Summary of HDF-EOS5 Files, Data Model and File Format
1. Summary of HDF-EOS5 Files,
Data Model and File Format
Abe Taaheri, Raytheon IIS
HDF & HDF-EOS Workshop XI
November 2007
2. General HDF-EOS5 File Structure
• HDF-EOS5 file is any valid HDF5 file that contains:
– a family of global attributes called: coremetadata.X
Optional data objects:
family of global attributes called: archivemetadata.X
any number of Swath, Grid, Point, ZA, and Profile data
structures.
another family of global attributes: StructMetadata.X
• The global attributes provide information on the structure of
HDF-EOS5 file or information on the data granule that file
contains.
• Other optional user-added global attributes such as
“PGEVersion”, “OrbitNumber”, etc. are written as HDF5
attributes into a group called “FILE ATTRIBUTES”
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3. General HDF-EOS5 File Structure
• coremetadata.X
Used to populate searchable database tables
within the ECS archives. Data users use this
information to locate particular HDF-EOS5
data granules.
• archivemetadata.X
Represents information that, by definition, will
not be searchable. Contains whatever
information the file creator considers useful
to be in the file, but which will not be directly
accessible by ECS databases.
S
• StructMetadata.X
Describes contents and structure of HDF-EOS
file. e.g. dimensions, compression methods,
geolocation, projection information, etc. that
are associated with the data itself.
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4. General HDF-EOS5 File Structure
• An HDF-EOS5 file
– can contain any number of Grid, Point, Swath,
Zonal Average, and Profile data structures
– has no size limits.
A file containing 1000's of objects could cause
program execution slow-downs
– can be hybrid, containing plain HDF5 objects for
special purposes.
HDF5 objects must be accessed by the HDF5
library and not by HDF-EOS5 extensions.
will require more knowledge of file contents on
the part of an applications developer or data user.
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5. Swath Structure
• Data which is organized by time, or
other track parameter.
• Spacing can be irregular.
• Structure
– Geolocation information stored
explicitly in Geolocation
Field (2-D array)
– Data stored in 2-D or 3-D arrays
– Time stored in 1-D or 2-D array,
– Geolocation/science data
connected by structural metadata
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6. Swath Structure
P
In
st
ru
m
en
t
Instrument
Profiles
instrument takes a series of scans
perpendicular to the ground track
of the satellite as it moves along
that ground track
at
h
• For a typical satellite swath, an
Along Track
• Or a sensor measures
a vertical profile, instead
of scanning across the
ground track
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7. Swath Structure
“SWATHS”
group
• Swath_X groups are created when
swaths are created
•Data/Geo fields’ parent group are
created when fields are defined.
• Swath attributes are set as Object
Attributes.
• Attributes for Data, Profile, or
Gelocation Fields groups are set as
Group Attributes
• Dataset related attributes set for
each data field or geolocation field
are called Local Attributes. They
may contain attributes such as
fillvalue, units, etc.
Object Attribute
<SwathName>:
<AttrName>
“Swath_1”
Group Attribute
<DataFields>:
<AttrName>
Data
Fields
Local Attribute
<FieldName>:
<AttrName>
Data
Field.1
Data
Field.n
“Swath_N”
Profile
Fields
Profile
Field.1
Profile
Field.n
Geolocation
Fields
Longitude
Time
Latitude
Colatitude
HDF5 Group
HDF5
Attribute
HDF5
Dataset
Each Data Field
object can have
Attributes and/or
Dimension Scales
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8. Swath Structure
• Geolocation Fields
− Geolocation fields allow the Swath to be accurately tied to particular
points on the Earth’s surface.
− At least a time field (“Time”) or a latitude/longitude field pair
(“Latitude” and “Longitude”). “Colatitude” may be substituted for “Latitude.”
− Fields must be either one- or two-dimensional
− The “Time” field is always in TAI format (International Atomic Time)
Field Name
Data Type
Format
Longitude
float32 or float64
DD*, range [-180.0, 180.0]
Latitude
float32 or float64
DD*, range [-90.0, 90.0]
Colatitude
float32 or float64
DD*, range [0.0, 180.0]
Time
float64
TAI93 [seconds until(-) /
since(+) midnight, 1/1/93]
* DD = Decimal Degree
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9. Swath Structure
• Data Fields
− Fields may have up to 8 dimensions.
− For all multi-dimensional fields in scan- or profile-oriented Swaths, the
dimension representing the “along track” dimension must precede the
dimension representing the scan or profile dimension(s) (in C-order).
( e.g. “Bands, DataTrack, DataXtrack” )
− Compression is selectable at the field level within a Swath. All HDF5supported compression methods are available through the HDF-EOS5
library. The compression method is stored within the file. Subsequent
use of the library will un-compress the file. As in HDF5 the data needs
to be chunked before the compression is applied.
