Abstract:
The HDFView is a Java-based tool for browsing and editing HDF4 and HDF5 files. HDFView allows users to browse through any HDF4 and HDF5 file, starting with a tree view of all top-level objects in an HDF file's hierarchy. HDFView allows a user to descend through the hierarchy and navigate among the file's data objects. The content of a data object is loaded only when the object is selected, ... providing interactive and efficient access to HDF4 and HDF5 files. HDFView editing features allow a user to create, delete, and modify the value of HDF objects and attributes.
The HDFView graphical user interface (GUI) is simple and easy-to-use. First, HDFView was implemented by using the Java 2 Platform, which is machine-independent. The GUI components have the same look-and-feel for all machines. Second, HDFView uses conventional folders and icons to display groups and datasets in a tree structure. Users can easily expand or collapse folders to navigate the hierarchical structure of an HDF file. Third, HDFView shows data content as text (table or plain text) or as image.
Access Constraints
The HDFView is distributed in two forms: No_VM_bundled and VM_bundled. The No_VM_bundled distribution does not contain the Java Runtime Environment (JRE) while the VM_bundled distribution bundles the JRE.
To run HDFView with No_VM_bundled distribution, JDK 1.5+ is required. The HDFView does not compile on JDK 1.4.x or earlier version.
... Download JavaTM 2 Platform at:
JavaTM 2 Platform, Standard Edition (Windows, Solaris, Linux)
HDFView uses the HDF4 and HDF5 Java Native Interfaces, which calls the HDF4 and HDF5 library, respectively. These native interfaces are included in the distribution. For more information (source and pre-built) on the HDF4/5 Java Native Interface, see "Java Native Interface for HDF" at http://www.hdfgroup.org/hdf-java-html/JNI/.
Name:
NCSA-HDF
Email:
hdfhelp at ncsa.uiuc.edu
Contact Address:
National Computational Science Alliance
University of Illinois at Urbana-Champaign
605 E. Springfield City:
Champaign
Province or State:
IL
Postal Code:
61820
Country:
USA
Distribution Media
Distribution_Media:
Online
Fees:
No fees
Personnel
NCSA-HDF Role:
TECHNICAL CONTACT
Email:
hdfhelp at ncsa.uiuc.edu
Contact Address:
National Computational Science Alliance
University of Illinois at Urbana-Champaign
605 E. Springfield City:
Champaign
Province or State:
IL
Postal Code:
61820
Country:
USA
TYLER
B.
STEVENS Role:
SERF AUTHOR
Phone:
(301) 614-6898
Fax:
301-614-5268
Email:
Tyler.B.Stevens at nasa.gov
Contact Address:
NASA Goddard Space Flight Center
Global Change Master Directory City:
Greenbelt
Province or State:
MD
Postal Code:
20771
Country:
USA
Publications/References
Ackerman, S. A., W. L. Smith and H. E. Revercomb, 1990: The 27-28 October 1986 FIRE IFO cirrus case study: spectral properties of cirrus clouds in the 8-12 micron window. Mon. Wea. Rev., 118, 2377-2388.
Ackerman, S. K. Strabala, P.Menzel, R. Frey, C. Moeller, and ... L. Gumley, 1998: Discriminating clear sky from clouds with MODIS. J. Geophys. Res., 103, 32141-32157
Chu, A., K. Strabala, S. Platnick, E. Moody,M. King, S. Mattoo, R. Hucek, and B. Ridgway, 2000: MODIS Atmosphere QA Plan. Version 2.2 ,NASA Goddard Space Flight Center, 46 pp.
Gao, B.-C., Y. J. Kaufman, W. Han, and W. J. Wiscombe, 1998: Correction of thin cirrus path radiance in the 0.4 - 1.0 ?m spectral region using the sensitive 1.375-m cirrus detecting channel, J.Geophys. Res., 103, 32169-32176.
