The following 3 publications cited the product LiDAR-Derived Aboveground Biomass and Uncertainty for California Forests, 2005-2014.
| Year | Citation |
|---|---|
| 2023 | Roten, D., L. Wells, D. Crawl, R.A. Parsons, A. Marcozzi, R.R. Linn, K. Hiers, and I. Altintas. 2023. TrueTrees: A Scalable Workflow for the Integration of Airborne LiDAR Scanning Data into Fuel Models for Prescribed Fire Simulations. 2023 IEEE 19th International Conference on e-Science (e-Science). https://doi.org/10.1109/e-Science58273.2023.10254923 |
| 2022 | Chopping, M., Z. Wang, C. Schaaf, M.A. Bull, and R.R. Duchesne. 2022. Forest aboveground biomass in the southwestern United States from a MISR multi-angle index, 2000–2015. Remote Sensing of Environment. 275:112964. https://doi.org/10.1016/j.rse.2022.112964 |
| 2018 | Xu, Q., A. Man, M. Fredrickson, Z. Hou, J. Pitkanen, B. Wing, C. Ramirez, B. Li, and J.A. Greenberg. 2018. Quantification of uncertainty in aboveground biomass estimates derived from small-footprint airborne LiDAR. Remote Sensing of Environment. 216:514-528. https://doi.org/10.1016/j.rse.2018.07.022 |