A VerySpatial Podcast
Shownotes – Episode 397
February 25, 2013
Main Topic: Our thoughts on ethics in GIS
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The 2013 IEEE GRSS Data Fusion Contest scientific challenge has been held annually since 2006. The Data Fusion Contest is organized by the Data Fusion Technical Committee of the IEEE Geoscience and Remote Sensing Society (GRSS) in order to educate and promote best practices in data fusion applications. It is comprised of two individual contests: 1) Best Paper Award and 2) Best Classification Award, users can participate in one or both contests. This year’s contest uses hyperspectral and LiDAR fusion datasets of the University of Houston campus and neighboring area.
The Best Classification Award results must be submitted between February 16, 2013 and May 1, 2013. The Best Paper Award manuscripts need to be submitted by May 31, 2013
2013 IEEE GRSS Data Fusion Contest winners will receive one 16GB WiFi iPad (provided by DigitalGlobe, Inc.), their results submitted for peer review to an IEEE-GRSS Journal, and attendance at the Data Fusion Technical Committees and Chapters Luncheon of the 2013 IEEE International Geoscience and Remote Sensing Symposium in Melbourne, Australia, in July 2013.
The American Geosciences Institute sent out a press release today about the release of their video series on geoscience on YouTube. The series is available as a playlist on the AGI YouTube channel. The video above is the first episode, Building the Planet, which actually starts off with a flight to collect AVIRIS data and a quick discussion of remote sensing and talks a little about ground-based Lidar later in the episode.
Python Scripting for ArcGIS is a new text from Esri Press by Paul A. Zandbergen (2013). It isn’t the first Python book for the geospatial community or even focused on ArcGIS, but it is the first that has the Esri logo on it. Much like other recent books on Geo/Python we have seen, it focuses on integrating an introduction to Python with the industry specific materials. As Frank mentioned when he highlighted the book in a previous podcast, this allows users to gain exposure to Python, but it doesn’t fall back on the (in my opinion) bad habit of most programming texts of spending half of the book on the language and concepts before even getting to the application in the specific area. There is a time and place for that approach in Python specific books. When you add another software library to a book, then use it from the get go.
The text is broken into four parts including 1) learning fundamentals, 2) writing scripts, 3) carrying out specialized tasks, and 4) creating and using scripting tools. As you can imagine each of these parts builds on the previous through the book fourteen chapters. Early chapters take advantage of Model Builder to help the reader get into Python through geoprocessing tools, but by Chapter 4 the focus is on building and running code. The book comes with a DVD which includes data and code samples so that you can use the same data and code that the authors are running.
If you are looking to learn Python for use with your ArcGIS workflow, or a reference on the topic, this book is a good option for a growing bookshelf on the topic. The fact that you are using both Python and ArcGIS all the way through the book gets our support. With an MSRP of $79.95 and a current Amazon price of $48.45 the cost puts it in the range of similar books.