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Monitoring vegetation dynamics with medium resolution MODIS-EVI time series at sub-regional scale in southern Africa.

, , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2015)

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Predicting Species and Structural Diversity of Temperate Forests with Satellite Remote Sensing and Deep Learning., , and . Remote. Sens., 14 (7): 1631 (2022)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)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)On the relevance of radiometric normalization of dense Landsat time series for forest monitoring., , , and . IGARSS, page 2665-2668. IEEE, (2015)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)Assessment of Land Degradation in Semiarid Tanzania - Using Multiscale Remote Sensing Datasets to Support Sustainable Development Goal 15.3., , , and . Remote. Sens., 13 (9): 1754 (2021)Maize Growth and Condition Monitoring with Multisensor Remotely Sensed Time Series., , , , and . IGARSS, page 2818-2821. IEEE, (2019)