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Satellite-observed changes in terrestrial vegetation growth trends across the Asia-Pacific region associated with land cover and climate from 1982 to 2011.

, , , , and . Int. J. Digit. Earth, 9 (11): 1055-1076 (2016)

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Predicting Sphaeropsis sapinea damage on Pinus radiata stands from CASI-2 using spectral mixture analysis., , and . IGARSS, page 1007-1012. IEEE, (2004)Stability of Sample-Based Scanning-LiDAR-Derived Vegetation Metrics for Forest Monitoring., , , , , and . IEEE Trans. Geosci. Remote. Sens., 49 (6-2): 2385-2392 (2011)Detecting forest damage after a low-severity fire using remote sensing at multiple scales., , , and . Int. J. Appl. Earth Obs. Geoinformation, (2015)Characterization of spatial relationships between three remotely sensed indirect indicators of biodiversity and climate: a 21years' data series review across the Canadian boreal forest., , , , and . Int. J. Digit. Earth, 9 (7): 676-696 (2016)Modeling Gross Primary Production for Sunlit and Shaded Canopies Across an Evergreen and a Deciduous Site in Canada., , , , , , and . IEEE Trans. Geosci. Remote. Sens., 55 (4): 1859-1873 (2017)Species and stand-age driven differences in photochemical reflectance index and light use efficiency across four temperate forests., , , , , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2021)Classification of residential building architectural typologies using LiDAR., , , , and . JURSE, page 221-224. IEEE, (2011)Correction, update, and enhancement of vectorial forestry road maps using ALS data, a pathfinder, and seven metrics., , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2022)Maintaining accurate, current, rural road network data: An extraction and updating routine using RapidEye, participatory GIS and deep learning., , , and . Int. J. Appl. Earth Obs. Geoinformation, (2020)Towards analysis ready data of optical CubeSat images: Demonstrating a hierarchical normalization framework at a wetland site., , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2021)