. p. 1-2.<\/li>\n<li>Smith, A.M.S., Talhelm, A.F., Johnson, D.M., Kolden, C.A., Abatzoglou, J.T., Sparks, A.M., Yedinak, K.M., Lutz, J.A., Tinkham, W.T., Apostol, K.G., Adams, H., and Pregitzer, K.S. 2017. Effects of fire radiative energy density dose on <em>Pinus contorta <\/em>and <em>Larix occidentalis <\/em>seedling physiology and mortality. <em>International Journal of Wildland Fire, <\/em>26, 1, 82-94, doi: <a href=\"http:\/\/www.publish.csiro.au\/WF\/WF16077\" target=\"_blank\" rel=\"noopener noreferrer\">10.1070\/WF16077.<\/a><\/li>\n<li>Vakili, E., Hoffman, C.M., Keane, R.E., Tinkham, W.T., and Dickinson, Y. 2016. Spatial variability of surface fuels in treated and untreated ponderosa pine forests of the southern Rocky Mountains. <em>International Journal of Wildland Fire, <\/em>25, 11, 1156-1168, doi: <a href=\"http:\/\/www.publish.csiro.au\/wf\/wf16072\" target=\"_blank\" rel=\"noopener noreferrer\">10.1071\/WF16072.<\/a><\/li>\n<li>Caggiano, M., Tinkham, W.T., Hoffman, C.M., Hawbaker, T., and Cheng, T. 2016. High resolution mapping of development in the Wildland-Urban Interface using object based image extraction. <em>Heliyon, <\/em>2, 10, e00174, doi: <a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S240584401630295X\" target=\"_blank\" rel=\"noopener noreferrer\">10.1016\/j.heliyon.2016.e00174.<\/a><\/li>\n<li>Tinkham, W.T., Smith, A.M.S., Affleck, D., Saralecos, J.D., Falkowski, M.J., Hoffman, C.M., Hudak, A.T., and Wulder, M.A. 2016. Development of height-volume relationships in second growth <em>Abies grandis<\/em> for use with aerial LiDAR. <em>Canadian Journal of Remote Sensing, <\/em>42, 5, 400-410, doi: <a href=\"https:\/\/www.tandfonline.com\/doi\/full\/10.1080\/07038992.2016.1232587\" target=\"_blank\" rel=\"noopener noreferrer\">10.1080\/07038992.2016.1232587.<\/a><\/li>\n<li>Tinkham, W.T., Hoffman, C.M., Ex, S.A., Battaglia, M.A., and Saralecos, J.D. 2016. Ponderosa pine forest restoration treatment longevity: implications of regeneration on fire hazard. <em>Forests, <\/em>7, 137, pp 19, doi: <a href=\"https:\/\/www.mdpi.com\/1999-4907\/7\/7\/137\" target=\"_blank\" rel=\"noopener noreferrer\">10.3390\/f7070137.<\/a><\/li>\n<li>Grayson, L.M., Keefe, R.F., Tinkham, W.T., Eitel, J.U.H., Saralecos, J.D., Smith, A.M.S., and Zimbelman E.G. 2016. Accuracy of WAAS-enabled GPS-RF warning signals when crossing a terrestrial geofence. <em>Sensors, <\/em>16, 912, doi: <a href=\"https:\/\/www.mdpi.com\/1424-8220\/16\/6\/912\" target=\"_blank\" rel=\"noopener noreferrer\">10.3390\/s16060912.<\/a><\/li>\n<li>Tinkham, W.T., Smith, A.M.S., Higuera, P.E., Hatten, J.A., Brewer, N.W., and Doerr, S.H. 2016. Replacing time with space: Using laboratory fires to explore the effects of repeated burning on black carbon degradation. <em>International Journal of Wildland Fire<\/em>, 25, 2, 242-248, doi: <a href=\"http:\/\/www.publish.csiro.au\/WF\/WF15131\" target=\"_blank\" rel=\"noopener noreferrer\">10.1071\/WF15131.<\/a><\/li>\n<li>Smith, A.M.S., Sparks, A.M., Kolden, C.A., Abatzoglou, J.T, Talhelm, A.F., Johnson, D.M., Boschetti, L., Lutz, J.A., Apostol, K.G., Yedinak, K.M., Tinkham, W.T., and Kremens, R.L. 2016. Towards a new paradigm in fire severity research using dose-response experiments. <em>International Journal of Wildland Fire,<\/em> 25, 158-166, doi: <a href=\"http:\/\/www.publish.csiro.au\/WF\/WF15130\" target=\"_blank\" rel=\"noopener noreferrer\">10.1071\/WF15130.