− Field names:
* may be up to 64 characters in length.
* Any character can be used with the exception of, ",", ";", " and "/".
* are case sensitive.
* must be unique within a particular Swath structure.
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10. Compression Codes
Compression Code
HDFE_COMP_NONE
Value
Explanation
0
No Compression
1
Run Length Encoding Compression (not
supported)
HDFE_COMP_NBIT
2
NBIT Compression
HDFE_COMP_SKPHUFF
3
Skipping Huffman (not supported)
HDFE_COMP_DEFLATE
4
gzip Compression
5
szip Compression, Compression exactly
as in hardware
6
szip Compression, allowing k split = 13
Compression
7
szip Compression, entropy coding method
8
szip Compression, nearest neighbor
coding method
9
szip Compression, allowing k split = 13
Compression, or entropy coding
method
HDFE_COMP_RLE
HDFE_COMP_SZIP_CHIP
HDFE_COMP_SZIP_K13
HDFE_COMP_SZIP_EC
HDFE_COMP_SZIP_NN
HDFE_COMP_SZIP_K13orEC
For Compression the data storage must be CHUNKED first
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11. Compression Codes
Compression Code
Value
HDFE_COMP_SZIP_K13orNN
Explanation
10
11
shuffling + deflate(gzip) Compression
12
shuffling + Compression exactly as in
hardware
13
shuffling + allowing k split = 13
Compression
14
shuffling + entropy coding method
15
shuffling + nearest neighbor coding
method
16
shuffling + allowing k split = 13
Compression, or entropy coding
method
17
HDFE_COMP_SHUF_DEFLATE
szip Compression, allowing k split =
13 Compression, or nearest
neighbor coding method
shuffling + allowing k split = 13
Compression, or nearest neighbor
coding method
HDFE_COMP_SHUF_SZIP_CHIP
HDFE_COMP_SHUF_SZIP_K13
HDFE_COMP_SHUF_SZIP_EC
HDFE_COMP_SHUF_SZIP_NN
HDFE_COMP_SHUF_SZIP_K13orEC
HDFE_COMP_SHUF_SZIP_K13orNN
For Compression the data storage must be CHUNKED first
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12. Swath Structure
• Dimension maps are
the glue that holds the
SWATH together. They
define the relationship
between data fields and
geolocation fields by
defining, one-by-one, the
relationship of each
dimension of each
geolocation field with the
corresponding dimension
in each data field.
Geolocation Dimension
0 1 2 3 4 5 6 7 8 9
Mapping
Offset: 1
Increment: 2
11 13 15
0 1 2 3 4 5 6 7 8 9 10 12 14 1617
1819
Data Dimension
A “Normal” Dimension Map
Geolocation Dimension
0 1 2 3 4 5 6 7 8 910
1112
1314
151617
1819
0 1 2 3 4 5 6 7 8 9
Data Dimension
Mapping
Offset: -1
Increment: -2
A “Backwards” Dimension Map
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13. Grid Structure
• Usage - Data which is organized
by regular geographic spacing,
specified by projection parameters.
• Structure
– Any number of 2-D to 8-D data arrays per structure
– Geolocation information contained in projection formula,
coupled by structural metadata.
– Any number of Grid structures per file allowed.
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14. Grid Structure
• A grid contains grid corner
locations and a set of
projection equations (or
references to them) along with
their relevant parameters.
• The equations and
parameters can be used to
compute the latitude and
longitude for any point in the
grid.
A Data Field in a Mercator-Projected Grid
• Important features of a Grid
data set: the data fields, the
dimensions, and the projection
A Data Field in an Interrupted Goode’s
Homolosine-Projected Grid
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15. Grid Structure
Data Field characteristics:
−Fields may have up to 8 dims
− Dim order in field definitions:
- C: “Band, YDim, XDim”
- Fortran: “XDim, YDim, Band”
− Compression is selectable at the
field level within a Grid.
Subsequent use of the library will
un-compress the file. Data needs
to be tiled before the compression
is applied.
− Field names must be unique within a particular Grid structure and are
case sensitive. They may be up to 64 characters in length.
− Any character can be used with the exception of, ",", ";", " and "/".
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16. Grid Structure
Dimensions:
• Two predefined dimensions
for Data Fields: “XDim” and
“YDim”.
- defined when the grid is
created
- stored in the structure
metadata.
- relate data fields to each
other and to the geolocation
information
• Fields are Two - eight dimensional
many fields will need not more than three:
the predefined dimensions “XDim” and “YDim”
and a third dimension for depth, height, or band.
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17. Grid Structure
• Projection:
− Is the heart of the Grid structure.
− Provides a convenient way to encode geolocation information as
a set of mathematical equations, capable of transforming Earth
coordinates (lat/long) to X-Y coordinates on a sheet of paper
− General Coordinate Transformation Package (GCTP) library
contains all projection related conversions and calculations.
