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Can a Hierarchical Classification of Sentinel-2 Data Improve Land Cover Mapping?

, , and . Remote. Sens., 14 (4): 989 (2022)

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Use of satellite data for monitoring fire events in Poland., and . IGARSS, page 828-831. IEEE, (2014)Biophysical properties of wetlands vegetation retrieved from satellite images., , , , , and . IGARSS, page 4580-4583. IEEE, (2004)Mapping Forest Type and Tree Species on a Regional Scale Using Multi-Temporal Sentinel-2 Data., and . Remote. Sens., 11 (8): 929 (2019)Retrieval of crop parameters and soil moisture from ENVISAT ASAR based on model analysis., , , , and . IGARSS, page 2149-2152. IEEE, (2005)Assessing hypertemporal SENTINEL-1 COHERENCE maps for LAND COVER monitoring., , , , , , , , , and 5 other author(s). MultiTemp, page 1-3. IEEE, (2017)Can a Hierarchical Classification of Sentinel-2 Data Improve Land Cover Mapping?, , and . Remote. Sens., 14 (4): 989 (2022)Forest biomass retrieval approaches from earth observation in different biomes., , , , , , , , , and 9 other author(s). Int. J. Appl. Earth Obs. Geoinformation, (2019)Forest Aboveground Biomass Estimation Using a Combination of Sentinel-L and Sentinel-2 Data., , , , , , and . IGARSS, page 9026-9029. IEEE, (2018)Remotely detected fire events: Potential and challenges of validating against national ground data., and . IGARSS, page 2159-2162. IEEE, (2015)Changes in vegetation and rainfall patterns in sub-Saharan Africa over the last decade observed by satellites - a national and sub-national synthesis., , , , , and . IGARSS, page 2480-2483. IEEE, (2011)