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206 Publication(s) Matched

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Tang, H., Swatantran, A., Barrett, T., DeCola, P., Dubayah, R. 2016. Voxel-Based Spatial Filtering Method for Canopy Height Retrieval from Airborne Single-Photon Lidar. Remote Sensing. 8(9), 771. doi: 10.3390/rs8090771 ( Dubayah (CMS 2011)  Dubayah (TE 2011)  , 15 citations )
Huang, J., Gurney, K. R. 2016. The variation of climate change impact on building energy consumption to building type and spatiotemporal scale. Energy. 111, 137-153. doi: 10.1016/j.energy.2016.05.118 ( Gurney (CARBON 2013)  , 46 citations )
Fusco, E. J., Abatzoglou, J. T., Balch, J. K., Finn, J. T., Bradley, B. A. 2016. Quantifying the human influence on fire ignition across the western USA. Ecological Applications. 26(8), 2390-2401. doi: 10.1002/eap.1395 ( Balch (TE 2013), 23 citations )
Walker, D. A., Breen, A. L., Druckenmiller, L. A., Wirth, L. W., Fisher, W., Raynolds, M. K., Sibik, J., Walker, M. D., Hennekens, S., Boggs, K., Boucher, T., Buchhorn, M., Bultmann, H., Cooper, D. J., Daniels, F. J., Davidson, S. J., Ebersole, J. J., Elmendorf, S. C., Epstein, H. E., Gould, W. A., Hollister, R. D., Iversen, C. M., Jorgenson, M. T., Kade, A., Lee, M. T., MacKenzie, W. H., Peet, R. K., Peirce, J. L., Schickhoff, U., Sloan, V. L., Talbot, S. S., Tweedie, C. E., Villarreal, S., Webber, P. J., Zona, D. 2016. The Alaska Arctic Vegetation Archive (AVA-AK). Phytocoenologia. 46(2), 221-229. doi: 10.1127/phyto/2016/0128 ( Walker (TE 2012)  , 4 citations )
Babcock, C., Finley, A. O., Cook, B. D., Weiskittel, A., Woodall, C. W. 2016. Modeling forest biomass and growth: Coupling long-term inventory and LiDAR data. Remote Sensing of Environment. 182, 1-12. doi: 10.1016/j.rse.2016.04.014 ( Cook (CMS 2011)  Cook (CMS 2015)  Dubayah (CMS 2013)  Hurtt (CMS 2014)  Morton (CMS 2013)  , 16 citations )  [quad chart]
Elmore, A. J., Nelson, D. M., Craine, J. M. 2016. Earlier springs are causing reduced nitrogen availability in North American eastern deciduous forests. Nature Plants. 2(10), 16133. doi: 10.1038/NPLANTS.2016.133 ( Elmore (TE 2011)  , 25 citations )
Stockwell, C. E., Jayarathne, T., Cochrane, M. A., Ryan, K. C., Putra, E. I., Saharjo, B. H., Nurhayati, A. D., Albar, I., Blake, D. R., Simpson, I. J., Stone, E. A., Yokelson, R. J. 2016. Field measurements of trace gases and aerosols emitted by peat fires in Central Kalimantan, Indonesia, during the 2015 El Nino. Atmospheric Chemistry and Physics. 16(18), 11711-11732. doi: 10.5194/acp-16-11711-2016 ( Cochrane (CMS 2013)  , 80 citations )
Loranty, M. M., Lieberman-Cribbin, W., Berner, L. T., Natali, S. M., Goetz, S. J., Alexander, H. D., Kholodov, A. L. 2016. Spatial variation in vegetation productivity trends, fire disturbance, and soil carbon across arctic-boreal permafrost ecosystems. Environmental Research Letters. 11(9), 095008. doi: 10.1088/1748-9326/11/9/095008 ( Berner (NESSF 2014)  Goetz (TE 2014)  , 21 citations )
Babcock, C., Finley, A. O., Cook, B. D., Weiskittel, A., Woodall, C. W. 2016. Modeling forest biomass and growth: Coupling long-term inventory and LiDAR data. Remote Sensing of Environment. 182, 1-12. doi: 10.1016/j.rse.2016.04.014 ( Cook (CMS 2011)  Cook (CMS 2015)  Dubayah (CMS 2013)  Hurtt (CMS 2014)  Morton (CMS 2013)  , 16 citations )
