This dictionary contains high level classes and attributes used in imaging and
spectrometer products. It also contains classes with attributes used during active mission
operations. Many of these classes are designed to be extended into local mission dictionaries.
## CHANGE LOG ##
1.4.0.0
- upgraded to v1900 of the IM
- removed specific Autoexposure algorithm classes and introduced generic Algorithm_Parameter class
- new/improved definitions for Companding_Parameters, Downsampling_Parameters, Exposure_Parameters
- removed the following attributes: Data_Correction.data_correction_subtype
- removed the following classes because they were sufficiently multi-mission:
- Derived_Product_Parameters
- Frame_Parameters
- Product_Identification
- Stereo_Product_Parameters
- Vector_Range_Origin
- added exposure_type enumeration
- new flat_field_algorithm attribute
- changed compression_type to compression_class and compression_mode_name to compression_type
- added new enumerations for compression_class and compression_type
- added new Instrument_Device_Currents class
The Algorithm_Parameter class provides a name
and value(s) use for input into the autoexposure
algorithm.
The Autoexposure_Parameters class contains
attributes used to identify or describe the histogram
thresholding algorithm and applicable attributes required for
those algorithms. The input parameters for the algorithm can be
specified using the Algorithm_Parameter class or via a
Local_Internal_Reference to a mission-specific parameter
definition.
The Bayer_Parameters class describes whether or
not an image is bayer encoded, and how the Bayer pattern was
removed.
The Command_Parameters class contains attributes
used to identify or describe the commands sent to a spacecraft
to perform one or more actions resulting in the acquisition of
the current data product.
The Companding_Parameters class describes
whether or not data is or has had its bit depth reduced (for
example conversion from 12 to 8 bits via a lookup table or bit
scaling), the venue where it occurred (Software or Hardware),
and the method used to complete the
companding.
The Correction_Parameter class specifies
identifier(s) and value for a data correction parameter
applicable to the parent class.
The Data_Correction class specifies describes
details regarding the calibration and/or processing performed on
the data product. This class can be used to describe various
data corrections, such as antiblooming, bad pixel replacement,
blemish protection, dark current correction, or shutter
correction. This can be specified multiple times in order to
detail numerous corrections, and should be used to designate
PDS3-like flag attributes, such as dark_current_correction_flag
and flat_field_correction_flag.
The Data_Correction_File class specifies a file
containing explicit details regarding the calibration and/or
processing performed on the data product. The enclosing class
and surrounding attribute provide the necessary context to
interpret this file. As a subclass of the
Data_Correction_Parameters class, this specifies calibration
applied to the science data as opposed to calibration the
instrument before launch. As a subclass of the
Derived_Product_Parameters class, this specifies a file
describing the post processing of the product after radiometric
and photometric calibrations.
The Data_Correction_Parameters class describes
data processing steps applied to data, either on-board a
spacecraft or after receipt of the data on the ground, to remove
artifacts introduced into the data by the instrument. As a child
of the Command_Parameters class, these attribute values are
those that were commanded to the spacecraft.
The Downsampling_Parameters class describes
whether or not downsampling occurred, the venue where it
occurrected (Software or Hardware), the method used to
downsample, and the pixel averaging dimensions. A downsampled
image is a smaller version of the image, resulting in reduced
resolution of the same coverage area
The Exposure_Parameters class contains
attributes identifying the image instrument exposure
configuration and image exposure values. As a child of the
Image_Product_Information class, these attribute values identify
the actual exposure values when the image was taken. As a child
of the Command_Parameters class, these attribute values are
those that were commanded to the spacecraft at the time the
image was taken.
The Filter class describes the filter associated
with a particular observation. The filter may be identified by
name, identifier, number or some combination of
these.
The Flat_Field_Correction_Parameters class
specifies the onboard flat-field coefficients/parameters used in
the algorithm to remove the flat field
signature.
The Frame_Parameters class contains attributes
providing information specific to an image frame. A frame
consists of a sequence of measurements made over a specified
time interval, and may include measurements from different
instrument modes.
The ICER_Parameters class contains attributes
describing onboard compression parameters specific to Joint
Photographic Experts Group (JPEG) image compression. ICER is a
wavelet-based image compression file format used by the NASA
Mars Rovers. ICER has both lossy and lossless compression
modes.
The Image_Compression_Parameters class contains
attributes describing onboard compression parameters used for
data storage and transmission.
The Image_Compression_Segment class provides
attributes describing each segment into which data was
partitioned for error containment purposes as part of the
compression process.
The Image_Product_Information class contains
classes and attributes that describe the image product itself,
including information about the exposure duration, filters, data
correction, sampling, frame, sub-frames, and how the product was
derived.
The Imaging class contains classes and
attributes describing both the image product itself and the
imaging instrument. Image product information can include
exposure duration, filters, data correction, sampling, frame,
sub-frames, and how the product was derived. For the imaging
instrument, information can be provided describing the dynamic
physical or operating characteristics of the imaging
instrument.
The Imaging_Instrument_State_Parameters class
contains attributes providing the values of any dynamic physical
or operating characteristics of the imaging
instrument.
The Instrument_Device_Current class provides a
container for the set of current of some point on an instrument
or other device.
The Instrument_Device_Current_Index class
provides the current of some point on an instrument or other
device.
The Instrument_Device_Temperature class provides
a container for the set of temperatures of some point on an
instrument or other device.
The Instrument_Device_Temperature_Index class
provides the temperature of some point on an instrument or other
device.
The Instrument_Device_Voltage class provides a
container for the set of voltages of some point on an instrument
or other device.
The Instrument_Device_Voltage_Index class
provides the voltage of some point on an instrument or other
device.
The JPEG_Parameters class contains attributes
describing onboard compression parameters specific to Joint
Photographic Experts Group (JPEG) image
compression.
The JPEG_Progressive_Parameters class contains
attributes describing an interlaced progressive JPEG format, in
which data is compressed in multiple passes of progressively
higher detail. This is ideal for large images that will be
displayed while downloading over a slow connection, allowing a
reasonable preview after receiving only a portion of the
data.
The LOCO_Parameters class contains attributes
describing onboard compression parameters specific to Low
Complexity Lossless Compression (LOCO) image compression, a
lossless submode of ICER
Used when the list values have no units.
The Packet_Parameters class contains parameters
describing the packetized telemetry data.
The Pixel_Averaging class provides the height
and width, in pixels, of the area over which pixels were
averaged prior to image compression.
The Radiometric_Correction_Parameters class is
a container for the type and details of the radiometric
calibration performed on the product.
The Sampling_Parameters class contains
attributes and classes related to the sampling, scaling,
companding, and compression or reduction in resolution of
data.
The Shutter_Subtraction_Parameters class
specifies attributes describing the removal from the image of
the shutter, or fixed-pattern.
The Subframe_Parameters class describes the
position and other optional characteristics of an image
subframe, relative to the original image.