− Supported projections:
Geographic
Mercator
Transverse Mercator
Cylindrical Equal area
Hotin Oblique Mercator
Sinusoidal*
Integerized Sinusoidal
Polar Stereographic
Albers Conical Equal Area
Interrupted Goode’s
Homolosine
Lambert Azimuthal Equal
Area
Polyconic
Universal Transverse
Mercator
Space Oblique Mercator
Lambert Conformal Conic
* Sinusoidal is pseudocylinderical
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18. HDF-EOS Point Structure
• Data is specified temporally and/or spatially, but with no
particular organization
• Structure
– Tables used to store science
data at a particular
Lat/Long/Height
– Up to eight levels of
data allowed. Structural
metadata specifies
relationship between levels.
Station
Chicago
Los Angeles
Washington
Miami
Lat
41.49
34.03
38.50
25.45
Lon
-87.37
-118.14
-77.00
-80.11
Time Temp(C)
0800
-3
0900
-2
1000
-1
0800
20
0900
21
1000
22
1100
24
1000
6
1100
8
1200
9
1300
11
1400
12
0600
15
0700
16
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19. Point Structure
• Made up of a series of data records taken at [possibly] irregular time
intervals and at scattered geographic locations
• Loosely organized form of geolocated data supported by HDF-EOS
• Level are linked by a common field name called LinkField
• Usually shared info is
stored in Parent level,
while data values
stored in Child level
• The values for the
LinkFiled in the Parent
level must be unique
Lat
61.12
45.31
38.50
38.39
30.00
37.45
18.00
43.40
34.03
32.45
33.30
42.15
35.05
34.12
46.32
47.36
39.44
21.25
44.58
41.49
25.45
Lon
-149.48
-122.41
-77.00
-90.15
-90.05
-122.26
-76.45
-79.23
-118.14
-96.48
-112.00
-71.07
-106.40
-77.56
-87.25
-122.20
-104.59
-78.00
-93.15
-87.37
-80.11
Temp(C)
15.00
17.00
24.00
27.00
22.00
25.00
27.00
30.00
25.00
32.00
30.00
28.00
30.00
28.00
30.00
32.00
31.00
28.00
32.00
28.00
19.00
Dewpt(C)
5.00
5.00
7.00
11.00
7.00
10.00
4.00
14.00
4.00
8.00
10.00
7.00
9.00
9.00
8.00
15.00
16.00
7.00
13.00
9.00
3.00
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20. Point Structure
•
Point structure groups are
created when user creates
“Point_1”, …..
• Data and Linkage groups are
created automatically when the
level is defined
“POINTS”
Group
Object Attribute
<SwathName>:
<AttrName>
“Point_1”
are defined determines the (0based) level index
Group Attribute
<SwathName>:
<AttrName>
Data
• FWDPOINTER Linkage will
Local Attribute
<SwathName>:
<AttrName>
• The order in which the levels
not be set (acutally first one is
set to (-1,-1)) if the records in
Child level is not monotonic in
LinkFiekd
• A level can contain any
number of fields and records
Level 1
“Point_n”
Linkag
Level n
FWD
BCK
POINTER POINTER
HDF5 Group
Level Data
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21. Zonal Average (ZA) Structure
• Generalized array structure
with no geolocation linkage
(basically a swath like
structure without geolocation.)
• The interface is designed to
support data that has not
associated with specific
geolocation information.
• Data can be organized by time
or track parameter
• Data spacing can be irregular
• Structure
“ZAS”
group
Object Attribute
<SwathName>:
<AttrName>
Group Attribute
<DataFields>:
<AttrName>
Local Attribute
<FieldName>:
<AttrName>
“Za_1”
“Za_n”
Data
Fields
Data
Field.n
HDF5 Group
– Data stored in
multidimensional arrays
– Time stored in 1-D or 2-D
array
Page 21
22. “h5dump” output of a simple
HDF-EOS5 file
HDF5 "Grid.he5" {
GROUP "/" {
GROUP "HDFEOS" {
GROUP "ADDITIONAL" {
GROUP "FILE_ATTRIBUTES" {
}
}
GROUP "GRIDS" {
GROUP "TMGrid" {
GROUP "Data Fields" {
DATASET "Voltage" {
DATATYPE H5T_IEEE_F32BE
DATASPACE SIMPLE { ( 5, 7 ) / ( 5, 7 ) }
DATA {
(0,0): -1.11111,-1.11111,-1.11111,-1.11111,-1.11111,
(0,5): -1.11111,-1.11111,
………………………………..
(4,0): -1.11111,-1.11111,-1.11111,-1.11111,-1.11111,
(4,5): -1.11111,-1.11111
}
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