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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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Robust Change Vector Analysis (RCVA) for multi-sensor very high resolution optical satellite data., , , and . Int. J. Appl. Earth Obs. Geoinformation, (2016)Simulating Urban Growth in Nakuru (Kenya) Using Java-Based Modelling Platform XULU., , and . EMS, page 103-108. IEEE, (2013)Derivation of stress severities in wheat from hyperspectral data using support vector regression., , , and . WHISPERS, page 1-4. IEEE, (2010)Estimation and validation of leaf area index time series for crops on 5M scale from space., , , , and . IGARSS, page 3837-3840. IEEE, (2013)Requirements on Spectral Resolution of Remote Sensing Data for Crop Stress Detection., , and . IGARSS (1), page 184-187. IEEE, (2009)Comparison of Medium Spatial Resolution ENVISAT-MERIS and Terra-MODIS Time Series for Vegetation Decline Analysis: A Case Study in Central Asia., , , and . Remote Sensing, 6 (6): 5238-5256 (2014)Monitoring Forest Dynamics in the Andean Amazon: The Applicability of Breakpoint Detection Methods Using Landsat Time-Series and Genetic Algorithms., , and . Remote Sensing, 9 (1): 68 (2017)SPOT-Based Sub-Field Level Monitoring of Vegetation Cover Dynamics: A Case of Irrigated Croplands., , , , , and . Remote Sensing, 7 (6): 6763-6783 (2015)Monitoring and Modeling Urban Land-Use Change with Multitemporal Satellite Data., , , and . IGARSS (4), page 510-513. IEEE, (2008)Fusion of support vector machines for classifying SAR and multispectral imagery from agricultural areas., , and . IGARSS, page 4842-4845. IEEE, (2007)