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L-band Synthetic Aperture Radar imagery performs better than optical datasets at retrieving woody fractional cover in deciduous, dry savannahs.

, , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2016)

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Meta-Optimization of the Extended Kalman Filter's Parameters Through the Use of the Bias Variance Equilibrium Point Criterion., , , , , , and . IEEE Trans. Geosci. Remote. Sens., 52 (8): 5072-5087 (2014)Connecting the Dots between Laser Waveforms and Herbaceous Biomass for Assessment of Land Degradation using Small-footprint Waveform LiDAR Data., , , , , , , , and . IGARSS (2), page 334-337. IEEE, (2009)Evaluation of rule-based classifier for Landsat-based automated land cover mapping in South Africa., , , , , , , and . IGARSS, page 4301-4304. IEEE, (2013)Remotely Sensed Phenology for Mapping Biomes and Vegetation Functional Types., , , , , , and . IGARSS (4), page 1034-1037. IEEE, (2009)The Quest for Automated Land Cover Change Detection using Satellite Time Series Data., , , , and . IGARSS (4), page 244-247. IEEE, (2009)Improving NDVI Time Series Class Separation using an Extended Kalman Filter., , , , and . IGARSS (4), page 256-259. IEEE, (2009)Long-Term Phenology and Variability of Southern African Vegetation., , , and . IGARSS (3), page 816-819. IEEE, (2008)Impacts of communal fuelwood extraction on LiDAR-estimated biomass patterns of savanna woodlands., , , , , , , and . IGARSS, page 1676-1679. IEEE, (2012)Applying Model Parameters as a Driving Force to a Deterministic Nonlinear System to Detect Land Cover Change., , , , and . IEEE Trans. Geosci. Remote. Sens., 55 (12): 7165-7176 (2017)Woody cover assessments in a Southern African savanna, using hyper-temporal C-band ASAR-WS data., , , , , and . IGARSS, page 1148-1151. IEEE, (2014)