17:15 〜 19:15
[PPS09-P12] 火星 Web-GIS “Red Ace”の拡張：大量処理に向けた操作性・機能性向上
キーワード：火星、CRISM、THEMIS、Red Ace
This study reports on the functional enhancements of the Web-GIS ”Red Ace [1]”, which is designed to optimize the visualization, analysis, and search of Mars observation data. The data from CRISM (Compact Reconnaissance Imaging Spectrometer for Mars) [2] and THEMIS (Thermal Emission Imaging System) [3] are installed in the system. Users can view and save the graphs of these Mars observation data in the Red Ace. The saved data can be transported to JupyterHub for detailed analysis, which has Project function that allows users to share the data and results among research groups [4].
However, the previous Red Ace system had several issues. First, login information was not linked between the Red Ace and JupyterHub, so users had to log in separately to each platform. Second, the system assumes users to process single observation data at once, so users found difficulty in dealing with multiple data. Third, it lacked functionality for saving and transferring multiple graph datasets at once. Forth, the previous version of the Red Ace did not support search function.
To address these issues, the following implementation have been achieved in this study.
First, OAuth2 [5] was used to integrate authentication between these applications, allowing users to log in only once instead of separately to each platform.
Second, the function of area search was added. Users set the search range, click on the Mars map, then they can retrieve all data within that range. We also installed approximately one thousand of CRISM datasets into the system after processing by ISIS (Integrated Software for Imagers and Spectrometers) [6].
Third, the saving and transport function was improved to handle multiple data. When transporting these data, users can now choose between their own directory or the Project directory they joined in JupyterHub. Additionally, we prepared options of data saving: "Merged" (saving all data in a single CSV file) and "Separate" (saving multiple data in separate CSV files) for use in exporting data.
Fourth, the search function was implemented. The key information to search data are quoted from USGS (U.S. Geological Survey) database [7] and installed in the Red Ace database with CRISM and THEMIS data. Users can search Mars observation data by geographical names (such as crater, mountain), place names or observation IDs and so on.
The implementation in this study has improved usability and functionality by reducing the time and effort required to use the Red Ace and JupyterHub. The new version of the Red Ace provides functions of batch acquisition, storage, and transfer of any pattern of data. It also enables users to search observation data efficiently by any combination of key information. This enhancement makes it ready to process high-volume data. In the future, we will analyze these data in detail and hope to contribute to the understanding of water environments of Mars.
[1] Matsubara, Y. et al., Development of a Mars Web- GIS “Red Ace” for viewing reflectance spectral data on Mars. American Geophysical Union Fall Meeting, 2018.
[2] CRISM (Compact Reconnaissance Imaging Spectrometer for Mars) https://science.nasa.gov/mission/mars-reconnaissance-orbiter/science-instruments/
[3] THEMIS (Thermal Emission Imaging System) https://mars.nasa.gov/odyssey/mission/instruments/themis/
[4] Usui, M. et al., Extension of the Mars Web-GIS “Red Ace”: Building an Environment for Spectral Data Analysis American Geophysical Union Fall Meeting, 2023.
[5] OAuth2 https://oauth.net/2/
[6] ISIS (Integrated Software for Imagers and Spectrometers) https://isis.astrogeology.usgs.gov/8.3.0/
[7] USGS (U.S. Geological Survey) https://planetarynames.wr.usgs.gov/AdvancedSearch
However, the previous Red Ace system had several issues. First, login information was not linked between the Red Ace and JupyterHub, so users had to log in separately to each platform. Second, the system assumes users to process single observation data at once, so users found difficulty in dealing with multiple data. Third, it lacked functionality for saving and transferring multiple graph datasets at once. Forth, the previous version of the Red Ace did not support search function.
To address these issues, the following implementation have been achieved in this study.
First, OAuth2 [5] was used to integrate authentication between these applications, allowing users to log in only once instead of separately to each platform.
Second, the function of area search was added. Users set the search range, click on the Mars map, then they can retrieve all data within that range. We also installed approximately one thousand of CRISM datasets into the system after processing by ISIS (Integrated Software for Imagers and Spectrometers) [6].
Third, the saving and transport function was improved to handle multiple data. When transporting these data, users can now choose between their own directory or the Project directory they joined in JupyterHub. Additionally, we prepared options of data saving: "Merged" (saving all data in a single CSV file) and "Separate" (saving multiple data in separate CSV files) for use in exporting data.
Fourth, the search function was implemented. The key information to search data are quoted from USGS (U.S. Geological Survey) database [7] and installed in the Red Ace database with CRISM and THEMIS data. Users can search Mars observation data by geographical names (such as crater, mountain), place names or observation IDs and so on.
The implementation in this study has improved usability and functionality by reducing the time and effort required to use the Red Ace and JupyterHub. The new version of the Red Ace provides functions of batch acquisition, storage, and transfer of any pattern of data. It also enables users to search observation data efficiently by any combination of key information. This enhancement makes it ready to process high-volume data. In the future, we will analyze these data in detail and hope to contribute to the understanding of water environments of Mars.
[1] Matsubara, Y. et al., Development of a Mars Web- GIS “Red Ace” for viewing reflectance spectral data on Mars. American Geophysical Union Fall Meeting, 2018.
[2] CRISM (Compact Reconnaissance Imaging Spectrometer for Mars) https://science.nasa.gov/mission/mars-reconnaissance-orbiter/science-instruments/
[3] THEMIS (Thermal Emission Imaging System) https://mars.nasa.gov/odyssey/mission/instruments/themis/
[4] Usui, M. et al., Extension of the Mars Web-GIS “Red Ace”: Building an Environment for Spectral Data Analysis American Geophysical Union Fall Meeting, 2023.
[5] OAuth2 https://oauth.net/2/
[6] ISIS (Integrated Software for Imagers and Spectrometers) https://isis.astrogeology.usgs.gov/8.3.0/
[7] USGS (U.S. Geological Survey) https://planetarynames.wr.usgs.gov/AdvancedSearch