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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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Stability of Sample-Based Scanning-LiDAR-Derived Vegetation Metrics for Forest Monitoring., , , , , and . IEEE Trans. Geosci. Remote. Sens., 49 (6-2): 2385-2392 (2011)A space-time data cube: Multi-temporal forest structure maps from landsat and lidar., , , , , , and . IGARSS, page 2581-2584. IEEE, (2017)Area-Based Mapping of Defoliation of Scots Pine Stands Using Airborne Scanning LiDAR., , , , , , , and . Remote. Sens., 5 (3): 1220-1234 (2013)Prediction and assessment of bark beetle-induced mortality of lodgepole pine using estimates of stand vigor derived from remotely sensed data, , , and . Remote Sensing of Environment, (2009)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)An Efficient Protocol to Process Landsat Images for Change Detection With Tasselled Cap Transformation., , , , , and . IEEE Geosci. Remote. Sens. Lett., 4 (1): 147-151 (2007)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)Combining Multi-Date Airborne Laser Scanning and Digital Aerial Photogrammetric Data for Forest Growth and Yield Modelling., , , , , and . Remote Sensing, 10 (2): 347 (2018)Using Spatial Features to Reduce the Impact of Seasonality for Detecting Tropical Forest Changes from Landsat Time Series., , , , , and . Remote Sensing, 10 (6): 808 (2018)Object-based random forest modelling of aboveground forest biomass outperforms a pixel-based approach in a heterogeneous and mountain tropical environment., , , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2019)