Clark, M. L., Kilham, N. E. 2016. Mapping of land cover in northern California with simulated hyperspectral satellite imagery. ISPRS Journal of Photogrammetry and Remote Sensing. 119, 228-245. doi: 10.1016/j.isprsjprs.2016.06.007 ( Clark (HYSPIRI 2011)  Roberts (HYSPIRI 2011)  , 38 citations )
Datta, A., Banerjee, S., Finley, A. O., Hamm, N. A. S., Schaap, M. 2016. Nonseparable dynamic nearest neighbor Gaussian process models for large spatio-temporal data with an application to particulate matter analysis. The Annals of Applied Statistics. 10(3), 1286-1316. doi: 10.1214/16-AOAS931 ( Hurtt (CMS 2014)  , 28 citations )
Shiklomanov, A. N., Dietze, M. C., Viskari, T., Townsend, P. A., Serbin, S. P. 2016. Quantifying the influences of spectral resolution on uncertainty in leaf trait estimates through a Bayesian approach to RTM inversion. Remote Sensing of Environment. 183, 226-238. doi: 10.1016/j.rse.2016.05.023 ( Serbin (2014)  , 26 citations )
Ferraz, A., Saatchi, S., Mallet, C., Meyer, V. 2016. Lidar detection of individual tree size in tropical forests. Remote Sensing of Environment. 183, 318-333. doi: 10.1016/j.rse.2016.05.028 ( TE Pub not linked yet to TE Project, 78 citations )
Rodriguez-Veiga, P., Saatchi, S., Tansey, K., Balzter, H. 2016. Magnitude, spatial distribution and uncertainty of forest biomass stocks in Mexico. Remote Sensing of Environment. 183, 265-281. doi: 10.1016/j.rse.2016.06.004 ( TE Pub not linked yet to TE Project, 38 citations )
Gibson, C. M., Turetsky, M. R., Cottenie, K., Kane, E. S., Houle, G., Kasischke, E. S. 2016. Variation in plant community composition and vegetation carbon pools a decade following a severe fire season in interior Alaska. Journal of Vegetation Science. 27(6), 1187-1197. doi: 10.1111/jvs.12443 ( TE Pub not linked yet to TE Project, 13 citations )
Jorgenson, M. T., Grosse, G. 2016. Remote Sensing of Landscape Change in Permafrost Regions. Permafrost and Periglacial Processes. 27(4), 324-338. doi: 10.1002/ppp.1914 ( TE Pub not linked yet to TE Project, 33 citations )
Xu, X., Riley, W. J., Koven, C. D., Billesbach, D. P., Chang, R. Y., Commane, R., Euskirchen, E. S., Hartery, S., Harazono, Y., Iwata, H., McDonald, K. C., Miller, C. E., Oechel, W. C., Poulter, B., Raz-Yaseef, N., Sweeney, C., Torn, M., Wofsy, S. C., Zhang, Z., Zona, D. 2016. A multi-scale comparison of modeled and observed seasonal methane emissions in northern wetlands. Biogeosciences. 13(17), 5043-5056. doi: 10.5194/bg-13-5043-2016 ( TE Pub not linked yet to TE Project, 15 citations )
Basu, S., Karki, M., Ganguly, S., DiBiano, R., Mukhopadhyay, S., Gayaka, S., Kannan, R., Nemani, R. 2016. Learning Sparse Feature Representations Using Probabilistic Quadtrees and Deep Belief Nets. Neural Processing Letters. 45(3), 855-867. doi: 10.1007/s11063-016-9556-4 ( Ganguly (CMS 2014)  , 16 citations )
Lu, W., Xiao, J., Liu, F., Zhang, Y., Liu, C., Lin, G. 2016. Contrasting ecosystem CO2fluxes of inland and coastal wetlands: a meta-analysis of eddy covariance data. Global Change Biology. 23(3), 1180-1198. doi: 10.1111/gcb.13424 ( Xiao (CARBON 2013)  , 40 citations )
Hedelius, J. K., Viatte, C., Wunch, D., Roehl, C. M., Toon, G. C., Chen, J., Jones, T., Wofsy, S. C., Franklin, J. E., Parker, H., Dubey, M. K., Wennberg, P. O. 2016. Assessment of errors and biases in retrievals of XCO2, XCH4, XCO, and XN2O from a 0.5 cm?1 resolution solar-viewing spectrometer. Atmospheric Measurement Techniques. 9(8), 3527-3546. doi: 10.5194/amt-9-3527-2016 ( Wennberg (CARBON 2013)  , 15 citations )
