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Publications Citing BigFoot

The following 26 publications cited the BigFoot project.

YearCitationData Set or Project
2016Kang, Yanghui;Özdo?an, Mutlu;Zipper, Samuel;Román, Miguel;Walker, Jeff;Hong, Suk;Marshall, Michael;Magliulo, Vincenzo;Moreno, José;Alonso, Luis;Miyata, Akira;Kimball, Bruce;Loheide, Steven; (2016) How Universal Is the Relationship between Remotely Sensed Vegetation Indices and Crop Leaf Area Index? A Global Assessment.Remote Sensing. 8(7): 597. http://dx.doi.org/10.3390/rs8070597
2016Tum, Markus;Günther, Kurt;Böttcher, Martin;Baret, Frédéric;Bittner, Michael;Brockmann, Carsten;Weiss, Marie; (2016) Global Gap-Free MERIS LAI Time Series (2002–2012).Remote Sensing. 8(1): 69. http://dx.doi.org/10.3390/rs8010069
2015Klein, Tamir; Randin, Christophe; Korner, Christian (2015). Water availability predicts forest canopy height at the global scale, Ecology Letters, 18 (12). http://dx.doi.org/10.1111/ele.12525
2014Klein, Tamir; Yakir, Dan; Buchmann, Nina and Grünzweig, José M. (2014) Towards an advanced assessment of the hydrological vulnerability of forests to climate change-induced drought. New Phytologist. 201(3): 712-716. http://dx.doi.org/10.1111/nph.12548
2013Ishii S S.H., Yamazaki T.; (2013) Geographical variability of relationships among black carbon from wildfires, climate and vegetation in Africa. Climate Research. 57 (3): 221-231. http://dx.doi.org/10.3354/cr01175
2013Leonenko G., Los, S. O., North, P. R. J.; (2013) Retrieval of leaf area index from MODIS surface reflectance by model inversion using different minimization criteria. Remote Sensing of Environment. 139 (0): 257-270. http://dx.doi.org/10.1016/j.rse.2013.07.012
2013Leonenko G., Los, S. O., North, P. R. J.; (2013) Retrieval of leaf area index from MODIS surface reflectance by model inversion using different minimization criteria. Remote Sensing of Environment. 139 (0): 257-270. http://dx.doi.org/10.1016/j.rse.2013.07.012
2013Li A., Bo, Yanchen, Chen, Ling.; (2012) Bayesian maximum entropy data fusion of field-observed leaf area index (LAI) and Landsat Enhanced Thematic Mapper Plus-derived LAI. International Journal of Remote Sensing. 34 (1): 227-246. http://dx.doi.org/10.1080/01431161.2012.712234
2013Southworth J., Rigg, Lesley, Gibbes, Cerian, Waylen, Peter, Zhu, Likai, McCarragher, Shannon, Cassidy, Lin.; (2013) Integrating Dendrochronology, Climate and Satellite Remote Sensing to Better Understand Savanna Landscape Dynamics in the Okavango Delta, Botswana. Land. 2 (4): 637-655. http://dx.doi.org/10.3390/land2040637
2012Chai, L., Qu, Y., Zhang, L., Liang, S., & Wang, J.; (2012). Estimating time-series leaf area index based on recurrent nonlinear autoregressive neural networks with exogenous inputs. International Journal of Remote Sensing. 33 (18): 5712-5731.http://dx.doi.org/10.1080/01431161.2012.671553
2012Chai, L., Qu, Y., Zhang, L., Liang, S., & Wang, J.; (2012). Estimating time-series leaf area index based on recurrent nonlinear autoregressive neural networks with exogenous inputs. International Journal of Remote Sensing. 33 (18): 5712-5731.http://dx.doi.org/10.1080/01431161.2012.671553
2012Kim, Y., Kimball, J. S., Zhang, K., & McDonald, K. C.; (2012). Satellite detection of increasing Northern Hemisphere non-frozen seasons from 1979 to 2008: Implications for regional vegetation growth. Remote Sensing of Environment. 121 (0): 472-487. http://dx.doi.org/10.1016/j.rse.2012.02.014
2011Engstrom, Ryan., Hope, Allen.; (2011). Parameter Sensitivity of the Arctic Biome_BGC Model for Estimating Evapotranspiration in the Arctic Coastal Plain. Arctic, Antarctic, and Alpine Research. 43 (3): 380-388. ISBN: 1523-0430.http://dx.doi.org/10.1657/1938-4246-43.3.380
