Recent Releases of PDR
PDR - v1.3.0
Added
Features
Data.dump_browse()andData.show()now take an optionalslice_axiskeyword argument which controls which axis of a 3-D image arrayDatatreats as the 'band' or 'channel' axis
Dataset Support
- MGS MOLA PEDR (a special case fixes non-standard STRUCTURE pointer names and 'ROWS = "UNK"' from the labels)
- LRO LAMP EDR and most RDR table/image pointers
- additional IUE images
- Apollo Lunar Sample Photographs
Other
- Our JOSS paper was accepted for publication! :tada: A pdf of our JOSS publication is included in the documentation. This is now our preferred citation. A CITATION.cff file is now included in the repo.
Changed
- DESCRIPTION pointers will now be deduplicated and print with indexes in the keys list (e.g. DESCRIPTION0, DESCRIPTION1, etc.). No warning will be triggered.
- Unit tests have been moved inside the pdr/ folder and will now be packaged and shipped with pdr
- Previously only pointers named exactly "^STRUCTURE" or "^PDSOBJECT" skipped deduplication. Now all pointers with "STRUCTURE" in the name skip deduplication, and all pointers with "PDSOBJECT" in the name get ignored.
- vendored
pdr.vaxmodule removed in favor of using SETI'srms-vax(successor package to that vendored module) pdr.pilutilsrenamed topdr.pil_utilsfor consistencyData.get_scaledand functions that use it (likeData.dump_browse) now also mask nonfinite values (inf, -inf, and nan)pdrno longer greedily heads files when looking for PVL labels- Added a
check_special_block()call toData.get_scaled
Fixed
- updated docs/LICENSE.md to match LICENSE.md
pillow'sDecompressionBombErrornow fully suppressed when reading desktop format images in primary mode
Removed
pdrignores all PDS3 pointers containing the string "PDS_OBJECT".Datapreviously returned a TBD message on attempts to access objects associated with these pointers. We have determined that these pointers were markers for internal software tools and do not refer to unique data objects.- The text of our JOSS paper publication on pdr has been removed from
joss_paper/paper.md. Please refer instead to the pdf underdocs/pdr_joss_paper.pdf - A warning is no longer raised for out-of-bounds values on converting to 8-bit for browsification
Full Changelog: https://github.com/MillionConcepts/pdr/compare/v1.2.3...v1.3.0
Scientific Software - Peer-reviewed
- Python
Published by Sierra-MC over 1 year ago
PDR - v1.2.3
Changed
- Consolidated optional 'browsify' and 'desktop_image' dependencies into simply 'pillow'.
- Any attempt to use functionality that requires an optional dependency now raises
a
ModuleNotFoundErrornaming the required module.- To support this,
astropyobjects are now always imported throughloaders.astrowrap.
- To support this,
- Updates to documentation to include instructions for pip users, etc.
Fixed
docs/index.mdupdated to reflect the same content as README.md
Removed
- Experimental
save_sparklines()function inpdr.browsify, and along with it, the optional matplotlib dependency. - Unnecessary full
matplotlibdependency for Notebook use.
Full Changelog: https://github.com/MillionConcepts/pdr/compare/v1.2.2...v1.2.3
Scientific Software - Peer-reviewed
- Python
Published by Sierra-MC over 1 year ago
PDR - v1.2.2
Added
Features
- Support for 'desktop' image formats in primary mode: JPEG, TIFF, GIF
(still and animated), PNG, MPO/MPF, WebP (still and animated), JPEG2000/JP2,
and BMP. Behavior is as follows:
pdrwill attempt to parse all EXIF, TIFF tag, and MPO metadata, including embedded XML packets. Parsed metadata is available inData.metadataand accessible withData.metaget()and related methods.- Some basic image information is also available in
Data.metadata(format, color mode, dimensions, MIME type, etc.) - Most files will have a single data object named 'IMAGE'.
- Animated GIF and WebP images will have one data object per frame, named 'FRAME0', 'FRAME1', etc.
- MPO/MPF files (this includes many files with .jpg and .jpeg extensions) will have one data object per image. The MPO primary image is named 'IMAGE'. Subsequent images are assigned names based on their MPType and index within the file.