This section contains the simpleTypes that provide more constraints
than those at the base data type level. The simpleTypes defined here build on the base data
types. This is another component of the common dictionary and therefore falls within the
pds namespace.
The active_flag attribute indicates whether or
not the data correction described by the parent class is
active.
The analog_offset attribute identifies the
analog value that is subtracted from the signal prior to the
analog/digital conversion.
The autoexposure_algorithm_name attribute
provides the algorithm used for histograwm thresholding or
autoexposure of the image. Some example algorithms from past
missions are, 'Maki 2003' used on MER cameras, MSL ECAMs, M2020
EECAMs; 'Maurice 2012' used on MSL ChemCam; 'Smith 1997' used on
Mars Pathfinder Imager.
The azimuth_fov attribute specifies the angular
measure of the horizontal field of view of an imaged scene.
The bandwidth attribute provides a measure of
the spectral width of a filter. For a root-mean-square detector
this is the effective bandwidth of the filter, i.e. the full
width of an ideal square filter having a flat response over the
bandwidth and zero response elsewhere. Another common method for
measuring bandwidth is Full Width at Half Maximum, which is the
width of a "bump" on a curve or function. It is given by the
distance between points on the curve at which the function
reaches half of its maximum value.
The bayer_state attribute specifies whether or
not the data is encoded in a Bayer pattern. Valid values: 'No
Bayer' - sensor does not support Bayer pattern, or the pattern
is not relevant, 'Bayer Encoded' - data is Bayer encoded,
'Debayered' - Bayer pattern was removed.
The center_filter_wavelength attribute provides
the wavelength of the center of the passband, or the peak
transmissivity, for an instrument filter.
The color_subsampling_mode attribute specifies
the JPEG color subsampling mode used during compression. Valid
values: '4:2:2' - 4:2:2 chroma subsampling, which is the typical
case, '4:4:4' - 4:4:4 chroma sampling, which indicates no
subsampling, 'Grayscale' - indicates a grayscale
image
The companding_method attribute specifies how
data was companded. Generally this will either be via a lookup
table (such as a square root encoding), or by shifting bits to
preserve the high order bits and discard the low order bits. The
value of this keyword is mission specific but there are
recommended values that should apply across missions when
possible: NONE - no scaling. LUTn - use the numbered lookup
table. Lookup tables are defined in the mission SIS. It is
preferred for "n" to be a number but it could be a name, for
example LUT_MMM_3 to indicate LUT 3 for the MMM instruments (on
MSL). MSB_BITn - Shift to make bit "n" the most significant.
Bits start numbering at 0 so MSB_BIT7 means no shift for a 12->8
bit companding, while MSB_BIT11 means to shift right 4 bits for
a 12->8 bit companding. AUTOSHIFT - Data should be shifted to
preserve the highest value. This value should only appear in a
command echo; one of the MSB_BITn values should be used in
downlinked data to specify what the actual shift
was.
The companding_state attribute specifies whether
the data is or has had its bit depth reduced, for example
conversion from 12 to 8 bits via a lookup table or bit scaling.
Valid values: None - values have not been companded. Companded -
values are currently companded. Expanded - values have been
companded but are now expanded back to original
size.
The companding_venue attribute specifies where
companding or expanding of the data was completed either onboard
or on the ground. Valid values: 'Hardware' - companding was done
by hardware, for example inside the camera. 'Software' -
companding was done by flight software. 'None' - data was not
companded
The compression_class attribute identifies the
type of on-board compression used for data storage and
transmission. Note that the compression_type and
compression_mode identify the specific compression algorithm
used (for example, ICER), whereas the compression_class gives a
simple indicator of the type of compression mode. Valid values:
'Lossless', 'Lossy', 'Uncompressed'
The compression_mode attribute identifies the
method used for on-board compression of data. The value for this
attributes represents the raw integer value for compression,
which is then translated to the full name captured by the
compression_type attribute.
The compression_quality attribute is an
indication of compression quality, in the range of 0.0 to 1.0.
Losslessly compressed or uncompressed data have a value of 1.0.
Other values are assigned in a manner specific to the
compression mode, but with the property that a higher value
means better compression. Although the values are not directly
comparable across compression types, this facilitates comparison
of compression quality across images independent of compression
mode.
The compression_rate attribute provides the
average number of bits needed to represent a pixel for an
on-board compressed image.
The compression_ratio attribute provides the
ratio of the size, in bytes, of the original uncompressed data
object to its compressed form (original size / compressed size).
The compression_type attribute identifies the
type of on-board compression used for data storage and
transmission. Note: The compression_mode identifies the
shortened version. Valid Values: 'ICER', 'LOCO', 'JPEG', 'JPEG
Progressive', 'MSSS Lossless'.
The creation_date_time attribute specifies the
time, in standard UTC format, that the data or product was
created on board a spacecraft. This value is not always
co-incident with the data acquisition time.
The creation_sclk attribute specifies the value
of the spacecraft clock at the time the data or product was
created on board a spacecraft. This value is not always
co-incident with the data acquisition time.
The crosstrack_summing attribute provides the
number of detector pixel values in the crosstrack direction that
have been averaged to produce the final output
pixel.
The current_value attribute provides provides
the current, in the specified units, of an imaging instrument or
some part of the imaging instrument.
The data_correction_type attribute specifies the
type of data correction to be applied using the accompanying
file or constants. Valid values: 'Antiblooming', 'Bad Pixel',
'Blemish Protection', 'Brightness', 'Dark Current', 'Flat
Field', 'Inverse LUT', 'Light Flood', 'Responsivity',
'Shutter'
The data_correction_venue attribute specifies
where data correction was performed. Valid values: 'Onboard' -
data correction was performed onboard the spacecraft. 'Ground' -
data correction was performed by software on the ground.
The debayer_algorithm specifies the algorithm
used to remove the Bayer pattern in order to create color. Valid
values: Malvar, Zhang-Wu
The debayer_venue attribute specifies where the
bayer pattern was removed. Valid values: 'Onboard', 'Ground'.
Use the debayer_algorithm to specify the algorithm used to
remove the pattern.
The decomposition_stages attribute identifies
the number of stages of decomposition.
The deferred_flag attribute specifies whether
compression was done at the time of image acquisition, or was
deferred until later (typically at downlink time).
The detector_erase_count specifies the number of
times a detector has been or will be flushed of data in raw
counts, dependent on the parent class for the
attribute.
The detector_first_line attribute specifies the
starting row from the hardware, such as a charge-coupled device
(CCD), that contains data.
The detector_first_sample attribute specifies
the starting column from the hardware, such as a charge-coupled
device (CCD), that contains data.
The detector_lines attribute specifies the
number of rows extracted from the hardware, such as a
charge-coupled device (CCD), that contain
data.
The detector_to_image_rotation attribute
specifies the clockwise rotation, in degrees, that was applied
to an image along its optical path through an instrument, from
detector to final image orientation.
The device_name attribute supplies the formal
name for an imaging instrument, an imaging instrument device, or
some point on the instrument or device.
