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- Martinez, Cristina, et al. Show all 4 Authors
- ISPRS journal of photogrammetry and remote sensing 2011 v.66 no.6 pp. 787-797
- algorithms; data collection; forest inventory; forest trees; global positioning systems; landscapes; lidar; models; prediction; uncertainty; Alps region
- ... Ground reference data collection represents an important element in the prediction of stem volume with LiDAR-derived variables, and at present it is the most expensive part of such analyses. In this paper two aspects of ground reference data collection were analyzed: (1) the positioning error of the ground plots; and (2) the optimal number of training plots. A system for the prediction of stem vol ...