Yan, D., Zhang, X., Yu, Y., Guo, W., Hanan, N. P. 2016. Characterizing land surface phenology and responses to rainfall in the Sahara desert. Journal of Geophysical Research: Biogeosciences. 121(8), 2243-2260. doi: 10.1002/2016JG003441 ( Hanan (TE 2012), 8 citations )
Walter Anthony, K., Daanen, R., Anthony, P., Schneider von Deimling, T., Ping, C., Chanton, J. P., Grosse, G. 2016. Methane emissions proportional to permafrost carbon thawed in Arctic lakes since the 1950s. Nature Geoscience. 9(9), 679-682. doi: 10.1038/ngeo2795 ( Walter (CARBON 2010)  , 71 citations )
Trugman, A. T., Fenton, N. J., Bergeron, Y., Xu, X., Welp, L. R., Medvigy, D. 2016. Climate, soil organic layer, and nitrogen jointly drive forest development after fire in the North American boreal zone. Journal of Advances in Modeling Earth Systems. 8(3), 1180-1209. doi: 10.1002/2015MS000576 ( Buermann (CARBON 2010)  , 21 citations )
Raynolds, M. K., Walker, D. A. 2016. Increased wetness confounds Landsat-derived NDVI trends in the central Alaska North Slope region, 1985-2011. Environmental Research Letters. 11(8), 085004. doi: 10.1088/1748-9326/11/8/085004 ( Walker (TE 2012)  , 25 citations )
Datta, A., Banerjee, S., Finley, A. O., Gelfand, A. E. 2016. Hierarchical Nearest-Neighbor Gaussian Process Models for Large Geostatistical Datasets. Journal of the American Statistical Association. 111(514), 800-812. doi: 10.1080/01621459.2015.1044091 ( Cook (CMS 2011)  Dubayah (CMS 2013)  Hurtt (CMS 2014)  Morton (CMS 2013)  , 105 citations )
Datta, A., Banerjee, S., Finley, A. O., Gelfand, A. E. 2016. On nearest-neighbor Gaussian process models for massive spatial data. Wiley Interdisciplinary Reviews: Computational Statistics. 8(5), 162-171. doi: 10.1002/wics.1383 ( Cook (CMS 2011)  Cook (CMS 2015)  Dubayah (CMS 2011)  Dubayah (CMS 2013)  Hurtt (CMS 2014)  Morton (CMS 2013)  , 12 citations )
Neeti, N., Kennedy, R. 2016. Comparison of national level biomass maps for conterminous US: understanding pattern and causes of differences. Carbon Balance and Management. 11(1). doi: 10.1186/s13021-016-0060-y ( Kennedy (CMS 2011)  , 7 citations )
Booth, J. F., Rieder, H. E., Kushnir, Y. 2016. Comparing hurricane and extratropical storm surge for the Mid-Atlantic and Northeast Coast of the United States for 1979-2013. Environmental Research Letters. 11(9), 094004. doi: 10.1088/1748-9326/11/9/094004 ( Kushnir (IDS 2012), 13 citations )
Ware, J., Kort, E. A., DeCola, P., Duren, R. 2016. Aerosol lidar observations of atmospheric mixing in Los Angeles: Climatology and implications for greenhouse gas observations. Journal of Geophysical Research: Atmospheres. 121(16), 9862-9878. doi: 10.1002/2016JD024953 ( Duren (CARBON 2013)  , 18 citations )
Williams, C. A., Gu, H., MacLean, R., Masek, J. G., Collatz, G. J. 2016. Disturbance and the carbon balance of US forests: A quantitative review of impacts from harvests, fires, insects, and droughts. Global and Planetary Change. 143, 66-80. doi: 10.1016/j.gloplacha.2016.06.002 ( Williams (CMS 2014)  , 59 citations )  [quad chart]