The downsampling_flag attribute specifies
whether or not downsampling has been applied to the
image(s).
The downsampling_method attribute specifies the
pixel resolution downsample method used. This varies by mission,
but examples from MSL include: 'Mean' - Downsampling done in
software by calculation of the mean., 'Conditional' - Use
hardware binning if downsampling (by mean calculation) and
subframe arguments are consistent.
The downsampling_venue attribute specifies where
downsampling was done onboard. Valid values: 'Hardware' -
downsampling was done by hardware, for example inside the
camera. 'Software' - downsampling was done by flight software.
'Both' - data was not companded.
The downtrack_summing attribute provides the
number of detector pixel values in the downtrack direction that
have been averaged to produce the final output
pixel.
The elevation_fov attribute specifies the
angular measure of the vertical field of view of an imaged
scene.
The error_pixel_count attribute specifies the
number of pixels that are outside a valid DN range, after all
decompression and post decompression processing has been
completed.
The expected_packets attribute provides the
total number of telemetry packets which constitute a complete
data product, i.e., a data product without missing
data.
The exposure count attribute provides the number
of exposures taken during a certain interval, such as the
duration of one command. For example, this may include the
number of exposures needed by an autoexpose
algorithm.
The exposure_duration attribute provides the
amount of time the instrument sensor was gathering light from
the scene, such as between opening and closing of a shutter, or
between flushing and readout of a CCD.
The exposure_duration_count attribute specifies
the value, in raw counts, for the amount of time the instrument
sensor was gathering light from the scene, such as between
opening and closing of a shutter, or between flushing and
readout of a CCD. This is the raw count either commanded or
taken directly from telemetry as reported by the spacecraft.
This attribute is the same as the exposure_duration but in DN
counts versus time, and the translation of
exposure_duration_count to exposure_duration will differ by
mission. The attribute can be specified in the context of both
Imaging_Instrument_State_Parameters (actual value) and
Command_Parameters (commanded value). Both commanded and actual
because it's possible for the actual to not match the commanded.
For example the exposure might fault out early, or there might
be a deadband (for example, pointing backlash) where changes in
the input do not actually affect the output.
The exposure_duration_threshold specifies the
exposure time threshold in raw counts, when
shutter_subtraction_mode = 'Conditional'.
The exposure_type attribute indicates the
exposure setting on a camera. Valid values: 'Manual' - manual
exposure setting, 'Auto' - autoexposure is applied by the
camera, 'Test' - test exposure setting telling the camera to
return a fixed-pattern test image.
The filter_id attribute provides a short string
identifier for an instrument filter through which an image or
measurement was acquired or which is associated with a given
instrument mode.
The filter_name attribute provides the name,
described in the mission documentation, of the instrument filter
through which an image or measurement was acquired or which is
associated with a given instrument mode.
The filter_number attribute provides the numeric
identifier of an instrument filter through which an image or
measurement was acquired or which is associated with a given
instrument mode.
The first_line attribute indicates the line
within a source image that corresponds to the first line in a
sub-image.
The first_sample attribute indicates the sample
within a source image that corresponds to the first sample in a
sub-image.
The flat_field_algorithm specifies the algorithm
used to remove the flat field signature.
The frame_id attribute specifies an
identification for a particular instrument measurement frame. A
frame consists of a sequence of measurements made over a
specified time interval, and may include measurements from
different instrument modes. These sequences repeat from cycle to
cycle and sometimes within a cycle.
The frame_type_name attribute specifies whether
the image was commanded as part of a stereo pair or as a single
left or right monoscopic image. If frame_type = 'Stereo', a left
and a right image should be present.
The gain_mode_id attribute identifies the gain
state of an instrument. Gain is a constant value which is
multiplied with an instrument's output signal to increase or
decrease the level of that output. These modes may vary by
mission so the permissible values should be set by the mission
dictionaries.
The gain_number attribute specifies the gain
value used in the analog to digital conversion. The gain value
is a multiplicative factor used in the analog to digital
conversion.
The height_pixels attribute provides the
vertical dimension, in pixels.
The icer_quality attribute is a ICER specific
variable for on-board ICER data compression.
The id attribute supplies a short name
(identifier) for the associated value in a group of related
values.
The interframe_delay attribute provides the
time between successive frames of an image, in
seconds.
The jpeg_parameter attribute is a JPEG specific
variable which specifies on-board compression determination by
image quality or by compression factor, based on a selected
on-board compression mode.
The jpeg_quality attribute is a JPEG specific
variable which identifies the resultant or targeted image
quality index for on-board data compression.
The lines attribute indicates the total number
of data instances along the vertical axis of an image or
sub-image.
The missing_packet_flag attribute indicates
whether or not there were telemetry packets that were expected
but not received.
The missing_pixel_count attribute identifies
the total number of missing pixels defined by the image or image
segment.
The packet_map_mask attribute is a binary or
hexadecimal number identifying which of a data file's expected
packets were actually received. The digits correspond
positionally with the relative packet numbers of the data file.
The bits are to be read left to right; i.e., the first
(left-most) digit of the number corresponds to the first packet
of the data file. A bit value of 1 indicates that the packet was
received; a value of 0 indicates that it was not
received.
The progressive_stage attribute specifies
TBD
The radiometric_correction_type_name identifies
the method used for radiometric correction.
The raw_count attribute provides the value of
some parameter measured by a spacecraft or instrument sensor in
the raw units reported by that sensor. A separate attribute
should be included alongside the raw_count that translates this
value into the appropriate engineering units. i.e.
temperature_value in degrees C or voltage_value in
Volts
The received_packets attribute provides the
total number of telemetry packets which constitute a
reconstructed data product, cf.
expected_packets.
The sample_bit_mask attribute Specifies the
active bits in a sample. Any bit mask is valid in an non-raw
product. Any 8-bit product, whether a scaled raw product or
other, will have the value "2#11111111" and be stored in one
byte. Any 12-bit product, whether an unscaled raw product, or an
ILUT partially-processed product (see companding_method), will
have the value "2#0000111111111111" and be stored in two bytes.
A 15-bit product (e.g. Radiometrically-corrected Calibrated
product type) will have the value "2#0111111111111111" and be
stored in two bytes. Any 32-bit integer product (e.g. Histogram
Raw product) will have the value
"2#11111111111111111111111111111111" and be stored in four
bytes. For floating-point data, sample_bit_mask is not valid and
may be absent. If present, it should be ignored. NOTE: In the
PDS, the domain of sample_bit_mask is dependent upon the
currently-described value in the sample_bits attribute and only
applies to integer values.
The sample_bits attribute specifies the logical
or active number of bits in the data, which is distinct from the
physical number of bits (for example, encoding 12-bit data
within 16-bit words). These logical bits are stored in the low
order (least significant) bits, with unused bits filled with 0
(or 1 for negative integers to preserve a two's complement
representation). This is distinct from the valid data range
(specified by valid_minimum and valid_maximum in
Special_Constants class) because all values, including
missing/invalid flag values, must fit within the sample_bits.