- PDR automatically converts palette-mode images (like many GIFs) to 3D RGB
arrays on load. In these cases, mappings between RGB values and original
palette indices are available with
data.metaget('palette'). - GeoTiffs work like other TIFF files.
pdrnaively parses the GeoTiff metadata, but does not construct a CRS or otherwise derive projection information. - Note that some of PDR's convenience features like
Data.show()do not work well with images that rely on transparency.
Dataset Support
- additional Cassini ISS calibration images
- MRO HiRISE RDRs and additional DTM images (were notionally supported, now have official support)
Other
- The text of our JOSS paper publication on pdr is now included under
joss_paper/paper.md. It will be moved todocs/paper.mdin next release. - Clarifying comments were added to the supported_datasets documentation regarding spice files
- Community guidelines including a code of conduct and contribution guidelines have been added to the readme and docs folder
Changed
Data.dump_browse()and.show()no longer apply default contrast enhancement if it would result in an image with only one value. Explicitly passing theimage_clipargument will override this, if for some reason you want to.- Levenshtein dependency is now optional. Users installing via pip will need to use the "fuzzy" option.
tiffoptional-dependency feature in has been changed todesktop_imagefor pip users to better fit with new features in this version
Fixed
Data.dump_browse()now works correctly with FITS files opened in primary mode.
Removed
CHANGELOG.mdwas removed in preference of solelydocs/version_history.md- Binder demo of example notebook due to issues with Binder servers.
Full Changelog: https://github.com/MillionConcepts/pdr/compare/v1.2.1...v1.2.2
Scientific Software - Peer-reviewed
- Python
Published by Sierra-MC over 1 year ago
PDR - v1.2.1
Added
Features
- Full compatibility with numpy 2.0 for pds4 products (pds3 products already compatible in last release)
Changed
pds4_toolsis now vendored withinpdrto apply changes for numpy 2.0 compatibility and avoid hot patches
Removed
pds4_toolsdependency_patchesmodule
Full Changelog: https://github.com/MillionConcepts/pdr/compare/v1.2.0...v1.2.1
Scientific Software - Peer-reviewed
- Python
Published by Sierra-MC over 1 year ago
PDR - v1.2.0
Added
Features
- Compatibility with numpy 2.0 for pds3 products and fits pds4 products (non-fits PDS4 product numpy 2.0 compatibility awaits changes in
pds4_toolsdependency) - Support for VAX_REAL data types in qubes
pdr.Data.__contains__method see issue #57- Unit tests are now backed by
pytestfixtures for improved flexibility and compatibility - ROWPREFIXBYTES are now accounted for when calculating offset positions
Dataset Support
- Galileo NIMS qubes
- MSL
- EMS EDRs and RDRs
- additional navcam and hazcam RDRs
- Rosetta
- CONSERT
- ALICE supplementary tables
- MIDAS RDRs
- additional COSIMA tables
- LASP Mars datasets
- Venus Express (VEX)
- Phoenix
- ASE EDRs, RDS
- Telltale Experiment (TT) products
- Atmospheric Opacity (AO) products
- TEGA LED EDRs and SC RDRs
- MGN RSS solar wind experiment
- MGS RSS solar conjunction data
- MEX VMC EDRs and RDRs
- Mariner 10 MAG, PLS, and POS products
- WFF/ATM derived DEM images
- Misc additional products from:
- Cassini RPWS, MIMI, and ISS
- Galileo Probe, MAG, SSI
- IHW
- ground-based datasets at SBN and ATM
- Stardust
- LRO Mini-RF
- NEAR NLR
- ICE
- Juno JADE
- Pioneer Venus Orbiter OMAG
- Vega
- Voyager LECP
- MEX PFS and MARSIS
- MER navcam/hazcam/pancam RDRs
Other
- (GitHub-specific) CI for unit tests / coverage reports
Changed
- PDR now associates FITS HDUs with PDS data objects by matching byte ranges as described in PDS labels to HDU byte ranges as described in their FITS headers, rather than by performing fuzzy string match between HDU names and PDS object names
- PDS4 FITS files are now opened using
astropy.io.fitson the backend instead ofpds4_tools, mirroring the PDS3 FITS behavior - Non-filled-out FITS cards are represented as None, rather than special astropy objects without stable byte representations
- Assorted backend refactoring, linting, and minor improvements
- Unit tests no longer unnecessarily write to the source tree
- All string objects loaded directly from products by
Data('DESCRIPTION', 'LABEL', etc.) canonicalize line endings to \n
Fixed
- More compatibility fixes for Python 3.9, mostly related to type annotations
- Improved reliability of associating compressed files with filenames that imply uncompressed files (and vice versa)
- Addressed some cases in which PDR wasn't accurately determining lengths for HEADER objects
- HISTOGRAMIMAGE objects will now be read as images instead of attempting to be read as tables. (IMAGEHISTOGRAMS will still be read as tables)
- setup.py also correctly pins
numpy < 2.0.0 - The hotpatch for
pds4-toolsPython 3.12 incompatibility no longer has persistent side effects; for instance,condawill no longer complain about checksum mismatches. - Bug reading PDS4-labeled FITS files
Removed
pdr.Data.__iter__method is being deprecated see issue #57pdr.Data.__getitem__method is being deprecated see issue #57
Full Changelog: https://github.com/MillionConcepts/pdr/compare/v1.1.2...v1.2.0
Scientific Software - Peer-reviewed
- Python
Published by Sierra-MC over 1 year ago
PDR - v1.1.2
[1.1.2] - 2024-06-18
Changed
- Pinned numpy version to less than 2.0 until compatibility issues with new release are resolved.
