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Click & drag to select 1 or more items. Processing levels listed below are dynamically generated from the data. Select multiple similar values to get the best search results.Windows/Linux: Hold down the control (ctrl) button to select multiple options. Mac: Hold down the command (โŒ˜) button to select multiple options. Processing Level (Any of 16) clear 0 1 1A 1B 1T 2 2G 2P 3 4 L1B L1T Level 1 Level 2 Level 3 NA

http://reverb.echo.nasa.gov/reverb/#utf8=%E2%9C%93&spatial_map=satellite&spatial_type=rectangle

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Google Earth/KML Files Real-Time EarthquakesDisplay real-time earthquakes, seismicity animations, and several real-time earthquake options including color by age/depth. ShakeMapsMaps of ground motion and shaking intensity for significant earthquakes. Google Earth KML files are in the Downloads area for each individual earthquake under the GIS Files heading. Quaternary Faults & Folds in the U.S.Faults and associated folds in the United States that are believed to be sources of M>6 earthquakes during the Quaternary (the past 1,600,000 years). History of Newton's Papers (1727-1872) At his death on 20 March 1727,[1] Isaac Newton left papers relating to all areas of the intellectual pursuits he had followed since arriving at Trinity College, Cambridge, in the summer of 1661.[2] His friend, relative by marriage (to Newton's half-niece Catherine Barton) and successor at the Mint, John Conduitt, posted a bond for Newton's debts and claimed entitlement to this material, Newton having died intestate. As is evident from a number of manuscripts adorned with Conduitt's notes and corrections -- for example the manuscript of 'An historical account of two notable corruptions of Scripture in a Letter to a Friend' (now New College, Oxford, Ms. 361.4) -- he took a serious scholarly interest in the papers he had acquired, although this was also partly directed towards the possibility of their publication. Continue reading about the donation of Newton's scientific papers to Cambridge University in 1872 [12] S.

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Giovanni โ€” GES DISC: Goddard Earth Sciences, Data & Information Services Center Info Contributors: tonyr, rchowdhury Giovanni - Interactive Visualization and Analysis - GES DISC: Goddard Earth Sciences, Data and Information Services Center Spectral Hourglass Wizard (Using ENVI) Use the Spectral Hourglass Wizard to guide you step-by-step through the ENVI hourglass processing flow to find and map image spectral endmembers from hyperspectral or multispectral data. The Wizard displays detailed instructions and useful information for each function. From the Toolbox, select Spectral > Spectral Unmixing > Spectral Hourglass Wizard to start the workflow. The following chart shows the processing flow:

Fire Data in Google Earth KML Access:The links below provide access to several geospatial datasets relevant to fire management in Keyhole Markup Language (KML/KMZ) format for use in Google Earth and other virtual globe applications. Geospatial data are organized by specified geographic region and include location and characterization of satellite fire detections, current large incident locations and NWS fire weather forecasts. All KMLs update automatically to ensure availability of the latest information (Current link). Animatated time series KMLs are provided for the latest updates of each of the fire detection data layers (Animation link). Extreme Weather 2011 A year for the record books From extreme drought, heat waves and floods to unprecedented tornado outbreaks, hurricanes, wildfires and winter storms, a record 14 weather and climate disasters in 2011 each caused $1 billion or more in damages โ€” and most regrettably, loss of human lives and property. NOAA's National Weather Service has redoubled its efforts to create a "Weather-Ready Nation", where vulnerable communities are better prepared for extreme weather and other natural disasters. NOAA forecasts, advisories, watches, warnings and community-based preparedness programs have been and will continue play an even greater role in enhancing the economy and saving lives. A Weather-Ready Nation is one in which businesses, governments and the public are armed with accurate forecasts and other critical information on which to make smart decisions to protect life and property when severe weather threatens. Get historical and current billion-dollar disaster information from NOAA's NCDC ยป

5 Sources for Free Astronomy Education Online Free online courses in astronomy are offered by real schools. Learn which astronomy courses are available, what topics they cover and which ones lead to real college credit. Free online courses in astronomy are generally available as non-credit options. These courses don't require registration, and students can learn through audio and video lectures, text lectures, podcasts and downloads. Some of these courses include lecture notes or exams. Extrasolar Planets: Physics and Detection Techniques at Massachusetts Institute of Technology CoastWatch: Software CoastWatch Utilities v3.3.0 The CoastWatch Utilities software allows users to work with Earth science data created by the NOAA/NESDIS CoastWatch program. Users can easily manipulate and visualize data in CoastWatch HDF format, NOAA 1b, and some flavors of NetCDF 4. The software has both graphical interface tools providing a point-and-click interface and command-line tools for use in batch data processing scripts.

AVHRR NDVI3g 30+ Years of LAI3g and FPAR3g Data Sets We are providing you free access to a 30+ year long global data sets of vegetation leaf area index (LAI3g) and fraction vegetation absorbed photosynthetically active radiation (FPAR3g). These data sets were derived from the third generation GIMMS NDVI3g data set (hence the suffix "3g"). The data sets are at 1/12 degree resolution, 15-day composites (2 per month) and span the period July 1981 to December 2011. A set of neural networks were first trained on best-quality and significantly post-processed MODIS LAI and FPAR products and AVHRR GIMMS NDVI3g data for the overlapping period (2000 to 2009). Fire Detection GIS Data MODIS Fire Detection GIS Data: MODIS fire detection data for the current year are compiled Terra and Aqua MODIS fire and thermal anomalies data generated from MODIS near real-time direct readout data acquired by the USDA Forest Service Remote Sensing Applications Center, University of Wisconsin Space Science and Engineering Center, University of Alaska-Fairbanks Geographic Information Network of Alaska, the NASA Goddard Space Flight Center Direct Readout Laboratory, and NASA Goddard Space Flight Center MODIS Rapid Response System. These data are provided as the centroids of the 1km fire detections and are a composite dataset compiled from the listed sources. MODIS fire detection data for years 2000 to 2009 are Terra and Aqua MODIS fire and thermal anomalies data from the official NASA MCD14ML product, Collection 5, Version 1. These data are provided as the centroids of the 1km fire detections. GIS data provided in ESRI shapefile, coverage and geodatabase formats.

Frozen Planet: Explore the polar regions Click on the image below to start exploring the Arctic and Antarctic. You can access geographic information provided by Arctic and Antarctic experts, watch videos of the wildlife in each region, and see important historical events as people explore the polar regions. Copyrighted image Credit: The Open University Launch Frozen Planet 9 Special thanks to British Antarctic Survey 2012 March 12 - The Scale of the Universe Interactive Discover the cosmos! Each day a different image or photograph of our fascinating universe is featured, along with a brief explanation written by a professional astronomer. 2012 March 12

MODIS/VIIRS Burn Scar Data MODIS/VIIRS Burn Scar Data: MODIS and VIIRS burn scar data are provided at a spatial resolution of 500 meters and attributed with the approximate day of burning on a per pixel basis (VIIRS burn scar data are oversampled from the native 750 meter resolution). These products are similar to the official MODIS 500 meter burned area product (MCD45A1), but are based on a different algorithmic approach. The algorithm employed for this product is an automated hybrid algorithm developed by Dr. Louis Giglio, and currently implemented as an Alpha product in the International Polar Orbiter Processing Package (IPOPP) by the NASA Direct Readout Laboratory (DRL).

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