Record Search Query: [Science_Parameters: Science_Category='EARTH SCIENCE', Science_Topic='OCEANS', Science_Term='OCEAN ACOUSTICS']
iRODS integrated Rule Oriented Data System
Entry ID: DICE_IRODS
Abstract: iRODS, the Integrated Rule-Oriented Data System, is a data grid software system developed by the Data Intensive Cyber Environments research group (developers of the SRB, the Storage Resource Broker), and collaborators. The iRODS system is based on expertise gained through a decade of applying the SRB technology in support of Data Grids, Digital Libraries, Persistent Archives, and Real-time Data ... Systems. iRODS management policies (sets of assertions these communities make about their digital collections) are characterized in iRODS Rules and state information. At the iRODS core, a Rule Engine interprets the Rules to decide how the system is to respond to various requests and conditions. iRODS is open source under a BSD license.
[Summary provided by the University of North Carolina at Chapel Hill.]
ISO Topic Category
Prince, S. D. and S. J. Goward. 1995. Global primary production: a remote sensing approach, Journal of Biogeography 22 : 316-336.
Czajkowski, K. P., S. N. Goward, J. Cihlar and T. Mulhern. 1998. Biospheric
environmental monitoring at BOREAS with AVHRR observations, Journal of
... Geophysical Research 102 (D24): 29651-29662.
Czajkowski, K.P., S. N. Goward, T. Mulhern, S. J. Goetz, S. D. Prince, R. O.
Dubayah, A. Walz, D. Shirey and Thawley, M., Recovery of environmental
variables from thermal remote sensing (in) Thermal remote sensing in land
surface processes (eds J. Luvall and D. Quattrochi), Ann Arbor Press (in
Goward, S. N. and D. G. Dye. 1987. Evaluating North American net primary
productivity with satellite observations, Advances in Space Research 7 (11):
Goward, S. N. and Dye, D. 1997. Global biospheric monitoring with remote
sensing. In: The use of remote sensing in modeling forest productivity (eds H.
L. Gholtz, K. Nakane and H. Shimoda), pp. Kluwer Academic, New York.
Goward, S. N. and K. F. Huemmrich. 1992. Vegetation canopy PAR absorbance and
the normalized difference vegetation index: an assessment using the SAIL model,
Remote Sensing of Environment 39 : 119-140.
Goward, S. N. and S. D. Prince. 1995. Transient effects of climate on
vegetation dynamics: satellite observations, Journal of Biogeography 22 :
Goward, S. N., R. H. Waring, D. G. Dye and J. Yang. 1994. Ecological remote
sensing at OTTER: Macroscale satellite observations, Ecological Applications 4
Prince, S. D. 1991. A model of regional primary production for use with
coarse-resolution satellite data, International Journal of Remote Sensing 12
Prince, S. D. 1991. Satellite remote sensing of primary production: comparison
of results for Sahelian grasslands 1981-1988 International Journal of Remote
Sensing 12 : 1301-1330.
Prince, S. D., S. J. Goetz and S. N. Goward. 1995. Monitoring primary
production from Earth observing satellites," Water, Air, and Soil Pollution 82
Prince, S. D., S. J. Goetz, R. O. Dubayah, K. P. Czajkowski and M. Thawley.
1997. Inference of surface and air temperature, atmospheric precipitable water
and vapor pressure deficit using AVHRR satellite observations: comparison with
field observations Journal of Hydrology (vol.188/189, in press).
Goetz, S. J., S. D. Prince, S. N. Goward, M. Thawley, and J. Small. 1999.
Satellite remote sensing of primary production: an improved production
efficiency modeling approach. Ecological Modeling 122 (3):239-255.
Goetz, S. J., S. D. Prince, M. M. Thawley, J. Small, and A. Johnston. 1999.
Mapping net primary production and related biophysical variables with remote
sensing: application to the BOREAS region. Journal of Geophysical Research 104
Goetz, S. J., S. D. Prince, J. Small, and A. Gleason. 2000. Interannual
variability of global terrestrial primary production: results of a model driven
with global satellite observations. Journal of Geophysical Research 105
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