<\/a><\/li>\n<li>Tinkham, W.T., Hoffman, C.M., Canfield, J.M., Vakili, E., and Reich, R.M. 2016. Using the photoload technique with double sampling to improve surface fuel loading estimates. <em>International Journal of Wildland Fire, <\/em>25, 2, 224-228, doi: <a href=\"http:\/\/www.publish.csiro.au\/WF\/WF15027\" target=\"_blank\" rel=\"noopener noreferrer\">10.1071\/WF15027.<\/a><\/li>\n<li>Blades, J.J., Klos, Z.P., Kemp, K.B., Hall, T.E., Force, J., Morgan, P., and Tinkham, W.T. 2016. Forest managers\u2019 response to climate change science: evaluating the constructs of boundary objects and organizations. <em>Forest Ecology and Management, <\/em>360, 376-387, doi: <a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0378112715004016\" target=\"_blank\" rel=\"noopener noreferrer\">10.1016\/j.foreco.2015.07.020.<\/a><\/li>\n<li>Tinkham, W.T., Denner, R., and Graham, R.T. 2015. Climate, Snowpack, and Streamflow of Priest River Experimental Forest, Revisited. <em>USDA Forest Service General Technical Report,<\/em> <a href=\"https:\/\/www.fs.usda.gov\/treesearch\/pubs\/47721\" target=\"_blank\" rel=\"noopener noreferrer\">RMRS-GTR-331<\/a>, Fort Collins, CO U.S.<\/li>\n<li>Saralecos, J.D., Keefe, R.F., Tinkham, W.T., Brooks, R.H., and Johnson, L.R. 2015. Operational influences affecting sawlog weight and volume relationships in the intermountain west. <em>Forest Products Journal, <\/em>65, 5-6, 198-208, doi: <a href=\"https:\/\/www.forestprodjournals.org\/doi\/abs\/10.13073\/FPJ-D-14-00087\" target=\"_blank\" rel=\"noopener noreferrer\">10.13073\/FPJ-D-14-00087.<\/a><\/li>\n<li>Kemp, K.B., Blades, J.J., Klos, Z.P., Hall, T.E., Force, J., Morgan, P., and Tinkham, W.T. 2015. Managing for climate change on federal lands of the western United States: perceived usefulness of climate science, effectiveness of adaptation strategies, and barriers to implementation. <em>Ecology &amp; Society,<\/em> 20, 2, 17, doi: <a href=\"https:\/\/www.ecologyandsociety.org\/vol20\/iss2\/art17\/\" target=\"_blank\" rel=\"noopener noreferrer\">10.5751\/ES-07522-200217.<\/a><\/li>\n<li>Sparks, A.M., Boschetti, L., Tinkham, W.T., Smith, A.M.S., Lannom, K.O., and Newingham, B.A. 2015. An accuracy assessment of the MTBS burned area product for shrub-steppe fires in the northern Great Basin, United States. <em>International Journal of Wildland Fire, <\/em>24, 70-78, doi: <a href=\"http:\/\/www.publish.csiro.au\/wf\/WF14131\" target=\"_blank\" rel=\"noopener noreferrer\">10.1071\/WF14131.<\/a><\/li>\n<li>Keefe, R.F., Eitel, J.U.H., Smith, A.M.S., and Tinkham W.T. 2014. Applications of multi transmitter GPS-VHF in forest engineering. Proceedings, <em>47th International Symposium on Forestry Mechanization and 5<sup>th<\/sup> International Forest Engineering Conference<\/em>, Gerardmer, France.<\/li>\n<li>Smith, A.M.S., Falkowski, M.J., Greenberg, J.A., and Tinkham, W.T. 2014. Remote Sensing of Vegetation Structure, Function, and Condition: Special issue. <em>Remote Sensing of Environment, <\/em>154, 319-321, doi: <a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0034425714001904\" target=\"_blank\" rel=\"noopener noreferrer\">10.1016\/j.rse.2014.05.002.