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Providing access to multiple sensor subsets for field sites
Suresh Kumar
Santhana Vannan, ORNL, santhanavans@ornl.gov
(Presenter)
Robert
B.
Cook, Environmental Sciences Division, ORNL, cookrb@ornl.gov
Maria
Martinez
Gonzalez, ORNL, martinezgomi@ornl.gov
Shishi
Liu, ORAU, lius2@ornl.gov
Yaxing
Wei, ORNL, weiy@ornl.gov
Michelle
Thornton, ORNL, thorntonmm@ornl.gov
Petya
Krasteva Entcheva
Campbell, NASA GSFC/JCET/UMBC, petya.campbell@nasa.gov
Karl
Fred
Huemmrich, NASA GSFC/UMBC, karl.f.huemmrich@nasa.gov
To address science questions related to carbon cycle and ecosystems, researchers have to identify, download, understand and assemble remotely sensed and other spatial data from disparate sources. For scientists working at spatial scales of less than 100 x 100 km, assembling the data is particularly challenging because of the huge amounts of data that have to be downloaded relative to the small spatial scale of the analysis. Also, researchers have to understand file formats, data structure, and data access mechanisms across the various types of data. Valuable resources that could be spent productively on research are spent in assembling the data. To address this issue, ORNL DAAC is developing a system that will provide multiple sensor subsets (data bundles).
The ORNL DAAC is currently exploring the following data products to be subsetted and delivered as part of the data bundle.
• ALOS PALSAR SAR subsets
• Daymet (Weather and climate records)
• EO-1 Hyperion
• Landsat
• NPP-VIIRS (when available)
Subsets of PALSAR (Phased Array type L-band Synthetic Aperture Radar) sensor data from the Advanced Land Observing Satellite (ALOS) are currently provided for selected field sites in GeoTIFF format at the ORNL DAAC. SAR data are particularly useful in understanding human impacts on vegetation at a local scale, detecting deforestation and forest degradation and in estimating biomass. Daymet is a model that generates daily surfaces of temperature, precipitation, humidity, and radiation at 1km x 1km spatial resolution over large regions of complex terrain. No other weather/climate data at this temporal and spatial resolution exists. Daymet data will be useful in modeling and understanding vegetation dynamics. Hyperion data will be useful for its high spectral resolution. Landsat has been used in numerous ecosystem studies. ORNL DAAC will also be offering NPOESS Preparatory Project (NPP)- Visible/Infrared Imager Radiometer Suite (VIIRS) subsets as those data become available. ORNL DAAC will be using Open Geospatial Consortium (OGC) standards to visualize and distribute these data bundles. Users can also download the data directly from an FTP/Web server.
Presentation Type: Poster
Session: Other
(Wed 10:00 AM)
Associated Project(s):
Poster Location ID: 232
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