Christopher Lynnes

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Online tools, such as those pioneered by Google Earth (GE), are changing the way in which scientists and the general public interact with three-dimensional geospatial data in a virtual environment. However, while GE provides a number of features to facilitate geospatial data visualization, there is currently no readily available method for rendering(More)
NASA provides a wide variety of Earth-observing satellite data products to a diverse community. These data are annotated with quality information in a variety of ways, with the result that many users struggle to understand how to properly account for quality when dealing with satellite data. To address this issue, a Data Quality Screening Service (DQSS) is(More)
Online tools, pioneered by the Google Earth (GE), are facilitating the way in which scientists and general public interact with geospatial data in real three dimensions. However, even in Google Earth, there is no method for depicting vertical geospatial data derived from remote sensing satellites as an orbit curtain seen from above. Here, an effective(More)
This paper describes approaches and methodologies facilitating the analysis of large amounts of distributed scientific data. The existence of full-featured analysis tools, such as the Algorithm Development and Mining (ADaM) toolkit and online data repositories now provide easy access and analysis capabilities to large amounts of data. However, there are(More)
The Hierarchical Data Format (HDF) has been a data format standard in National Aeronautic and Space Administration (NASA)’s Earth Observing System Data and Information System since the 1990s. Its rich structure, platform independence, full-featured application programming interface (API), and internal compression make it very useful for archiving science(More)