Microsoft Bing Maps works with Dell Data Center Solutions on adding Modular Data Centers as part of its new computing microsite in Longmont, Colorado
How to use GE to map scout a hunting area, to include how to add BLM land status, Colorado hunting units, and elk summer concentration and production areas.
The addition of trees to Google Earth 6 was an awesome enhancement that made some big cities in Google Earth look remarkably more realistic. While they’re rolling out at a fairly slow pace, it’s nice to see Google continue to push it out to a few more cities.
The newest cities to get the trees are Boulder and Denver, Colorado and Los Angeles, California.
The new trees in Denver are of particular interest to me. I wrote a post on Digital Earth Blog more than three years ago comparing Denver in Google Earth and Microsoft’s (then-titled) Virtual Earth. At the time, Virtual Earth looked far better than Google Earth thanks to the trees. However, Google Earth has blown way past the look of Virtual Earth thanks to the improvements in satellite imagery and 3D buildings in the past few years.
First, here’s a look at the Colorado State Captiol building in Google Earth circa 2007. There are a few modeled buildings, a handful of gray buildings, and certainly no 3D trees:
Next, here’s a shot from Virtual Earth, also in 2007. There are quite a few more 3D rendered buildings, but the textures on them aren’t very sharp. The trees are a nice touch, though:
Finally, here’s a look at the same view in Google Earth, as seen today. The buildings are amazingly sharp, and the trees look far more realistic than what we saw in Virtual Earth in the past:
This comparison helps to show why Google is taking so long between cities with the addition of 3D trees — they’re doing it right. Rather than clumps of virtually identical trees like you saw in Virtual Earth, they’re taking the time to get the right species and height of each tree. The results speak for themselves.
To see these new trees, simply search for Boulder, Denver or Los Angeles in your Google Earth search window and make sure you have [Trees] enabled in the [3D Buildings] layer.
Google Lat Long Blog
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.
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:
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.