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Alaska Satellite Facility - Distributed Active Archive Center

SAR Data Sets

Data Sets supported and hosted by the Alaska Satellite Facility

SMAP – Tools

Documents Name Description ATBD Documents Algorithm theoretical basis documents are listed with the products available for download. Product Specification Documents Product specification documents are listed with the products available for download. ASF SMAP User Guide For Level 1 products, a streamlined guide to accessing data, using SMAP products, understanding acronyms and abbreviations, and more. Radar …

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International Polar Year – GIIPSY – Space Task Group Meetings

2006 Briefing to WMO, GEO and IPY JCOMM SCOBS, Oct. 12 (Drinkwater)Briefing to IGOS Cryosphere Team, Oct. 16, ESTECBriefing at NSIDC, Oct. 25, BoulderPresentation at IGS Nordic Branch, Tromso, Oct. 2006 (Lytle)GIIPSY participation in CSA Radarsat-1 Archive Processing Meeting, Nov. 8, OttawaGIIPSY Team meeting, Dec 12 Briefing to WCRP CLiC, Boulder, Colorado, Dec. 6 (Drinkwater) GIIPSY …

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SMAP – Data and Imagery

SMAP Data Products Instrument events timetable The SMAP baseline science-data products will be publicly available through two NASA-designated data centers, the Alaska Satellite Facility (ASF) and the National Snow and Ice Data Center (NSIDC) DAAC. ASF will distribute the Level 1 radar products and NSIDC will distribute the radiometer and Level 2-4 products. All products will …

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Sentinel-1 – Data Feeds

Click site name to see feed, or see instructions down below. Feeds ordered by date of event or request — newest on top. Includes 6 Group on Earth Observations (GEO) Geohazard Supersites. Mount Agung, Bali https://feeds.daac.dev.asf.alaska.edu/sentinel/mt_agung_volcano/mt_agung_volcano_feed.xml Hurricane Irma https://feeds.daac.dev.asf.alaska.edu/sentinel/hurricane_irma/hurricane_irma_feed.xml Mexico Earthquakes https://feeds.daac.dev.asf.alaska.edu/sentinel/mexico_earthquake/mexico_earthquake_feed.xml Hurricane Harvey https://feeds.daac.dev.asf.alaska.edu/sentinel/texas_hurricane_harvey/texas_hurricane_harvey_feed.xml Solomon Islands https://feeds.daac.dev.asf.alaska.edu/sentinel/solomon_islands/solomon_islands_feed.xml Indonesia Earthquake https://feeds.daac.dev.asf.alaska.edu/sentinel/indonesia/indonesia_feed.xml New Zealand Earthquake https://feeds.daac.dev.asf.alaska.edu/sentinel/new_zealand/new_zealand_feed.xml Japan https://feeds.daac.dev.asf.alaska.edu/sentinel/japan/japan_feed.xml Central Italy https://feeds.daac.dev.asf.alaska.edu/sentinel/italy/italy_feed.xml Ecuador …

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Seasat – Technical Challenges – 8. Focusing Challenges

In modern systems, synthetic aperture radar (SAR) echoes are sampled in a complex fashion using IQ-demodulation. The I and Q components are samples of the same signal that are taken 90 degrees out of phase. Separating I and Q in this way allows measurement of the relative phase of the components of the signal, and is a requirement for the SAR focusing algorithm. The Seasat platform used an older method to sample echoes, storing real (not complex) returns in offset video format.

International Polar Year – GIIPSY Documents, Publications, and Mission Plans

Documents GIIPSY Proposal to ICSU/WMO Joint Committee on IPYGIIPSY Endorsement LetterLetter announcing ESA IPY AOGIIPSY vu-graph packageData Strategy 3.0 NEW! GIIPSY Close Out Package (pptx, pdf, ppt) Science Data Requirements and Mission Planning The following files summarize a community assessment of GIIPSY satellite data requirements. Detailed requirements and justifications are discussed in the GIIPSY Science …

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Seasat – Technical Challenges – 4. Data Cleaning (Part 2)

4.3 Prep_Raw.sh After development of each of the software pieces described previously in this section, the entire data cleaning process was driven by the program prep_raw.sh. This procedure was run on all of the swaths that were output from SyncPrep to create the first version of the ASF online Seasat raw data archive (the fixed_ …

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Seasat – Technical Challenges – 2. Decoder Development

Starting in the summer of 2012, ASF undertook the significant challenge of developing a Seasat telemetry decoder in order to create raw data files suitable for focusing by a synthetic aperture radar (SAR) correlator. In this case, that means processible by ROI, the Repeat Orbit Interferometry package developed at Jet Propulsion Laboratory. In addition to …

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