Suresh
K.
SanthanaVannan, Oak Ridge National Laboratory, santhanavans@ornl.gov
(Presenting)
Robert
B.
Cook, Oak Ridge National Laboratory, cookrb@ornl.gov
(Presenting)
Yaxing
Wei, Oak Ridge National Laboratory, weiy@ornl.gov
Tammy
W.
Beaty, Oak Ridge National Laboratory, beatytw@ornl.gov
Jerry
Pan, Oak Ridge National Laboratory, pany@ornl.gov
Steve
Ansari, National Climatic Data Center, NOAA, steve.ansari@noaa.gov
Bruce
E.
Wilson, Oak Ridge National Laboratory, wilsonbe@ornl.gov
ORNL DAAC (http://daac.ornl.gov) provides tools and services to help researchers readily find, visualize, and access data sets of interest. Three ORNL DAAC tools are described here:
1. MODIS Subsetting and Visualization Tool
2. Spatial Data Access Tool (SDAT)
3. Satellite Product Evaluation Center (SPEC)
ORNL DAAC MODIS tools provide subsets of selected MODIS Land Products in a scale and format useful for terrestrial ecology researchers. The subsets are offered in tabular ASCII format and in GIS compatible GeoTIFF format. Time series plots and grid visualizations of the subsets are also provided. Users can access pre-defined 7 x 7 km subsets for selected field sites such as FLUX tower locations, or obtain subsets up to 201 x 201 km for any land location around the globe. For users interested in obtaining MODIS subsets programmatically, ORNL DAAC has created a SOAP-based Web Service. SDAT provides visualization and access to a number of land cover, biophysical, elevation, ecosystem, climate, soil, and model output data sets using Open Geospatial Consortium services. Google Earth visualizations of the data sets are also provided through SDAT. SPEC is a tool developed in collaboration with National Climatic Data Center (NOAA). SPEC provides access to co-located data subsets from field observations, model output, and remote sensing records. SPEC is a web-based tool and is aimed to support quantitative calibration, validation, and algorithm and model improvement.
Presentation Type: Poster
Poster Session: Data Records and Systems
NASA TE Funded Awards Represented:
NONE: Related Activity or Previously Funded TE Award