John Gamon

John Gamon

  • Contact Information
  • Publications
  • Background
  • Interests
  • Grants
  • Advising
  • Courses Taught

Contact Information

TitleQuantitative Remote Sensing Scientist
Faculty RankProfessor
Address307 South Hardin Hall
3310 Holdrege StLincoln NE
68583–0973

East Campus
Phone
  • office: 402-472-7529
  • fax: 402-472-4915
E-mailjgamon@unl.edu
VitaeDownload file

 

Selected Publications

Bai G, Ge Y, Leavitt B, Gamon JA, Scoby D. (2023) Goniometer in the air: Enabling BRDF measurement of crop canopies using a cable-suspended plant phenotyping platform. Biosystems Engineering. 230:344-360. Online
Engstrom C, Williamson S, Gamon J, Quarmby L (2023) Corrigendum to “Seasonal development and radiative forcing of red snow algal blooms on two glaciers in British Columbia, Canada, summer 2020” Remote Sensing of Environment. 113873. 10.1016/j.rse.2023.113873. Annual Report (2023)
Gamon JA Revisiting the carbon-biodiversity connection: Commentary on Schuldt et al. 2023, Global Change Biology, DOI:10.1111/gcb.16829, GCB-23-1045. Online
Gamon JA, Wang R, Russo SE (2023) Contrasting photoprotective responses of forest trees revealed using PRI light responses sampled with airborne imaging spectrometry New Phytologist. 238:1318-1332. doi: 10.1111/nph.18754 Online
Huemmrich FK, Gamon J, Campbell P, Mora M, Vargas S, Almanza B, Tweedie C. (2023) 20 Years of Change in Tundra NDVI from Coupled Field and Satellite Observations. Environmental Research Letters. ERL-116095. Online
Wang R, Bowling DR, Gamon JA, Smith KR, Yu R, Hmimina G, Masahito U, Noormets A, Kolb TE, Richardson AD, Bourque CPA, Bracho R, Blanken PD, Black TA, Arain MA (2023). Snow-corrected vegetation indices for improved gross primary productivity assessment in North American evergreen forests. Agricultural and Forest Meteorology. 340:109600. https://doi.org/10.1016/j.agrformet.2023.109600.
Wang R, Springer KR. Gamon JA (2023) Confounding effects of snow cover on remotely sensed vegetation indices of evergreen and deciduous trees: An experimental study. Global Change Biology. https://doi.org/10.1111/gcb.16916. Online
Wang, R., Gamon, J., Russo, S. (2023). Airborne Hyperspectral Reflectance Indian Cave Nebraska Multi-Day 1 m V001 [Data set]. NASA EOSDIS Land Processes DAAC. Accessed 2023-01-08 from https://doi.org/10.5067/Community/Airborne/AEHYPICNE1M.001
Broghan M. Erland, Andrew K. Thorpe, John A. Gamon (2022) Recent advances towards transparent methane emissions monitoring: a review. Environmental Science and Technology. 56(23): 16567-16581. https://doi.org/10.1021/acs.est.2c02136. Online
Cavender-Bares, J., A. K. Schweiger, J. A. Gamon, H. Gholizadeh, K. Helzer, C. Lapadat, M. D. Madritch, P. A. Townsend, Z. Wang, and S. E. Hobbie. 2022. Remotely detected aboveground plant function predicts belowground processes in two prairie diversity experiments. Ecological Monographs 92(1):e01488. 10.1002/ecm.1488Online
Engstrom CB, Williamson SN, Gamon JA, Quarmby LM (2022) Seasonal dynamics and radiative forcing of red snow algae blooms in British Columbia, Canada. Remote Sensing of Environment. 280:113164. https://doi.org/10.1016/j.rse.2022.113164
Erland, B.M., Adams, C., Darlington, A., Smith, M.L., Thorpe, A.K., Wentworth, G.R., Conley, S., Liggio, J., Li, S.M., Miller, C.E., Gamon, J.A. 2022. Comparing airborne algorithms for greenhouse gas flux measurements over the Alberta oil sands. Atmos. Meas. Tech., 15, 5841–5859, 2022 https://doi.org/10.5194/amt-15-5841-2022 Online
Gholizadeh, H., Dixon, A.P., Plan, K.H., McMillan, N.A., Hamilton, R.G., Fuhlendorf, S.D., Cavender-Bares, J., Gamon, J.A. 2022. Using airborne and DESIS imaging spectroscopy to map plant diversity across the largest contiguous tract of tallgrass prairie on earth. Remote Sensing of Environment 281 (2022) 11325. https://doi.org/10.1016/j.rse.2022.113254Online
Liu Y., Wu Chaoyang, Tian F, Wang X, Gamon JA, Wong CYS, Zhang X, Gonsamo A. Jassal RS. (2022) Modeling plant phenology by MODIS derived photochemical reflectance index (PRI) Agricultural and Forest Meteorology. 324:109095. AGRFORMET-D-22-00555R1
