Google Earth: The Home Greenover Project

We’ve shown you some neat use of the Google Earth Plugin from EarthvisionZ in the past, such as the ATP World Tour site last November, but their latest site is certainly their best yet.

Fox 31 News in Denver is now running its Home Green-Over Project, a contest offering $75,000 worth of renewable energy products and services. This contest is especially cool because of the great use of the Google Earth Plug-in on the site, which gives users seven interactive 3D tours of an energy efficient home.

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Along with the wide view of the home, many of the tours feature cut-away looks so that you can see the products and services offered inside of the home as well.

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All in all, it’s presented very well and it’s a great way to show off this kind of content. Be sure to go check it out for yourself. EarthvisionZ will also be launching their new website on Earth Day next week, with a ton of great new features for both visitors and businesses.

OpenStreetMap Skiing

A few weeks ago we showed you a handful of neat tools to help you enjoy the ski season a bit more, but we missed a big one — Skimap.org.

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The main idea behind SkiMap is to allow users to upload maps from various ski resorts and share them with other users. Recently, however, they added a feature that uses the OpenStreetMap API to convert OSM data into KML vector ski maps. In just the past month, 940 ski maps were generated for use on the site!

The quality of the maps varies by location — European resorts are more fully mapped than US ones, and in the US they’re in better shape on the eastern half of the country. However, with the rate at which new ones are being added, your favorite ski area will probably look good on there very soon.

To see a good example of a ski area, check out Whistler Blackcomb. They have 67 different printed maps for Whistler, along with a handful of “OpenSkiMaps”. Here’s a KML file from one of them if you want to see it in Google Earth.

Google Earth: Gigapixel panoramas

We’ve talked before about Gigapixel images and 3D Panoramas, but it’s not often that the two come together.

For the past year, Thomas Hayden has been shooting gigapixel-quality 3D panoramas, and the quality is stunning. For example, this KMZ file takes you to OMSI (Oregon Museum of Science & Industry) in Portland, OR. Be sure to turn on the “360Cities” layer under the main “Gallery” layer.

He has recently completed shooting a 42 image set virtual tour of the museum using a GigaPan that allows him to capture very high resolution panoramas. While most GigaPan images you see these days are multi-GigaPixel “framed” panormas, he specializes in almost completely spherical location coverage. These are as high resolution as many popular gigapan images, an order of magnitude higher resolution than the standard methods for virtual tour photography. The standard methods compose a 360 from 5 or 6 individual photos, while he composed these using 112 to 126 individual 8 MP images. The average size of one of his 360s is around 220 MegaPixels (.2 GigaPixels). This resolution allows the viewer to zoom in on very fine details, and in the case of the Manuevering Room of the USS Blueback fast-attack submarine on exhibit at OMSI, allows the viewer to examine the switches, dials, and gauges that move the boat.

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His first project was in creating a virtual tour of the Grand Canyon by rafting the Colorado River for 18 days last April. There are 21 images in all as part of Grand Canyon GigaView that can be found along the river over 225 miles from Lee’s Ferry to Diamond Creek. All of the images very near to the river in the Grand Canyon that are visible on Google Earth are part of Grand Canyon GigaView. Look for the 360Cities red icons near this KMZ file. He has also built a Tumblr blog that serves as a day-by-day trip report and a place to display the media. The imagery from the Grand Canyon is absolutely stunning:

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For those of you interested in the specifics of how he was able to capture the imagery for these panoramas, he’s explained his equipment in detail:

The equipment I use is half of my story, actually. I generate these images with a five year old, low end, prosumer camera (Canon Powershot S5 IS 8MP) and a GigaPan Epic 100 robotic camera mount. The GigaPan unit is designed to handle almost any brand of point and shoot camera, and together with software, become a high resolution imaging device. The concept spun out of NASA’s Mars Rover Missions where they needed small cameras (low power, light weight) to do great things. The primary resource they knew they would have on Mars was time, so the created this process for turning low end cameras into useful imagers by compositing back on earth. With money from Google, Carnegie Mellon University started the program initially with National Geographic and NASA called the Global Connection Project, which spun out into a company called GigaPan Systems to produce and market an affordable robot+software package that would make thise kind of imaging within reach of the average consumer. In the last year, GigaPan has also produced a beefier unit to manager larger DSLR prosumer cameras and their telephoto lenses.

My Grand Canyon GigaView project is not-for-profit and GigaPan supported the project by providing the Epic 100 I still use today. NRS supplied me with whitewater gear and PNY supplied me a all the SD cards I will ever need, so I had some sponsorship. I was invited on the Grand Canyon Private River Trip permit that my old raft guiding buddy had won last year in the newly formed private permit lottery system that GCNP devised in 2007 to deal with the 25 year waiting list that had become the average wait for a private rafting permit. Because I used to guide and have many friends in the river communities of the Colorado Plateau, this was my second opportunity to row a boat down the Grand Canyon through 225 river miles, 182 named named rapids, and 3 of the largest drops in North America.

Most of the images are inner canyon landscapes, but when there are people to be found in them, they are usually my fiance and I posing on a overhanging ledge or peering around a bush to see if the GigaPan had finished shooting yet, only to get caught by the robot.

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