(abstract for IGARSS 2002) MODster: Peer-to-Peer Sharing for Remote Sensing Standard Products JAMES FREW Donald Bren School of Environmental Science and Management University of California, Santa Barbara Standard data products from sensors on NASA's Earth Observing System (EOS) satellites (Terra and Aqua) are currently available only from a few EOS data centers. These centers can become distribution bottlenecks if demand for the products increases, or if the centers' data systems develop problems. Moreover, a few data centers cannot satisfy myriad demands for product customization (subsetting, re-formatting, re-projecting, etc.) Since EOS data are not copyrighted, there is no reason why non-EOS data centers, or even individual scientists, cannot redistribute whatever EOS data granules (basic units of distribution) they possess, and/or offer value-added transformations of those granules. In much the same way that the popular Napster service allowed participants to share well-known music files, we are building MODster to allow participants to share well-known data granules from the EOS Moderate Resolution Imaging Spectrometer (MODIS). By "well-known" we mean that the item to be shared adheres to a common naming scheme: artist and title for music; EOS "local granule ID" for MODIS. Thus a particular local granule ID always refers to the same data content, regardless of which sites actually house copies of the granule. A central Web server provides an up-to-date catalog of all MODIS products made available by any and all participating sites. The only requirement for these participants is that they make their MODIS granules available via HTTP, at URLs that they provide to the MODster server. The server's configuration database maintains [product, granule, URL] associations and uses them to redirect MODIS granule requests to whichever participating site can satisfy them. Participants in MODster thus have a standard way to publish their MODIS data holdings to the broader community, and may in turn access the entire community's holdings through a single "namespace" (the MODSter base URL plus the MODIS local granule ID). Direct delivery of data granules via HTTP lends itself easily to the superposition of value-added services. We are experimenting with two of these services in particular: the Distributed Ocean Data System (DODS) and the Web Mapping Services (WMS), which provide standard specifications for common operations like subsetting, and which can be directly connected to data analysis environments like MATLAB and ArcView.