Oehri J, Schaepman-Strub G, Kim J-S, Grysko R, Kropp H, Grünberg H Zemlianskii V, Sonnentag O, Euskirchen ES, Chacko MR, Muscari G, Blanken PD, Dean JF, di Sarra A, Harding RJ, Sobota I, Kutzbach L, Plekhanova E, Riihelä A, Boike J, Miller NB, Beringer J, López-Blanco E, Stoy P, Sullivan RC, Kejna M, Parmentier F-J W, Gamon JA, Mastepanov M, Wille C, Jackowicz-Korczynski M, Karger DN, Quinton WL, Putkonen J, van As D, Christensen TR, Hakuba MZ, Stone RS, Metzger S, Vandecrux B, Frost GV, Wild M, Hansen B, Meloni D, Domine F, te Beest M, Sachs T, Kalhori A, Rocha AV, Williamson SN, Morris S, Atchley AL, Essery R, Runkle BRK, Holl D, Riihimaki LD, Iwata H, Schuur EAG, Cox CJ, Grachev AA, McFadden JP, Fausto RS, Göckede M, Ueyama M, Pirk N, de Boer G, Bret-Harte MS, Leppäranta, M, Steffen K, Friborg T, Ohmura, A, Edgar CW, Olofsson, J, Chambers SD. Vegetation type is an important predictor of the arctic summer land surface energy budget. (2022) Nature Communications. 13:6379. https://doi.org/10.1038/s41467-022-34049-3Online
Quiros, J., Siegmann, B., Damm, A., Wang, R., Gamon, J., Krieger, V., Sagar, D., Muller, O., Rascher, U. (2022). Fractal geometry and the downscale of Sun-induced Chlorophyll (SIF) imagery. Encyclopedia of Mathematical Geosciences, Encyclopedia of Earth Sciences Series. Springer.
Sapes, G., Lapadat, C., Schweiger, A.K., Juzwik, J., Montgomery, R., Gholizadeh, H., Townsend, P.A., Gamon, J.A., Cavender-Bares, J. 2022. Canopy spectral reflectance detects oak wilt at the landscape scale using phylogenetic discrimination. Remote Sensing of Environment 273 (2022) 112961. https://doi.org/10.1016/j.rse.2022.112961
Wang, R., Gamon, J., Cavender-Bares, J. (2022). Seasonal patterns of prairie spectral diversity at leaf and canopy scales. Remote Sensing of Environment, 280, 113169.
Wang, R., Gamon, J., Hmimina, G., Cogliati, S., Zygielbaum, A., Arkebauer, T., Suyker, A. (2022). Harmonizing solar induced fluorescence across spatial scales, instruments, and extraction methods using proximal and airborne remote sensing: A multi-scale study in a soybean field. REMOTE SENSING OF ENVIRONMENT, 281.
Camps-Valls, G., Campos-Taberner, M., Moreno-Martinez, A., Walther, S., Duveiller, G., Cescatti, A., Mahecha, M.D., Munoz-Mari, J., Garcia-Haro, F.J., Guanter, L., Jung, M., Gamon, J.A., Reichstein, M., Running, S.W. 2021. A Unified Vegetation Index for Quantifying the Terrestrial Biosphere. Science Advances. pp. 1-10.Online
Cavender-Bares, J., Schweiger, A., Gamon, J., Gholizadeh, H., Helzer, K., Lapadat, C., Madritch, M., Townsend, P., Wang, Z., Hobbie, S. (2021). Remotely detected plant function in two midwestern prairie grassland experiments reveals belowground processes. Ecological Monographs. https://doi.org/10.1002/ecm.1488 Online
Chu, Luo, X., Ouyang, Z., Chan, S., Dengel, S., Biraud, S., Torn, M., Metzger, S., Kumar, J., Arain, A., Arkebauer, T., Baldocchi, D., Bernacchi, C., Billesbach, D., Black, T., Blanken, P., Bohrer, G., Bracho, R., Brown, S., Brunsell, N., Chen, J., Chen, X., Clark, K., Desai, A., Duman, T., Durden, D., Humphreys, E., Fares, S., Forbrich, I., Gamon, J., Gough, C., Griffis, T., Hollinger, D., Helbig, M., Ikawa, H., Iwata, H., Ju, Y., Knowles, J., Knox, J., Kobayashi, H., Kolb, T., Law, B., Lee, X., Litvak, M., Liu, H., Munger, J., Noormets, A., Novick, K., Oberbauer, S., Oechel, W., Oikawa, P., Papuga, S., Pendall, E., Prajapati, P., Prueger, J., Quiton, W., Richardson, A., Russell, E., Scott, R., Starr, G., Staebler, R., Stoy, P., Stuart-Haëntjens, E., Sonnentag, O., Sullivan, R., Suyker, A., Ueyama, M., Vargas, R., Wood, J., Zona, D. (2021). Footprint representativeness of eddy-covariance flux measurements across Ameriflux sites. Agricultural and Forest Meteorology.
