HR: 0800h
AN: SF21A-0023    [Abstracts]
TI: Tools for Accessing and Manipulating MODIS Snow & Sea Ice Products at the National Snow and Ice Data Center
AU: * Kaminski, M
EM: marilynk@nsidc.org
AF: National Snow and Ice Data Center, University of Colorado UCB 449, Boulder, CO 80309
AU: Khalsa, S
EM: sjsk@nsidc.org
AF: L-3 Communications Corporation, 1801 McCormick Drive Suite 170, Landover, MD 20774
AU: Haran, T
EM: tharan@nsidc.org
AF: National Snow and Ice Data Center, University of Colorado UCB 449, Boulder, CO 80309
AU: Wolfe, J
EM: wolfe@nsidc.org
AF: National Snow and Ice Data Center, University of Colorado UCB 449, Boulder, CO 80309
AB: Snow and sea ice cover are some of the more important spatial features of the Earth's surface that can be readily measured from space. Moderate Resolution Imaging Spectroradiometer (MODIS) instruments onboard NASA's Terra and Aqua spacecraft collect spectral data that are used to routinely produce snow cover and sea ice products. With higher spatial and spectral resolution, the MODIS snow and ice products (including snow albedo and sea ice surface temperature) improve upon a long history of global coverage satellite-derived products that have been produced from polar-orbiting satellites since the early 1970s. Fully automated, quality controlled, daily global maps of snow cover and sea ice extent, produced at 500m, 1000m, and $0.05\deg$ spatial resolutions by the MODIS Land Team, are available from the National Snow and Ice Data Center (NSIDC) Distributed Active Archive Center (DAAC). The product suite will be further enhanced beginning mid-2005 with the inclusion of fractional snow cover in the daily product, addition of a daily snow product in a polar projection, and production of monthly climate modeling grid products for both snow and sea ice. Several tools are now available to streamline data acquisition and processing for users. Automated access to current data can be obtained through ingest subscriptions, data pool cache scripting, and a machine-to-machine gateway. Users can select data with targeted interfaces and the EOS Data Gateway, both with online reduced-resolution images to allow users to identify usable data prior to ordering. Integrated data manipulation tools provide subsetting, gridding, and resampling of images prior to downloading, minimizing the burden of data management by users. Collectively, the suite enables users to efficiently manage the large quantity of MODIS data available for regional and global studies.
UR: http://nsidc.org/modis
DE: 1694 Instruments and techniques
DE: 1640 Remote sensing
SC: Special Focus: Advances in Data Acquisition, Management, Analysis and Display [SF]
MN: 2004 AGU Fall Meeting