The following 7 publications cited the product BigFoot Field Data for North American Sites, 1999-2003.
| Year | Citation |
|---|---|
| 2022 | Ma, H., C. Xiong, S. Liang, Z. Zhu, J. Song, Y. Zhang, and T. He. 2022. Determining the accuracy of the landsat-based land continuous Variable Estimator. Science of Remote Sensing. 5:100054. https://doi.org/10.1016/j.srs.2022.100054 |
| 2019 | Zhan, X., Z. Xiao, J. Jiang, and H. Shi. 2019. A Data Assimilation Method for Simultaneously Estimating the Multiscale Leaf Area Index From Time-Series Multi-Resolution Satellite Observations. IEEE Transactions on Geoscience and Remote Sensing. 57(11):9344-9361. https://doi.org/10.1109/TGRS.2019.2926392 |
| 2018 | Engstrom, R. and A. Hope. 2018. 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. https://doi.org/10.1657/1938-4246-43.3.380 |
| 2016 | Kang, Y., M. Ozdogan, S. Zipper, M. Roman, J. Walker, S. Hong, M. Marshall, V. Magliulo, J. Moreno, L. Alonso, A. Miyata, B. Kimball, and S. Loheide. 2016. How Universal Is the Relationship between Remotely Sensed Vegetation Indices and Crop Leaf Area Index? A Global Assessment. Remote Sensing. 8(7):597. https://doi.org/10.3390/rs8070597 |
| 2013 | Leonenko, G., S.O. Los, and P.R.J. North. 2013. Retrieval of leaf area index from MODIS surface reflectance by model inversion using different minimization criteria. Remote Sensing of Environment. 139:257-270. https://doi.org/10.1016/j.rse.2013.07.012 |
| 2013 | Southworth, J., L. Rigg, C. Gibbes, P. Waylen, L. Zhu, S. McCarragher, and L. Cassidy. 2013. Integrating Dendrochronology, Climate and Satellite Remote Sensing to Better Understand Savanna Landscape Dynamics in the Okavango Delta, Botswana. Land. 2(4):637-655. https://doi.org/10.3390/land2040637 |
| 2009 | Peckham, S.D., D.E. Ahl, and S.T. Gower. 2009. Bryophyte cover estimation in a boreal black spruce forest using airborne lidar and multispectral sensors. Remote Sensing of Environment. 113(6):1127-1132. https://doi.org/10.1016/j.rse.2009.02.008 |