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Observing vegetation dynamics at medium spatial scale: Lessons from Africa and Asia.

, , , , , and . IGARSS, page 3969-3972. IEEE, (2015)

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Bush encroachment detection in Africa - A multi-scale approach., , , and . IGARSS, page 4270-4273. IEEE, (2017)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)Timing is Everything - Drought Classification for Risk Assessment., , , , , , , , , and . IGARSS, page 8267-8270. IEEE, (2018)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)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)Object-based identification of vegetation cover decline in irrigated agro-ecosystems in Uzbekistan, , , , and . Quaternary International, (2013)Hydrological and Ecological Responses to Climatic Change and to Land-use/land-cover changes in Central Asia.Object-based cropland degradation identification: a case study in Uzbekistan, , , , and . SPIE Remote Sensing, volume 8538 of Earth Resources and Environmental Remote Sensing/GIS Applications III, SPIE, (2012)Maize Growth and Condition Monitoring with Multisensor Remotely Sensed Time Series., , , , and . IGARSS, page 2818-2821. IEEE, (2019)Trend analysis of MODIS time-series using different vegetation indices for monitoring of cropland degradation and abandonment in central Asia., , and . IGARSS, page 6589-6592. IEEE, (2012)