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Most Recent 20 TE Publications:

Cui, X., Newman, S., Xu, X., Andrews, A. E., Miller, J., Lehman, S., Jeong, S., Zhang, J., Priest, C., Campos-Pineda, M., Gurney, K. R., Graven, H., Southon, J., Fischer, M. L. 2019. Atmospheric observation-based estimation of fossil fuel CO2 emissions from regions of central and southern California. Science of The Total Environment. 664, 381-391. doi: 10.1016/j.scitotenv.2019.01.081 ( Gurney (CARBON 2013)   )
Maguire, AJ, JUH Eitel, LA Vierling, DM Johnson, KL Griffin, NT Boelman, JE Jensen, HE Greaves, AJH Meddens.Terrestrial lidar scanning reveals fine-scale linkages between microstructure and photosynthetic functioning of small-stature spruce trees at the forest-tundra ecotone. Agricultural and Forest Meteorology. doi: 10.1016/j.agrformet.2019.02.019 ( Eitel (TE 2014)   )  [quad chart]
Prugh, L. R., Sivy, K. J., Mahoney, P. J., Ganz, T. R., Ditmer, M. A., van de Kerk, M., Gilbert, S. L., Montgomery, R. A. 2019. Designing studies of predation risk for improved inference in carnivore-ungulate systems. Biological Conservation. 232, 194-207. doi: 10.1016/j.biocon.2019.02.011 ( Prugh (TE 2014)   )  [quad chart]
Hurtt, G., Zhao, M., Sahajpal, R., Armstrong, A., Birdsey, R., Campbell, E., Dolan, K. A., Dubayah, R., Fisk, J. P., Flanagan, S. A., Huang, C., Huang, W., Johnson, K. D., Lamb, R., Ma, L., Marks, R., O'Leary, D., O'Neil-Dunne, J., Swatantran, A., Tang, H. 2019. Beyond MRV: High-resolution forest carbon modeling for climate mitigation planning over Maryland, USA. Environmental Research Letters. doi: 10.1088/1748-9326/ab0bbe ( Hurtt (CMS 2014)  Hurtt (CMS 2016)   )
Kolus, H. R., Huntzinger, D. N., Schwalm, C. R., Fisher, J. B., McKay, N., Fang, Y., Michalak, A. M., Schaefer, K., Wei, Y., Poulter, B., Mao, J., Parazoo, N. C., Shi, X. 2019. Land carbon models underestimate the severity and duration of drought's impact on plant productivity. Scientific Reports. 9(1). doi: 10.1038/s41598-019-39373-1 ( Huntzinger (CARBON 2013)   )
Bogard, M. J., Kuhn, C. D., Johnston, S. E., Striegl, R. G., Holtgrieve, G. W., Dornblaser, M. M., Spencer, R. G. M., Wickland, K. P., Butman, D. E. 2019. Negligible cycling of terrestrial carbon in many lakes of the arid circumpolar landscape. Nature Geoscience. doi: 10.1038/s41561-019-0299-5 ( Striegl (TE 2014)   )  [quad chart]
Eitel, J. U., Maguire, A. J., Boelman, N., Vierling, L. A., Griffin, K. L., Jensen, J., Magney, T. S., Mahoney, P. J., Meddens, A. J., Silva, C., Sonnentag, O. 2019. Proximal remote sensing of tree physiology at northern treeline: Do late-season changes in the photochemical reflectance index (PRI) respond to climate or photoperiod? Remote Sensing of Environment. 221, 340-350. doi: 10.1016/j.rse.2018.11.022 ( Eitel (TE 2014)   )  [quad chart]
Cooley, S. W., Smith, L. C., Ryan, J. C., Pitcher, L. H., Pavelsky, T. M. 2019. Arctic-Boreal lake dynamics revealed using CubeSat imagery. Geophysical Research Letters. doi: 10.1029/2018GL081584 ( Smith (TE 2016)   )
Walvoord, M. A., Voss, C. I., Ebel, B. A., Minsley, B. J. 2019. Development of perennial thaw zones in boreal hillslopes enhances potential mobilization of permafrost carbon. Environmental Research Letters. 14(1), 015003. doi: 10.1088/1748-9326/aaf0cc ( Striegl (TE 2014)   )  [quad chart]
