Spatial Information dissemination and integration inside the majority of information frameworks was cultivated by innovative technological advances. As of not long ago, spatial data was conveyed by means of paper, settled electronic media (CD-ROMs or DVDs) or system based electronic media. Today, GIS services are utilized to transmit spatial data over the web.The advances in Information and Communication Technologies have changed the way in which spatial data are distributed. Today, Web GIS is utilized to disseminate maps over the Internet. Spatial Information tends to be created, stored and managed by local providers, however it is available to various clients anyplace and whenever. This approach empowers a client application to get to spatial data across different networks and sources.
An example of a WebGis Architecture
One the most important component of a Web GIS application is the GIS Server. A GIS Server is a software that listens for specific request (by clients). These requests could be for different services (i.e. OGC compliant) like getMap request etc. A GIS server loads a dataset (e.g. a shape file or a Geo-Tiff) renders it, cut image into tiles and sends it back to the requesting client. Every time a client pans or zooms, GIS server receives requests and sends image tiles as response.
There are various Open Source options to choose for a GIS Server (i.e. https://www.gislounge.com/open-source-gis-applications), however this tutorial will focus on GeoServer (http://geoserver.org/), which is one of the most commonly used frameworks. GeoServer has an edge over others because of its administration tool i.e. web based administration interface and its simplicity deploying a dataset as a WMS, which make it an ideal option for beginners in the WebGIS industry.
I am a Remote Sensing and a Surveying Engineer. I received my Diploma in the Department of Rural and Survey Engineering from the National Technical University of Athens (NTUA), where I also received my M.Sc. in the domain of Geoinformatics and Remote Sensing.
From the beginning of 2013 I am working as a GIS and Photogrammetry Expert in the private sector offering support and solutions in GIS, Remote Sensing and Photogrammetry applications. Also, from 2013 I am a Research Assistant in the Laboratory of Remote Sensing of National Technical University of Athens (NTUA). I have actively participated in more than 10 funded European Commission and European Space Agency projects and I have more than 15 peer reviewed scientific publications in journals and conferences.
I have experience in the fields of the state of the art technologies in WebGIS, remote sensing, data processing, multispectral images, radar, big data, data mining and machine learning algorithms. My main areas of research are the automated procedures/classification algorithms for land cover/uses mapping. Some of the software tools I operate in common basis for geospatial applications are: ERDAS IMAGINE suite, QGIS, ESRI suite and Python.