The intent is that the data should be able to be sent through a
communication channel that passes only sample_bits with no loss
in fidelity.
The samples attribute indicates the total
number of data instances along the horizontal axis of an image
or sub-image.
The sampling_factor attribute provides the
value N, where every Nth data point was kept from the original
data set by selection, averaging, or taking the median. When
applied to an image object, the single value represented in
sampling_factor applies to both the lines and the
samples.
The segment_count attribute identifies the
number of segments into which the image was partitioned for
error containment purposes.
The segment_number attribute identifies which
compression segment is described in the current Segment class.
The segment_quality attribute identifies the
resultant or targeted image quality index for on-board ICER data
compression. Upon return by the ICER decompress function, the
output quantity segment_quality provides an indication of the
quality of the reconstructed segment. Specifically, the value
returned is a double for which the integer values correspond to
attained min loss values, but in general is an interpolation
between these values. Thus lower values of segment_quality
correspond to higher reconstructed qualities, and a value of
indicates lossless compression. Note that the compressed stream
does not directly contain the value of min loss that was given
to the compressor, but the decompressor does know how far along
in the decompression process it got before it ran out of bits;
this information is used to determine segment_quality. In rare
circumstances the decompressor m ay not be able to determine
segment_quality for a segment that it decompresses. In this case
it sets segment_quality to 1.0. The reconstructed segment might
be either lossy or lossless when this occurs. The technical
condition under which a quality value is not determined is that
the decompressor runs out of the data for the segment before
decoding any bit plane information.
The segment_status attribute provides a bit
mask which provides the status of decoding for the compression
segment identified by segment_number. Upon return by the ICER
decompress function, the output quantity of segment_status
contains a number indicating the decode status. The decode
status may have one or more of the following flags set:
SHORTDATASEG FLAG (bit 0): If this flag is set, then the segment
contained so little data that nothing could be reconstructed in
the segment. INCONSISTENTDATA FLAG (bit 1): If this flag is set,
then one or more pieces of information in the segment header
(specifically, image width, image height, n segs, wavelet
filter, n decomps) are inconsistent with the value(s) in the
first (valid) segment. ICER will ignore the data in this
segment. DUPLICATESEG FLAG (bit 2): If this flag is set, then
the segment index given in the header equals that given by a
previous segment. The decompressor will ignore the data in this
segment. BADBITPLANENUMBER FLAG (bit 3): If this flag is set,
then an ICER internal parameter in the header for this segment
has probably been corrupted. The decompressor will ignore the
data in this segment. BADBITPLANECOUNT FLAG (bit 4): If this
flag is set, then an ICER internal parameter in the header for
this segment has probably been corrupted. The decompressor will
ignore the data in this segment. BADDATA FLAG (bit 5): If this
flag is set, then either the parameter combination given in the
header for this segment are not allowed by ICER, or the segment
number is bad. This probably indicates corrupted data. The
decompressor will ignore the data in this segment.
The sequence_number attribute supplies the
sequence identifier for the associated value in a group of
related values.
The shutter_subtraction_mode specifies whether
shutter subtraction will be performed, or if it is dependent on
the exposure_duration_threshold_count.
The subframe_type attribute specifies the
method of subframing performed on the image. These methods may
vary by mission so the permissible values should be set by the
mission dictionaries. Example values from MSL include a)
'Software Only' - Software processsing only. b) 'Hardware
Compatible' - Use hardware only if compatible. c) 'Hardware Else
Software' - Use hardware then software. d) 'Subframe Around Sun'
- If the sun is found, send a subframed image of the sun. If sun
is not found, send back no image.
The temperature_value attribute provides the
temperature, in the specified units, of some point on an imaging
instrument or other imaging instrument device.
The value_number attribute provides the value
with no applicable units as named by the associated id, name, or
sequence_number.
The value_string attribute provides the value
with no applicable units as named by the associated id, name, or
sequence_number.
The voltage_value attribute provides provides
the voltage, in the specified units, of an imaging instrument or
some part of the imaging instrument.
The wavelet_filter attribute specifies thefilter
used in the compression and decompression
algorithm.
The width_pixels attribute provides the
horizontal dimension, in pixels.
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}
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}
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}
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}
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}
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, "propertyMapEntryList": [
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}
}
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}
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}
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]
}
}
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}
}
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]
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}
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]
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}
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]
}
}
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]
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}
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}
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}
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}
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}
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}
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]
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}
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}
}
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}
}
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}
}
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]
}
}
