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Earth scientists are increasingly experiencing difficulties with analyzing rapidly growing volumes of complex data. Those who must perform analysis directly on low-level National Aeronautics and Space Administration (NASA) Moderate Resolution Imaging Spectroradiometer (MODIS) Level 1B calibrated and geolocated data, for example, encounter an arcane, high-volume data set that is burdensome to make use of. Instead, Earth scientists typically opt to use higher-level "canned" products provided by NASA. However, when these higher-level products fail to meet the requirements of a particular project, a cruel dilemma arises: cope with data products that don't exactly meet the project's needs or spend an enormous amount of resources extracting what is needed from the unadulterated low-level data. In this paper, we present EarthDB, a system that eliminates this dilemma by offering the following contributions:
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