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#JAVA AND JHELIOVIEWER ARCHIVE#
Processing the JPEG 2000 archive may take anywhere from several minutes to many hours depending on the size of the archives, and the number of files to be processed. If the MySQL daemon is not already running, start it:Ĭhange to the “api/install” directory and run the Helioviewer installation script:įollow the steps shown on screen. Tar zxvpf sample-data.tgz -C /var/www/jp2 If you don’t already have a JP2 dataset, you can download a sample dataset, e.g.: The next step is to process your JPEG 2000 (JP2) images and enter their information into the database for efficient querying.
#JAVA AND JHELIOVIEWER UPDATE#
Git submodule update -init Setup the Database
#JAVA AND JHELIOVIEWER INSTALL#
Pip3 install sunpy glymur zeep bs4 drms lxml numpy scipy datetime pandas bokeh=2.2.1 matplotlib pathlib joblib Clone source-codeĬlone the api repository into webroot usually located in “/var/www”Ĭlone the front-end repository into webroot usually located in “/var/www”Ĭd into the folder and run the following command to pull in Sudo apt install apache2 php7.4 php7.4-mysql php7.4-curl php-pear php-imagick php-mbstring php-bcmath php-redis libapache2-mod-php mysql-server redis-server imagemagick python3-mysqldb python-tk python3-tk python3-pip ffmpeg git libpng-dev libgsf-1-114 git ant This guide has been designed to work with Ubuntu 20.04 Prerequisitesįirst you will need to install all required packages.
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As support for the science planning of the Solar Orbiter mission, JHelioviewer offers a virtual camera model that enables users to set the vantage point to the location of a spacecraft or celestial body at any given time.However, if you wish to install the Helioviewer Project on your own machine this document has been created to aid you in this process. Once an interesting event has been identified, science quality data can be accessed for in-depth analysis. The software integrates solar event data and a timeline display. With JHelioviewer users can visualise the Sun for any time period between September 1991 and today they can perform basic image processing in real time, track features on the Sun, and interactively overlay magnetic field extrapolations. From a scientist’s perspective this poses three problems: accessing, browsing, and finding interesting data as efficiently as possible. In particular, the large volume of SDO data presents challenges the data are available only from a few repositories, and full-disk, full-cadence data for reasonable durations of scientific interest are difficult to download, due to their size and the download rates available to most users. Solar and Heliospheric Observatory, SOHO), multiple viewpoints (Solar TErrestrial RElations Observatory, STEREO), and returning large amounts of data (Solar Dynamics Observatory, SDO). Solar observatories are providing the world-wide community with a wealth of data, covering wide time ranges (e.g. These features make it possible to minimize the data transmitted while maximizing the use of the data that is transmitted. Using JPEG 2000, data can be served to a client in highly compressed, progressive in quality, and region-of-interest based form. JPEG 2000 offers many useful features and has the potential to revolutionize the way high-resolution image data are disseminated and analyzed.
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JHelioviewer is a visualization tool for solar physics data based on the JPEG 2000 image compression standard, and part of the open source ESA/NASA Helioviewer Project ().