Terrestrial Environments, Planetary Atmospheric Modeling, Radiation Shielding
Earth Science Datacasting v2.0
Based on the popular concept of podcasting, which gives listeners the capability to download only those mp3 files that match their preference, earth science datacasting will give users control to download only the earth science data files that are required for a particular application. In essence, earth science datacasting is a simple, yet powerful informed pull and visualization mechanism. Earth science datacasting will be modeled on the server-client architecture used in podcasting and will leverage existing NASA capabilities. On the server side, the latest data granule is placed in an on-line store and an XML feed is created for the granule. The XML feed is based on the RSS 2.0 and GeoRSS 1.0 standard, with additional namespaces for describing earth science data (dataset and granule level descriptions).
U.S. Government Purpose Release
GLOBE Program's Citizen Science Cloud App for iOS
GLOBE members currently enter their scientific data using a Data Entry tool on GLOBEs site. The GLOBE Cloud Data Entry App will allow non-GLOBE members and GLOBE members to enter cloud observations into their mobile device and send their observations to the GLOBE database. Users will be able to enter the data while the mobile device is not connected to the Internet, with data sent to GLOBE on user command when the device is on the Internet.
General Public Release
EarthKit provides a framework for collaboration among researchers in Earth science. It provides a set of software tools for sharing any user's research environment via the web and managing workflows that run in the cloud. By leveraging cloud computing services in this novel way, EarthKit can instantly replicate a reesarch computing environment (software, data, operating system environment and hardware).
NASA Visualization Explorer (NASA Viz) for Android
NASA Visualization Explorer (NASA Viz) is an intuitive interactive Android application and an extension of the NASAViz iPad and iPhone versions*. The application delivers science stories with multimedia content linking high-quality explorable images, descriptive text, visualizations, videos and interviews with a fresh look and feel. App features include: credit information for each story, ability to share stories with social media and to create lists of stories that can be shared with other users, explore stories by keywords and search.
General Public Release
Space Physics Data Facility (SPDF) Web Services
These Web services provide a distributed programming interface to a portion of the Space Physics Data Facility (SPDF) software. The technology conforms to all applicable Web service specifications of the World Wide Web Consortium. Please visit the following URL for additional information: http://spdf.gsfc.nasa.gov/
CEOS Data Cube Platform v.2 (CEOS2)
The Committee on Earth Observation Satellites (CEOS) has long recognized a need for data processing infrastructure to support Earth science objectives in developing countries. Forest preservation initiatives, carbon measurement initiatives, water management and agricultural monitoring are just few examples of causes that can benefit greatly from remote sensing data. Currently, however, many developing nations lack the in-country expertise and computational infrastructure to utilize remote sensing data. The CEOS Data Cube Platform provides a flexible model to address these needs. The CEOS Data Cube Platform is a data processing platform for Earth science data, with a focus on remote-sensing data. The platform provides a data ingestion framework that includes support for automated ingestion of a wide variety of remote sensing data products. The data products are ingested into an N-dimensional data array that abstracts away management of distinct acquisitions. The platform has a tiered API for data processing and a data/application platform layer for higher-level access.
Earthdata Search Web Application
Earthdata Search is a web application enabling users to quickly and intuitively discover, search, visualize, and access Earth Science data in a highly visual manner. It interfaces with and demonstrates current state-of-the-art services provided by NASA EOSDIS such as the Common Metadata Repository (CMR) for sub-second search results, the Global Imagery Browse Services (GIBS) for fast tiled imagery visualizations of data, and OPeNDAP for data access, transformation, and subsetting.
Desktop Exploration of Remote Terrain (DERT)
Desktop Exploration of Remote Terrain (DERT) is a software tool for exploring large Digital Terrain Models (DTMs) in 3D. It aids in understanding topography and spatial relationships of terrain features, as well as performing simple analysis tasks relevant to the planetary science community.
Common Metadata Repository
The Common Metadata Repository (CMR) is a spatial and temporal metadata registry that enables the science community to more easily discover, use, and exchange NASA's data and services. The CMR's main objective is to enable broader use of NASA's Earth observing systems' (EOSDIS) data. It allows users to more efficiently and reliably search and access data and services and increases the potential for interoperability with new tools and services. The CMR stores metadata from a variety of science disciplines and domains, including Climate Variability and Change, Carbon Cycle and Ecosystems, Earth Surface and Interior, Atmospheric Composition, Weather, and Water and Energy Cycle. To ensure the quality of the metadata, the CMR system contains a tool called the Metadata Management Tool (MMT) which enables metadata providers to develop standards-compliant, high-quality metadata and have that metadata scored against quality standards as well as providing a means to manage access to that metadata. CMR is designed to: - Serve as a middleware replacement for the EOS Clearing House (ECHO) and Global Change Master Directory (GCMD)s backend. - Handle metadata at the Concept level including: Collections, Granules, Visualizations, Parameters, Documentation, Services, and more. manage hundreds of millions of metadata records; making them available through high performance, standards compliant, temporal, spatial, and faceted search. - Incorporate both human and machine metadata assessment features that work to ensure the highest quality metadata possible.
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