The following 4 publications cited the product ECHIDNA LIDAR Campaigns: Forest Canopy Imagery and Field Data, U.S.A., 2007-2009.
| Year | Citation |
|---|---|
| 2018 | Ni-Meister, W., W. Yang, S. Lee, A.H. Strahler, and F. Zhao. 2018. Validating modeled lidar waveforms in forest canopies with airborne laser scanning data. Remote Sensing of Environment. 204:229-243. https://doi.org/10.1016/j.rse.2017.10.028 |
| 2018 | Orwig, D.A., P. Boucher, I. Paynter, E. Saenz, Z. Li, and C. Schaaf. 2018. The potential to characterize ecological data with terrestrial laser scanning in Harvard Forest, MA. Interface Focus. 8(2):20170044. https://doi.org/10.1098/rsfs.2017.0044 |
| 2016 | Choi, S., C.P. Kempes, T. Park, S. Ganguly, W. Wang, L. Xu, S. Basu, J.L. Dungan, M. Simard, S.S. Saatchi, S. Piao, X. Ni, Y. Shi, C. Cao, R.R. Nemani, Y. Knyazikhin, and R.B. Myneni. 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. https://doi.org/10.1111/geb.12503 |
| 2013 | Choi, S., X. Ni, Y. Shi, S. Ganguly, G. Zhang, H. Duong, M. Lefsky, M. Simard, S. Saatchi, S. Lee, W. Ni-Meister, S. Piao, C. Cao, R. Nemani, and R. Myneni. 2013. Allometric Scaling and Resource Limitations Model of Tree Heights: Part 2. Site Based Testing of the Model. Remote Sensing. 5(1):202-223. https://doi.org/10.3390/rs5010202 |