<\/a><\/li>\n<li>Smith, A.M.S., Kolden, C.A., Tinkham, W.T., Talhelm, A., Marshall, J.D., Hudak, A.T., Boschetti, L., Falkowski, M.J., Greenberg, J.A., Anderson, J.W., Kliskey, A.D., Alessa, L., Keefe, R.F., and Gosz, J.R. 2014. Remote sensing the vulnerability of vegetation in natural terrestrial ecosystems. <em>Remote Sensing of Environment, <\/em>154, 322-337, doi: <a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0034425714001850\" target=\"_blank\" rel=\"noopener noreferrer\">10.1016\/j.rse.2014.03.038.<\/a><\/li>\n<li>Saralecos, J.D., Keefe, R.F., Tinkham, W.T., Brooks, R.H., Smith, A.M.S., and Johnson, L.R. 2014. Effects of harvesting systems and bole moisture loss on weight scaling of Douglas-fir sawlogs (<em>Pseudotsuga menziesii <\/em>var. <em>glauca <\/em>Franco). <em>Forests<\/em>, 5, 9, 2289-2306, doi: <a href=\"https:\/\/www.mdpi.com\/1999-4907\/5\/9\/2289\" target=\"_blank\" rel=\"noopener noreferrer\">10.3390\/f5092289.<\/a><\/li>\n<li>Lannom, K.O., Tinkham, W.T., Smith, A.M.S., Abatzoglou, J., Newingham, B.A., Hall, T.E., Morgan, P., Strand, E.K., Paveglio, T.B., Anderson, J.W., and Sparks, A.M. 2014. Defining extreme wildland fires using geospatial data. <em>International Journal of Wildland Fire<\/em>, 23, 322-337, doi: <a href=\"http:\/\/www.publish.csiro.au\/wf\/wf13065\" target=\"_blank\" rel=\"noopener noreferrer\">10.1071\/WF13065.<\/a><\/li>\n<li>Tinkham, W.T., Smith, A.M.S., Link T.E., Marshall, H.P., Falkowski, M.J., and Winstral, A. 2014. Quantifying spatial distribution of snow depth errors from LiDAR using Random Forests. <em>Remote Sensing of Environment<\/em>, 141, 105-115, doi: <a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0034425713003891\" target=\"_blank\" rel=\"noopener noreferrer\">10.1016\/j.rse.2013.10.021.<\/a><\/li>\n<li>Smith, A.M.S., Tinkham, W.T., Roy, D.P., Boschetti, L., Kremens, R.L., Kumar, S.S., Sparks, A.M., and Falkowski, M.J. 2013. Quantification of fuel moisture effects on biomass consumed derived from fire radiative energy retrievals. <em>Geophysical Research Letters<\/em>, 40, 6293-6302, doi: <a href=\"https:\/\/agupubs.onlinelibrary.wiley.com\/doi\/full\/10.1002\/2013GL058232\" target=\"_blank\" rel=\"noopener noreferrer\">10.1002\/2013GL058232.<\/a><\/li>\n<li>Heward, H., Smith, A.M.S., Roy, D.P., Tinkham, W.T., Hoffman, C.M., Morgan, P., and Lannom, K.O. 2013. Is fire severity related to fire intensity? Observations from landscape scale remote sensing. <em>International Journal of Wildland Fire<\/em>, 22, 7, 910-918, doi: <a href=\"http:\/\/www.publish.csiro.au\/WF\/WF12087\" target=\"_blank\" rel=\"noopener noreferrer\">10.1071\/WF12087.<\/a><\/li>\n<li>Tinkham, W.T., Hoffman, C.M., Falkowski, M.J., Smith, A.M.S., Link T.E., and Marshall, H.P. 2013. A methodology to spatially characterize vertical accuracies in LiDAR-derived products. <em>Photogrammetric Engineering and Remote Sensing<\/em>, 79, 8, 709-716, doi: <a href=\"https:\/\/www.ingentaconnect.com\/content\/asprs\/pers\/2013\/00000079\/00000008\/art00002\" target=\"_blank\" rel=\"noopener noreferrer\">10.14358\/PER.79.8.709<\/a>.