Jonathan Greenberg

Photo of Jonathan Greenberg, Extension

Jonathan Greenberg

Associate Professor

Summary

My research centers on addressing questions of the impacts of climate change and land use/land cover change on vegetated ecosystems using remote sensing data.  My research ranges across scales from individual plants to the globe, across many terrestrial and aquatic ecosystems, and utilizes state-of-the-art remote sensing imagery including hyperspectral, hyperspatial, multi-temporal, thermal, and LiDAR data.

Education

B.S. Boston University, 1996
Ph.D. University of California at Davis, 2004

Honors and Awards

  • University of Illinois at Urbana Champaign List of Teachers Ranked as Excellent by Their Students, Introduction to Remote Sensing (GEOG/NRES 477). Spring 2015.
  • National Research Council (NRC) Postdoctoral Research Associateship.
  • NASA Earth System Science Graduate Student Fellowship.
  • Graduated with Distinction in Biology, May 1996
  • Graduated Cum Laude , May 1996.

News & Journal Articles, Fact Sheets, Reports...

Journals
Estimation of Fractional Plant Lifeform Cover for the Conterminous United States Using Landsat Imagery and Airborne LiDAR A. Parra, J.A. Greenberg 2022, IEEE Transactions on Geoscience and Remote Sensing 60, 1-14
How interactions between wildfire and seasonal soil moisture fluxes drive nitrogen cycling in Northern Sierra Nevada forests M.K. Brady, E.J. Hanan, M.B. Dickinson, J.R. Miesel, L. Wade, J. Greenberg 2022, International Journal of Wildland Fire. 31 (2022) 786–798
Drivers and predictions of ice phenology in mountain lakes in the Western United States derived from remote sensing. Caldwell, T.J., S. Chandra, T.P. Albright, A.A. Harpold, T. Dilts, J.A. Greenberg, S. Sadro, and M.D. Dettinger. 2021, Limnology and Oceanography.
Unraveling the Controls on Snow Disappearance in Montane Conifer Forests Using Multi-Site Lidar. Safa, H., Krogh, S. A., Greenberg, J., Kostadinov, T. S., & Harpold, A. A. 2021, Water Resources Research, 57(12), e2020WR027522
Phenology-based classification of invasive annual grasses to the species level. Weisberg, P. J., Dilts, T. E., Greenberg, J. A., Johnson, K. N., Pai, H., Sladek, C., … Ready, A. 2021, Remote Sensing of Environment, 263, 112568
Increasing the Efficacy of Forest Thinning for Snow Using High-Resolution Modeling: A Proof of Concept in the Lake Tahoe Basin, California, USA Harpold, A.A., Krogh, S., Kohler, M., Eckberg, D., Greenberg, J., Sterle, G., and Broxton, P.D. 2020, Ecohydrology
A spatialized classification approach for land cover mapping using hyperspatial imagery ZouY., Greenberg, J. 2019, Remote Sensing of Environment Vol(232)
Use of multispectral satellite remote sensing to assess mixing of suspended sediment downstream of large river confluences. Muhammad, U., Rhoads, B., Greenberg, J. 2018, Journal of Hydrology, 556, 325-338.
Effect of spatial filtering on characterizing soil properties from imaging spectrometer data. Dutta, D., Kumar, P., Greenberg, J. 2017, Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10(9), 4149-4170.
Effects of temporally external auxiliary data on model-based inference. Hou, Z., Xu, Q., Greenberg, J., Liu, J., Heiskanen, J., Pitkänen, S., Packalen, P. 2017, Remote Sensing of Environment, 198, 150-159.
Quantifying environmental limiting factors on tree cover using geospatial data. Greenberg, J.A., M.J. Santos, S.Z. Dobrowski, V.C. Vanderbilt, and S.L. Ustin. 2015, PLOS One 10(2): e0114648.
Using LiDAR data analysis to estimate changes in insolation under largescale riparian deforestation. Greenberg, J.A., E.L. Hestir, D. Riano, G.J. Scheer and S.L. Ustin. 2012, Journal of the American Water Resources Association 48(5): 939948.
Least cost distance analysis for spatial interpolation. Greenberg, J.A., C. Rueda, E.L. Hestir, M.J. Santos and S.L. Ustin. 2011, Computers & Geosciences 37:272276.
Changes in Climatic Water Balance Drive Downhill Shifts in Plant Species’ Optimum Elevations Shawn M. Crimmins, Solomon Z. Dobrowski, Jonathan A. Greenberg, John T. Abatzoglou, Alison R. Mynsberge 2011, Science Vol. 331, Issue 6015, pp. 324-327
Limitations on maximum tree density using hyperspatial remote sensing and environmental gradient analysis. Greenberg, J. A., S. Z. Dobrowski, and V. C. Vanderbilt. 2009, Remote Sensing of Environment 113(1): 94101.
A bottom-up approach to vegetation mapping of the Lake Tahoe Basin using hyperspatial image analysis. Greenberg, J.A., S.Z. Dobrowski, C.M. Ramirez, J.L. Tuil, and S.L. Ustin. 2006, Photogrammetric Engineering & Remote Sensing 72(5): 581589. Special issue on “Mapping from High-Resolution Satellite Imagery”.
Survival analysis of a neotropical rainforest using multitemporal satellite imagery. Greenberg, J. A., S. C. Kefauver, H. C. Stimson, C. J. Yeaton, and S. L. Ustin. 2005, Remote Sensing of Environment 96(2):202211.
Shadow allometry: estimating tree structural parameters using hyperspatial image analysis. Greenberg, J. A., S. Z. Dobrowski, and S. L. Ustin. 2005, Remote Sensing of Environment. 97(1):1525.