Open Source Geospatial Tools: Applications in Earth Observation

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How did we get here? To understand the current difficulty when analyzing big Earth observation data analysis, let us look how geographic information systems GIS developed over the past decades. In the early days, they would be isolated structures:. This made many new things possible, such as the integration of S-Plus with Arc-Info, but to fully realize this, each software would have to implement drivers for every file format.

Developing new applications or introducing a new file format are both difficult in this model. Then came GDAL!

This Geospatial Data Abstraction Layer is a software library that reads and writes raster and vector data. Instead of having to write drivers for each file format, application developers needed to only write a GDAL client driver. When proposing a new file format, instead of having to convince many application developers to support it, only a GDAL driver for the new format was required to realize quick adoption. Instead of many-to-many links, only many-to-one links were needed:. R and python suddenly became strong GIS and spatial modelling tools.

Geospatial Data with Open Source Tools in Python - SciPy 2015 Tutorial - Kelsey Jordahl

ArcGIS users could suddenly deal with the weird data formats from hydrologists, meteorologists, and climate scientists. Developing innovative applications and introducing new file formats became attractive. We currently see a plethora of cloud environments that all try to solve the problem of how to effectively analyze Earth Observation data that are too large to download and process locally. Several systems work with data processing back-ends that are not open source.

The following figure only shows a few systems for illustration:.

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  5. Open Source Geospatial Tools: Applications in Earth Observation?

For open science, open data is a necessary but not sufficient condition. In order to fight the reproducibility crisis , analysis procedures need to be fully transparent and reproducible. To get there, it needs to be simple to execute a given analysis on two different data centers to verify that they yield identical results.


Today, this sounds rather utopian. On the other hand, we believe that one of the reasons that data science has taken off is that the software making it possible e. The computational back-end however is not transparent, it lets the user execute functions as far as they are provided by the API, but not inspect the source code of these function, or modify them.


It will include an in depth look at how to control the placement of labels to enhance the readability of the map especially when using tile caching to speed up map service. The talk will finish with a discussion of using GeoServer's composite and blending modes to provide pretty effects that can enhance your web mapping. KNReise is a collaboration-project among Norwegian governmental bodies working with cultural, historical and natural data. As the project neared it's conclusion, and had gathered, created and geolocated a huge amount of data and published it using REST APIs the next step was to present the data in a uniform manner.

We where tasked with making a client-side only, fully configurable, OpenSource web solution for displaying data from a number of different APIs. Using OpenSource components we where able to pull this off, and this talk will present both the product as well as the process. Open source tools have been successful in managing geospatial data in central data stores. However, performance issues can arise from many users accessing the same table in a geospatial database at once, especially in a multi-user editing environment.

The geospatial landscape also changes constantly, as a result of human activity and natural forces, this gives a need to track these changes within the geospatial database and perform change detection activities to understand changes across time, hence a need to version history.

These use cases springs up the requirements to employ a data distribution across multiple geospatial databases using versioning and replication technology to integrate several desktop and mobile user applications into an adaptive geospatial communications environment connecting operations across the enterprise and throughout the organisations to improve data availability to multiple users, tracking change history within multiple table versions while increasing system performance.

Several commercial geospatial applications have successfully implemented full versioning replication capabilities by leveraging middleware with the core database versioning capabilities — for example ArcSDE technology from Esri. The realization of a full solution has been far-fetched on open source geospatial applications.

Finally there will be a deep dive into the actual R-tree implementation. It supports key and range lookups and basic spatial indexing based on GeoHash , but not an R-tree implementation which makes multi-dimensional queries possible. Those queries can combine things like location and time, but also any other property that can be represented as a numeric value, such as categories. This makes it possible to query e.

GeoGig is having an amazing breakout year! GeoGig is a library and command line tool for distributed spatial data management. This talk will introduce you to the GeoGig team, the committers and the organizations behind the project. We will take an extensive look at the GeoGig 1. GeoGig technology is an important addition to the open source community. We will look at the work done with the QGIS project to bring distributed data management to desktop users.

What is especially exciting for those with a land management background is the integration with GeoNode for enterprise data management. Attend this talk to lean how GeoGig can help your organization and what the project has planned for your future. Also, a satellite-based real time tool that shows real time solar maps updated every 15 minutes was developed in both mobile and desktop formats.

Mobile apps have the advantages of using the device location for a better user experience. Recent developments include a real time dust monitoring and forecasting tools covering the whole Arabian Peninsula. The decision to use open source GIS platforms in ReCREMA will allow to outreach a large pool of potential end-users and to provide accurate, reliable and updated tools to decision makers, industrial developers, investors and the general public.

Developed for more than 3 years, it combines a variety of sophisticated algorithms, smart ideas and novel approaches to deliver 60fps rendering of vector data with thousands of shapes and millions of points. In this talk, you will find out how it works under the hood and why it's so challenging to build dynamic WebGL applications. The talk will cover scalable font rendering, line and polygon tessellation, in-browser spatial indexing, collision detection, label placement, point clustering, shape clipping, line simplification, sprite packing, efficient binary data encoding and transfer, parallel processing using Web Workers and more!

