Application of Laser Remote Sensing to Forest Ecological Research
Author:
Publisher
The Japanese Forest Society
Reference176 articles.
1. Andersen H-E, McGaughey RJ, Reutebuch SE (2005) Estimating forest canopy fuel parameters using lidar data. Remote Sens Environ 94: 441-449
2. Andersen H-E, Reutebuch SE, McGaughey RJ (2006) A rigorous assessment of tree height measurements obtained using airborne lidar and conventional field methods. Can J Remote Sens 32: 355-366
3. Antonarakis AS, Richards KS, Brasington J (2008) Object-based land cover classification using airborne lidar. Remote Sens Environ 112: 2988-2998
4. Asai K, Sato A, Terasaki T, Sugimoto N (2010) Lidar for observation of vegetation environment from International Space Station (ISS) / Japanese Experiment Module (JEM) -Exposed Facility (EF). Proc SPIE 7860, Lidar Remote Sensing for Environmental Monitoring XI, 78600G
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