Reposting: During the week of September 15th, GISCafe Voice will run a special feature blog on the topic, “Satellite Imaging.”
If you wish to have your company included, please let me know, Susan Smith at firstname.lastname@example.org The Satellite Imaging Questionnaire will be sent to all companies who offer satellite imaging products and services, so that we may thoroughly cover all opportunities available. Or, you can print it yourself from this blog and email it to me.
At Esri UC, we heard about the launch of DigitalGlobe’s WorldView-3 from DigitalGlobe senior scientist, Product Development and Labs, Bill Baugh. This satellite will be especially helpful for mapping mineral mining.
WorldView-3 is superspectral and has 16 spectrums, and contains the overall structure of spectrum. “The bands coming in WorldView-3 will allow you to go after data you might not be able to go after normally,” said Baugh. “You’ll be able to see iron, rocks (short wave infrared) and steel infrastructure.”Additionally, with SWIR-6 you can see through the smoke from a fire, which would be valuable for crisis response, when you have to see what’s on the ground.
At the other end of the spectrum (excuse the pun), in 2009, a couple of Stanford grad students envisioned that they could “index the earth the way Google indexes the Internet.” This is how the radical satellite imaging company Skybox was born. And now Google has acquired the company. So I guess that’s where Google comes in: already there, in the way of indexing. And Skybox is already there in terms of providing the satellite. Last November the company launched its first mini-bar-sized satellite, SkySat-1 into orbit aboard a Russian Dnepr rocket. Plans are to launch eight more by the end of 2015. Skybox even has its own rocket.
I spoke to many of you at Esri UC, but I know there are many out there that I may have missed seeing. Please contact me at your earliest convenience to be included in the September coverage. Deadline for materials: September 1, 2014.
The face of GIS and Geospatial education has changed dramatically over the past few years, with online courses being offered in numerous subjects, ranging from GIS fundamentals to Spatial Analytics and Geodesign. What is more phenomenal is that these courses reach out to all corners of the earth, making a GIS/geospatial education a possibility for almost everyone on the planet.
A recent CNN report announced thatNASA is asking for the help of citizens in viewing hundreds of thousands of images taken from space over the years, from the 1960s Mercury missions to the present images snapped from the International Space Station.
North Korea is barely lit when juxtaposed with neighboring South Korea and China.
NASA says the hope is that the images “could help save energy, contribute to better human health and safety and improve our understanding of atmospheric chemistry. But scientists need your help to make that happen.”
The catalog contains more than 1.8 million photos, about 1.3 million of them from the space station and roughly 30% of them taken at night.
Photos: International Space Station
NASA gets rare view of black hole
NASA tests supersonic parachute for Mars
Tyson on deep space exploration
The CNN report said that before 2003, night images from the space station could be blurry, even with high-speed film and manual tracking, because the station moves at about 17,500 mph. In that same year, astronaut Don Pettit used a drill and assorted parts he found on the station to cobble together a “barn-door tracker,” a lower-tech predecessor to the European Space Agency’s NightPod, which was installed at the space station nine years later.
According to the report, NightPod’s motorized tripod compensates for the space station’s speed, providing what NASA scientist William Stefanov says are the highest-resolution night images from orbit. Satellites collect data more regularly, but the photos tend to be lower resolution. “Now the pictures are clear, but their location may not be, which limits their usefulness,” the NASA news release says.
Citizen science has a better handle on location than the night images from the space station and satellite imagery. The Complutense University of Madrid is spearheading efforts to get citizen input and organize the photos. They have broken down the the images into three components requiring different levels of participation:
1. Dark skies. This is the easiest project, as it requires no scientific expertise. “Anyone can help” by sorting the images into the categories: cities, stars or other objects, said Alejandro Sanchez, doctoral student at Complutense.
“Without the help of citizens, it is almost impossible to use these images scientifically. Algorithms cannot distinguish between stars, cities and other objects, such as the moon. Humans are much more efficient for complex image analysis,” he said.
Robots for the future jobsite, flying drones for delivering packages and reality capture were all part of the show at Tuesday morning’s Mainstage presentation at Autodesk University 2013. Clearly, these technology directions are dependent upon location and geospatial technology.
Eric Webster, vice president of Exelis Weather Systems, talked recently about the company’s efforts along with NASA Langley Research Center to evaluate an Exelis instrument to determine its effectiveness for measuring CO2 from space.
Mid-January 2013 air quality proved to be dangerous to the health of Beijing residents and those of many other cities in China. Authorities warned people to stay indoors as the nation faced one of the worst periods of air quality in recent history. Factories were government-ordered to scale back emissions. According to news reports, hospitals experienced more than 20 to 30 percent increase in patients complaining of respiratory issues.
According to NASA Earth Observatory, the Moderate Resolution Imaging Spectroradiometer (MODIS) on NASA’s Terra satellite acquired these natural-color images of northeastern China on January 14 (top) and January 3, 2013. The top image shows extensive haze, low clouds, and fog over the region. The brightest areas tend to be clouds or fog, which have a tinge of gray or yellow from the air pollution. Other cloud-free areas have a pall of gray and brown smog that mostly blots out the cities below. In areas where the ground is visible, some of the landscape is covered with lingering snow from storms in recent weeks. (Snow is more prominent in the January 3 image.)
High resolution imagery of sub-meter – less than 40 inches – is only available from GeoEye, DigitalGlobe, Astrium Geo, and ImageSat. It is what the stuff of Google is made of. GeoEye and DigitalGlobe represent approximately 75% of this market, and 2/3 of their revenue is tied to the U.S. government. There are lots of free, government sources of satellite imagery like Landsat, and weather satellites from NASA and NOAA, but these are not high-resolution satellites that can zoom in on your house, or support 3D modeling for engineering and virtual reality-type applications.
Read about why U.S. commercial satellite imagery is important:
The mountains of northeastern Oman are rugged, dry, and as much as 2,500 meters (8,200 feet) above sea level. Yet millions of years ago, parts of these mountains were at the bottom of the sea. Actually, they were beneath it.
According to several top scientists, the March heat wave that has shattered records across a wide swath of the U.S. bears some of the hallmarks of global warming.
In email conversations, those same scientific researchers who specialize in studying the role climate change plays in influencing individual extreme events — a burgeoning field known as “extreme event attribution” — said global warming may have made March’s soaring temperatures more likely to occur, although they add that natural variability has played a key role as well.
Areas with warmer than average temperatures are shown in red; near-normal temperatures are white; and areas that were cooler than the 2000-2011 base period are blue. Photograph: Terra/MODIS/NASA
The Change Matters viewer from Esri can show how your area has changed over a given time period, say for instance, from 1988 to 1990. Las Vegas is known for its phenomenal sprawl over the past four decades. Time-lapseimages from the Landsat earth monitoring satellites reveal in false-color, multispectral imagery how urban sprawl has stretched out from Nevada’s “Sin City” over the past four decades.
This latest video was posted by NASA in honor of the 28th anniversary of Landsat 5’s launch on March 1, but the pictures actually go back to 1972, when the Landsat program began.