Ferraz, A., Saatchi, S., Mallet, C., Jacquemoud, S., Goncalves, G., Silva, C., Soares, P., Tome, M., Pereira, L. 2016. Airborne Lidar Estimation of Aboveground Forest Biomass in the Absence of Field Inventory. Remote Sensing. 8(8), 653. doi: 10.3390/rs8080653 ( TE Pub not linked yet to TE Project, 25 citations )
Frans, C., Istanbulluoglu, E., Lettenmaier, D. P., Clarke, G., Bohn, T. J., Stumbaugh, M. 2016. Implications of decadal to century scale glacio-hydrological change for water resources of the Hood River basin, OR, USA. Hydrological Processes. doi: 10.1002/hyp.10872 ( TE Pub not linked yet to TE Project, 7 citations )
Brown, D., Jorgenson, M., Kielland, K., Verbyla, D., Prakash, A., Koch, J. 2016. Landscape Effects of Wildfire on Permafrost Distribution in Interior Alaska Derived from Remote Sensing. Remote Sensing. 8(8), 654. doi: 10.3390/rs8080654 ( TE Pub not linked yet to TE Project, 18 citations )
Choi, S., Kempes, C. P., Park, T., Ganguly, S., Wang, W., Xu, L., Basu, S., Dungan, J. L., Simard, M., Saatchi, S. S., Piao, S., Ni, X., Shi, Y., Cao, C., Nemani, R. R., Knyazikhin, Y., Myneni, R. B. 2016. Application of the metabolic scaling theory and water-energy balance equation to model large-scale patterns of maximum forest canopy height. Global Ecology and Biogeography. 25(12), 1428-1442. doi: 10.1111/geb.12503 ( Ganguly (CMS 2014)  , 5 citations )
Deo, R. K., Froese, R. E., Falkowski, M. J., Hudak, A. T. 2016. Optimizing Variable Radius Plot Size and LiDAR Resolution to Model Standing Volume in Conifer Forests. Canadian Journal of Remote Sensing. 42(5), 428-442. doi: 10.1080/07038992.2016.1220826 ( Hudak (CMS 2014)  , 13 citations )
Montesano, P. M., Sun, G., Dubayah, R. O., Ranson, K. J. 2016. Spaceborne potential for examining taiga-tundra ecotone form and vulnerability. Biogeosciences. 13(13), 3847-3861. doi: 10.5194/bg-13-3847-2016 ( Ranson (CARBON 2013)  Ranson (TE 2011)  , 10 citations )
Spera, S. A., Galford, G. L., Coe, M. T., Macedo, M. N., Mustard, J. F. 2016. Land-use change affects water recycling in Brazil's last agricultural frontier. Global Change Biology. 22(10), 3405-3413. doi: 10.1111/gcb.13298 ( Coe (TE 2011)  , 132 citations )
Arantes, A. E., Ferreira, L. G., Coe, M. T. 2016. The seasonal carbon and water balances of the Cerrado environment of Brazil: Past, present, and future influences of land cover and land use. ISPRS Journal of Photogrammetry and Remote Sensing. 117, 66-78. doi: 10.1016/j.isprsjprs.2016.02.008 ( Coe (TE 2011), 21 citations )
Carroll, M., Wooten, M., DiMiceli, C., Sohlberg, R., Kelly, M. 2016. Quantifying Surface Water Dynamics at 30 Meter Spatial Resolution in the North American High Northern Latitudes 1991-2011. Remote Sensing. 8(8), 622. doi: 10.3390/rs8080622 ( Carroll (TE 2012)  , 23 citations )
Salazar, E., Hammerling, D., Wang, X., Sanso, B., Finley, A. O., Mearns, L. O. 2016. Observation-based blended projections from ensembles of regional climate models. Climatic Change. 138(1-2), 55-69. doi: 10.1007/s10584-016-1722-1 ( Cook (CMS 2011)  Cook (CMS 2015)  Dubayah (CMS 2011)  Dubayah (CMS 2013)  Hurtt (CMS 2014)  Morton (CMS 2013)  , 5 citations )
Burakowski, E. A., Ollinger, S. V., Bonan, G. B., Wake, C. P., Dibb, J. E., Hollinger, D. Y. 2016. Evaluating the Climate Effects of Reforestation in New England Using a Weather Research and Forecasting (WRF) Model Multiphysics Ensemble. Journal of Climate. 29(14), 5141-5156. doi: 10.1175/JCLI-D-15-0286.1 ( Ollinger (TE 2011)  , 15 citations )