Gao, B.-C., W. Han, S.-C. Tsay, and N. F. Larsen, 1998: Cloud detection over arctic region using airborne imaging spectrometer data during the daytime,J. Appl. Meteorol., 37, 1421-1429.
Gao, B.-C., and Y. J. Kaufman, 1995: Selection of the 1.375-?m MODIS channel for remote sensing of cirrus clouds and stratospheric aerosols from space, J. Atm. Sci., 52, 4231-4237.
Gao, B. -C, A. F. H. Goetz, and W. J. Wiscombe, 1993: Cirrus detection from Airborne Imaging Radiometer using 1.38 micron water vapor band. Geophys. Res. Letter, 4,301-304.
King, M., Y. Kaufman, W. P. Menzel, D. Tanre, B. Gao, 1999: MODIS Atmosphere Validation Plan, NASA Goddard Space Flight Center, 48 pp.
King, M. D., S. C. Tsay, S. E. Platnick, M. Wang, and K. Liou, 1997: Cloud Retrieval Algorithms for MODIS: Optical Thickness, Effective Particle Radius, and Thermodynamic Phase ,Algorithm Theoretical Basis Document, ATBD-MOD-05, NASA Goddard Space Flight Center,
King, M. D., W. P. Menzel, P. S. Grant, J. S. Myers, G. T. Arnold, S. E. Platnick, L. E.Gumley, S. C. Tsay, C. C. Moeller, M. Fitzgerald, K. S. Brown and F. G.Osterwisch, 1996: Airborne scanning spectrometer for remote sensing of cloud, aerosol, water vapor and surface properties. J. Atmos. Oceanic Technol.,13, 777–794.
King, M. D., Y. J. Kaufman, W. P. Menzel and D. Tanr?, 1992: Remote sensing of cloud, aerosol and water vapor properties from the Moderate Resolution Imaging Spectrometer (MODIS). IEEE Trans. Geosci. Remote Sens., 30, 2–27.
King, M. D., 1987: Determination of the scaled optical thickness of clouds from re-flected solar radiation measurements. J. Atmos. Sci., 44, 1734–1751.
King, M. D., M. G. Strange, P. Leone and L. R. Blaine, 1986: Multiwavelength scanningradiometer for airborne measurements of scattered radiation within clouds. J. Atmos. Oceanic Technol., 3, 513–522.
King, M. D., 1981: A method for determining the single scattering albedo of clouds through observation of the internal scattered radiation field. J. Atmos.Sci., 38, 2031–204.
Menzel, P., and M. King, 1997:MODIS Cloud Product, in MTPE EOS Data Products Handbook,109-111.
Menzel, P., and K. Strabela. 1997: Cloud Top Properties and Cloud Phase,Algorithm Theoretical Basis Document.ATBD-MOD-04, NASA Goddard Space Flight Center,56 pp.
Menzel, W. P. and K. I. Strabala, 1989: Preliminary report on the demonstration of the VAS CO2 cloud parameters (cover, height, and amount) in support of the Automated Surface Observing System (ASOS). NOAA Tech Memo NESDIS 29.
Nakajima, T., M. D. King , J. D. Spinhirne and L. F. Radke, 1991: Determination of the optical thickness and effective particle radius of clouds from reflected solar radiation measurements. Part II: Marine stratocumulus observations. J. Atmos. Sci., 48, 728–750.
Nakajima, T., and M. D. King, 1990: Determination of the optical thickness and effective particle radius of clouds from reflected solar radiation measurements. Part I: Theory. J. Atmos. Sci., 47, 1878–1893.
Rossow, W. B., and L.C. Gardner, 1993: Cloud detection using satellite measurements of infrared and visible radiances for ISCCP, J. Climate, 6, 2341-2369.
Strabala, K. I., S. A. Ackerman and W. P. Menzel, 1994: Cloud properties inferred from 8-12 micron data. J. Appl. Meteor, 33, No. 2, 212-229.
Extended Metadata Properties
Extraction Date:2013-05-26 02:00:11 The date when the metadata was last extracted from the GCMD system