Schweiger, A., Cavender-Bares, J., Townsend, P., Madritch, M., Grossman, J., Gholizadeh, H., Wang, R., Gamon, J. (2021). Coupling spectral and resource-use complementarity in experimental grassland and forest communites. Proc. R. Soc(288). Online
Siegmann, B., Cendrero-Mateo, M.P., Cogliati, S., Damm, A., Gamon, J., Herrera, D., Jedmowski, C., Junker-Frohn, L.V., Kraska, T., Muller, O., Rademske, P., Van Der Tol, C., Quiros-Vargas, J., Yang, P., Rascher, U. 2021. Downscaling of far-red solar-induced chlorophyll fluorescence of different crops from canopy to leaf level using a diurnal data set acquired by the airborne imaging spectrometer HyPlant. Remote Sensing of Environment. 264, 112609.Online
Wang, R., Gamon, J., Moore, R., Zygielbaum, A., Arkebauer, T., Perk, R., Leavitt, B., Cogliati, S., Wardlow, B., Qi, Y. (2021). Errors associated with atmospheric correction methods for airborne imaging spectroscopy: Implications for vegetation indices and plant traits. Remote Sensing of Environment, 265.
Yu, R., Hmimina, G., Billesbach, D. P., Lyapustin, A., Wang, Y., Jingchao, Z., Wang, R., Gamon, J. A. (2021). ABoVE: Angular-corrected MODIS MAIAC Reflectance across Alaska and Canada, 2000-2017. Oak Ridge National Laboratory, DAAC. https://doi.org/10.3334/ORNLDAAC/1858Online
Meireles, J.E., Cavender-Bares, J., Townsend, P.A., Ustin, S., Gamon, J.A., Schweiger, A.K., Schaepman, M.E., Asner, G.P., Martin, R.E., Singh, A., Schrodt, F., Chlus, A., O'Meara, B.C. 2020. Leaf Reflectance Spectra Capture the Evolutionary History of Seed Plants. New Phytologist. 228:485-493.Online
Miao, G., Guan, K. Y., Suyker, A., Yang, X., Arkebauer, T., Walter-Shea, E., Hmimina, G. Y., Gamon, J., Franz, T., Frankenberg, C., Berry, J. A., Wu, G. (2020). Varying contributions of drivers to the relationship between canopy photosynthesis and far-red sun-induced fluorescence for two maize sites at different temporal scales. Journal of Geophysical Research - Biogeosciences. 125(2) https://doi.org/10.1029/2019JG005051Online
Wang, R., Gamon, J. 2020. Detecting intra- and inter-annual variability in gross primary productivity of a North American grassland using MODIS MAIAC data. Agricultural and Forest Meteorology. 281 (2020) 107859.Online
Fernandez-Martinez, M., Yu, R., Gamon, J. A., Hmimina, G., Filella, I., Balzarola, M., Stocker, B., Penuelas, J. 2019. Monitoring spatial and temporal variabilities of gross primary production using MAIAC MODIS data. Remote Sensing, 11(7), 874.Online
Gamon, J., Somers, B., Malenovsky, Z., Middleton, E., Rascher, U., Schaepman, M. 2019. Assessing vegetation function with imaging spectroscopy. Surveys in Geophysics. 40(3):489-513.Online
Wang, R., Gamon, J. 2019. Remote sensing of terrestrial plant biodiversity. Remote Sensing of Environment. 231, 111218.Online
Filella, I., Zhang, C., Seco, R., Potosnak, M., Guenther, A., Karl, T., Gamon, J., Pallardy, S., Gu, L., Kim, S., Balzarolo, M., Fernandez-Martinez, M., Peñuelas, J. (2018). A MODIS photochemical reflectance index (PRI) as an estimator of isoprenoid emiss
Gamon, J., Hmimina, G. Y., Miao, G., Guan, K., Springer, K., Wang, R., Yu, R., Gholizadeh, H., Moore, R., Walter-Shea, E., Arkebauer, T., Suyker, A., Franz, T., Wardlow, B., Wedin, D. A. (2018). Imaging spectrometry and fluorometry in support of FLEX: wha
Gonzalez del Castillo, E., Sanchez-Azofeifa, A., Paw-U, K. T., Gamon, J., Quesada-Avendaño, M. (2018). Integrating proximal broad-band vegetation indices and carbon fluxes to model gross primary productivity in a tropical dry forest. Environmental Researc
Schweiger, A. K., Cavender-Bares, J., Townsend, P., Hobbie, S. E., Madritch, M. D., Wang, R., Tilman, D., Gamon, J. (2018). Leaf spectral diversity explains productivity, functional and phylogenetic diversity in a grassland experiment. Nature Ecology & Ev
Wang, R., Gamon, J., Schweiger, A. K., Cavender-Bares, j., Kothari, S., Townsend, P., Zygielbaum, A. (2018). Influence of species richness, evenness and composition on optical diversity: a simulation study. Remote Sensing of Environment(211), 218-228.
