\nhttp:\/\/pds-geosciences.wustl.edu\/mro\/mro-m-crism-4-speclib-v1\/mrocr_90xx\/<\/a>
\nand a web-based search interface was later implemented here: http:\/\/speclib.rsl.wustl.edu\/<\/a>.
\nThis PDS service has been replaced by the larger PDS spectral library.<\/p>\n
Virtual Observatory service<\/h2>\n
A Virtual Observatory (VO) data service has been setup to provide easier access to the CRISM spectral library content and to facilitate comparisons with observational data. In particular, this service is responsive to scripted queries on the web.<\/p>\n
Only data formatting has been changed, plus description in some particular cases: The library is presented in a table with descriptive parameters for each spectrum, extracted from the PDS labels: This data service is responsive to the EPN-TAP data access protocol, and can be queried from the VESPA portal of Solar System data: http:\/\/vespa.obspm.fr\/<\/a> and other TAP clients. A tutorial on spectral studies in the Planetary Science VO context is available here: In short:<\/strong> you first identify data of interest from a search interface, then send selected results in a visualization and analysis tool. The plotting tool of choice is CASSIS, but TOPCAT and SPLAT-VO are also convenient.<\/p>\n Searches can be performed from the VESPA portal or any TAP interface (TAPhandle, TOPCAT, etc). A specific EPN-TAP client is also installed in the CASSIS spectral tool. The main search parameters are: The VESPA portal allows the user to issue requests from a graphical interface. It will query all available data services that use the EPN-TAP standard. \u2022 The initial clause of the ADQL query is always \u2022 Simple filters on the search parameters are attached to it, e.g.: Other possible ways to search include: Queries for groups of materials can use the granule_gid parameter, which provides a rough grouping of materials on 3 items separated by underscores: – All meteorites spectra included in the database are from SNCs or are minerals extracted from meteorites<\/p>\n – Description of the SNC meteorite <\/strong>spectra are modified so that they are all identifiable with the request – Other meteorites samples<\/strong> were all tagged as minerals (extracted from meteorites, mainly troilite). They can be found with the request – Description of the lunar samples<\/strong> are modified so that they are all identifiable with the request Ex: the ADQL query to select spectra in Fig. 3 is – Mixtures of minerals<\/strong> may be difficult to retrieve \u2022 Bibliographic references are provided with the original PDS codes and are concatenated in a list of values separated by the # character. These codes refer to the original list found here: \u2022 Elementary analyses and other information are available for some samples (from J. Bishop and T. Roush only, excerpts from the papers) in this directory: \u2022 Spectral range conversion from Hz to \u00b5m goes like this: \u2022 Bulk material is indicated as grain_size_min = grain_size_max = 10000.0 \u00b5m \u2022 Viewing angles set to 0. are actually 0\u00b0 – these parameters are set to NULL when unknown.<\/p>\n \u2022 Acquisition time is set to 1\/1\/1970 when unknown (not provided in the original archive).<\/p>\n Several VO tools open the VOtable versions of the spectra for plotting and analysis. They also accept the data sent through the IVOA SAMP protocol, in particular from the VESPA portal: Both CASSIS and SPLAT-VO check the spectral quantity of input spectra. A warning is issued in CASSIS when overplotting different quantities, but this does not prevent from plotting the spectra (manual scaling is required in this case).