The following 9 publications cited the product NACP New England and Sierra National Forests Biophysical Measurements: 2008-2010.
| Year | Citation |
|---|---|
| 2021 | Sharma, R.C. 2021. Vegetation Structure Index (VSI): Retrieving Vegetation Structural Information from Multi-Angular Satellite Remote Sensing. Journal of Imaging. 7(5):84. https://doi.org/10.3390/jimaging7050084 |
| 2021 | Shi, Y., D. Ma, J. Lv, and J. Li. 2021. ACTL: Asymmetric Convolutional Transfer Learning for Tree Species Identification Based on Deep Neural Network. IEEE Access. 9:13643-13654. https://doi.org/10.1109/ACCESS.2021.3051015 |
| 2019 | Richardson, A.D., D.Y. Hollinger, J.K. Shoemaker, H. Hughes, K. Savage, and E.A. Davidson. 2019. Six years of ecosystem-atmosphere greenhouse gas fluxes measured in a sub-boreal forest. Scientific Data. 6(1): https://doi.org/10.1038/s41597-019-0119-1 |
| 2016 | Ariel L. Salas, E. and G. M. Henebry. 2016. Canopy Height Estimation by Characterizing Waveform LiDAR Geometry Based on Shape-Distance Metric. AIMS Geosciences. 2(4):366-390. https://doi.org/10.3934/geosci.2016.4.366 |
| 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 |
| 2016 | Wang, Y., G. Li, J. Ding, Z. Guo, S. Tang, C. Wang, Q. Huang, R. Liu, and J.M. Chen. 2016. A combined GLAS and MODIS estimation of the global distribution of mean forest canopy height. Remote Sensing of Environment. 174:24-43. https://doi.org/10.1016/j.rse.2015.12.005 |
| 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 |
| 2013 | Joshua Sims (2013) Individual Based Modeling and Visualization of Forest Succession and Biomass within the Prospect Hill Tract of Harvard Forest in Petersham, Massachusetts.. https://doi.org/10.3390/rs5010202 |
| 2012 | Laflower, D.; (2012). Measuring forest biomass using AIMS lidar and aerial high-resolution imagery. Geology and Geography, Mount Holyoke College, South Hadley, MA. https://doi.org/10.3390/rs5010202 |