Here are the tag clouds from this year's GIS class: the why, how and what of our upcoming semester's projects. Word clouds from Wordle.
The Why: what are the key problems class members want to focus on...
The How: possible methods we will use...
The What: some of the datasets that might be used...
Off to a great start!
Here are the tag clouds from this year's GIS class: the why, how and what of our upcoming semester's projects. Word clouds from Wordle.
The Why: what are the key problems class members want to focus on...
The How: possible methods we will use...
The What: some of the datasets that might be used...
Off to a great start!
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Used in my MDP lecture today, and so posting so I can find it easily later!
http://apps.agi.com/SatelliteViewer/
Great web app for viewing current satellite orbits.
More detailed info here: http://qz.com/296941/interactive-graphic-every-active-satellite-orbiting-earth/
Last week we held another bootcamp on Spatial Data Science. We had three packed days learning about the concepts, tools and workflow associated with spatial databases, analysis and visualizations. Our goal was not to teach a specific suite of tools but rather to teach participants how to develop and refine repeatable and testable workflows for spatial data using common standard programming practices.
On Day 1 we focused on setting up a collaborative virtual data environment through virtual machines, spatial databases (PostgreSQL/PostGIS) with multi-user editing and versioning (GeoGig). We also talked about open data and open standards, and moderndata formats and tools (GeoJSON, GDAL). On Day 2 we focused on open analytical tools for spatial data. We focused on Python (i.e. PySAL, NumPy, PyCharm, iPython Notebook), and R tools. Day 3 was dedicated to the web stack, and visualization via ESRI Online, CartoDB, and Leaflet. Web mapping is great, and as OpenGeo.org says: “Internet maps appear magical: portals into infinitely large, infinitely deep pools of data. But they aren't magical, they are built of a few standard pieces of technology, and the pieces can be re-arranged and sourced from different places.…Anyone can build an internet map."
All-in-all it was a great time spent with a collection of very interesting mapping professionals from around the country. Thanks to everyone!
/span>IGIS is excited to be working with 3D Robotics (3DR) to explore new applications of small unmanned aerial systems (sUAS) for monitoring agriculture and natural resources. This technology has never been more practical for scientific exploration; however, there is still much to be learned about how to best utilize sUAS in this way.
IGIS is now developing protocols for safe and efficient deployment of a 3DR Solo sUAS. Equipped with a common 12 megapixel GoPro Hero camera, this platform can survey up to 75 acres, at 3 inches of spatial resolution in less than 20 minutes, while flying a pre-defined flight path at 23 miles per hour, at 300 feet above ground level. Then thanks to Pix4D mapping software, which is used to combine the pictures collected by the sUAS's GoPro into a single image mosaic, automated photogrammetric processes can render a digital terrain model from the images with a vertical accuracy close to the same 3 inches spatial resolution found in the original image collection.
IGIS has introduced sUAS and remote sensing training into our workshop schedule for this year. Please check out our IGIS training calendar by Clicking Here for more information.
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