Bundle Information
IDENTIFIER urn:nasa:pds:mars_mro_ctx_globalmosaicv01_murraylab_2023::1.0
NAME Mars MRO CTX Global Mosaic Murray Lab v1
TYPE Archive
DESCRIPTION The V01 release of the Global CTX Mosaic, by Caltech's Murray Lab, is comprised of 86,571 separate images acquired between 2006 and 2020. Overlapping images were registered to each other (semi-controlled) before blending. The final CTX mosaic covers > 99.5% of the surface of Mars between 88°S and 88°N. We emphasize transparency both in how the mosaic was generated and for users to understand where data in the mosaic come from. We have developed a Python-based pipeline that incorporates non-destructive image processing techniques that preserve all information about the original data that comprise the mosaic and map all seams. This connects the mosaic directly with its original data, ensures that blending artifacts are not mistaken for landforms and geologic contacts, and provides instant access to the raw data that comprise the mosaic. Unzipped and uncompressed, the entire mosaic is about 10TB.
SEARCH/ACCESS DATA Mars MRO CTX Global Mosaic Murray Lab v1 Online
   
Citation
DIGITAL OBJECT IDENTIFIER (DOI) 10.17189/m23v-ae12
AUTHOR LIST Dickson, James; Ehlmann, Bethany; Kerber, Laura; Fassett, Caleb
EDITOR LIST
PUBLICATION YEAR 2023
DESCRIPTION The V01 release of the Global CTX Mosaic, by Caltech's Murray Lab, is comprised of 86,571 separate images acquired between 2006 and 2020. Overlapping images were registered to each other (semi-controlled) before blending. The final CTX mosaic covers > 99.5% of the surface of Mars between 88°S and 88°N. We emphasize transparency both in how the mosaic was generated and for users to understand where data in the mosaic come from. We have developed a Python-based pipeline that incorporates non-destructive image processing techniques that preserve all information about the original data that comprise the mosaic and map all seams. This connects the mosaic directly with its original data, ensures that blending artifacts are not mistaken for landforms and geologic contacts, and provides instant access to the raw data that comprise the mosaic. Unzipped and uncompressed, the entire mosaic is about 10TB.
   
Context
START DATE TIME 1965-01-01T12:00:00.000Z
STOP DATE TIME N/A (ongoing)
LOCAL MEAN SOLAR TIME
LOCAL TRUE SOLAR TIME
SOLAR LONGITUDE
PRIMARY RESULT PURPOSE SCIENCE
PRIMARY RESULT PROCESSING LEVEL Derived
PRIMARY RESULT DESCRIPTION Image mosaics of planetary surfaces are essential for both engineering and scientific tasks. A community focus has been aimed at maximizing the engineering value of mosaics, including adoption of the term "foundational" to describe the role mosaics play as datasets upon which other products can be reliably placed. Less work has been done to increase the intrinsic scientific value of image mosaics themselves, of particular importance for CTX, which provides the highest-resolution coverage of > 90% of the surface of Mars.
PRIMARY RESULT WAVELENGTH RANGE
PRIMARY RESULT DOMAIN
PRIMARY RESULT DISCIPLINE NAME
INVESTIGATION MARS RECONNAISSANCE ORBITER
MARS RECONNAISSANCE ORBITER CONTEXT CAMERA (CTX)
OBSERVING SYSTEM
OBSERVING SYSTEM COMPONENT Context Camera
TARGET MARS
REFERENCES Dickson, J. L. ; Ehlmann, B. L. ; Kerber, L. H. ; Fassett, C. I., 2023, Release of the Global CTX Mosaic of Mars: An Experiment in Information-Preserving Image Data Processing, 54th Lunar and Planetary Science Conference, LPI Contribution No. 2806.

Malin, M., MRO Context Camera Experiment Data Record Level 0 V1.0, MRO-M-CTX-2-EDR-L0-V1.0, NASA Planetary Data System, https://doi.org/10.17189/1520266, 2007.
   
Collections
DATA COLLECTION Mars MRO CTX Global Mosaic Murray Lab v1
DOCUMENT COLLECTION Mars MRO CTX Global Mosaic Murray Lab v1
BROWSE COLLECTION Mars MRO CTX Global Mosaic Murray Lab v1