Will satellite imagery be able to see the backs of big animals such as lions, tigers, elephants, horses or zebras from space when they venture out in the open? I've not been able to find satellite imagery that captures such animals in the open.
It is technically possible to see big animals, but we are still far from being able to identify them without context information. For commercial satellites, the highest spatial resolution is 31 cm at nadir view (worldview-3), but only in the panchromatic band. For colors, the resolution is still very good (1m24) but only large animals are visible. Only animals with a high contrast are therefore visible (easier to see a horse than a lion) BUT you can also use their shadows for a better detection (helps to identify a giraffe).
One very useful feature to detect animals is the use of thermal infrared. However, this is currently not possible with commercial satellites due to the coarser spatial resolution in this wavelength.
To conclude, even if there are some studies in open savanna or arctic areas where spatial remote sensing is applied to animal counting, it is still very difficult to differentiate the species and even counting is sometimes difficult (like you must look at the spots that moved, but you cannot tell that any spot is an animal). However, given the trends in spatial resolution of commercial satellites (which is no more legally limited to 50cm), one can expect 10-25 cm in a near future, which would look like the cows below (from an aerial photo at 25 cm in true colors, satellites are not (yet) at this resolution. And of course, I am only mentioning commercial satellites for the currently available resolution).
Image Credit: ITC
The black and white image is the satellite image (though GeoEye-1 can do color imagery as well in 1.65 m resolution). The tiny dots peppered across the park are wildebeests.
- First count of individual birds from space
- First complete count of an entire species population
The 4-may-2017 BBC News item Albatrosses counted from space describes an effort to automate the analysis of WorldView-3 (Wikipedia and EOPortal) photos in order to count nesting Albatrosses. It is also described in this week's BBC Podcast of Science in Action (available for the next 29 days).
This is the first case of a bird species being counted individually from space.
All six species of Great Albatross are endangered, these are the largest birds capable of sustained flight.
This is the first case of an entire population of a species has been counted. During mating season the entire population roosts on a few tiny islands.
The project is described in the most recent issue of IBIS:
Fretwell, P. T., Scofield, P. and Phillips, R. A. (2017), Using super-high resolution satellite imagery to census threatened albatrosses. Ibis. doi:10.1111/ibi.12482
The study was based on WorldView-3 VHR satellite images, with the visible bands (2/3/5) pan-sharpened to provide a 31-cm resolution colour image using the Gram Schmidt algorithm in ENVI image processing software.
Of the seven visible light channels, 2, 3, and 5 appear to refer to Blue, Green and Red.
Illustration of WorldView-3 Earth observing telescope, from here
Whales seen from space, and not by the USS Enterprise.
The BBC item Scientists count whales from space includes an audio interview with Hannah Cubaynes and says:
The researchers, from the British Antarctic Survey (BAS), have been using the highest resolution satellite pictures available.
Even when taken from 620km up, this imagery is sharp enough to capture the distinctive shapes of different species.
The team will soon conduct an audit of fin whales in the Mediterranean.
The first-of-its-kind assessment will be partly automated by employing a computer program to search through the satellite data.
[...] This new approach from BAS has drawn on imagery from the WorldView-3 spacecraft operated by the American company DigitalGloble.
WorldView-3 is able to discern things at the Earth's surface as small as 31cm across. Only restricted military systems see finer detail.
"Satellites have improved so much with their spatial resolution," explained Hannah Cubaynes, who is affiliated to both Cambridge University and BAS.
"For the first time we've been able to see features that are truly distinctive of whales, such as their flippers and flukes."
[...] Spacecraft will gather huge image swaths when they pass over the ocean. With the exceptional resolution now available, counting individual whales becomes practical. In a 31cm-resolution image, for instance, a grey whale's fluke will take up 10 pixels.
[...] Ms Cubaynes and colleagues have published their research in the journal Marine Mammal Science.
above: "At a resolution of 31cm, species identification becomes much easier" Source
above: "Fin whale: Colour contrast helps with their identification" Source
Whales from space: Four mysticete species described using new VHR satellite imagery Cubaynes, H. C, et al, 2018 Marine Mammal Science
In the NPR news article Have You Herd? Farmer Writes A Memoo Using Cows And Satellite Imagery the following YouTube video is linked. Lower your volume slightly before playing:
The BBC News article Satellites to monitor whale strandings from space describes the use of the WordView-2 satellite to image mass standings of whales, and references the recent Open Access (non-paywalled) paper in PLOS ONE Using remote sensing to detect whale strandings in remote areas: The case of sei whales mass mortality in Chilean Patagonia which describes in detail the automated image processing techniques for identification of stranded whales potentially sooner than they could be identified and surveyed by aircraft.
The WorldView-2 satellite will see features at the surface larger than half a metre across
Fig 4. Image chips and spectral profiles from ten whales. At the top are whales from Image 1 and the bottom are from Image 2. The upper row displays detailed pan-sharpened images (spatial resolution 0.5 m) shown using visible bands of the satellite imagery. The second row is the multispectral band (2 m resolution pixels) used in the spectral analysis with the area of pixels chosen for each profile highlighted in red. The third row are the spectral profiles for each image showing Top-Of-Atmosphere radiance in the Y axis and wavelength in nanometers in the X axis. Imagery from DigitalGlobe Products. WorldView2 © 2019 DigitalGlobe, Inc., a Maxar company.