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Estimation of Airborne Lidar-Derived Tropical Forest Canopy Height Using Landsat Time Series in Cambodia.

, , , , , , , , , , , , and . Remote. Sens., 6 (11): 10750-10772 (2014)

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Forest structure classification using airborne multispectral image texture and kriging analysis., and . IGARSS, page 2522-2524. IEEE, (2002)Aerial, GIS, and field data calibration of a Landsat ETM+ mountain pine beetle detection procedure in British Columbia, Canada., , , and . IGARSS, page 2887-2889. IEEE, (2002)Assessing cloud contamination effects on K-means unsupervised classifications of Landsat data., and . IGARSS, page 3387-3389. IEEE, (2002)Structural change detection in a disturbed conifer forest using a geometric optical reflectance model in multiple-forward mode., , , , and . IEEE Trans. Geosci. Remote. Sens., 41 (1): 163-166 (2003)Remote Sensing of Ecology, Biodiversity and Conservation: A Review from the Perspective of Remote Sensing Specialists., , , and . Sensors, 10 (11): 9647-9667 (2010)Spatial and spectral variability due to Landsat image acquisition date: the impact on image classification., and . IGARSS, page 889-892. IEEE, (2002)Extending Airborne Lidar-Derived Estimates of Forest Canopy Cover and Height Over Large Areas Using kNN With Landsat Time Series Data., , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 9 (8): 3489-3496 (2016)Estimation of Airborne Lidar-Derived Tropical Forest Canopy Height Using Landsat Time Series in Cambodia., , , , , , , , , and 3 other author(s). Remote. Sens., 6 (11): 10750-10772 (2014)