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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)

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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)Validation of the Two Standard MODIS Satellite Burned-Area Products and an Empirically-Derived Merged Product in South Africa., , , , , , and . Remote. Sens., 6 (2): 1275-1293 (2014)Indirect Estimation of Structural Parameters in South African Forests Using MISR-HR and LiDAR Remote Sensing Data., , , , , , and . Remote. Sens., 10 (10): 1537 (2018)Hyper-Temporal C-Band SAR for Baseline Woody Structural Assessments in Deciduous Savannas., , , , , and . Remote. Sens., 8 (8): 661 (2016)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)Land Cover Change Detection Using the Internal Covariance Matrix of the Extended Kalman Filter Over Multiple Spectral Bands., , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 6 (3): 1079-1085 (2013)A modified temporal criterion to meta-optimize the extended Kalman filter for land cover classification of remotely sensed time series., , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2018)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)