WebGL is a technology enabling web browsers to efficiently display massive amounts of 3D data in real time, which has achieved widespread support in most web browsers.

Between the Poles: Open Source Geospatial

But despite being fast and efficient, there not a lot of web mapping libraries or applications using its potential. In this talk we'll visit the most well-known web mapping libraries and platforms, we'll see what kind of state-of-the-web technologies they support and what are the challenges of writing WebGL code. Global Forest Watch GFW is an interactive online forest monitoring platform designed to empower people everywhere with the information they need to better manage and conserve forest landscapes.

Monitor when and where forests are changing. Algorithms are now used to process and analyze this remotely-sensed data to show when and where forests are changing with surprising precision and speed. Understand why forests are changing. Open data showing boundaries of land allocated for specific purposes, such as commodity production and conservation, as well as land management, allows us to understand why forests are changing. Are trees being cleared for palm oil? Are certain swaths of forests still standing because they are managed by indigenous groups?

Gauge the significance of deforestation. Additional open data provided by research institutions, governments, and others is used to understand the implications of deforestation on biodiversity, climate change, and provision of ecosystem services. For example, was a recently clear-cut area of forest home to endangered species? Was it a carbon rich primary forest? Spark further innovation.

New data formats for mapping the indoor spaces of buildings have been appearing lately - the shift from Autocad files to BIM systems and the adoption of OGC IndoorGML should mean a better standardization of the data. The reality from the trenches is somehow more grim - indoor mapping data is still in silos, hasn't seen any big breakthroughs in creating and editing, and most of the challenges remain.

Sometimes a format or specification covers a very specific and non-general use case, and sometimes the generality of a format incurs in a great overhead for every simple use case. Sometimes new concepts are really old concepts from a different industry but with a new name. It provides users with a relatively seamless environment where to code geo-spatial functions and models that are readily exposed to the Internet through the WWW.

Earth Observation

Initially started in , PyWPS has been completely re-written for PyWPS-4 taking advantage of the state-of-the-art Python infrastructure in order to provide new and useful features. The current version 3 implements the WPS 1.

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  • The recent publication of WPS version 2. Python offers easy access to a vast array of code libraries that can be easily used in the processes, in particular those for geo-spatial data manipulation, e. PyWPS offers storage mechanisms for process inputs and outputs and spawns processes to the background for asynchronous execution requests.

    The authors present general project news like to on going OSGeo incubation and the new Project Steering Committee as well as the current state of PyWPS, and show demonstrations how these services are currently being provided. Community can be a place for learning, sharing, and commiserating. You cannot deny the importance of face to face communications, so how do you find people in your area to talk about geospatial?

    This session will focus on the challenge of building community around geospatial technology and the lessons learned from podcasting to running events including ignites, camps, and day conferences. Boston has a large and strong technology sector within its businesses, government, and universities and yet, it is sometimes hard to see where geospatial fits into this community.

    This session is for people looking to start a meetup and people who are new to the community and interested in how to find community in their area. The project currently powers numerous high profile activities such as US data. This presentation will cover the main features and enhancements made to pycsw last year 1. We will explain the shortest path search in real road networks and how the data structure is important to get better routing results. Furthermore we will show how you can improve the quality of the search with dynamic costs and make the result look closer to the reality.

    You will also learn about difficulties and limitations of the library, and when pgRouting might not be not the right tool to solve your routing problem. Potree is an open source project that implements point cloud rendering capability in a browser. It is a WebGL based point cloud viewer for large datasets. Thanks to WebGL, it runs in all major browsers without plugins. Over the past years Potree has evolved from a small library to an active open source project with an active community, several companies funding development and an increasing user base.

    This presentation will give an overview over the current state of point cloud rendering with Potree, about the difficulties and challenges. Pointcloud data is expected to play an increasing role in the next years with falling prices for previously very expensive hardware such as laser scanners, the development of autonomous vehicles and the popularity of drones. Powerful hardware and WebGL will open up a wide range of innovative browser-based web services in the near future.

    A talk about data quality, how it is understood and if visualization can improve the understanding of data quality. A lot of focus has been put on data quality and methods of accuracy assessment. Most of these methods are however statistical.

    Open Source Geospatial Tools: Applications in Earth Observation Open Source Geospatial Tools: Applications in Earth Observation
    Open Source Geospatial Tools: Applications in Earth Observation Open Source Geospatial Tools: Applications in Earth Observation
    Open Source Geospatial Tools: Applications in Earth Observation Open Source Geospatial Tools: Applications in Earth Observation
    Open Source Geospatial Tools: Applications in Earth Observation Open Source Geospatial Tools: Applications in Earth Observation
    Open Source Geospatial Tools: Applications in Earth Observation Open Source Geospatial Tools: Applications in Earth Observation
    Open Source Geospatial Tools: Applications in Earth Observation Open Source Geospatial Tools: Applications in Earth Observation
    Open Source Geospatial Tools: Applications in Earth Observation Open Source Geospatial Tools: Applications in Earth Observation
    Open Source Geospatial Tools: Applications in Earth Observation Open Source Geospatial Tools: Applications in Earth Observation

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