Williamson, S. N., Anslow, F. S., Clarke, G., Gamon, J., Jarosch, A. H., Hik, D. S. (2018). Spring warming in the southwest Yukon is not amplified by the snow albedo feedback. Nature: Scientific Reports, 8(9000).
Cavender-Bares, J., Gamon, J., Hobbie, S. E., Madritch, M. D., Meireles, J. E., Schweiger, A. K., Townsend, P. A. (2017). Harnessing plant spectra to integrate the biodiversity sciences across biological and spatial scales. American Journal of Botany, 104Online
Gholizadeh, H., Gamon, J., Zygielbaum, A., Wang, R., Schweiger, A. K., Cavender-Bares, J. (2018). Remote sensing of biodiversity: Soil correction and data dimension reduction methods improve assessment of α-diversity (species richness) in prairie ecosysteOnline
Gitelson, A., Gamon, J. A., Solovchenko, A. (2017). Multiple drivers of seasonal change in PRI: Implications for photosynthesis 1. Leaf level. Remote Sensing of Environment, 191, 110-116.Online
Gitelson, A., Gamon, J. A., Solovchenko, A. (2017). Multiple drivers of seasonal change in PRI: Implications for photosynthesis 2. Stand level. Remote Sensing of Environment, 190, 198-206.Online
Kothari, S., Cavender-Bares, J., Bitan, K., Verhoeven, A. S., Wang, R., Montgomery, R. A., Gamon, J. (2018). Community-wide consequences of variation in photoprotective physiology among prairie plants. Photosynthetica.Online
Springer, K. R., Wang, R., Gamon, J. (2017). Parallel seasonal patterns of photosynthesis, fluorescence, and reflectance indices in boreal trees. Remote Sensing, 9(7).Online
Wang, R., Gamon, J., Cavender-Bares, J., Townsend, P. A., Zygielbaum, A. (2017). The spatial sensitivity of the spectral diversity-biodiversity relationship: an experimental test in a prairie grassland. Ecological Applications.Online
Williamson, S. N., Hik, D. S., Gamon, J., Jarosch, A. H., Anslow, F. S., Clarke, G. K.C., Rupp, T. S. (2017). Spring and summer monthly MODIS LST is inherently biased compared to air temperature in snow covered sub-Arctic mountains. Remote Sensing of EnviOnline
Gamon JA, Huemmrich KF, Wong CY, Ensminger I, Garrity S, Hollinger DY, Noormets A, Penuelas J. 2016. A remotely sensed pigment index reveals photosynthetic phenology in evergreen conifers. Proceedings of the National Academy of Sciences. University of Neb
Wang, R., Gamon, J., Montgomery, R. A., Townsend, P. A., Zygielbaum, A., Bitan, K., Tilman, D., Cavender-Bares, J. 2016. Seasonal variation in the NDVI-species richness relationship in a prairie grassland experiment (Cedar Creek). Remote Sensing, 8(128):1Online
Wehlage DC, Gamon JA, Thayer D, Hildebrand DV. 2016. Interannual Variability in Dry Mixed-Grass Prairie Yield: A Comparison of MODIS, SPOT, and Field Measurements. Remote Sensing. 2016 Oct 22;8(10):872.Online
Gamon JA, Kovalchuk O, Wong CYS, Harris A, Garrity SR (2015). Monitoring seasonal and diurnal changes in photosynthetic pigments with automated PRI and NDVI sensors. Biogeosciences 12: 4149-4159. doi:10.5194/bg-12-4149-2015
Gamon, J.A. 2015. Optical sampling of the flux tower footprint. Biogeosciences 12: 4509-4523. doi:10.5194/bg-12-4509-2015
Gitelson A, Gamon JA (2015) The need for a common basis for defining light-use efficiency: implications for productivity estimation. Remote Sensing of Environment 156:196-201.Online
Gilmanov, T. G., Baker, J. M., Bernacchi, C. J., Billesbach, D. P., Burba, G. G., Castro, S., Chen, J., Eugster, W., Fischer, M. L., Gamon, J. A., Gebremedhin, M. T., Glenn, A. J., Griffis, T. J., Hatfield, J. L., Heuer, M. W., Howard, D. M., Leclerc, M. Online
Williamson SN, Hik DS, Gamon JA, Kavanaugh JL, Flowers GE (2014) Estimating mean surface air temperature from MODIS Land Surface Temperature observations in a sub-Arctic alpine environment. Remote Sensing 6(2):946-963. DOI: 10.3390/rs6020946.
Gholizadeh, H., Gamon, J., Zygielbaum, A., Hmimina, G. Y., Yu, R., Moore, R. M., Helzer, C. J., Townsend, P. A., Schweiger, A. K., Cavender-Bares, J. (in press). Detecting prairie biodiversity with airborne remote sensing. Remote Sensing of Environment. 2Online