<\/p>\n Three other databases will benefit from an EPN-TAP interface and will be available for cross searches from the VESPA portal:<\/p>\n \u2022 The SSHADE<\/strong> service (Schmitt et al., EPSC, 2015) [published]: https:\/\/www.sshade.eu<\/a> \u2022\u00a0Berlin Reflectance Spectral Library<\/strong> (Henckel et al, EPSC 2017) [draft ready]<\/p>\n \u2022 The Berlin emissivity database<\/strong> (BED) (Maturilli et al., 2008, PSS 56, 420\u2013425) [draft ready]<\/p>\n Other databases listed below are usual references, but are not interoperable in a VO context:<\/p>\n \u2022\u00a0USGS splib07a<\/strong>: \u2022\u00a0<\/strong>JPL ASTER<\/strong> \u2022\u00a0RELAB<\/strong> \/ Brown University \u2022 HOSERLab \/ Planetary Spectrophotometer Facility<\/strong>\u00a0 Winnipeg University \u2022\u00a0ASU spectral library<\/strong> (emission) Contact the helpdesk for comments: support.vespa@obspm.fr<\/a><\/p>\n _____________________<\/p>\n This data service is provided in the framework of the VESPA activity in Europlanet 2020 by Paris Astronomical Data Centre (PADC).<\/p>\n The Europlanet 2020 Research Infrastructure project has received funding from the European Union\u2019s Horizon 2020 research and innovation programme under grant agreement No 654208. Additional funding was provided in France by the Action Spe\u0301cifique Observatoire Virtuel and Programme National de Plan\u00e9tologie \/ INSU. The CRISM spectral library is a compilation of laboratory measurements of minerals, rocks, and meteorites in the visible, near-IR and mid-IR ranges. It was initially installed in support of the CRISM experiment on the Mars Reconnaissance Orbiter (MRO) mission (Murchie … Continue reading
\n– All files (2260 entries) are provided as VOtable, which can be handled in VO tools (instead of PDS3 ascii files). Occasional duplicates are not<\/em> removed.
\n– The flux scale is Reflectance factor, or REFF [= I\/F \/ cos(i) ]. The uncertainty in\u00a0wavelength is removed from these files when present.
\n\u2013 Thumbnails have been produced to provide a quick visual diagnostic in the VESPA portal and other interfaces.<\/p>\n
\n– Data description complies with the EPN-TAP protocol, with addition of extra parameters to accommodate most of the original label content.
\n– As a general rule, the original indexing and description of samples is not modified from the original PDS dataset. This leads to some inconsistencies and difficulties to locate spectra, even when querying the descriptive keywords (see below).
\n– Units are made consistent for each quantity (e.g., particle size always in \u00b5m).
\n– Some obvious formatting issues and inconsistencies are fixed both in the table and spectra.<\/p>\n
\nSee the complete data service<\/a> in VESPA (the schema name is crism_speclib).<\/p>\n
\nhttp:\/\/voparis-europlanet.obspm.fr\/utilities\/Tuto_Spectro_VESPA.pdf<\/a>
\nIn particular with the CASSIS tool:
\nhttp:\/\/voparis-europlanet.obspm.fr\/utilities\/Tuto_CASSIS_VESPA.pdf<\/a><\/p>\n![\"\"](\"https:\/\/sites.lesia.obspm.fr\/data-services\/files\/2017\/08\/comp_vesta_snc_pds_slib_Cassis-300x206.png\")
\nFig.1:<\/strong> SNC meteorites from the PDS spectral library compared with spectra of 4 Vesta from the M4ast data service, in CASSIS<\/em><\/p>\nLooking for spectra<\/h2>\n
\nQuery results are tables, with a line describing each match. The column access_url provides a link to the VOtable version of the spectrum.<\/p>\n
\n sample_classification<\/strong> – complete original classification scheme (“specimen_class_name” keyword in PDS labels),\u00a0 provided as a list of values in lower cases separated by the # character. This keyword originally did not always contain the species name; it has been completed only in some cases.
\n granule_gid<\/strong> – contains the first 3 items of the original classification scheme, in lower cases. This parameter is intended to provide high level grouping
\nsample_desc<\/strong> – free format string from the original “specimen_desc” PDS keyword, in lower cases
\n granule_uid<\/strong> = obs_id<\/strong> – original “product_id” PDS keyword when available and unique, or derived from file name otherwise.
