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This dataset contains a forest canopy height map of the Peruvian Amazon and Andes region. The map is based on airborne light detection and ranging (lidar) data, combined with satellite-based maps, acquired in 2012. Units for the map are meters above ground level. The map is provided at 1.0 ha spatial resolution. Use of these data require citation of this dataset and the original journal paper that delivered the mapping method. These citations are as follows: Asner, G.P., D.E. Knapp, R.E. Martin, R. Tupayachi, C.B. Anderson, J. Mascaro, F. Sinca, K.D. Chadwick, M. Higgins, W. Farfan, W. Llactayo, and M.R. Silman. 2014. Targeted carbon conservation at national scales with high-resolution monitoring. Proceedings of the National Academy of Sciences 111(47):E5016-E5022 doi:10.1073/pnas.1419550111
tropical forest, forest, canopy height, carbon, Andes, Global Airborne Observatory, Carnegie Airborne Observatory, Amazon, lidar
tropical forest, forest, canopy height, carbon, Andes, Global Airborne Observatory, Carnegie Airborne Observatory, Amazon, lidar
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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