Full Changelog: https://github.com/MillionConcepts/pdr/compare/v1.1.1...v1.1.2
Scientific Software - Peer-reviewed
- Python
Published by Sierra-MC over 1 year ago
PDR - v1.1.1
[1.1.1] - 2024-06-14
Fixed
- Bugfix for compatibility for Python 3.9 by adding two features of Python 3.10.
- pdr.py: if inspect.get_annotations is not available, use a fallback implementation (incomplete, but works for the case we care about).
- pdrtypes.py: if typing.TypeAlias is not available, define it by hand.
Full Changelog: https://github.com/MillionConcepts/pdr/compare/v1.1.0...v1.1.1
Scientific Software - Peer-reviewed
- Python
Published by Sierra-MC over 1 year ago
PDR - v1.1.0
[1.1.0] - 2024-05-21
Added
Features
- Support for 4 byte VAX_REAL Tables
- Ability to modify Metadata objects and have changes propagate to loaded data. Suggested feature in issue #55
``` Example Usage: Display an BSQ RGB image as a vertical image with each channel split into a row
data.metadata['IMAGE']['LINES'] = (
data.metadata['IMAGE']['BANDS'] * data.metadata['IMAGE']['LINES']
)
data.metadata['IMAGE']['BANDS'] = 1
data.load_metadata_changes()
data.load('IMAGE', reload=True)
data.show('IMAGE')
``
If the image was not loaded before the metadata change, thereload=True`
argument is unnecessary.
Dataset Support
- Cassini UVIS EUV, FUV
- Voyager IRIS full-res spectral observations
- GRSFE AVIRIS and TIMS tables
- all GRSFE TABLEHEADER and SPECTRUMHEADER pointers
- Affected datasets: AVIRIS and TIMS tables, PARABOLA, and wind experiment
Changed
- Updated several unit tests based on the Metadata changes
Fixed
- Bug which prevented reading of single band images with an interleave key if the interleave was BIL and the image had prefix/suffix. Resolves issue #55
- Bug in which some pds4 data objects were not being successfully cast from PDS4tools arrays to numpy arrays
- Bug in which padding bytes before top level containers in ASCII tables not
described by a column in the label were not being respected. See below for
description of this type of label writing practice.
michael: yeah. the problem is that this isn't actually wrong, it's just depraved. it violates only the spirit of the law
Scientific Software - Peer-reviewed
- Python
Published by Sierra-MC almost 2 years ago
PDR - v1.0.7
[1.0.7] - 2024-04-23
Added
Features
pdr.fastread(), a convenience function for opening a product without checking for a detached label. This function only works if you point it at the file that contains the product's label (attached or detached). Improves speed on slow filesystems or for large numbers of products, particularly when you are only interested in their metadata or the data objects you want to load from them are small.