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}
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}
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}
}
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}
}
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}
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}
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}
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"property_value": "$label.TELEMETRY.PRODUCT_COMPLETION_STATUS" }
}
]
}
}
, {"PropertyMap": {
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"external_namespace_id": "img_surf" ,
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, "propertyMapEntryList": [
{"PropertyMapEntry": {
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}
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}
]
}
}
, {"PropertyMap": {
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"title": "null" ,
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"external_namespace_id": "img_surf" ,
"description": "VICAR Keyword property maps"
, "propertyMapEntryList": [
{"PropertyMapEntry": {
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}
, {"PropertyMapEntry": {
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}
]
}
}
, {"PropertyMap": {
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"title": "null" ,
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"external_namespace_id": "img_surf" ,
"description": "VICAR Keyword property maps"
, "propertyMapEntryList": [
{"PropertyMapEntry": {
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}
, {"PropertyMapEntry": {
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}
]
}
}
, {"PropertyMap": {
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"title": "null" ,
"model_object_id": "0001_NASA_PDS_1.img_surf.Mars_Surface_Imaging_Parameters.img_surf.telemetry_application_id" ,
"model_object_type": "Attribute" ,
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"external_namespace_id": "img_surf" ,
"description": "VICAR Keyword property maps"
, "propertyMapEntryList": [
{"PropertyMapEntry": {
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}
, {"PropertyMapEntry": {
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"property_value": "$label.TELEMETRY.APPLICATION_PROCESS_ID" }
}
]
}
}
, {"PropertyMap": {
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"title": "null" ,
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"external_namespace_id": "img_surf" ,
"description": "VICAR Keyword property maps"
, "propertyMapEntryList": [
{"PropertyMapEntry": {
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}
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}
]
}
}
, {"PropertyMap": {
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"title": "null" ,
"model_object_id": "0001_NASA_PDS_1.img_surf.Mars_Surface_Imaging_Parameters.img_surf.telemetry_provider_id" ,
"model_object_type": "Attribute" ,
"instance_id": "\/\/img_surf:Mars_Surface_Imaging_Parameters\/img_surf:telemetry_provider_id" ,
"external_namespace_id": "img_surf" ,
"description": "VICAR Keyword property maps"
, "propertyMapEntryList": [
{"PropertyMapEntry": {
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}
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}
]
}
}
, {"PropertyMap": {
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"title": "null" ,
"model_object_id": "0001_NASA_PDS_1.img_surf.Mars_Surface_Imaging_Parameters.img_surf.telemetry_source_name" ,
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"external_namespace_id": "img_surf" ,
"description": "VICAR Keyword property maps"
, "propertyMapEntryList": [
{"PropertyMapEntry": {
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}
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}
]
}
}
, {"PropertyMap": {
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"title": "null" ,
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"description": "VICAR Keyword property maps"
, "propertyMapEntryList": [
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}
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}
]
}
}
, {"PropertyMap": {
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"title": "null" ,
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"external_namespace_id": "insight" ,
"description": "VICAR Keyword property maps"
, "propertyMapEntryList": [
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}
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}
]
}
}
, {"PropertyMap": {
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"title": "null" ,
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"description": "VICAR Keyword property maps"
, "propertyMapEntryList": [
{"PropertyMapEntry": {
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}
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}
]
}
}
, {"PropertyMap": {
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"title": "null" ,
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"external_namespace_id": "insight" ,
"description": "VICAR Keyword property maps"
, "propertyMapEntryList": [
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}
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}
]
}
}
, {"PropertyMap": {
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"description": "VICAR Keyword property maps"
, "propertyMapEntryList": [
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}
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}
]
}
}
, {"PropertyMap": {
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"description": "VICAR Keyword property maps"
, "propertyMapEntryList": [
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}
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}
]
}
}
, {"PropertyMap": {
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, "propertyMapEntryList": [
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}
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}
]
}
}
, {"PropertyMap": {
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"description": "VICAR Keyword property maps"
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}
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}
]
}
}
, {"PropertyMap": {
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"description": "VICAR Keyword property maps"
, "propertyMapEntryList": [
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}
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}
]
}
}
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}
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}
]
}
}
, {"PropertyMap": {
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, "propertyMapEntryList": [
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}
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]
}
}
, {"PropertyMap": {
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}
