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Assessing hypertemporal SENTINEL-1 COHERENCE maps for LAND COVER monitoring., , , , , , , , , and 5 other author(s). MultiTemp, page 1-3. IEEE, (2017)Forest biomass retrieval approaches from earth observation in different biomes., , , , , , , , , and 9 other author(s). Int. J. Appl. Earth Obs. Geoinformation, (2019)Successful Selection of the SoC Clocking Architecture., , , and . MIXDES, page 127-130. IEEE, (2023)Intraspecific Differences in Spectral Reflectance Curves as Indicators of Reduced Vitality in High-Arctic Plants., , , , , , , , and . Remote. Sens., 9 (12): 1289 (2017)Forest Aboveground Biomass Estimation Using a Combination of Sentinel-L and Sentinel-2 Data., , , , , , and . IGARSS, page 9026-9029. IEEE, (2018)Sentinel-1 InSAR Coherence for Land Cover Mapping: A Comparison of Multiple Feature-Based Classifiers., , , , , , , , , and 9 other author(s). IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2020)Sincohmap: Land-Cover and Vegetation Mapping Using Multi-Temporal Sentinel-1 Interferometric Coherence., , , , , , , , , and 2 other author(s). IGARSS, page 6631-6634. IEEE, (2018)Forest condition assessment through analyzing relations between meteorological parameters describing climate changes and vegetation indices derived from low-resolution satellite data., , and . IGARSS, page 3341-3344. IEEE, (2015)