Dataset Support
- MEX SPICAM and MRS datasets
- Comet D/Shoemaker-Levy 9/Jupiter Impact Observing Campaign datasets
- see supported_datasets.md for details
Other
- Lots of docstrings, type hinting, and other in-code documentation
- Additional shared types to support static analysis and code readability
pdr-tests-compatible annotations for special cases
Changed
- Assorted code refactoring, linting, and minor backend improvements
- Substantial performance increases for wide tables with many repeated items
- Modified some special cases for pandas 2.2.x compatibility
Fixed
- A bug in PDS4 label handling that sometimes dropped repeated child elements
- An accidentally-skipped out-of-date unit test for DSV tables
- Slow imports are again delayed until needed
Removed
- Unused numpy-based ASCII table parser
Scientific Software - Peer-reviewed
- Python
Published by Sierra-MC almost 2 years ago
PDR - v1.0.6
Added
Features
Datanow directly affords afind_special_constants()method
Dataset Support
- most IHW datasets
- additional Voyager 1 and 2 datasets
- GRSFE and WFF/ATM datasets
- LOIRP dataset
- additional MSL, Apollo, and Mariner datasets
- additional Earth-based lunar data
- Viking Lander datasets
- Mars Odyssey DAN and SAM data
- MEX ASPERA, HRSC, SRC, and PFS data
- most Phoenix TEGA, ELEC, and WCL products
- see supported_datasets.md for details
Changed
- Assorted type-hinting and other in-code documentation improved.
- Behavior for character stripping in string columns of ASCII tables was inconsistent. To increase usability, string columns of ASCII tables now discard preceding and trailing spaces, commas, newlines, and double-quotes (regardless of strict label specification).
- Generally improved performance on table reading
Fixed
- Incorrect column bounds due to unusual prefix/suffix/infix specifications in some ASCII tables
- Incorrect column bounds due to container padding in some tables
- FITS HDUs with non-printable characters in header cards will now load, discarding any such cards from the header (unless the cards are required, e.g. NAXIS1). Resolves issue #52
Scientific Software - Peer-reviewed
- Python
Published by Sierra-MC almost 2 years ago
PDR - v1.0.5
[1.0.5] - 2023-12-07
Added
Features
- doc strings for API on readthedocs
- Error tracking features that were accidentally deleted from the last version were re-added #### Dataset Support
- most Voyager 1 and 2 datasets
- additional MGS datasets (MAG/ER, RSS EDS, MOC)
- Mariner 9 datasets
- Pioneer 10 and 11 GTT RDRs
- Sakigake, Suisei, and SOHO datasets
- ICE and IUE datasets
- see supported_datasets.md for details.
Fixed
- Tables with containers with REPETITIONS in them were reading the same data each repetition, this has been fixed
- Exponential notation in pvl quantity objects are now properly handled (Fixes issue #53)
Removed
- MRO MCS DDR data is not supported due to formatting issues
Full Changelog: https://github.com/MillionConcepts/pdr/compare/v1.0.4...v1.0.5
Scientific Software - Peer-reviewed
- Python
Published by Sierra-MC about 2 years ago
PDR - v1.0.4
[1.0.4] - 2023-10-23
Added
Features
- support for GIF files referenced as PDS3 objects
- improved verbosity of some file-not-found error messages
Dataset Support
- MER 1 and 2
- Ulysses
- see supported_datasets.md for details.
Changed
- updated install specifications
- added hotpatch to address
pds4-toolsPython 3.12 incompatibility, to be removed followingpds4-tools1.4 release
Fixed
- correctly interpret PVL non-decimal integer representations as
int(non_decimal_integer, base=int(radix)). e.g.,pdrwill now interpret the PVL statement:
"SAMPLE_BIT_MASK = 2#1111111111111111#"
as a metadata item with key "SAMPLEBITMASK" and value 65535.
Please note that the bit masks are not applied programmatically because we don't believe
their meanings are consistent across the corpus of planetary data. However, users are
encouraged to explore their use within their own work and enjoy the glories of the Python `&` operator.
An example for how to apply a bit mask using the `&` bitwise operator:
```
data = pdr.read('/path/to/file.img')
masked = data.IMAGE & data.metaget('SAMPLE_BIT_MASK')
```
Alternatively, if you're using this value for something for which you'd prefer to have the original PVL
value, use the `bin`, `oct`, or `hex` packages for base 2, 8, or 16 respectively to convert the value
back from an integer.
(Resolves issue #51)
- correctly interpret PVL Sequences and Sets of Unquoted Strings as
tuple[str] or set[str] respectively
- fix some cases in which PVL End Statements were incorrectly interpreted
as parameters with empty-string values
Scientific Software - Peer-reviewed
- Python
Published by Sierra-MC over 2 years ago
PDR - v1.0.3
Added
Features
- FITS files can now be opened 'directly' (without a PDS label). See README.md for more detailed usage.