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}
]
}
}
, {"PropertyMap": {
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, "propertyMapEntryList": [
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}
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}
]
}
}
, {"PropertyMap": {
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}
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}
]
}
}
, {"PropertyMap": {
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}
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]
}
}
, {"PropertyMap": {
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"description": "VICAR Keyword property maps"
, "propertyMapEntryList": [
{"PropertyMapEntry": {
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}
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}
]
}
}
, {"PropertyMap": {
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"description": "VICAR Keyword property maps"
, "propertyMapEntryList": [
{"PropertyMapEntry": {
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}
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}
]
}
}
, {"PropertyMap": {
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"external_namespace_id": "pds" ,
"description": "VICAR Keyword property maps"
, "propertyMapEntryList": [
{"PropertyMapEntry": {
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}
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}
]
}
}
, {"PropertyMap": {
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, "propertyMapEntryList": [
{"PropertyMapEntry": {
"property_name": "VICAR" ,
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}
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}
]
}
}
, {"PropertyMap": {
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"description": "VICAR Keyword property maps"
, "propertyMapEntryList": [
{"PropertyMapEntry": {
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}
, {"PropertyMapEntry": {
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}
]
}
}
, {"PropertyMap": {
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"description": "VICAR Keyword property maps"
, "propertyMapEntryList": [
{"PropertyMapEntry": {
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}
, {"PropertyMapEntry": {
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}
]
}
}
, {"PropertyMap": {
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"title": "null" ,
"model_object_id": "0001_NASA_PDS_1.pds.Element_Array.pds.unit" ,
"model_object_type": "Attribute" ,
"instance_id": "\/\/pds:Element_Array\/pds:unit" ,
"external_namespace_id": "pds" ,
"description": "VICAR Keyword property maps"
, "propertyMapEntryList": [
{"PropertyMapEntry": {
"property_name": "VICAR" ,
"property_value": "DERIVED_IMAGE_PARMS.RADIANCE_SCALING_FACTOR__UNIT" }
}
, {"PropertyMapEntry": {
"property_name": "Velocity" ,
"property_value": "$label.DERIVED_IMAGE_PARMS.RADIANCE_SCALING_FACTOR__UNIT" }
}
]
}
}
, {"PropertyMap": {
"identifier": "0001_NASA_PDS_1.pds.Property_Map.pds.Element_Array.pds.value_offset" ,
"title": "null" ,
"model_object_id": "0001_NASA_PDS_1.pds.Element_Array.pds.value_offset" ,
"model_object_type": "Attribute" ,
"instance_id": "\/\/pds:Element_Array\/pds:value_offset" ,
"external_namespace_id": "pds" ,
"description": "VICAR Keyword property maps"
, "propertyMapEntryList": [
{"PropertyMapEntry": {
"property_name": "VICAR" ,
"property_value": "DERIVED_IMAGE_PARMS.RADIANCE_OFFSET" }
}
, {"PropertyMapEntry": {
"property_name": "Velocity" ,
"property_value": "$label.DERIVED_IMAGE_PARMS.RADIANCE_OFFSET" }
}
]
}
}
, {"PropertyMap": {
"identifier": "0001_NASA_PDS_1.pds.Property_Map.pds.Special_Constants.pds.invalid_constant" ,
"title": "null" ,
"model_object_id": "0001_NASA_PDS_1.pds.Special_Constants.pds.invalid_constant" ,
"model_object_type": "Attribute" ,
"instance_id": "\/\/pds:Special_Constants\/pds:invalid_constant" ,
"external_namespace_id": "pds" ,
"description": "VICAR Keyword property maps"
, "propertyMapEntryList": [
{"PropertyMapEntry": {
"property_name": "VICAR" ,
"property_value": "IMAGE_DATA.INVALID_CONSTANT" }
}
, {"PropertyMapEntry": {
"property_name": "Velocity" ,
"property_value": "$label.IMAGE_DATA.INVALID_CONSTANT" }
}
]
}
}
, {"PropertyMap": {
"identifier": "0001_NASA_PDS_1.pds.Property_Map.pds.Special_Constants.pds.missing_constant" ,
"title": "null" ,
"model_object_id": "0001_NASA_PDS_1.pds.Special_Constants.pds.missing_constant" ,
"model_object_type": "Attribute" ,
"instance_id": "\/\/pds:Special_Constants\/pds:missing_constant" ,
"external_namespace_id": "pds" ,
"description": "VICAR Keyword property maps"
, "propertyMapEntryList": [
{"PropertyMapEntry": {
"property_name": "VICAR" ,
"property_value": "IMAGE_DATA.MISSING_CONSTANT" }
}
, {"PropertyMapEntry": {
"property_name": "Velocity" ,
"property_value": "$label.IMAGE_DATA.MISSING_CONSTANT" }
}
]
}
}
, {"PropertyMap": {
"identifier": "0001_NASA_PDS_1.pds.Property_Map.pds.File.pds.creation_date_time" ,
"title": "null" ,
"model_object_id": "0001_NASA_PDS_1.pds.File.pds.creation_date_time" ,
"model_object_type": "Attribute" ,
"instance_id": "\/\/pds:File\/pds:creation_date_time" ,
"external_namespace_id": "pds" ,
"description": "VICAR Keyword property maps"
, "propertyMapEntryList": [
{"PropertyMapEntry": {
"property_name": "VICAR" ,
"property_value": "IDENTIFICATION.PRODUCT_CREATION_TIME" }
}
, {"PropertyMapEntry": {
"property_name": "Velocity" ,
"property_value": "$label.IDENTIFICATION.PRODUCT_CREATION_TIME" }
}
]
}
}
, {"PropertyMap": {
"identifier": "0001_NASA_PDS_1.pds.Property_Map.pds.Identification_Area.pds.title" ,
"title": "null" ,
"model_object_id": "0001_NASA_PDS_1.pds.Identification_Area.pds.title" ,
"model_object_type": "Attribute" ,
"instance_id": "\/\/pds:Identification_Area\/pds:title" ,
"external_namespace_id": "pds" ,
"description": "VICAR Keyword property maps"
, "propertyMapEntryList": [
{"PropertyMapEntry": {
"property_name": "VICAR" ,
"property_value": "IDENTIFICATION.INSTRUMENT_ID" }
}
, {"PropertyMapEntry": {
"property_name": "Velocity" ,
"property_value": "$label.IDENTIFICATION.INSTRUMENT_ID" }
}
]
}
}
, {"PropertyMap": {
"identifier": "0001_NASA_PDS_1.pds.Property_Map.cart.Map_Projection_Lander.cart.Coordinate_Space_Reference" ,
"title": "null" ,
"model_object_id": "0001_NASA_PDS_1.cart.Map_Projection_Lander.cart.Coordinate_Space_Reference" ,
"model_object_type": "Class" ,
"instance_id": "\/\/cart:Map_Projection_Lander\/cart:Coordinate_Space_Reference" ,
"external_namespace_id": "cart" ,
"description": "VICAR Keyword property maps"
, "propertyMapEntryList": [
{"PropertyMapEntry": {
"property_name": "VICAR" ,
"property_value": "SURFACE_PROJECTION_PARMS.REFERENCE_COORD_SYSTEM_INDEX" }
}
, {"PropertyMapEntry": {
"property_name": "Velocity" ,
"property_value": "$label.SURFACE_PROJECTION_PARMS.REFERENCE_COORD_SYSTEM_INDEX" }
}
]
}
}
, {"PropertyMap": {
