ABSTRACT
Discovery (LEAD) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 226 10.4.2 Example 2: Landsat Data Continuity Mission (LDCM)
Grid Prototype (LGP) Project . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 228 10.4.3 Example 3: NOAA National Operational Model Archive
and Distribution System (NOMADS) . . . . . . . . . . . . . . . . . . . . . . . . . 229 10.5 Remote Sensing Grids: Adoption . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 230 10.6 Acronyms . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 231 References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 232
10.1 Introduction In the last 40 years, remote sensing of the Earth has seen a continuous growth in the capabilities of the instrumentation (satellites, airborne, and ground-based sensors that monitor and measure the environment) that provides the fundamental data sets and an increase in the complexity of the data analyses and modeling that these data sets support. The rate of increase in the remote sensing data volume continues to grow. Additionally, the number of organizations and users is also expanding and is now a worldwide community struggling to share data and resources. These trends necessitate a shift in the way in which remote sensing systems are designed and implemented in order to manage and process these massive data sets and support users worldwide.
