[PPS07-P04] Construction of CRISM Database for Mars web-GIS
In this study, we build a database for Mars spectral observation data, which constitutes a very important part of the web geographic information system (web-GIS) of Mars which is under development. The efficient management of data becomes possible by introducing the database which is necessary for handling Mars observation data of large variety and amount. In the client side, the user can browse, download and analyze the data simply, easily and quickly.
We install Compact Reconnaissance Imaging Spectrometer for Mars (CRISM) data as source data for the database. CRISM data are 3D image cube data, which include spectral data in each image pixel. We can identify minerals by examining the absorption bands of the observed spectra. We choose key items from observation data to install in the database. Such key items would be useful for the user to search the data which he/she need for studying mineral compositions on Mars.
We use Post-GIS for developing the CRISM database. Post-GIS is an enhanced version database of PostgreSQL, which is a relational database. We can handle some datatypes including geometry and calculate coordinates by using Post-GIS. We use Python, a programming language to navigate Post-GIS and to install the contents of CRISM data or GIS objects to Post-GIS. The drivers to use Post-GIS on python are easy to handle. In addition, we use mapserver, which is also an open source software, where we can plot observation points and retrieves the information of the exact spots which the user selects.
We build a CRISM database which will improve the efficiency of browsing, downloading and analyzing the Mars spectral data. In the next step, we plan to develop other databases for other kinds of data useful for the 3D visualization in the Mars web-GIS.