The following 7 publications cited the product BigFoot Land Cover Surfaces for North and South American Sites, 2000-2003.
| Year | Citation |
|---|---|
| 2018 | Kim, J.H., T. Hwang, Y. Yang, C.L. Schaaf, E. Boose, and J.W. Munger. 2018. Warming-Induced Earlier Greenup Leads to Reduced Stream Discharge in a Temperate Mixed Forest Catchment. Journal of Geophysical Research: Biogeosciences. 123(6):1960-1975. https://doi.org/10.1029/2018JG004438 |
| 2017 | Kim, J., T. Hwang, C.L. Schaaf, D.A. Orwig, E. Boose, and J.W. Munger. 2017. Increased water yield due to the hemlock woolly adelgid infestation in New England. Geophysical Research Letters. 44(5):2327-2335. https://doi.org/10.1002/2016GL072327 |
| 2012 | Chai, L., Y. Qu, L. Zhang, S. Liang, and J. Wang. 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. https://doi.org/10.1080/01431161.2012.671553 |
| 2010 | Pisek, J., J.M. Chen, K. Alikas, and F. Deng. 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. 115(G3): https://doi.org/10.1029/2009jg001138 |
| 2008 | Qu, Y., J. Wang, H. Wan, X. Li, and G. Zhou. 2008. A Bayesian network algorithm for retrieving the characterization of land surface vegetation. Remote Sensing of Environment. 112(3):613-622. https://doi.org/10.1016/j.rse.2007.03.031 |
| 2007 | Pisek, J. and J.M. 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. https://doi.org/10.1016/j.rse.2006.12.004 |
| 2006 | Salomon, J.G., C.B. Schaaf, A.H. Strahler, Feng Gao, and Yufang Jin. 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. https://doi.org/10.1109/TGRS.2006.871564 |