Digital Geography

Off Topic: self hosted GIT-server with Bonobo

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,…

Using the Google Earth Engine (GEE) for Detection of Burned Areas

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.

Map your CV

Probably everyone at least once in your life was searching for a job and had faced the challenge of creating an interesting resume. But when you start to create a normal list-like cv/resume you will surely say “BORING! Next!”… As I’m a geographer the idea was to create map that is the CV itself.

5 ways to get a job in the “geo-industry”

Studying geosciences, geography or geology and all related disciplines commonly ends in the question of appropriate job position. Personally I felt very lucky about my former studies in geography, but it was also very complex to understand the Earth system. This led to my conclusion that defining and finding a job could be difficult. In conclusion to friends, who studied law, medicine ore teaching profession, my way into employment wasn’t so clearly predefined in a certain way. Even more: I saw this fact as advantage and big luck to be forced to creativity concerning job definition. Especially for Geoscientists the…

Accessing Landsat and Sentinel-2 on Amazon Web services

The cloud has made it easier to process large amount of data, and satellite imagery processing benefits from cloud processing too. One of the cloud services that offers access to satellite images, and abilities to process them in the cloud – no more need to download it to your computer and process it there – is Amazon Web Services. If you’ve never worked with cloud processing, getting started with AWS can be a bit daunting. This tutorial gives beginners an introduction to accessing satellite images – Landsat and Sentinel-2 – on AWS.

From Cloud to GIS: Getting Weather Data.

Introduction In this post we are going to look at how to get weather forecast data and display it as a layer in a desktop geographical information system (GIS). The tools that you need are: A desktop GIS. I am going to use QGIS (free software) but I have done this with ESRI ArcMap as well A spreadsheet application. I will be using MS Excel but I have also tried this with Softmaker Office and I am sure LibreOffice (free software) will work or indeed any other spreadsheet application The Natural Earth Quick Start data set. This is a collection…

ERDDAP: Diving into a Data Ocean

Data Lakes has become a popular term in the Big Data community. It’s used to refer to a large storage repository and processing engine. However there is now a technology from NOAA (National Oceanic and Atmospheric Administration of the USA) that turns its existing distributed data network of Petabytes of Open Data into what can be described as a Data Ocean! This technology is called ERDDAP and it provides fixed entry points on the Internet from which data can be searched for, queried and transformed. This functionality is made available via a human interface (web site) and Restful Web Services.

GIS with javascript – tutorial part 1

An article from Anders. Geodata in javascript GeoJSON is the standard way of storing geodata in JSON, javascripts native data format. The wikipedia article has very clear and telling examples. If you have never heard of GeoJSON, read it. The aim of this article is to show you how to convert your geodata to GeoJSON and some basics in querying the data.

Creating ARCs in QGIS: The Python Way

So I came across this nice little project which focussed on trip planning and route over large distances… And there was this nice little post from Nathan Yau at flowingdata.com where he describes the making of great circles from one point to different other points in R and the other example from Anita Graser where she shows how to deal with an Arc in QGIS but using postgis functionality. So what about QGIS itself and a programmatic way? See yourself…