11:00 AM - 1:00 PM
[MGI35-P03] Extensions of the Mars Web-GIS Red Ace: Adding New Environments for Observational Data Analyses
Keywords:Mars, Web-GIS, Spectral data, Minerals
Spectral data is indispensable for investigating the surface environment of Mars. Minerals have unique spectral features, with each type having its own characteristic absorption band. A large amount of Mars observation data, including spectral data, are released for free on the public domain. The Mars Web-GIS “Red Ace” [1] was developed to enable researchers to investigate and analyze Mars observation data intuitively and efficiently because it takes a lot of time and effort to examine various kinds of data.
Red Ace [1] is a tool for visualizing Martian spectral cube data from the two instruments: THEMIS [2] and CRISM [3]. Layers of the observation footprints of the above two instruments are displayed on the Mars base map. By clicking on the footprints, users can see and examine the observation data of the spots (e.g., viewing band images and plotting spectra). Red Ace uses Django as its web framework [4] and adds some auxiliary features to prepare for analysis, such as collecting spectral data and sharing them [5]. However, since no analysis function have been implemented in Red Ace, users need to download the data and perform the analysis in other tools.
This research focuses on extensions of Red Ace for efficient analysis of the Mars VIS-NIR spectra. The following four things were done: (1) construction of the Red Ace execution environment, (2) introduction of "JupyterLab" as an analysis environment, (3) implementation of spectral basic analysis functions of the 3 kinds, and (4) addition of CRISM data obtained after 2008.
We incorporated the service Django that was independent and the new service JupyterLab into Docker Compose, which manages application services. This enabled Red Ace developers to easily build the execution environment. The user is now free to perform analysis in JupyterLab, and can also perform simple basic processing using the basic spectral analysis functions in the extended Red Ace. We created three spectral basic analysis functions: normalization, moving average, and stacking. In addition to these basic analysis functions provided, users can freely introduce other functions and combine them. The extension of Red Ace in this study helps the users to investigate and collect observational spectra on Mars and perform analysis of those data efficiently.
[1] Matsubara, Y. et al., A Mars Web-GIS “Red Ace” for viewing reflectance spectral data, American Geophys. Union, Fall Meeting 2018, abst. #IN33E-0896.
[2] mars.nasa.gov, THEMIS, Available: https://mars.nasa.gov/odyssey/mission/instruments/themis/ .
[3] mars.nasa.gov, CRISM, Available: https://mars.nasa.gov/mro/mission/instruments/crism/ .
[4] Hayashi, Y. (unpublished work, personal contribution)
[5] Fukuchi H. et al. (2020), UoA, MT.
Red Ace [1] is a tool for visualizing Martian spectral cube data from the two instruments: THEMIS [2] and CRISM [3]. Layers of the observation footprints of the above two instruments are displayed on the Mars base map. By clicking on the footprints, users can see and examine the observation data of the spots (e.g., viewing band images and plotting spectra). Red Ace uses Django as its web framework [4] and adds some auxiliary features to prepare for analysis, such as collecting spectral data and sharing them [5]. However, since no analysis function have been implemented in Red Ace, users need to download the data and perform the analysis in other tools.
This research focuses on extensions of Red Ace for efficient analysis of the Mars VIS-NIR spectra. The following four things were done: (1) construction of the Red Ace execution environment, (2) introduction of "JupyterLab" as an analysis environment, (3) implementation of spectral basic analysis functions of the 3 kinds, and (4) addition of CRISM data obtained after 2008.
We incorporated the service Django that was independent and the new service JupyterLab into Docker Compose, which manages application services. This enabled Red Ace developers to easily build the execution environment. The user is now free to perform analysis in JupyterLab, and can also perform simple basic processing using the basic spectral analysis functions in the extended Red Ace. We created three spectral basic analysis functions: normalization, moving average, and stacking. In addition to these basic analysis functions provided, users can freely introduce other functions and combine them. The extension of Red Ace in this study helps the users to investigate and collect observational spectra on Mars and perform analysis of those data efficiently.
[1] Matsubara, Y. et al., A Mars Web-GIS “Red Ace” for viewing reflectance spectral data, American Geophys. Union, Fall Meeting 2018, abst. #IN33E-0896.
[2] mars.nasa.gov, THEMIS, Available: https://mars.nasa.gov/odyssey/mission/instruments/themis/ .
[3] mars.nasa.gov, CRISM, Available: https://mars.nasa.gov/mro/mission/instruments/crism/ .
[4] Hayashi, Y. (unpublished work, personal contribution)
[5] Fukuchi H. et al. (2020), UoA, MT.