Bringing pyModis to the web through ZOO-Project GSoC 2016

Brief description of your idea
The pyModis project has been developed and used to work with MODIS data, it provides wxPython user interfaces which are able to download and process data using pyModis scripts. pyModis depends on a desktop graphical user interface which does not make it directly usable from a web application. The idea of this GSoC proposal is to bring pyModis to the web by publishing Python Web Processing Services using the ZOO-Project technology accessible through a minimal web application.

State of the software before GSoC
Currently pyModis is able to run on a local computer but cannot be directly remotely invoked on-demand. ZOO-Project is able to handle services implemented in the Python language but do not offer any pyModis capabilities.

State of the software after GSoC
pyModis capabilities will be directly available online, a minimal User Interfaces will be provided and pyModis services would be able to be remotely invoked through ZOO-Project using the WPS protocol, so from any client application providing the WPS capabilities, such as QGIS for instance.

Schedule
Prior to the start of the GSoC period, I will learn in more details every of the involved technologies, starting with ZOO-Project and pyModis. First, by learning how to write zcfg and Python service should be implemented for ZOO-Project, then services that use specific pyModis capabilities. To finish, I will have a deep look in the Hogan templating system used by the ZOO-Client (part of the ZOO-Project). Having learnt pyModis scripts in details, I should be able to evaluate the commonly used data types to be taken into account during the User Interface design and anticipate the HTML elements to use. On the last day of each week, I will write a blog post reporting all the work done during the past week.

Reports
No reports yet.

Programming and GIS
I am a 28 year-old 2rd year student at the Naresuan University in Thailand. I am pursuing my Bachelors in Geography and Masters by research in Geographic Information Science. GIS is my specialization for research in my Masters. I am looking forward to pursue a career in the fields with GIS as a core concept. I am interested in open source development as it is extremely helpful to developers everywhere to create new and improved programs to solve real world problems. I have been working on WPS services implementation as a part of my research in the field of Spatial Informatics and started learning about the ZOO-Project WPS. After discussing my idea with the ZOO-Project WPS team, their feedback helped me a lot in refining and redesigning my idea.

Computing experience
I am quite used to various GIS related softwares like ZOO-Project WPS, GRASS, QGIS, PostgreSQL/PostGIS, pgRouting, OpenLayers and OpenStreetMap. Good Knowledge of Web Mapping Application Development, working knowledge of computers using spreadsheets and Geospatial Databases system.
 * OpenSource GIS: QGIS, GRASS GIS, gvSIG, uDig, MapWindow GIS, Marble, FWTools, GDAL/OGR, GeoServer, MapServer, GeoMoose, GeoNode, OpenLayers, PostgreSQL/PostGIS, pgRouting, OSGeo Live, OpenGeoSuite, GeoExt and Heron MC.
 * Operating Systems: Microsoft Windows and Linux
 * Programming languages: HTML, XML, CSS, PHP, JavaScript, Python, C++ and SQL

Research experience

 * Comparisons of Drainage Network Delineation from Different Thresholds of Digital Elevation Models. Geoinfotech 2016, 3-5 February 2016, Queen Sirikit National Convention Center (QSNCC), Bangkok, Thailand.
 * Real-time rainfall Interpolation based on Web Processing Service Using FOSS4G and Open Data. FOSS4G-Asia 2014, 2-5 December 2014, Asian Institute of Technology, Pathumthani, Thailand.
 * Developing Web-Enabled Considering Decision Support System for Staff Dormitory Service in Naresuan University using pgRouting. The 4th Conference Geoinformatics Naresuan, 31 October 2014, Naresuan University, Phitsanulok, Thailand.
 * A Cloud-Based Platform for Geological Data Acquisition via Mobile Device. The 35th Asian Conference on Remote Sensing (ACRS 2014), 27- 31 October 2014, Nay Pyi Taw, Myanmar.
 * Fall Biomass Assessment in Mea Hong Son Province by Using MODIS Data. The 1st Conference Geoinformatics Naresuan, 21 September 2010, Naresuan University, Phitsanulok, Thailand.
 * Wild Fire Risk Analysis from Hotspots and Environmental Factors in Mae Hong Son Province. GEOINFOTECH 2010 Conference, 15-17 December 2010, IMPACT Exhibition and Convention Center, Nonthaburi, Thailand.