- 1d, non-structured ARRAY objects are now compatible with
dump_browse - support for ARRAY objects with nested ARRAY or COLLECTION objects
pytest-compatible unit test suite intended to complement our comprehensive regression test framework
Dataset Support
- most New Horizons datasets
- Venera 15 and 16 derived data
- Giotto PIA and VEGA 1/2 Puma_mode data
- Venus Climate Orbiter data
- Saturn Ring Plane Crossings (RPX) 1995-1996 data
- most Phoenix datasets
- Deep Impact and EPOXI data
- Mars Pathfinder data
- several MRO datasets including HiRISE EDRs, MCS, MARCI, and CTX
- see supported_datasets.md for details.
Changed
- Debug-mode error tracking is substantially more detailed
- Debug-mode error logs are now written as JSON
- Assorted backend refactoring, cleanup, error checks, and in-code documentation
Fixed
- Fixed incorrect PDS3 object -> FITS HDU mapping for several data types
- scaling/offset defined in FITS tables (BSCALE/BZERO) is now applied correctly to output
DataFrames - 8-byte integers found in some nonstandard binary files are now handled correctly
- more consistent handling of long / malformatted PVL comments
- improved handling of 'stub' primary FITS HDUs
Scientific Software - Peer-reviewed
- Python
Published by Sierra-MC over 2 years ago
PDR - v1.0.2
Added
- Support for Rosetta ALICE EDR, RDR, and REFDR data
- Support for several Galileo datasets
- Support for sample interleaved (BIP) images, including:
- Support for DAWN VIR EDR and RDR cube products
- Support for Rosetta VIRTIS EDRs
- Support for Deep Space 1, NEAR, Stardust, and Stardust-NExT datasets
- Support for VAX_REAL image products, including Pioneer Venus radar and IMIDR images
- Support for IBM_REAL and EBCIDC data types, including Pioneer Venus SEDR
- Support for LRO CRaTER EDR secondary science and housekeeping tables
- Support for several Mars Odyssey datasets
- Support for several Vega datasets
- Support for FITS tables
- Documentation on behavior of FITS files (in README)
Changed
- Tables/Series objects will now apply label provided offset and scaling factors. This has not yet been implemented for ARRAY objects or BIT COLUMNS
- The license has been updated to reflect the additional license from the vendoring of vax.py
Fixed
- Tables with nested containers now read correctly; closes issue 50)
- ^STRUCTURE pointers inside a COLUMN/FIELD will now load in the relevant format file
Removed
- No longer get a UserWarning when a data type has spaces in bit column data type
Scientific Software - Peer-reviewed
- Python
Published by Sierra-MC over 2 years ago
PDR - v1.0.0
This release represents a major refactoring effort to reduce technical debt and decrease workflow complexity.
The fundamental way end users interact with the main pdr.read() interface has not changed.
Added
- error/workflow tracking for all loaders. Errors can be accessed using
data.loaders["OBJECT_NAME"].errors.
Tracking files will now generate in a.tracker_logsfolder in thepdrrepo. They show which functions have been hit by a particular call ofpdrand if those functions were successful. - handling for a wider array of ISIS-style "qube" data and metadata, including side/back/bottom/topplanes (as long as they are along only one image axis)
- support for (most) THEMIS qube products
- TODO for cassini XDR image scaling functionality
- support for additional LRO datasets: CRaTER, LAMP, LEND, LOLA, Mini-RF, and Radio Science
- support for several Venusian datasets including: Magellan GVDR, Pioneer Venus, "Pre-Magellan" products at the GEO node, and Earth-based radar observations.
- support for several Lunar datasets including: GRAIL, Lunar Prospector, MSX, Kaguya/Selene, and Earth-based radar and spectroscopy data.
Changed
- reworked fundamental data loading workflow.
