Syntax highlighting of CRISM
The Compact Reconnaissance Imaging Spectrometer for Mars (CRISM) is a Visible and Near-Infrared (VNIR) imaging spectrometer onboard Mars Reconnaissance Orbiter (MRO), in orbit since 2006. It was built and tested by the Johns Hopkins University Applied Physics Laboratory under the supervision of principal investigator Scott Murchie. The observations enable to have mineralogy information of the martian surface at a spatial resolution of ~20 to ~200 m/px. <<TableOfContents()>> == Data description == The CRISM instrument has two acquisition modes: ==== The targeted mode (multiangular pointing) ==== The instrument tracks the targets and takes 11 hyperspectral images (544 bands from 362 to 3920 nm) at different emission angles due to the rotation of the detector at ± 70°: 10 hyperspectral images taken at different emission angles before and after the central image corresponding to the close nadir image (image #07). The 10 hyperspectral multi-angular observations are reduced to a factor 10 compared to the spatial resolution of the central image. According to the spatial resolution of the central image, four product types are associated to this acquisition mode. If the central image is sampled at 20 m/px, the associated product is a ''Full Resolution Targeted'' observation (FRT). By reducing the spatial resolution of the central image by a factor 2, the spatial resolution is set at 40 m/px and the associated products are ''Half Resolution Short'' (HRS) and ''Half Resolution Long'' (HRL) observations. An HRL sampled surface is twice as long as an HRS observation. Only the central image #07 is processed by MarsSI for the mineralogy identification. ATO observations are ''Along-Track Oversampled'' products resulting in incresing of the resolution up to 3 m/px. ||||||||<tablewidth=""" tablestyle="" & quot; & amp; quot; & amp; amp; quot; & amp; amp; amp; quot; & amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; quot;text-align:& amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; quot; center& amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; quot; ; 200px& amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; quot& amp; amp; amp; amp; amp; 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amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; quot; & amp; amp; amp; quot; & amp; amp; quot; & amp; quot; & quot; "">'''Types of targeted observations''' || ||<style="" & quot; & amp; quot; & amp; amp; quot; & amp; amp; amp; quot; & amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; quot;text-align:center& amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; quot; & amp; amp; amp; quot; & amp; amp; quot; & amp; quot; & quot; "">'''FRT''': 18 m/px ||<style="" & quot; & amp; quot; & amp; amp; quot; & amp; amp; amp; quot; & amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; quot;text-align:center& amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; quot; & amp; amp; amp; quot; & amp; amp; quot; & amp; quot; & quot; "">'''HRS''': 36 m/px ||<style="" & quot; & amp; quot; & amp; amp; quot; & amp; amp; amp; quot; & amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; quot;text-align:center& amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; quot; & amp; amp; amp; quot; & amp; amp; quot; & amp; quot; & quot; "">'''HRL''': 36 m/px ||<style="" & quot; & amp; quot; & amp; amp; quot; & amp; amp; amp; quot; & amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; quot;text-align:center& amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; amp; quot; & amp; amp; amp; amp; quot; & amp; amp; amp; quot; & amp; amp; quot; & amp; quot; & quot; "">'''ATO''': 3-12 m/px || || {{attachment:FRT.png||width="200"}} || {{attachment:HRS.png||width="200"}} || {{attachment:HRL.png||width="200"}} || {{attachment:ATO.png||width="200"}} || ==== The survey mode (nadir pointing) ==== This mode was designed to estimate key locations for further analysis with the targeted mode as it covers wider areas and produces lower spatial resolution data than the ''targeted ''mode. The instrument acquires multispectral images using fixed pointing where the emission angle is set at 0° (with specific bands chosen over the 544 spectral bands, in order to identify principal minerals). There are different types of observations using this acquisition mode: * ''Multispectral Survey'' (MSP): 200 m/px and 55 channels * Hyperspectral Survey (HSP): 200 m/px and 154 channels * ''Multispectral Window'' (MSW): 100 m/px == Data names == The CRISM naming convention is the following: {{{ (ClassType)(ObsID)_(Counter)_(Activity)(SensorID)_(Filetype).(EXT) }}} * `ClassType`: FRT, HRS, HRL, ATO, MSP, HSP, MSW, ... * `ObsID`: observation ID * `Counter`: image number of the ''targeted ''sequence (only the n°7 is used in MarsSI). In the ''survey ''mode, this corresponds to 1 * `Activity`: subtype of product: IF stands for reflectance data (I/F unit), DE for ancillary data (''e.g.'' latitude, longitude, incidence, emission, phase angle * `SensorID`: S detector (Short wavelenghts) or L (Long wavelenghts) * `Filetype`: type of dataset: TRR3 are calibrated data cubes, DDR1 companion data cube containing the ancillary data