"identifier": "0001_NASA_PDS_1.pds.Property_Map.cart.Map_Projection_Lander.cart.Coordinate_Space_Reference" ,
"title": "null" ,
"model_object_id": "0001_NASA_PDS_1.cart.Map_Projection_Lander.cart.Coordinate_Space_Reference" ,
"model_object_type": "Class" ,
"instance_id": "\/\/cart:Map_Projection_Lander\/cart:Coordinate_Space_Reference" ,
"external_namespace_id": "cart" ,
"description": "VICAR Keyword property maps"
, "propertyMapEntryList": [
{"PropertyMapEntry": {
"property_name": "VICAR" ,
"property_value": "SURFACE_PROJECTION_PARMS.REFERENCE_COORD_SYSTEM_NAME" }
}
, {"PropertyMapEntry": {
"property_name": "Velocity" ,
"property_value": "$label.SURFACE_PROJECTION_PARMS.REFERENCE_COORD_SYSTEM_NAME" }
}
]
}
}
, {"PropertyMap": {
"identifier": "0001_NASA_PDS_1.pds.Property_Map.geom.Camera_Model_Parameters.geom.model_type" ,
"title": "null" ,
"model_object_id": "0001_NASA_PDS_1.geom.Camera_Model_Parameters.geom.model_type" ,
"model_object_type": "Attribute" ,
"instance_id": "\/\/geom:Camera_Model_Parameters\/geom:model_type" ,
"external_namespace_id": "geom" ,
"description": "VICAR Keyword property maps"
, "propertyMapEntryList": [
{"PropertyMapEntry": {
"property_name": "VICAR" ,
"property_value": "GEOMETRIC_CAMERA_MODEL.MODEL_TYPE" }
}
, {"PropertyMapEntry": {
"property_name": "Velocity" ,
"property_value": "$label.GEOMETRIC_CAMERA_MODEL.MODEL_TYPE" }
}
]
}
}
, {"PropertyMap": {
"identifier": "0001_NASA_PDS_1.pds.Property_Map.geom.Coordinate_Space_Present.geom.Coordinate_Space_Indexed.geom.solution_id" ,
"title": "null" ,
"model_object_id": "0001_NASA_PDS_1.geom.Coordinate_Space_Present.geom.Coordinate_Space_Indexed.geom.solution_id" ,
"model_object_type": "Attribute" ,
"instance_id": "\/\/geom:Coordinate_Space_Present\/geom:Coordinate_Space_Indexed\/geom:solution_id" ,
"external_namespace_id": "geom" ,
"description": "VICAR Keyword property maps"
, "propertyMapEntryList": [
{"PropertyMapEntry": {
"property_name": "VICAR" ,
"property_value": "ARM_COORDINATE_SYSTEM.SOLUTION_ID" }
}
, {"PropertyMapEntry": {
"property_name": "Velocity" ,
"property_value": "$label.ARM_COORDINATE_SYSTEM.SOLUTION_ID" }
}
]
}
}
, {"PropertyMap": {
"identifier": "0001_NASA_PDS_1.pds.Property_Map.img.Image_Compression_Parameters.img.compression_mode_name" ,
"title": "null" ,
"model_object_id": "0001_NASA_PDS_1.img.Image_Compression_Parameters.img.compression_mode_name" ,
"model_object_type": "Attribute" ,
"instance_id": "\/\/img:Image_Compression_Parameters\/img:compression_mode_name" ,
"external_namespace_id": "img" ,
"description": "VICAR Keyword property maps"
, "propertyMapEntryList": [
{"PropertyMapEntry": {
"property_name": "VICAR" ,
"property_value": "COMPRESSION.INST_CMPRS_NAME" }
}
, {"PropertyMapEntry": {
"property_name": "Velocity" ,
"property_value": "$label.COMPRESSION.INST_CMPRS_NAME" }
}
]
}
}
, {"PropertyMap": {
"identifier": "0001_NASA_PDS_1.pds.Property_Map.img.Image_Compression_Parameters.img.compression_rate" ,
"title": "null" ,
"model_object_id": "0001_NASA_PDS_1.img.Image_Compression_Parameters.img.compression_rate" ,
"model_object_type": "Attribute" ,
"instance_id": "\/\/img:Image_Compression_Parameters\/img:compression_rate" ,
"external_namespace_id": "img" ,
"description": "VICAR Keyword property maps"
, "propertyMapEntryList": [
{"PropertyMapEntry": {
"property_name": "VICAR" ,
"property_value": "COMPRESSION.INST_CMPRS_RATE" }
}
, {"PropertyMapEntry": {
"property_name": "Velocity" ,
"property_value": "$label.COMPRESSION.INST_CMPRS_RATE" }
}
]
}
}
, {"PropertyMap": {
"identifier": "0001_NASA_PDS_1.pds.Property_Map.img.Image_Compression_Parameters.img.compression_ratio" ,
"title": "null" ,
"model_object_id": "0001_NASA_PDS_1.img.Image_Compression_Parameters.img.compression_ratio" ,
"model_object_type": "Attribute" ,
"instance_id": "\/\/img:Image_Compression_Parameters\/img:compression_ratio" ,
"external_namespace_id": "img" ,
"description": "VICAR Keyword property maps"
, "propertyMapEntryList": [
{"PropertyMapEntry": {
"property_name": "VICAR" ,
"property_value": "COMPRESSION.INST_CMPRS_RATIO" }
}
, {"PropertyMapEntry": {
"property_name": "Velocity" ,
"property_value": "$label.COMPRESSION.INST_CMPRS_RATIO" }
}
]
}
}
, {"PropertyMap": {
"identifier": "0001_NASA_PDS_1.pds.Property_Map.img.JPEG_Parameters.img.color_subsampling_mode" ,
"title": "null" ,
"model_object_id": "0001_NASA_PDS_1.img.JPEG_Parameters.img.color_subsampling_mode" ,
"model_object_type": "Attribute" ,
"instance_id": "\/\/img:JPEG_Parameters\/img:color_subsampling_mode" ,
"external_namespace_id": "img" ,
"description": "VICAR Keyword property maps"
, "propertyMapEntryList": [
{"PropertyMapEntry": {
"property_name": "VICAR" ,
"property_value": "COMPRESSION.INST_CMPRS_COLOR_MODE" }
}
, {"PropertyMapEntry": {
"property_name": "Velocity" ,
"property_value": "$label.COMPRESSION.INST_CMPRS_COLOR_MODE" }
}
]
}
}
, {"PropertyMap": {
"identifier": "0001_NASA_PDS_1.pds.Property_Map.img.JPEG_Parameters.img.jpeg_quality" ,
"title": "null" ,
"model_object_id": "0001_NASA_PDS_1.img.JPEG_Parameters.img.jpeg_quality" ,
"model_object_type": "Attribute" ,
"instance_id": "\/\/img:JPEG_Parameters\/img:jpeg_quality" ,
"external_namespace_id": "img" ,
"description": "VICAR Keyword property maps"
, "propertyMapEntryList": [
{"PropertyMapEntry": {
"property_name": "VICAR" ,
"property_value": "COMPRESSION.INST_CMPRS_QUALITY" }
}
, {"PropertyMapEntry": {
"property_name": "Velocity" ,
"property_value": "$label.COMPRESSION.INST_CMPRS_QUALITY" }
}
]
}
}
, {"PropertyMap": {
"identifier": "0001_NASA_PDS_1.pds.Property_Map.img.Filter.img.Bayer_Parameters" ,
"title": "null" ,
"model_object_id": "0001_NASA_PDS_1.img.Filter.img.Bayer_Parameters" ,
"model_object_type": "Class" ,
"instance_id": "\/\/img:Filter\/img:Bayer_Parameters" ,
"external_namespace_id": "img" ,
"description": "VICAR Keyword property maps"
, "propertyMapEntryList": [
{"PropertyMapEntry": {
"property_name": "VICAR" ,
"property_value": "INSTRUMENT_STATE_PARMS.BAYER_MODE" }
}
, {"PropertyMapEntry": {
"property_name": "Velocity" ,
"property_value": "$label.INSTRUMENT_STATE_PARMS.BAYER_MODE" }
}
]
}
}
, {"PropertyMap": {
"identifier": "0001_NASA_PDS_1.pds.Property_Map.img.Companding_Parameters.img.companding_state" ,
"title": "null" ,
"model_object_id": "0001_NASA_PDS_1.img.Companding_Parameters.img.companding_state" ,
"model_object_type": "Attribute" ,
"instance_id": "\/\/img:Companding_Parameters\/img:companding_state" ,
"external_namespace_id": "img" ,
"description": "VICAR Keyword property maps"
, "propertyMapEntryList": [
{"PropertyMapEntry": {
"property_name": "VICAR" ,
"property_value": "INSTRUMENT_STATE_PARMS.SAMPLE_BIT_METHOD" }
}
, {"PropertyMapEntry": {
"property_name": "Velocity" ,
"property_value": "$label.INSTRUMENT_STATE_PARMS.SAMPLE_BIT_METHOD" }
}
]
}
}
, {"PropertyMap": {
"identifier": "0001_NASA_PDS_1.pds.Property_Map.img_surf.Derived_Product_Parameters.img_surf.Coordinate_Space_Reference" ,
