ensuring long term access to remotely sensed hdf4 data with layout maps
DESCRIPTION
Ensuring Long Term Access to Remotely Sensed HDF4 Data with Layout Maps. Ruth Duerr, NSIDC Christopher Lynnes, GES DISC The HDF Group. Background and basic concept. I’m Plastic Man!. HDF4 is. EXTENSIBLE. FLEXIBLE. SELF-DESCRIBING. But There’s a cost…. Complexity!. complexity. - PowerPoint PPT PresentationTRANSCRIPT
HDF and HDF-EOS Workshop XII 1
Ensuring Long Term Access to Remotely Sensed HDF4 Data
with Layout MapsRuth Duerr, NSIDC
Christopher Lynnes, GES DISC
The HDF Group
Oct. 16 2008
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Background and basic concept
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HDF4 is
FLEXIBLE
EXTENSIBLE
SELF-DESCRIBING
I’m Plastic Man!
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ButThere’s a cost…
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Complexity!
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complexity
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How do we save HDF users from having to deal with all of
the complexity under the hood?
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Through the HDF software libraries, either by using the
HDF APIs directly or by using HDF tools that depend on the
HDF libraries.
But what about the future…
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• There is a risk in depending solely on the HDF libraries to access HDF-formatted data over the long term.
• It is possible, especially in the distant future, that the libraries may not be available.
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Really smart people and software?
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Maybe future data users and their computers will be so smart that the HDF4 format will be a piece of cake.
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Maybe not.
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We need an “easy” button
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“If only we could read HDF data with an independent program that does not rely on
the HDF API… A possible approach [would be to] extend
hdfls to print a hierarchical map of a data file, [and] write ncdump/hdp-like utilities to find,
assemble and write out SDSes and vdatas.”
“Leveraging HDF Utilities”Christopher LynnesHDF Workshop X.
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HDF4 file layout
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HDF4 file layout
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The project
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HDF4 mapping
• Problem- The complex internal byte layout of HDF files
requires one to use the API to access HDF data. - This makes long-term readability of HDF data
dependent on long-term allocation of resources to support HDF software.
• Proposed solution- Create a map of the layout of data objects in an
HDF file, allowing a simple reader to be written to access the data.
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HDF4 mapping project activities
1. Assess and categorize HDF4 data held by NASA - To determine what types of objects to map.- To get an idea of the magnitude of the project.
2. Develop prototype for proof of concept- Develop markup-language based layout
specification.- Develop tool to produce layout for an HDF4 file.- Develop and test two independent tools to read
HDF4 data based solely on the map files.
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Project activities (continued)
3. Assess results and plan next steps- Present results and options for proceeding to the
community. - Assess the likely usefulness of this approach, as
well as any desirable modifications- Evaluate the effort required for a full solution that
best meets community needs- Submit a proposal for the work needed to provide
a full solution
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1. Assess and categorize
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How many HDF4 products?
Data Center HDF4 Products
ASF 0
GES-DISC 236
GHRC 54
ASDC 63
LP-DAAC 67
NSIDC 47
ORNL-DAAC 2
PO.DAAC 22
SDAC 0
MrDC 95
Total 586
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Data characteristics
• Product Identification- Product Name- Data Level- Archive Location- Product Version
• Whether the product was multi-file• For HDF-EOS products
- HDF-EOS version- For point data
• Number of point data sets• Maximum number of levels
- For swath data• Number of swaths• Maximum number of dimensions• Organized by time, space, both, or other• Whether dimension maps were used
- For gridded data• Number of grids• Max number of dimensions in a grid• Number of projections used• Whether any grids were indexed
• HDF Version
• For raster data- Number of 8-bit rasters- Number of 24-bit rasters- Number of general rasters- Whether any rasters had attributes- Whether any rasters were compressed- Whether any rasters were chunked- Whether there were any palettes
• For SDS data- Number of SDSs- Maximum number of dimensions- Did any SDS have attributes- Was any SDS annotated- Were dimension scales used- Was compression used and if so what
kind- Was chunking used
• For Vdata- Number of Vdata structures- Did any Vdata have attributes- Did any Vdata fields have attributes- Was compression used and if so what
kind- Was chunking used
Product Characteristics Examined
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Other results
• Slightly more than half of the HDF4 products are in HDF-EOS 2 format
• Grids are the most common HDF-EOS data structures in use• No products use a combination of grid, swath, and point data
structures
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2. Prototype and proof of concept
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HDF4 mapping prototype workflow
October 15-18, 2008
HDF4 File “H4.hdf”
HDF4 Mapping File (XML document)“H4.hdf.map.xml”
hmaplinked with HDF4 library
Reader 1(C program)
Object Data
Object Data Groups, Data Objects, Structural and Application
Metadata; Locations of Object Data
Reader 2(Perl Script)
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Proof-of-concept results
• The HDF Group created prototype map generation software and a draft map specification
• Map generator was tested on a wide variety of data products
• GES-DISC and NSIDC independently wrote software that uses maps to read data files in NSIDC’s and GES-DISC’s archives
• Summary - the concept is feasible!
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Example map fragment
<?xml version="1.0" encoding="utf-8"?><hdf4:HDFMap xmlns:hdf4="http://www.hdfgroup.org/HDF4/HDF4Map"> <hdf4:RootGroup> <hdf4:SDS objName="data1" objPath="/" objID="xid-DFTAG_NDG-2"> <hdf4:Attribute name="data range" ntDesc="32-bit signed integer"> 0 255 </hdf4:Attribute> <hdf4:Datatype dtypeClass="INT" dtypeSize="4" byteOrder="BE" /> <hdf4:Dataspace ndims="2"> 10 100 </hdf4:Dataspace> <hdf4:Datablock nblocks="1"> <hdf4:BlockOffset> 2502 </hdf4:BlockOffset> <hdf4:BlockNbytes> 4000 </hdf4:BlockNbytes> </hdf4:Datablock> </hdf4:SDS> </hdf4:RootGroup></hdf4:HDFMap>
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Next steps
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Effort for full implementation
• Generate maps for existing archives- GES-DISC approach: append the map XML to the XML
files already kept for each file in their archive- NSIDC non-ECS data implementation: add an XML file
for each data file in same directory- Other systems TBD
• Generate maps for new data- Add map generation as a step in the ingest process using
stand alone tool- Request product generation systems to use new API
calls that generate maps• Develop production quality implementation of mapping
tool, and possibly an API.• Possibly do similar assessment for HDF5 maps.
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How you can help
• Consider what it might take to implement this for your archive - contact Ruth if you’d like support
• Review the materials on the wiki and elsewhere - comment heavily!
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For more information
• Wiki page added to Confluence wiki• Project page at The HDF Group website:
- http://www.hdfgroup.org/projects/hdf4mapping/• Paper at 2008 fall AGU• Paper “Ensuring Long Term Access to Remotely
Sensed Data with Layout Maps” in the upcoming TGRSS special issue on archiving and distribution
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Thank you.
This report is based upon work supported in part by a Cooperative Agreement with the National Aeronautics and Space Administration (NASA) under NASA Award
NNX06AC83A. Any opinions, findings, and conclusions or
recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Aeronautics and Space Administration.
Oct. 16 2008