\nfile_name<\/strong> – identical to the original PDS file name, except for the extension .xml
\n target_name<\/strong> – sample name as given by the spectrum producer, or closely derived (replaced by meteorite name when applicable), always in upper cases<\/p>\n![\"\"](\"https:\/\/sites.lesia.obspm.fr\/data-services\/files\/2017\/08\/VESPA_pds-300x176.png\")
\nFig.2:<\/strong> the CRISM spectral library in the VESPA portal (result from a global query)<\/em><\/p>\nStandard query to find a given mineral species<\/h3>\n
\nActual TAP queries can also be issued from lower-level interfaces, using the ADQL language.
\nSuch detailed queries can be performed in the ADQL Query mode of the VESPA portal, as well as from TOPCAT or TAPhandle. Beware that spectral range has to be queried in Hz (no conversion performed in this mode).<\/p>\n
\nSELECT * from crism_speclib.epn_core<\/p>\n
\nWHERE sample_classification LIKE ‘%jarosite%’
\nor
\nWHERE sample_classification LIKE ‘%olivine%’
\nHowever due to the original description of samples in the CRISM spectral library, not all spectra of interest will be retrieved this way.<\/p>\n
\nwhere sample_classification like ‘%nesosilicate%’
\n(which may include fayalite or forsterite)
\nwhere sample_desc like ‘%olivine%’
\n(although this parameter is mostly informative and not intended as a search key)<\/p>\n
\nnatural | synthetic
\nearth | moon | meteorite | from natural | mixture | multi-phase | single-phase
\nmineral | rock | unconsolidated | inorganic<\/p>\nSome special cases<\/h3>\n
\ngranule_gid=’natural_meteorite_rock’
\nor (as all EPN-TAP services should include the meteoritic type in classification)
\nsample_classification like ‘%snc%’
\nwhich both provide 23 matches
\nIn addition, the meteorite name is included in the target_name (reconstructed when it was not present)
\ntarget_name like ‘%NAKHLA%’
\nreturns 3 spectra of Nakhla samples
\nBeware that the request
\nsample_desc like ‘%mars%’
\nmostly returns synthetic Martian analogues\/simulants, rather than meteorites<\/p>\n
\ngranule_gid=’natural_meteorite_mineral’
\nThe main parameters are left unchanged (no mention of meteoritic type added in sample_classification, and target_name related to mineral) because the spectra are relative to minerals rather than specific meteorites. The information is available in sample_desc though.<\/p>\n
\ngranule_gid LIKE ‘%moon%’
\nor
\nsample_classification like ‘%moon%’
\nwhich provide 168 lunar samples identified in the PDS dataset
\nThese include rocks, soils, and some extracted minerals, which are tagged respectively as natural_moon_rock, natural_moon_unconsolidated, and natural_moon_mineral
\nThe lunar sample ID is included in the target_name in its original form, although the spelling is often inconsistent (misplaced underscores). It is not duplicated in the sample_classification parameter.<\/p>\n
\nSELECT * FROM crism_speclib.epn_core WHERE granule_gid LIKE ‘%moon%’ and sample_desc LIKE ‘%apollo 17%’ and spectral_range_min < 23000000000000<\/p>\n
\nA correct request according to the PDS dataset documentation is
\nsample_classification like ‘%multi-phase%’
\nwhich returns 246 results
\nHowever, other mixtures (tagged as earth#mineral) are found when requesting, e.g.:
\nsample_desc LIKE ‘%mixture%’
\nor
\nsample_desc LIKE ‘%px%’
\nor
\ngranule_gid =’synthetic_from natural_inorganic’<\/p>\n![\"\"](\"https:\/\/sites.lesia.obspm.fr\/data-services\/files\/2017\/08\/Apollo17_longwvl_SPLAT-300x221.png\")
\nFig.3:<\/strong>\u00a0 24 Apollo 17 samples encompassing the mid-IR range, displayed in SPLAT-VO <\/em><\/p>\nExtra information<\/h3>\n
\nhttp:\/\/pds-geosciences.wustl.edu\/mro\/mro-m-crism-4-speclib-v1\/mrocr_90xx\/catalog\/ref.cat<\/a><\/p>\n
\nhttp:\/\/pds-geosciences.wustl.edu\/mro\/mro-m-crism-4-speclib-v1\/mrocr_90xx\/extras\/<\/a><\/p>\n
\n– min_wvl = 2.99792458E14 \/ max_freq
\n– max_wvl = 2.99792458E14 \/ min_freq<\/p>\n
\n(other encoding may be used occasionally, e.g. grain_size_max = 8888 in Bishop spectra is maintained)
\ngrain_size_max = 0 means that no granulometry was originally provided.