"title": "null" ,
"model_object_id": "0001_NASA_PDS_1.img_surf.Derived_Product_Parameters.img_surf.Coordinate_Space_Reference" ,
"model_object_type": "Class" ,
"instance_id": "\/\/img_surf:Derived_Product_Parameters\/img_surf:Coordinate_Space_Reference" ,
"external_namespace_id": "img_surf" ,
"description": "VICAR Keyword property maps"
, "propertyMapEntryList": [
{"PropertyMapEntry": {
"property_name": "VICAR" ,
"property_value": "DERIVED_IMAGE_PARMS.REFERENCE_COORD_SYSTEM_NAME" }
}
, {"PropertyMapEntry": {
"property_name": "Velocity" ,
"property_value": "$label.DERIVED_IMAGE_PARMS.REFERENCE_COORD_SYSTEM_NAME" }
}
]
}
}
, {"PropertyMap": {
"identifier": "0001_NASA_PDS_1.pds.Property_Map.pds.Observing_System_Component.pds.name" ,
"title": "null" ,
"model_object_id": "0001_NASA_PDS_1.pds.Observing_System_Component.pds.name" ,
"model_object_type": "Attribute" ,
"instance_id": "\/\/pds:Observing_System_Component\/pds:name" ,
"external_namespace_id": "pds" ,
"description": "VICAR Keyword property maps"
, "propertyMapEntryList": [
{"PropertyMapEntry": {
"property_name": "VICAR" ,
"property_value": "IDENTIFICATION.INSTRUMENT_NAME" }
}
, {"PropertyMapEntry": {
"property_name": "Velocity" ,
"property_value": "$label.IDENTIFICATION.INSTRUMENT_NAME" }
}
]
}
}
, {"PropertyMap": {
"identifier": "0001_NASA_PDS_1.pds.Property_Map.pds.Target_Identification.pds.type" ,
"title": "null" ,
"model_object_id": "0001_NASA_PDS_1.pds.Target_Identification.pds.type" ,
"model_object_type": "Attribute" ,
"instance_id": "\/\/pds:Target_Identification\/pds:type" ,
"external_namespace_id": "pds" ,
"description": "VICAR Keyword property maps"
, "propertyMapEntryList": [
{"PropertyMapEntry": {
"property_name": "VICAR" ,
"property_value": "IDENTIFICATION.TARGET_TYPE" }
}
, {"PropertyMapEntry": {
"property_name": "Velocity" ,
"property_value": "$label.IDENTIFICATION.TARGET_TYPE" }
}
]
}
}
, {"PropertyMap": {
"identifier": "0001_NASA_PDS_1.pds.Property_Map.pds.Internal_Reference.pds.lid_reference" ,
"title": "null" ,
"model_object_id": "0001_NASA_PDS_1.pds.Internal_Reference.pds.lid_reference" ,
"model_object_type": "Attribute" ,
"instance_id": "\/\/pds:Internal_Reference\/pds:lid_reference" ,
"external_namespace_id": "pds" ,
"description": "VICAR Keyword property maps"
, "propertyMapEntryList": [
{"PropertyMapEntry": {
"property_name": "VICAR" ,
"property_value": "IDENTIFICATION.SOURCE_PRODUCT_ID" }
}
, {"PropertyMapEntry": {
"property_name": "Velocity" ,
"property_value": "$label.IDENTIFICATION.SOURCE_PRODUCT_ID" }
}
]
}
}
, {"PropertyMap": {
"identifier": "0001_NASA_PDS_1.pds.Property_Map.proc.Processing_Information.proc.Input_Product_List" ,
"title": "null" ,
"model_object_id": "0001_NASA_PDS_1.proc.Processing_Information.proc.Input_Product_List" ,
"model_object_type": "Class" ,
"instance_id": "\/\/proc:Processing_Information\/proc:Input_Product_List" ,
"external_namespace_id": "proc" ,
"description": "VICAR Keyword property maps"
, "propertyMapEntryList": [
{"PropertyMapEntry": {
"property_name": "VICAR" ,
"property_value": "DERIVED_IMAGE_PARMS.INPUT_PRODUCT_ID" }
}
, {"PropertyMapEntry": {
"property_name": "Velocity" ,
"property_value": "$label.DERIVED_IMAGE_PARMS.INPUT_PRODUCT_ID" }
}
]
}
}
, {"PropertyMap": {
"identifier": "0001_NASA_PDS_1.pds.Property_Map.cart.Surface_Model_Parameters.cart.Coordinate_Space_Reference" ,
"title": "null" ,
"model_object_id": "0001_NASA_PDS_1.cart.Surface_Model_Parameters.cart.Coordinate_Space_Reference" ,
"model_object_type": "Class" ,
"instance_id": "\/\/cart:Surface_Model_Parameters\/cart:Coordinate_Space_Reference" ,
"external_namespace_id": "cart" ,
"description": "VICAR Keyword property maps"
, "propertyMapEntryList": [
{"PropertyMapEntry": {
"property_name": "VICAR" ,
"property_value": "SURFACE_MODEL_PARMS.REFERENCE_COORD_SYSTEM_INDEX" }
}
, {"PropertyMapEntry": {
"property_name": "Velocity" ,
"property_value": "$label.SURFACE_MODEL_PARMS.REFERENCE_COORD_SYSTEM_INDEX" }
}
]
}
}
, {"PropertyMap": {
"identifier": "0001_NASA_PDS_1.pds.Property_Map.cart.Surface_Model_Parameters.cart.Coordinate_Space_Reference" ,
"title": "null" ,
"model_object_id": "0001_NASA_PDS_1.cart.Surface_Model_Parameters.cart.Coordinate_Space_Reference" ,
"model_object_type": "Class" ,
"instance_id": "\/\/cart:Surface_Model_Parameters\/cart:Coordinate_Space_Reference" ,
"external_namespace_id": "cart" ,
"description": "VICAR Keyword property maps"
, "propertyMapEntryList": [
{"PropertyMapEntry": {
"property_name": "VICAR" ,
"property_value": "SURFACE_MODEL_PARMS.REFERENCE_COORD_SYSTEM_NAME" }
}
, {"PropertyMapEntry": {
"property_name": "Velocity" ,
"property_value": "$label.SURFACE_MODEL_PARMS.REFERENCE_COORD_SYSTEM_NAME" }
}
]
}
}
, {"PropertyMap": {
"identifier": "0001_NASA_PDS_1.pds.Property_Map.cart.Vector_Surface_Ground_Location.cart.z_position" ,
"title": "null" ,
"model_object_id": "0001_NASA_PDS_1.cart.Vector_Surface_Ground_Location.cart.z_position" ,
"model_object_type": "Attribute" ,
"instance_id": "\/\/cart:Vector_Surface_Ground_Location\/cart:z_position" ,
"external_namespace_id": "cart" ,
"description": "VICAR Keyword property maps"
, "propertyMapEntryList": [
{"PropertyMapEntry": {
"property_name": "VICAR" ,
"property_value": "SURFACE_MODEL_PARMS.SURFACE_GROUND_LOCATION" }
}
, {"PropertyMapEntry": {
"property_name": "Velocity" ,
"property_value": "$label.SURFACE_MODEL_PARMS.SURFACE_GROUND_LOCATION" }
}
]
}
}
, {"PropertyMap": {
"identifier": "0001_NASA_PDS_1.pds.Property_Map.cart.Horizontal_Coordinate_System_Definition.cart.Surface_Model_Parameters" ,
"title": "null" ,
"model_object_id": "0001_NASA_PDS_1.cart.Horizontal_Coordinate_System_Definition.cart.Surface_Model_Parameters" ,
"model_object_type": "Class" ,
"instance_id": "\/\/cart:Horizontal_Coordinate_System_Definition\/cart:Surface_Model_Parameters" ,
"external_namespace_id": "cart" ,
"description": "VICAR Keyword property maps"
, "propertyMapEntryList": [
{"PropertyMapEntry": {
"property_name": "VICAR" ,
"property_value": "SURFACE_MODEL_PARMS.SURFACE_MODEL_TYPE" }
}
, {"PropertyMapEntry": {
"property_name": "Velocity" ,
"property_value": "$label.SURFACE_MODEL_PARMS.SURFACE_MODEL_TYPE" }
}
]
}
}
, {"PropertyMap": {
"identifier": "0001_NASA_PDS_1.pds.Property_Map.cart.Vector_Surface_Normal.cart.z_unit" ,
"title": "null" ,
"model_object_id": "0001_NASA_PDS_1.cart.Vector_Surface_Normal.cart.z_unit" ,
"model_object_type": "Attribute" ,
"instance_id": "\/\/cart:Vector_Surface_Normal\/cart:z_unit" ,
"external_namespace_id": "cart" ,
"description": "VICAR Keyword property maps"
, "propertyMapEntryList": [
{"PropertyMapEntry": {
"property_name": "VICAR" ,
"property_value": "SURFACE_MODEL_PARMS.SURFACE_NORMAL_VECTOR" }
}
, {"PropertyMapEntry": {
"property_name": "Velocity" ,
"property_value": "$label.SURFACE_MODEL_PARMS.SURFACE_NORMAL_VECTOR" }
}
]
}
}
]
}
}
]
}
}
]