Background

Education

DegreeMajorInstitutionYear Awarded
Doctorate of PhilosophyBotanyUniversity of California-Davis1989
Master of ScienceBotanyUniversity of California-Davis1986
Bachelor of ScienceBiologyYale University1979

 

Affiliations

 

Websites

 

SNR Program Areas

  • Applied Climate and Spatial Science
  • Applied Ecology

Areas of Interest/Expertise

  • Remote Sensing

Grants

Currently this page only displays grants that were awarded on 1/1/ 2009 to the present. If a grant was awarded prior to 1/1/ 2009 and is still active, it will not be displayed on this page.

Grant TitleAssessing forest health using advanced remote sensing approaches
Starting Date03/04/2022

Investigator(s)

Ending Date09/30/2026
Funding Level$358,500.00
Funding AgencyMcIntire-Stennis Funding Program

 

Grant TitleLong-Term Maize-Based Agro-Ecosystem Core Sites as Part of the AmeriFlux Management Project Network
Starting Date10/01/2020

Investigator(s)

Ending Date09/30/2025
Funding Level$113,000.00
Funding AgencyUniversity of California-Berkeley National Lab

 

Grant TitleMRA: Seasonality of photosynthesis
Starting Date09/10/2019

Investigator(s)

Ending Date12/31/2022
Funding Level$122,913.00
Funding AgencyUniversity of Utah

 

Grant TitleESA PhotoProxy Program
Starting Date05/13/2019

Investigator(s)

Ending Date05/14/2019
Funding Level$88,010.00
Funding AgencyForschungszentrum

 

Grant TitleAirborne Fluorescence - International Meeting and Workshop
Starting Date09/26/2017

Investigator(s)

Ending Date09/29/2017
Funding Level$4,000.00
Funding AgencyARD Strategic Fund

 

Advising

Graduate Programs

Master of Applied Science

Master of Science in Natural Resource Sciences
including specializations in

  • Applied Ecology
  • Bio-Atmospehric Interactions
  • Geographic Information Systems
  • Remote Sensing

Doctorate of Philosophy in Natural Resource Sciences
including specializations in

  • Applied Ecology
  • Bio-Atmospehric Interactions

Courses Taught

Course NumberCourse TitleFall Even YearsFall Odd YearsSpring Even YearsSpring Odd YearsSummer SessionCross Listing
NRES 218Introduction to Geospatial TechnologiesXXXX
NRES 421/821Field Techniques in Remote SensingXGEOG 421/821
NRES 427/827Introduction to the Global Positioning System (GPS)XXGEOG/NRES 427/827
NRES 443Global Change and EcosystemsXX
NRES 898Special Topics: New Directions in BiodiveristyXX