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Detection of Burned Areas in Southern African Savannahs Using Time Series of C-Band Sentinel-1 Data., , , , и . IGARSS, стр. 5337-5339. IEEE, (2018)Woody cover assessments in a Southern African savanna, using hyper-temporal C-band ASAR-WS data., , , , , и . IGARSS, стр. 1148-1151. IEEE, (2014)Integrating Remote Sensing and Ancillary Data for Regional Ecosystem Assessment: Eucalyptus Grandis Agro-system in KwaZulu-Natal, South Africa., , , , , , , и . IGARSS (4), стр. 264-267. IEEE, (2009)Estimating South African Maize Biomass Using Integrated High-Resolution UAV and Sentinel 1 and 2 Datasets., , , , и . IGARSS, стр. 1594-1596. IEEE, (2021)Mapping and Monitoring Fractional Woody Vegetation Cover in the Arid Savannas of Namibia Using LiDAR Training Data, Machine Learning, and ALOS PALSAR Data., , , , , и . Remote. Sens., 11 (22): 2633 (2019)Evaluating the Seasonality of Remote Sensing Indicators of System State for Eucalyptus Grandis Growing on Different Site Qualities., , , и . IGARSS (3), стр. 487-490. IEEE, (2008)L-band Synthetic Aperture Radar imagery performs better than optical datasets at retrieving woody fractional cover in deciduous, dry savannahs., , , , и . Int. J. Appl. Earth Obs. Geoinformation, (2016)The assessment of data mining algorithms for modelling Savannah Woody cover using multi-frequency (X-, C- and L-band) synthetic aperture radar (SAR) datasets., , , , , , и . IGARSS, стр. 1049-1052. IEEE, (2014)