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MODIS land cover and LAI collection 4 product quality across nine sites in the western hemisphere.

, , , , , , , , , and . IEEE Trans. Geosci. Remote. Sens., 44 (7-1): 1843-1857 (2006)

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Application of Physically-Based Slope Correction for Maximum Forest Canopy Height Estimation Using Waveform Lidar across Different Footprint Sizes and Locations: Tests on LVIS and GLAS., , , , , , , , and . Remote. Sens., 6 (7): 6566-6586 (2014)Changes over the Last 35 Years in Alaska's Glaciated Landscape: A Novel Deep Learning Approach to Mapping Glaciers at Fine Temporal Granularity., , , and . Remote. Sens., 14 (18): 4582 (2022)MODIS land cover and LAI collection 4 product quality across nine sites in the western hemisphere., , , , , , , , , and . IEEE Trans. Geosci. Remote. Sens., 44 (7-1): 1843-1857 (2006)Implementation of the LandTrendr Algorithm on Google Earth Engine., , , , , , and . Remote. Sens., 10 (5): 691 (2018)Mapping Annual Land Use and Land Cover Changes Using MODIS Time Series., , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 7 (8): 3421-3427 (2014)Landsat Time Series and Lidar as Predictors of Live and Dead Basal Area Across Five Bark Beetle-Affected Forests., , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 7 (8): 3440-3452 (2014)Assessing North American forest disturbance from the landsat archive., , , , , , , , , and . IGARSS, page 5294-5297. IEEE, (2007)Demystifying LandTrendr and CCDC temporal segmentation., , , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2022)Spatiotemporal image fusion in Google Earth Engine for annual estimates of land surface phenology in a heterogenous landscape., , , and . Int. J. Appl. Earth Obs. Geoinformation, (2021)Development of time series stacks of Landsat images for reconstructing forest disturbance history., , , , , , , , , and 1 other author(s). Int. J. Digit. Earth, 2 (3): 195-218 (2009)