2011Yuan, Hua., Dai, Yongjiu., Xiao, Zhiqiang., Ji, Duoying., Shangguan, Wei.; (2011). Reprocessing the MODIS Leaf Area Index products for land surface and climate modelling. Remote Sensing of Environment. 115 (5): 1171-1187. ISBN: 0034-4257.http://dx.doi.org/10.1016/j.rse.2011.01.001
2010Pisek, J., Chen, J. M., Alikas, K., Deng, F.; (2010). Impacts of including forest understory brightness and foliage clumping information from multiangular measurements on leaf area index mapping over North America. Journal of Geophysical Research-Biogeosciences. 115 (G3). http://dx.doi.org/10.1029/2009jg001138
2009Peckham, SD.,Ahl, DE.,Gower, ST,; (2009). Bryophyte cover estimation in a boreal black spruce forest using airborne lidar and multispectral sensors. Remote Sensing of Environment. 113(6): 1127-1132. http://dx.doi.org/10.1016/j.rse.2009.02.008
2007Pisek, J. and J. Chen; (2007). Comparison and validation of MODIS and VEGETATION global LAI products over four BigFoot sites in North America. Remote sensing of environment. 109 (1): 81-94. http://dx.doi.org/10.1016/j.rse.2006.12.004
2007Qu, Y., J. Wang, et al.; (2007). A Bayesian network algorithm for retrieving the characterization of land surface vegetation. Remote Sensing of Environment. 112 (3): 613-622. http://dx.doi.org/10.1016/j.rse.2007.03.031
2007Qu, Y., J. Wang, et al.; (2007). A Bayesian network algorithm for retrieving the characterization of land surface vegetation. Remote Sensing of Environment. 112 (3): 613-622. http://dx.doi.org/10.1016/j.rse.2007.03.031
2007Weiss, M., F. Baret, et al.; (2007). LAI and fAPAR CYCLOPES global products derived from VEGETATION. Part 2: validation and comparison with MODIS collection 4 products. Remote sensing of environment. 110 (3): 317-331. http://dx.doi.org/10.1016/j.rse.2007.03.001
2006Salomon, J.G.; (2006). Validation of the MODIS Bidirectional Reflectance Distribution Function and Albedo Retrievals Using Combined Observations From the Aqua and Terra Platforms. IEEE Transactions on Geoscience and Remote Sensing. 44 (6): 1555-1565. http://dx.doi.org/10.1109/TGRS.2006.871564
2003Turner, David P.; Ritts, William D.; Cohen, Warren B.; Gower, Stith T.; Zhao, Maosheng; Running, Steve W.; Wofsy, Steven C.; Urbanski, Shawn; Dunn, Allison L.; Munger, J. W.; (2003). Scaling Gross Primary Production (GPP) over boreal and deciduous forest landscapes in support of MODIS GPP product validation. Remote Sensing of Environment. 88 (3): 256-270. http://dx.doi.org/10.1016/j.rse.2003.06.005
2016Zhu, Gaofeng;Li, Xin;Zhang, Kun;Ding, Zhenyu;Han, Tuo;Ma, Jinzhu;Huang, Chunlin;He, Jianhua;Ma, Ting; (2016) Multi-model ensemble prediction of terrestrial evapotranspiration across north China using Bayesian model averaging.Hydrological Processes. 30(16): 2861-2879. http://dx.doi.org/10.1002/hyp.10832
2015Ji, Lei; Senay, Gabriel B.; Verdin, James P. (2015). Evaluation of the Global Land Data Assimilation System (GLDAS) Air Temperature Data Products, Journal of Hydrometeorology, 16 (6). http://dx.doi.org/10.1175/JHM-D-14-0230.1
2007Verstraete, M. M., N. Gobron, et al.; (2007). An automatic procedure to identify key vegetation phenology events using the JRC-FAPAR products. Advances in Space Research. 41 (11): 1773-1783. http://dx.doi.org/10.1016/j.asr.2007.05.066
2003Turner, David P.; Ritts, William D.; Cohen, Warren B.; Gower, Stith T.; Zhao, Maosheng; Running, Steve W.; Wofsy, Steven C.; Urbanski, Shawn; Dunn, Allison L.; Munger, J. W.; (2003). Scaling Gross Primary Production (GPP) over boreal and deciduous forest landscapes in support of MODIS GPP product validation. Remote Sensing of Environment. 88 (3): 256-270. http://dx.doi.org/10.1016/j.rse.2003.06.005