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CCE



 

Most Recent 20 CCE Publications:

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]
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]
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)   )
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 (IDS 2012)  Miller (TE 2014)   )  [quad chart]
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]
Zhang, Y., Li, W., Sun, G., King, J. S. 2019. Coastal wetland resilience to climate variability: A hydrologic perspective. Journal of Hydrology. 568, 275-284. doi: 10.1016/j.jhydrol.2018.10.048 ( King (CARBON 2013)   )
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)   )
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)   )
Holmquist, J., Windham-Myers, L., Bernal, B., Byrd, K. B., Crooks, S., Gonneea, M. E., Herold, N., Knox, S. H., Kroeger, K., McCombs, J., Megonigal, J. P., Meng, L., Morris, J. T., Sutton-Grier, A. E., Troxler, T. G., Weller, D. 2018. Uncertainty in United States coastal wetland greenhouse gas inventorying. Environmental Research Letters. doi: 10.1088/1748-9326/aae157 ( Windham-Myers (CMS 2014)  , 1 citations )  [quad chart]
Collister, B. L., Zimmerman, R. C., Sukenik, C. I., Hill, V. J., Balch, W. M. 2018. Remote sensing of optical characteristics and particle distributions of the upper ocean using shipboard lidar. Remote Sensing of Environment. 215, 85-96. doi: 10.1016/j.rse.2018.05.032 ( Balch (CARBON 2013)   )
Liu, J., Bowman, K., Parazoo, N. C., Bloom, A. A., Wunch, D., Jiang, Z., Gurney, K. R., Schimel, D. 2018. Detecting drought impact on terrestrial biosphere carbon fluxes over contiguous US with satellite observations. Environmental Research Letters. 13(9), 095003. doi: 10.1088/1748-9326/aad5ef ( Bowman (CMS 2014)  Bowman (CMS 2016)  Lauvaux (CMS 2013)   )  [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 )
Liu, J., Bowman, K., Parazoo, N. C., Bloom, A. A., Wunch, D., Jiang, Z., Gurney, K. R., Schimel, D. 2018. Detecting drought impact on terrestrial biosphere carbon fluxes over contiguous US with satellite observations. Environmental Research Letters. 13(9), 095003. doi: 10.1088/1748-9326/aad5ef ( Bowman (CMS 2014)  Bowman (CMS 2016)  Lauvaux (CMS 2013)   )  [quad chart]
Liu, J., Bowman, K., Parazoo, N. C., Bloom, A. A., Wunch, D., Jiang, Z., Gurney, K. R., Schimel, D. 2018. Detecting drought impact on terrestrial biosphere carbon fluxes over contiguous US with satellite observations. Environmental Research Letters. 13(9), 095003. doi: 10.1088/1748-9326/aad5ef ( Bowman (CMS 2014)  Bowman (CMS 2016)  Lauvaux (CMS 2013)   )  [quad chart]
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]
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]
Zhang, Q., Phillips, R. P., Manzoni, S., Scott, R. L., Oishi, A. C., Finzi, A., Daly, E., Vargas, R., Novick, K. A. 2018. Changes in photosynthesis and soil moisture drive the seasonal soil respiration-temperature hysteresis relationship. Agricultural and Forest Meteorology. 259, 184-195. doi: 10.1016/j.agrformet.2018.05.005 ( Vargas (CARBON 2013)   )
Chen, Y., Langenbrunner, B., Randerson, J. T. 2018. Future Drying in Central America and Northern South America Linked With Atlantic Meridional Overturning Circulation. Geophysical Research Letters. 45(17), 9226-9235. doi: 10.1029/2018GL077953 ( Randerson (CMS 2016)   )
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)   )