Introduction In my previous two posts I introduced the Cloud based data broker technology ERDDAP and demonstrated how one can use it to obtain geo-spatial scientific environmental data: Access sensor data on an buoy located in the Irish Sea . Get and display weather forecast data from the Global Forecast System (GFS). The use of data brokers to unify data catalogues is an approach taken by both the National Oceanic and Atmospheric Administration of the USA (ERDDAP) and the intergovernmental Group on Earth Observation (GEO Discovery and Access Broker). In this post I discuss the potential impact of this type…
While preparing for an upcoming presentation at the annual meeting of the American Geophysical Union (AGU) I came across a topic that I thought might make an interesting blog post. The presentation is about using data from the Sentinel-1 mission for Earth Science applications. The Sentinel-1 spacecraft are C-band SAR systems launched and operated by the European Space Agency (ESA). An innovative aspect of this mission is that the collection scenario devised by ESA is systematic and very broad in coverage. Using Sentinel-1 we can monitor Earth using SAR data like never before.
The well-known Q/A-forum StackExchange has started a new “Open Data” section. Users can ask for needed datasets and get feedback from the great StackExchange community. Especially for our GIS and webmapping readers this is good news. Often the methodology isn’t the core problem of dealing with scientific or business issues. Often it’s more or less a lack of proper open datasets to run visualization and analyses.
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.
Sentinel-2 is the optical satellite of the Copernicus programme. It can be compared to Landsat, although it has a better resolution, of 10 to 20 meters. We’ll be using it for crop monitoring with simple vegetation indices.
Last time we had the task to create mountain ranges polygons for the whole world. I prepared a small tutorial referred to that. Maybe you can find something interesting for you. It will show you a model on how to select defined regions, slicing raster, smoothing and also exporting desired features. Enjoy!
I often find myself in a situation where I want to work with large areas and datasets of OpenStreetMap data. No matter if you want to use them in a QGIS map or create custom map tiles in Tilemill, with the Overpass API you quickly run into performance issues. Imposm is a great tool to overcome that situation, so you can load OSM extracts (worldfiles in pbf format) with a custom data mapping into a PostGIS enabled PostgreSQL database. The downside: It is hard to set up if you are not a database and system admin guru. This is where…