KML(Keyhole Markup Language) is an XML data format used to display information in a geographical context. Just as Web browsers read and display HTML files, land-based browsers such as Google Earth read and display KML files. KML is a language readable byeveryone , composed of text and punctuation . It can be created and edited through a basic text editor, saved, and then previewed in a land-based browser . You do not need to be a wizard to master the basics of KML, and you’ll notice than this knowledge will make it possible to create powerful presentations that depict your geographical data and images on the numerous land-based free browsers such as : Google Earth, Microsoft Virtual Earth, NASA WorldWind, ArcGisExplorer, .. Continue reading “KML: Getting Started”
Unlike in a previous article (Spatial Data Analysis and Spatial Analysis of Data) where nothing was specific to coastal management, in this article I will examine specifically Coastal Management. We will start by discussing how geomatics applied to the littoral zone displays very specific features.
Following up a previous article (Débuter avec Postgres/Postgis ), we will address an introduction to Postgres/postgis database management. We will load a shapefile, connect and load the Postgis layer from QGis.
The most suitable method to manage PostgreSQL databases is by using the pgAdmin4 GUI.
This tool is setup automatically during PostgreSQL installation. You can launch it from the programme bar:
In the previous article (Advanced Geoserver: tiling (principles) we have explored the different concepts regarding the tiling mapping.
In this article we will discuss how to implement those applications using Geoserver.
In order to run the tiling, Geoserver uses an external module called GeoWebCache. Continue reading “Advanced Geoserver : tiling (quick start)”
When we think of accessible data to integrate into our GIS, we hardly think of satellite data. And yet, it is possible, and just a few clicks away.
Let’s see an example. The following images represent the state of the vegetation for the islands of the Gulf of Morbihan, on the left for July 2014, on the right for March 2015. If we wish, we can obtain images every 15 days, the most just one week old.
Findin, recovering and processing them in just 5 minutes. So, why deprive yourself? Continue reading “Use of Landsat images (free) in your GIS”