\nBeware that grain size may be inaccurate due to incorrect conversion when deriving the PDS dataset from original sources – in which case they can’t be recovered from the available information.<\/p>\nSending spectra to VO tools<\/h2>\n
\n\u2022 CASSIS accepts files passed via SAMP as spectra only
\n\u2022 SPLAT-VO accepts files passed via SAMP either as spectra or tables
\n\u2022 TOPCAT accepts files passed via SAMP as tables only<\/p>\nOther major libraries of mineral spectra<\/h2>\n
\nincluding in particular the older GhoSST<\/strong> database (Schmitt et al. 2012, EPSC2012\u2013960): Ghosst.osug.fr<\/a><\/p>\n
\nhttps:\/\/crustal.usgs.gov\/speclab\/QueryAll07a.php<\/a>
\n~2500 spectra with convolved and over-sampled versions, software, etc (Kokaly et al. 2017, USGS TR 1035)<\/p>\n
\n https:\/\/speclib.jpl.nasa.gov\/<\/a>
\nIncludes ASTER 2.0 (Baldridge et al 2009, Remote Sensing of Environment 113, 771\u2013715)
\n+ Johns Hopkins University Spectral Library (spectra from Salisbury et al. 1991, Infrared (2.1-25 \u03bcm) spectra of minerals)
\n+ JPL Spectral Library (spectra from Grove et al 1992, TR JPL-Publ-92-2)
\ntotal of ~\u00a02500 spectra, including meteorites, lunar samples, water<\/p>\n
\nA very large, historical archive of mineral spectra (Pieters et al 1983, JGR 88, 9534\u20139544)
\nThis dataset is included in: https:\/\/pds-speclib.rsl.wustl.edu\/search.aspx<\/a>
\nThe catalogue is available here: http:\/\/www.planetary.brown.edu\/relabdata\/catalogues\/Spectra_Catalogue.txt<\/a>
\nInstructions for use: http:\/\/www.planetary.brown.edu\/relabdata\/ReadMeFirst.txt<\/a><\/p>\n
\nLarge archive of minerals in form of xls files. Includes data from other facilities, in particular RELAB (Cloutis et al 2006, LPSC abs2121; Cloutis et al 2015, LPSC abs1187))
\nAccess to data files: http:\/\/psf.uwinnipeg.ca\/Sample_Database\/<\/a>
\nDocumentation: http:\/\/psf.uwinnipeg.ca\/Samples_Directory\/<\/a><\/p>\n
\nhttp:\/\/speclib.asu.edu\/<\/a>
\n(Christensen et al 2000, JGR 105, 9735\u20139740)<\/p>\n![\"\"](\"https:\/\/sites.lesia.obspm.fr\/data-services\/files\/2017\/08\/logo_europlanet_0-300x136.jpg\"){kind=logo}
![\"\"](\"https:\/\/sites.lesia.obspm.fr\/data-services\/files\/2017\/08\/PADCpt-300x175.png\")
\u00a0 \u00a0 ![\"\"](\"https:\/\/sites.lesia.obspm.fr\/data-services\/files\/2017\/08\/VES.png\")
<\/p>\n","protected":false},"excerpt":{"rendered":"