See intricate cloud patterns in the northern hemisphere of Jupiter in this new view taken by NASA’s Juno spacecraft.
The color-enhanced image was taken on April 1 at 2:32 a.m. PST (5:32 a.m. EST), as Juno performed its twelfth close flyby of Jupiter. At the time the image was taken, the spacecraft was about 7,659 miles (12,326 kilometers) from the tops of the clouds of the planet at a northern latitude of 50.2 degrees.
Citizen scientist Kevin M. Gill processed this image using data from the JunoCam imager.
This cool video shows a time lapse (90 minutes into 2 minutes) of the SpaceX Dragon approaching the ISS for capture by the robotic arm this past Wednesday:
This video is about the entrepreneurial company Alpha Space, which
owns and operates the MISSE, an orbiting commercial science facility permanently installed on the exterior of the International Space Station. Alpha Space, a woman- and minority-owned company, serves the Space Research, Testing, and Materials Science communities with turn-key, fixed price services that make getting science and test elements safely into space, and data and materials back to earth, as simple and inexpensive as possible. If it fits, it flies.
Note that both the Falcon 9 first stage booster and the Dragon spacecraft had flown before, illustrating the progress SpaceX is making towards routine reuse of space transport systems.
On Wednesday the Dragon caught up with the ISS and was captured by the station’s robotic arm of the station under the control of Japanese astronaut NorishigeKanai, who .brought it in for berthing to the Harmony module:
Pretty wild, right? Now what if we told you the video contains only a fraction of the total number of forest imagery Planet collects in a day — in this case, around 95,000 images. Planet collects a massive amount of data each day and has around 500 images for any given location on Earth. To extract “forests” from this data, we used an algorithm built to detect forest cover, dense green imagery, and high near-infrared averages.
To help people actually “see the forests for the trees,” we then applied more filters to those 95,000 images so those with lots of cloud cover or with visible defects were removed. (Fun fact: it would take around 30 minutes to watch all 95,000 images at 5 images per second — not exactly optimized for social.) Afterward, we organized imagery by continent and built an animation to showcase the scale and diversity of forests globally.
Such imagery is interesting but can also generated real data on the major problem of deforestation:
Of course, forests are not always untouched, pristine places, but dynamic environments that change dramatically with human interaction. Sadly, the world loses an area of forest the size of 48 football fields every minute due to deforestation and forest degradation.