Field Data Collecting, Processing and Sharing: Using web Service Technologies
Collecting, Distributing and Analyzing field data is a crucial part in any geospatial study. Field data collection tools and methods have been developed significantly due to the advancement of technologies such as Global Navigational Satellite Systems (GNSS) and development of smartphones. Accurate field data collection is also a necessary task for broad spatial data analysis and proper decision making. Development of Web technologies led to share the data and information effectively. This study tries to develop a framework based on the Geospatial Semantic Web technologies for disseminating and processing field data. Experimental results from an implemented prototype show that the proposed framework allows to visualize and process the field data in any context. The system of this study is capable of distributing and processing field data using web application. Moreover, the study demonstrates the importance and the capabilities of web services for spatial data gathering and processing. The system has been developed based on Free and Open Source Software (FOSS) packages such as ZOO-Project, Open Data Kit, etc. It enables user to further improve or deploy the system for variety of studies.
Field Data Collecting, Processing and Sharing: Using web Service Technologies
- 1. Field Data Collecting, Processing and Sharing: Using web Service Technologies Niroshan Bandara*, Venkatesh Raghavan*, Daisuke Yoshida*, Gerald Fenoy** *Osaka City University, Japan **GeoLabs sarl, France INTRODUCTION Collecting, Distributing and Analyzing field data is a crucial part in any geospatial study. Field data collection tools and methods have been developed significantly due to the advancement of technologies such as Global Navigational Satellite Systems (GNSS) and development of smartphones. Accurate field data collection is also a necessary task for broad spatial data analysis and proper decision making. Development of Web technologies led to share the data and information effectively. This study tries to develop a framework based on the Geospatial Semantic Web technologies for disseminating and processing field data. Experimental results from an implemented prototype show that the proposed framework allows to visualize and process the field data in any context. The system of this study is capable of distributing and processing field data using web application. Moreover, the study demonstrates the importance and the capabilities of web services for spatial data gathering and processing. The system has been developed based on Free and Open Source Software (FOSS) packages such as ZOO-Project, Open Data Kit, etc. It enables user to further improve or deploy the system for variety of studies. COMPONENTS Main components of the project can be categorized as Mobile data collection applications and GIS applications concerning Desktop and Web. 1 2 3 2. QGIS QGIS is a user friendly Open Source GIS software package which can import layesr locally and online from a server as a service such as WFS, WMS. And QGIS has capabilities to manipulate various types of spatial data formats such as KML, SVG, GeoTIFF, GeoJSON, PostGIS, SpatiaLite, MSSQL, etc. 1. ZOO-Project ZOO-Project is an Open Source Geospatial (OSGeo) Foundation project that enables existing open source libraries to interact through its WPS framework. It consists with three components as describe below; ARCHITECTURE Users can exploit their mobile devices to record field data using ODK suite. The data will be sent to ODK Aggregate, which is running on an Apache Tomcat server backed with a PostgreSQL database. Then the data is published through the GeoServer. Finally data can be visualized using web viewer or it can be processed by ZOO-Project as WPS or QGIS as desktop client. WPS XLS Forms Convert Database WMS WFS ODK COLLECT Desktop GIS Web viewer Web GIS application Client side Server side AGGREGATE DATA VISUALIZATION Data Visualization; (a) View submission; (b) Web viewer (a) (b) DATA COLLECTION Data are collected by using ODK collect. The application let the user to insert the GPS location automatically. And other data such as multimedia and text/numbers can be entered manually. ODK Collect; (a) Survey forms; (b) GPS information; (c) Input Images; (d) Additional data inputs (a) (b) (c) (d) As web processing Data imports to QGIS and process ; (a) Import from PosrgreSQL database; (b) Import as WFS (c) Analyse in QGIS Web processing interface; (a) Data points; (b) Result after processing As desktop client DATA PROCESS (a) (b) (c) (a) (b) CONCLUSION Advancement of Mobile phone and Web technologies has been able to simplify the spatial analysis and field data collection. Barriers and gaps in the geospatial science can be truly addressed by developing such systems. ZOO service ZOO API ZOO Kernel • Code – C, Python, java, Perl, JavaScript • .zcfg – zoo configuration file • JS script – for WPS chaining • Classes – zoo request, zoo process, etc WPS Engine OpenLayers | UDIG | Your Client WPS Client 3. Open Data Kit ODK consists of three modules as shown below: Aggregate ODK Build is used to create and design the field survey forms. ODK Aggregate is server- side module which provides blank forms to ODK collect and work as a data repository. ODK collect is the client- side module and it is an app which can be installed on the Android mobiles. FOSS4G 2016 NARA.KANSAI