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Airborne S-Band SAR for Forest Biophysical Retrieval in Temperate Mixed Forests of the UK., , , , , , , , , and 13 other author(s). Remote. Sens., 8 (7): 609 (2016)Post-fire vegetation phenology in Siberian burn scars., , , and . IGARSS, page 4652-4655. IEEE, (2007)Exploring the Use of MODIS NDVI-Based Phenology Indicators for Classifying Forest General Habitat Categories., , and . Remote Sensing, 4 (6): 1781-1803 (2012)Mapping Forest Cover and Forest Cover Change with Airborne S-Band Radar., , , , , , , , , and 2 other author(s). Remote. Sens., 8 (7): 577 (2016)Characterization of a Highly Biodiverse Floodplain Meadow Using Hyperspectral Remote Sensing within a Plant Functional Trait Framework., , , , , , , , and . Remote. Sens., 8 (2): 112 (2016)Deriving Hyper Spectral Reflectance Spectra from UAV Data Collected in Changeable Illumination Conditions to Assess Vegetationcondition., , , , , , and . IGARSS, page 8837-8840. IEEE, (2018)Exploring the Biophysical Drivers of Amazon Phenology: Preparing Data Sets to Improve Dynamic Global Vegetation Models., , , , , , , and . IGARSS (2), page 137-140. IEEE, (2008)Forest fire scar detection in the boreal forest with multitemporal SPOT-VEGETATION data., , , , , , and . IEEE Trans. Geosci. Remote. Sens., 41 (11): 2575-2585 (2003)Disturbances in the Siberian boreal forest - mapping fire-scars using multitemporal, multisensor approach., , , , , , and . IGARSS, page 491-493. IEEE, (2003)Template Phenology for Vegetation Models., , , , , , , , and . IGARSS (4), page 1042-1045. IEEE, (2009)