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A Comparison of Imputation Approaches for Estimating Forest Biomass Using Landsat Time-Series and Inventory Data., , , , and . Remote Sensing, 10 (11): 1825 (2018)Next Generation Fire Detection from Geostationary Satellites., , , , , and . IGARSS, page 5465-5468. IEEE, (2018)Landsat Time-Series for Estimating Forest Aboveground Biomass and Its Dynamics across Space and Time: A Review., , , , and . Remote Sensing, 12 (1): 98 (2020)Combining Object-Based Machine Learning with Long-Term Time-Series Analysis for Informal Settlement Identification., , , and . Remote. Sens., 14 (5): 1226 (2022)Sharing Field Spectroscopy Data within Large Data Sharing Systems., , , and . GSR, volume 1307 of CEUR Workshop Proceedings, CEUR-WS.org, (2014)Detecting Change in Burnt Landscapes using a Terrestrial LiDAR System., , , and . GSR, volume 1328 of CEUR Workshop Proceedings, CEUR-WS.org, (2012)Deriving Metrics of Vertical Structure at the Plot Level for Use in Regional Characterisation of S.E. Australian Forests., , , , , , , and . GSR, volume 1328 of CEUR Workshop Proceedings, CEUR-WS.org, (2012)An Evaluation of the Utility of Two Classifiers for Mapping Woody Vegetation Using Remote Sensing., and . GSR, volume 1328 of CEUR Workshop Proceedings, CEUR-WS.org, (2012)The Effect of Surrounding Vegetation on Basal Stem Measurements Acquired Using Low-Cost Depth Sensors in Urban and Native Forest Environments., , , , and . Sensors, 23 (8): 3933 (2023)Using Landsat time series and bi-temporal GEDI to compare spectral and structural vegetation responses after fire., , , and . Int. J. Appl. Earth Obs. Geoinformation, (August 2023)