Fagan, M. E., DeFries, R. S., Sesnie, S. E., Arroyo-Mora, J. P., Chazdon, R. L. 2016. Targeted reforestation could reverse declines in connectivity for understory birds in a tropical habitat corridor. Ecological Applications. 26(5), 1456-1474. doi: 10.1890/14-2188 ( DeFries (NESSF 2010), 13 citations )
Wu, J., Chavana-Bryant, C., Prohaska, N., Serbin, S. P., Guan, K., Albert, L. P., Yang, X., van Leeuwen, W. J. D., Garnello, A. J., Martins, G., Malhi, Y., Gerard, F., Oliviera, R. C., Saleska, S. R. 2016. Convergence in relationships between leaf traits, spectra and age across diverse canopy environments and two contrasting tropical forests. New Phytologist. 214(3), 1033-1048. doi: 10.1111/nph.14051 ( Huete (TERAQ 2009)  Saleska (TERAQ 2010), 27 citations )
Feng, S., Lauvaux, T., Newman, S., Rao, P., Ahmadov, R., Deng, A., Diaz-Isaac, L. I., Duren, R. M., Fischer, M. L., Gerbig, C., Gurney, K. R., Huang, J., Jeong, S., Li, Z., Miller, C. E., O'Keeffe, D., Patarasuk, R., Sander, S. P., Song, Y., Wong, K. W., Yung, Y. L. 2016. Los Angeles megacity: a high-resolution land-atmosphere modelling system for urban CO2 emissions. Atmospheric Chemistry and Physics. 16(14), 9019-9045. doi: 10.5194/acp-16-9019-2016 ( Duren (CARBON 2013)  , 55 citations )
Fisher, J. B., Sikka, M., Huntzinger, D. N., Schwalm, C., Liu, J. 2016. Technical note: 3-hourly temporal downscaling of monthly global terrestrial biosphere model net ecosystem exchange. Biogeosciences. 13(14), 4271-4277. doi: 10.5194/bg-13-4271-2016 ( Huntzinger (CARBON 2013)  , 7 citations )
Park, T., Ganguly, S., Tommervik, H., Euskirchen, E. S., Hogda, K., Karlsen, S. R., Brovkin, V., Nemani, R. R., Myneni, R. B. 2016. Changes in growing season duration and productivity of northern vegetation inferred from long-term remote sensing data. Environmental Research Letters. 11(8), 084001. doi: 10.1088/1748-9326/11/8/084001 ( Myneni (SNPP 2013), 98 citations )
Oyler, J. W., Dobrowski, S. Z., Holden, Z. A., Running, S. W. 2016. Remotely Sensed Land Skin Temperature as a Spatial Predictor of Air Temperature across the Conterminous United States. Journal of Applied Meteorology and Climatology. 55(7), 1441-1457. doi: 10.1175/JAMC-D-15-0276.1 ( TE Pub not linked yet to TE Project, 33 citations )
Zhang, K., Kimball, J. S., Running, S. W. 2016. A review of remote sensing based actual evapotranspiration estimation. Wiley Interdisciplinary Reviews: Water. 3(6), 834-853. doi: 10.1002/wat2.1168 ( TE Pub not linked yet to TE Project, 115 citations )
Barbosa, P. M., Melack, J. M., Farjalla, V. F., Amaral, J. H. F., Scofield, V., Forsberg, B. R. 2016. Diffusive methane fluxes from Negro, Solimoes and Madeira rivers and fringing lakes in the Amazon basin. Limnology and Oceanography. 61(S1), S221-S237. doi: 10.1002/lno.10358 ( TE Pub not linked yet to TE Project, 19 citations )
Barnes, E. A., Parazoo, N., Orbe, C., Denning, A. S. 2016. Isentropic transport and the seasonal cycle amplitude of CO2. Journal of Geophysical Research: Atmospheres. 121(13), 8106-8124. doi: 10.1002/2016jd025109 ( TE Pub not linked yet to TE Project, 13 citations )
Swatantran, A., Tang, H., Barrett, T., DeCola, P., Dubayah, R. 2016. Rapid, High-Resolution Forest Structure and Terrain Mapping over Large Areas using Single Photon Lidar. Scientific Reports. 6, 28277. doi: 10.1038/srep28277 ( Dubayah (CMS 2011)  Dubayah (CMS 2013)  Dubayah (TE 2011)  , 52 citations )