Dataclass no longer contains all the loader functions, they've been refactored in theloadersmodule. formats.core.pynow only contains special case checking functions and is renamed toformats.checkers.py. Other functions that were previously in it (likepointer_to_loaderandgeneric_image_properties) have moved to theloadersmodule- changes to various special cases based on the data loading workflow refactor
- reworked image-loading flow for better handling of various band storage types and pre/suffixes
- BIL images now retain original byteorder
- reworked cassini xdr special case for compatibility
Fixed
- discovered some rosetta VIRTIS and cassini UVIS product types were not actually reading correctly, marked them out of support
Removed
- m3 special case module (deprecated by new image-loading flow)
- messenger special case module (deprecated by new data loading workflow)
- rasterio loading options for image data
check_special_casehas been removed and the special cases have been moved to functions that more specifically targeted to the issues of the particular dataset rather than overriding the entire workflow.
Scientific Software - Peer-reviewed
- Python
Published by Sierra-MC over 2 years ago
PDR - v0.7.5
Added
- support for a variety of Magellan data (see supported_datasets.md for specifics)
Changed
- sample types are now more permissive and allow spaces
- line endings are less strict and allow between 0-2 carriage returns
Fixed
- HiRISE EDRs are now only listed as notionally supported (rather than known unsupported and notionally supported)
Removed
- special case for mgs-rss data with IEEE REAL sample types (now supported in core functionality)
Scientific Software - Peer-reviewed
- Python
Published by Sierra-MC almost 3 years ago
PDR - v0.7.4
Added
- support for a variety of LRO Diviner, Cassini, and Huygens data products
(see supported_datasets.md for specifics) - This change log file
- Support for bit columns with ITEMS
- Browse images can now be output in grayscale
- handling for COMPRESSED_FILE objects
Changed
- pdr will now accept non-UTF-8 characters in detached PVL label / format files
- refactored special case checking for readability/maintainability
- assorted linting and in-code documentation edits
- labels will by default read in up to 1 MB of the file (previously 500 bytes). If you're trying to get faster performance for shorter attached labels en masse, pass the new --pvl_limit parameter. If you're not running large numbers of attached label files in sequence this is largely irrelevant.
Fixed
- label comments that are left unclosed by the data providers no longer prevent reading in the data
- group offset computations by offset not start byte (allows opening of Juno Jane V04 products, closes issue 43)
- bit columns are now split based on both startbit and number of bits rather than simply startbit (this fixed a number of previously incorrectly read files, and mirrors handling for other column types)
dump_browsenow properly accepts thefloat_dtypeargument; reducing bit depth can significantly reduce memory use when browsifying large arrays- malformed labels with extra end-block statements no longer crash
BlockParser - JUNO JIRAM RDR special case now covers tables as well as images
- HEADER objects in compressed files now load properly
- DATASETMAPPROJECTIONCATALOGS no longer go to read_header (which does not work on them)
Removed
- special-case handling for COMPRESSED_FILEs
- support for MSL CCAM LIBS EDRs
Scientific Software - Peer-reviewed
- Python
Published by Sierra-MC almost 3 years ago
PDR - v0.7.3
- Browse product improvements:
- Tables with a single row of data will now output as a column for their .csv browse products to increase readability
- Browse images can be specified to output in formats other than .jpg
- Newly supported:
- ARRAY pointers are now supported
- FITS headers are now supported. If a pointer with HEADER in it points to a FITS file it will return that header. If there is a pointer without HEADER in it that points to the FITS file then after loading that key, an additional key will appear in the format: `{key}HEADER` that will contain the FITS header._
- .jp2 files are now supported
- Many new data types from missions such as MGS, Clementine, Rosetta, and more (see supported_datasets.md for specifics)
- Supported_datasets.md is now alphabetically organized by mission name to more easily search.
- Various optimizations and bug fixes (really a whole lot of them)!
Scientific Software - Peer-reviewed
- Python
Published by Sierra-MC about 3 years ago
PDR - v0.7.2
Added better search functionality for format files (description of behavior/usage can be found here: https://github.com/MillionConcepts/pdr/issues/36#issuecomment-1276764335)
Accelerated bit handling (files with bit columns will now be processed faster).
A pretty printer for label metadata is now available. (Use print(data.metadata) to see the nicely formatted label information)
Image data with different scales and offsets for each band can now be used with the browse products created by get_scaled.
Improvements for the position of column breaks in ASCII tables. Tables that were previously breaking the columns incorrectly will now behave correctly.
Support was added for several Juno datasets (see supported_datasets.md for specifics).
.jp2 files will not open with this release (full support planned for next release)
Scientific Software - Peer-reviewed
- Python
Published by Sierra-MC over 3 years ago