Recently HeiGIT @ GIScience Heidelberg released a dedicated stable disaster versionof OpenRouteService (ORS) to support humanitarian logistics within specific regions of catastrophes with data from OSM in a more sustainable way. Since his start in 2008 OpenRouteServivce had been spontaneously applied for specific real world disaster cases already numerous times, for instance during the earthquakes in Haiti 2008 and 2010, in Nepal2015, and in Equador 2016. Yet this always involved manual effort to set the system up for the specific disaster which costed time and manpower. For this reason this was only manageable for specific larger disasters. In order to provide this…
What if you want to build your own webmap on your WordPress blog without any knowledge about javaScript, frontend web development and geojsons? You can use a plugin! In this article I’ll give you a short introduction about “Maps Marker”, a popular tool to create webmaps within seconds. First I’ll show you how to install Maps Marker, after that we create a first webmap with a test marker.
If you are reading this post – you might know something about satellite imagery. This is a valuable source to power quite a lot of analytics and monitoring applications. In this post I’d like to give you an idea of how all this Big Data stuff can be obtained and processed online, using the single API called #VANE language. What is VANE? The VANE geospatial platform, that’s coming out of the Beta now, is a new project we started at Openweathermap, relying on our expertise in providing well-designed APIs for weather data which is widely used by devs community. The…
Tiled map layers are an important part of the digital mapping stack, since Google and others introduced their slippy maps quite some time ago. There’s a huge ecosystem of (open source) software for creating and hosting tiles for your custom mapping project. In this tutorial, I want to share what I learned while setting up a tileserver for our projects at Geolicious.
Two years ago I wrote the OSMroute plugin which enable the QGIS user to use the OpenRouteService API for geocoding of points, accessibility analysis as well as routing from A to B. Unfortunately the managing of a plugin/ open source tool is time-consuming/ hard. But fortunately Nils Rode lifted the plugin to a new level: OSM tools.
In one of my last posts I described the installation of a git server to improve collaborative work in closed environments. But developing solutions can be a pain in the axxxx if you need deal with user/OS dependent issues all the time. So let me introduce you to Vagrant: Vagrant is an open-source software product for building and maintaining portable virtual development environments.
Geomodelr is the first web geological modeling platform. It helps you to model complex geological settings with simple operations. Additionally, It helps people to share and reuse geological models. Geomodelr was called mapalomalia. However, it has changed its name and it has many more things to offer.
About four years ago, Daniel wrote a short article on how to publish a GeoTiff as maptiles and how to use this in a leaflet map. I would like to refresh that knowledge and apply this to the current release of the NASA images (“Black Marble 2016”) which were published last week and also compare the images using some LeafletJS magic.
I want to continue my article “Using the Google Earth Engine (GEE) for Detection of Burned Areas” (link) and describe in detail script for detection burned areas. I decided to post here code of this script with comments, shchems and illustrations of wotk this scrip Link to script on Google Earth Engine This script shows two variants for detection burned area: Calculating spectral index NBR for before and after forest fire images, download on your computer and compare these scenes in software using function change detection. Calculating spectral index NBR for after forest fire images and select burned areas using threshold. My…
This might be a bit off-topic for some of you but it was on my desk recently. Furthermore I think this might be interesting for GEO/GIS folks as well: host your own GIT. With GIT your efforts on working together on documents or solutions might be a bit easier. Normally we use GitHub: GitHub is a web-based Git or version control repository and Internet hosting service If you don’t know what GIT/GitHub is about: But what if you have just limited access to the outer world in terms of policies, compliance or just a “bad feeling” in storing/sharing your data,…
In one of our latest projects we faced a sad truth: geocoding results often sucks and points are not scattered enough but concentrate on distinct locations and clusters will be full of markers. This will lead to heavy clustering if you work with such data in leaflet using the markercluster plugin. In the end it was always hard to find the right point of your interest if you’re facing 20 spiderfied points on one location. So we asked ourself: how can we increase the useability of clusters as we can’t change the location data itself? We came up with a…
Google Maps is one of the most popular web-based map services. If you want to adjust its style you can easily define a custom style sheet and embed it as JSON element into your HTML-code. Because there are lots of map elements you can style, it could be a good idea to use one of here introduced web service specialized on Google Maps style creation.
Google Earth Engine ( GEE ) is a cloud platform for processing satellite imageries. This service includes images of Landsat 5, 7,8, Sentinel 1 and Sentinel 2. You can process them directly on Google servers and don’t need download the images. This opportunity does processing of satellite imageries faster then on a limited desktop PC. However, you should have programming skills, because this is based on JavaScript code and the Google Earth Engine API.
The visualization and interpolation of 3D terrain (point) data (DEM or DOM) could be a hard task for current GIS software and small to midsize hardware. One thing is the huge possible amount of points and their precision when it comes to airborne or terrestrial LIDAR data with point density < 5m and big areas of interest. Another thing is the rendering performance once the user started his exploration of such a huge dataset. There are several open source and proprietary software solutions and specialized software for several industries. In the following I’ll introduce you to planlauf/TERRAIN, a lightweight DEM…
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