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Using RapidEye and MODIS Data Fusion to Monitor Vegetation Dynamics in Semi-Arid Rangelands in South Africa.

, , , , , , , and . Remote. Sens., 7 (6): 6510-6534 (2015)

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Bush encroachment detection in Africa - A multi-scale approach., , , and . IGARSS, page 4270-4273. IEEE, (2017)Timing is Everything - Drought Classification for Risk Assessment., , , , , , , , , and . IGARSS, page 8267-8270. IEEE, (2018)Wide-area mapping of invasive species propagation and containment zones in somaliland using phenometric trends and generalized linear modelling., , , , and . IGARSS, page 1103-1106. IEEE, (2017)Mapping vegetation productivity dynamics and degradation trends over East Africa using a decade of medium Resolution MODIS time-series data., and . IGARSS, page 1801-1804. IEEE, (2013)Phenomapping of rangelands in South Africa using time series of RapidEye data., , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2016)Assessment of Drought Effects on Forests using Non-Parametric Methods and Satellite Imagery, , , and . 40. Wissenschaftlich-Technische Jahrestagung der DGPF, volume 29 of Publikationen der DGPF, page 1--12. Stuttgart, Germany, (2020)Derivation of temporal windows for accurate crop discrimination in heterogeneous croplands of Uzbekistan using multitemporal RapidEye images, , , , , , , and . Computers and Electronics in Agriculture, (2014)Mapping Cropland Abandonment in the Aral Sea Basin with MODIS Time Series., , , , , , and . Remote. Sens., 10 (2): 159 (2018)Quantifying the Impacts of Environmental Factors on Vegetation Dynamics over Climatic and Management Gradients of Central Asia., , , and . Remote. Sens., 8 (7): 600 (2016)Observing vegetation dynamics at medium spatial scale: Lessons from Africa and Asia., , , , , and . IGARSS, page 3969-3972. IEEE, (2015)