Rey, D. M., Walvoord, M., Minsley, B., Rover, J., Singha, K. 2019. Investigating lake-area dynamics across a permafrost-thaw spectrum using airborne electromagnetic surveys and remote sensing time-series data in Yukon Flats, Alaska. Environmental Research Letters. 14(2), 025001. doi: 10.1088/1748-9326/aaf06f ( Striegl (TE 2014)   )  [quad chart]
Yi, Y., Kimball, J. S., Chen, R. H., Moghaddam, M., Miller, C. E. 2019. Sensitivity of active-layer freezing process to snow cover in Arctic Alaska. The Cryosphere. 13(1), 197-218. doi: 10.5194/tc-13-197-2019 ( Kimball (TE 2014)  Miller (TE 2014)   )  [quad chart]
Boelman, N. T., Liston, G. E., Gurarie, E., Meddens, A. J. H., Mahoney, P. J., Kirchner, P. B., Bohrer, G., Brinkman, T. J., Cosgrove, C. L., Eitel, J. U. H., Hebblewhite, M., Kimball, J. S., LaPoint, S., Nolin, A. W., Pedersen, S. H., Prugh, L. R., Reinking, A. K., Vierling, L. A. 2019. Integrating snow science and wildlife ecology in Arctic-boreal North America. Environmental Research Letters. 14(1), 010401. doi: 10.1088/1748-9326/aaeec1 ( Boelman (TE 2014)  Prugh (TE 2014)   )  [quad chart]
Arevalo, P., Olofsson, P., Woodcock, C. E. 2019. Continuous monitoring of land change activities and post-disturbance dynamics from Landsat time series: A test methodology for REDD+ reporting. Remote Sensing of Environment. doi: 10.1016/j.rse.2019.01.013 ( Olofsson (CMS 2015)   )  [quad chart]
Etiope, G., Ciotoli, G., Schwietzke, S., Schoell, M. 2019. Gridded maps of geological methane emissions and their isotopic signature. Earth System Science Data. 11(1), 1-22. doi: 10.5194/essd-11-1-2019 ( Schwietzke (IDS 2016)   )
Bell, D. M., Gregory, M. J., Kane, V., Kane, J., Kennedy, R. E., Roberts, H. M., Yang, Z. 2018. Multiscale divergence between Landsat- and lidar-based biomass mapping is related to regional variation in canopy cover and composition. Carbon Balance and Management. 13(1). doi: 10.1186/s13021-018-0104-6 ( Kennedy (CMS 2011)   )
Wright, K. S., Rocha, A. V. 2018. A test of functional convergence in carbon fluxes from coupled C and N cycles in Arctic tundra. Ecological Modelling. 383, 31-40. doi: 10.1016/j.ecolmodel.2018.05.017 ( Kremers (NESSF 2015)   )
Potter, C. 2018. Recovery Rates of Wetland Vegetation Greenness in Severely Burned Ecosystems of Alaska Derived from Satellite Image Analysis. Remote Sensing. 10(9), 1456. doi: 10.3390/rs10091456 ( Miller (TE 2014)   )
Peng, B., Guan, K., Pan, M., Li, Y. 2018. Benefits of Seasonal Climate Prediction and Satellite Data for Forecasting U.S. Maize Yield. Geophysical Research Letters. 45(18), 9662-9671. doi: 10.1029/2018GL079291 ( Guan (CMS 2016)  , 1 citations )  [quad chart]
Jiao, Z., Zhang, X., Breon, F., Dong, Y., Schaaf, C. B., Roman, M., Wang, Z., Cui, L., Yin, S., Ding, A., Wang, J. 2018. The influence of spatial resolution on the angular variation patterns of optical reflectance as retrieved from MODIS and POLDER measurements. Remote Sensing of Environment. 215, 371-385. doi: 10.1016/j.rse.2018.06.025 ( Schaaf (TERAQEA 2013), 2 citations )
Soriano-Luna, M., Angeles-Perez, G., Guevara, M., Birdsey, R., Pan, Y., Vaquera-Huerta, H., Valdez-Lazalde, J., Johnson, K., Vargas, R. 2018. Determinants of Above-Ground Biomass and Its Spatial Variability in a Temperate Forest Managed for Timber Production. Forests. 9(8), 490. doi: 10.3390/f9080490 ( Vargas (CMS 2013)  Vargas (CMS 2016)   )