Ponomarev, E., Kharuk, V., Ranson, K. 2016. Wildfires Dynamics in Siberian Larch Forests. Forests. 7(6), 125. doi: 10.3390/f7060125 ( Ranson (TE 2011), 37 citations )
Gurney, K. R., Huang, J., Coltin, K. 2016. Bias present in US federal agency power plant CO2emissions data and implications for the US clean power plan. Environmental Research Letters. 11(6), 064005. doi: 10.1088/1748-9326/11/6/064005 ( Gurney (CARBON 2013)  , 12 citations )
Schleeweis, K., Goward, S. N., Huang, C., Dwyer, J. L., Dungan, J. L., Lindsey, M. A., Michaelis, A., Rishmawi, K., Masek, J. G. 2016. Selection and quality assessment of Landsat data for the North American forest dynamics forest history maps of the US. International Journal of Digital Earth. 9(10), 963-980. doi: 10.1080/17538947.2016.1158876 ( Goward (CARBON 2010)  , 8 citations )
Moisen, G. G., Meyer, M. C., Schroeder, T. A., Liao, X., Schleeweis, K. G., Freeman, E. A., Toney, C. 2016. Shape selection in Landsat time series: a tool for monitoring forest dynamics. Global Change Biology. 22(10), 3518-3528. doi: 10.1111/gcb.13358 ( Goward (CARBON 2010)  , 20 citations )
Giglio, L., Schroeder, W., Justice, C. O. 2016. The collection 6 MODIS active fire detection algorithm and fire products. Remote Sensing of Environment. 178, 31-41. doi: 10.1016/j.rse.2016.02.054 ( Giglio (TERAQ 2009)  Giglio (TERAQEA 2013), 269 citations )
Boer, M. M., Bowman, D. M. J. S., Murphy, B. P., Cary, G. J., Cochrane, M. A., Fensham, R. J., Krawchuk, M. A., Price, O. F., De Dios, V. R., Williams, R. J., Bradstock, R. A. 2016. Future changes in climatic water balance determine potential for transformational shifts in Australian fire regimes. Environmental Research Letters. 11(6), 065002. doi: 10.1088/1748-9326/11/6/065002 ( Cochrane (IDS 2009), 22 citations )
Tasker, K. A., Arima, E. Y. 2016. Fire regimes in Amazonia: The relative roles of policy and precipitation. Anthropocene. 14, 46-57. doi: 10.1016/j.ancene.2016.06.001 ( Cochrane (IDS 2009), 10 citations )
Yang, Q., Zhang, X., Xu, X., Asrar, G. R., Smith, R. A., Shih, J., Duan, S. 2016. Spatial patterns and environmental controls of particulate organic carbon in surface waters in the conterminous United States. Science of The Total Environment. 554-555, 266-275. doi: 10.1016/j.scitotenv.2016.02.164 ( Zhang-X (TE 2011)  , 11 citations )
Bush, M. B., Correa-Metrio, A., McMichael, C. H., Sully, S., Shadik, C. R., Valencia, B. G., Guilderson, T., Steinitz-Kannan, M., Overpeck, J. T. 2016. A 6900-year history of landscape modification by humans in lowland Amazonia. Quaternary Science Reviews. 141, 52-64. doi: 10.1016/j.quascirev.2016.03.022 ( Palace (IDS 2012), 46 citations )
Hermann, T. W., Stewart, D. J., Limburg, K. E., Castello, L. 2016. Unravelling the life history of Amazonian fishes through otolith microchemistry. Royal Society Open Science. 3(6), 160206. doi: 10.1098/rsos.160206 ( Castello (IDS 2012), 18 citations )
Montesano, P., Neigh, C., Sexton, J., Feng, M., Channan, S., Ranson, K., Townshend, J. 2016. Calibration and Validation of Landsat Tree Cover in the Taiga[?]Tundra Ecotone. Remote Sensing. 8(7), 551. doi: 10.3390/rs8070551 ( Neigh (CARBON 2016)  Ranson (CARBON 2013)  , 20 citations )  [quad chart]
