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Habitat Mapping and Quality Assessment of NATURA 2000 Heathland Using Airborne Imaging Spectroscopy., , , , , , , , , and . Remote. Sens., 9 (3): 266 (2017)Historical land use databases: a new layer of information for geographical research., , and . Int. J. Humanit. Arts Comput., 5 (1): 41-58 (2011)Synergy of airborne LiDAR and Worldview-2 satellite imagery for land cover and habitat mapping: A BIO_SOS-EODHaM case study for the Netherlands., , , , , , , , , and 2 other author(s). Int. J. Appl. Earth Obs. Geoinformation, (2015)Land cover to habitat map translation: Disambiguation rules based on Earth Observation data., , , , , , , , and . IGARSS, page 3817-3820. IEEE, (2013)How many predictors in species distribution models at the landscape scale? Land use versus LiDAR-derived canopy height., , , , and . Int. J. Geogr. Inf. Sci., 28 (8): 1723-1739 (2014)Environmental science: Agree on biodiversity metrics to track from space, , , , , , , , , and 4 other author(s). NATURE, 523 (7561): 403 (July 2015)Discrimination of Vegetation Height Categories With Passive Satellite Sensor Imagery Using Texture Analysis., , , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 8 (4): 1442-1455 (2015)Object-based random forest classification for mapping floodplain vegetation structure from nation-wide CIR AND LiDAR datasets., , and . WHISPERS, page 1-4. IEEE, (2014)Priority list of biodiversity metrics to observe from space, , , , , , , , , and 21 other author(s). Nature Ecology and Evolution, (2021)Satellite Earth observation data to identify anthropogenic pressures in selected protected areas., , , , , , , , , and 3 other author(s). Int. J. Appl. Earth Obs. Geoinformation, (2015)