<\/li>\n<li>Brewer, N.W., Smith, A.M.S., Hatten, J.A., Higuera, P.E., Hudak, A.T., Ottmar, R.D., and Tinkham, W.T. 2013. Fuel moisture influence on Fire-altered carbon in masticated fuels: An experimental study. <em>Journal of Geophysical Research &#8211; Biogeosciences<\/em>, 119, 1-11, doi: <a href=\"https:\/\/agupubs.onlinelibrary.wiley.com\/doi\/full\/10.1029\/2012JG002079\" target=\"_blank\" rel=\"noopener noreferrer\">10.1029\/2012JG002079.<\/a><\/li>\n<li>Tinkham, W.T., Smith, A.M.S., Hoffman, C.M., Hudak, A.T., Falkowski, M.J., Swanson, M.E., and Gessler, P.E. 2012. Investigating the influence of LiDAR ground surface errors on the utility of derived forest inventories. <em>Canadian Journal of Forest Research<\/em>, 42, 413-422, doi: <a href=\"https:\/\/www.nrcresearchpress.com\/doi\/full\/10.1139\/x11-193#.XbJkhmZMFEY\" target=\"_blank\" rel=\"noopener noreferrer\">10.1139\/X11-193.<\/a><\/li>\n<li>Tinkham, W.T., Huang, H., Smith, A.M.S., Shrestha, R., Falkowski, M.J., Hudak, A.T., Link T.E., Glenn, N.F., and Marks, D.G. 2011. A comparison of two open source LiDAR surface classification algorithms. <em>Remote Sensing<\/em>, 3, 638-649, doi: <a href=\"https:\/\/www.mdpi.com\/2072-4292\/3\/3\/638\" target=\"_blank\" rel=\"noopener noreferrer\">10.3390\/rs3030638.<\/a><\/li>\n<li>Creasy, M.B. <sup>GA<\/sup>, Tinkham, W.T., Hoffman, C.M., and Vogeler, J.C. 2021. Potential for individual tree monitoring in ponderosa pine-dominated forests using unmanned aerial system structure from motion point clouds. <em>Canadian Journal of Forest Research,<\/em> 51, doi: <a href=\"https:\/\/sites.warnercnr.colostate.edu\/wtinkham\/wp-content\/uploads\/sites\/114\/2021\/07\/Creasy_etal_2021_CJFR_UAS_Tree_Detection-PROOF.pdf\" target=\"_blank\" rel=\"noopener\">10.1139\/cjfr-2020-0433<\/a>.<\/li>\n<\/ul>\n<p>[\/vc_column_text][\/vc_column][\/vc_row]<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>[vc_row equal_height=&#8221;yes&#8221; css=&#8221;.vc_custom_1573750764659{margin-bottom: -25px !important;}&#8221;][vc_column width=&#8221;1\/2&#8243;][vc_column_text] Swayze, N.P. RA, Tinkham, W.T., Creasy, M.B. GA, Vogler, J.C., Hudak, A.T., Hoffman, C.M. 2022. Influence of UAS flight altitude and speed on aboveground biomass prediction. Remote Sensing, accepted. Swayze, N.P. RA, Tinkham, W.T. 2022. Application of UAS Structure from Motion Point Cloud Detected Tree Heights and DBHs to [&hellip;]<\/p>\n","protected":false},"author":142,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-30","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/sites.warnercnr.colostate.edu\/wtinkham\/wp-json\/wp\/v2\/pages\/30","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sites.warnercnr.colostate.edu\/wtinkham\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sites.warnercnr.colostate.edu\/wtinkham\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sites.warnercnr.colostate.edu\/wtinkham\/wp-json\/wp\/v2\/users\/142"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.warnercnr.colostate.edu\/wtinkham\/wp-json\/wp\/v2\/comments?post=30"}],"version-history":[{"count":31,"href":"https:\/\/sites.warnercnr.colostate.edu\/wtinkham\/wp-json\/wp\/v2\/pages\/30\/revisions"}],"predecessor-version":[{"id":837,"href":"https:\/\/sites.warnercnr.colostate.edu\/wtinkham\/wp-json\/wp\/v2\/pages\/30\/revisions\/837"}],"wp:attachment":[{"href":"https:\/\/sites.warnercnr.colostate.edu\/wtinkham\/wp-json\/wp\/v2\/media?parent=30"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}