Walvoord, M. A., Kurylyk, B. L. 2016. Hydrologic Impacts of Thawing Permafrost--A Review. Vadose Zone Journal. 15(6). doi: 10.2136/vzj2016.01.0010 ( Striegl (TE 2014)  , 196 citations )
Montesano, P., Neigh, C., Sexton, J., Feng, M., Channan, S., Ranson, K., Townshend, J., 2016. Calibration and Validation of Landsat Tree Cover in the Taiga/Tundra Ecotone. Remote Sensing. 8(7), 551. doi: 10.3390/rs8070551 ( Neigh (CARBON 2016)  Ranson (CARBON 2013)  , 20 citations )  [quad chart]
Yang, Y., Saatchi, S., Xu, L., Yu, Y., Lefsky, M., White, L., Knyazikhin, Y., Myneni, R. 2016. Abiotic Controls on Macroscale Variations of Humid Tropical Forest Height. Remote Sensing. 8(6), 494. doi: 10.3390/rs8060494 ( TE Pub not linked yet to TE Project, 8 citations )
Thompson, D. R., Thorpe, A. K., Frankenberg, C., Green, R. O., Duren, R., Guanter, L., Hollstein, A., Middleton, E., Ong, L., Ungar, S. 2016. Space-based remote imaging spectroscopy of the Aliso Canyon CH4 superemitter. Geophysical Research Letters. 43(12), 6571-6578. DOI: 10.1002/2016gl069079 ( TE Pub not linked yet to TE Project, 29 citations )
Sweeney, C., Dlugokencky, E., Miller, C. E., Wofsy, S., Karion, A., Dinardo, S., Chang, R. Y., Miller, J. B., Bruhwiler, L., Crotwell, A. M., Newberger, T., McKain, K., Stone, R. S., Wolter, S. E., Lang, P. E., Tans, P. 2016. No significant increase in long-term CH4 emissions on North Slope of Alaska despite significant increase in air temperature. Geophysical Research Letters. 43(12), 6604-6611. DOI: 10.1002/2016GL069292 ( TE Pub not linked yet to TE Project, 36 citations )
Parazoo, N. C., Commane, R., Wofsy, S. C., Koven, C. D., Sweeney, C., Lawrence, D. M., Lindaas, J., Chang, R. Y., Miller, C. E. 2016. Detecting regional patterns of changing CO2flux in Alaska. Proceedings of the National Academy of Sciences. 113(28), 7733-7738. doi: 10.1073/pnas.1601085113 ( TE Pub not linked yet to TE Project, 15 citations )
Yu, Y., Saatchi, S. 2016. Sensitivity of L-Band SAR Backscatter to Aboveground Biomass of Global Forests. Remote Sensing. 8(6), 522. doi: 10.3390/rs8060522 ( TE Pub not linked yet to TE Project, 46 citations )
Wang, D., Liang, S. 2016. Estimating high-resolution top of atmosphere albedo from Moderate Resolution Imaging Spectroradiometer data. Remote Sensing of Environment. 178, 93-103. doi: 10.1016/j.rse.2016.03.008 ( TE Pub not linked yet to TE Project, 10 citations )
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Somers, B., Tits, L., Roberts, D., Wetherley, E. 2016. Endmember Library Approaches to Resolve Spectral Mixing Problems in Remotely Sensed Data in: Data Handling in Science and Technology: Resolving Spectral Mixtures - With Applications from Ultrafast Time-Resolved Spectroscopy to Super-Resolution Imaging. Elsevier, 551-577. doi: 10.1016/b978-0-444-63638-6.00017-6 ( Roberts (HYSPIRI 2011)  , 5 citations )
Mathews, B. J., Strand, E. K., Smith, A. M. S., Hudak, A. T., Dickinson, B., Kremens, R. L. 2016. Laboratory experiments to estimate interception of infrared radiation by tree canopies. International Journal of Wildland Fire. 25(9), 1009. doi: 10.1071/WF16007 ( TE Pub not linked yet to TE Project, 9 citations )
Aziem, S., Dasgupta, S. 2016. Riparian Phytodiversity Status of Pristine Bhilangana Valley of Garhwal Himalaya: An Undocumented Retrospective Hitherto. Journal of Biodiversity Management & Forestry. 05(02). doi: 10.4172/2327-4417.1000156 ( TE Pub not linked yet to TE Project )