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eScience in the cloud: A MODIS satellite data reprojection and reduction pipeline in the Windows Azure platform., , , , , and . IPDPS, page 1-10. IEEE, (2010)Google street view and deep learning: a new ground truthing approach for crop mapping., and . CoRR, (2019)Long-term global radiation, carbon and water fluxes derived from multi-satellite data and a process-based model., and . IGARSS, page 5217-5220. IEEE, (2016)Global Surface Net-Radiation at 5 km from MODIS Terra., , , , , , , , , and 8 other author(s). Remote. Sens., 8 (9): 739 (2016)Assessing the Value of Cloudbursting: A Case Study of Satellite Image Processing on Windows Azure., , , , and . eScience, page 126-133. IEEE Computer Society, (2011)Data-intensive science: The Terapixel and MODISAzure projects., , , , , , , , , and 2 other author(s). IJHPCA, 25 (3): 304-316 (2011)FluoSpec 2 - An Automated Field Spectroscopy System to Monitor Canopy Solar-Induced Fluorescence., , , , , , , , , and . Sensors, 18 (7): 2063 (2018)Inter- and intra-annual variations of clumping index derived from the MODIS BRDF product., , , , , , , , , and 2 other author(s). Int. J. Applied Earth Observation and Geoinformation, (2016)Fault Tolerance and Scaling in e-Science Cloud Applications: Observations from the Continuing Development of MODISAzure., , , , , , and . eScience, page 246-253. IEEE Computer Society, (2010)CAMP: Community Access MODIS Pipeline., , , , , and . Future Gener. Comput. Syst., (2014)