Update on June 28, 2022: Drumroll please…..🥁🥁🥁🥁🥁🥁 ….the answer is….PARAMARIBO, SURINAME. The natural-color image was acquired in June 2022 by the satellite’s Operational Land Imager on Landsat 8. Read more about Paramaribo in our June 27 Image of the Day. Congratulations to Firdous Khodabaks, Corey TM, and Nerdonna for being among the first readers to correctly identify the location. Thanks also for sharing interesting details about oil refining, recent flooding, and the presidential palace.
Every month on Earth Matters, we offer a puzzling satellite image. The June 2022 puzzler is shown above. Your challenge is to use the comments section to tell us where it is, what we are looking at, and why it is interesting.
How to answer. You can use a few words or several paragraphs. You might simply tell us the location, or you can dig deeper and offer details about what satellite and instrument produced the image, what spectral bands were used to create it, or what is compelling about some obscure feature. If you think something is interesting or noteworthy, tell us about it.
The prize. We cannot offer prize money or a trip on the International Space Station, but we can promise you credit and glory. Well, maybe just credit. Within a week after a puzzler image appears on this blog, we will post an annotated and captioned version as our Image of the Day. After we post the answer, we will acknowledge the first person to correctly identify the image at the bottom of this blog post. We also may recognize readers who offer the most interesting tidbits of information. Please include your preferred name or alias with your comment. If you work for or attend an institution that you would like to recognize, please mention that as well.
Recent winners. If you have won the puzzler in the past few months, or if you work in geospatial imaging, please hold your answer for at least a day to give less experienced readers a chance.
Releasing Comments. Savvy readers have solved some puzzlers after a few minutes. To give more people a chance, we may wait 24 to 48 hours before posting comments. Good luck!
Every month on Earth Matters, we offer a puzzling satellite image. The January 2022 puzzler is shown above. Your challenge is to use the comments section to tell us where it is, what we are looking at, and why it is interesting.
How to answer. You can use a few words or several paragraphs. You might simply tell us the location, or you can dig deeper and offer details about what satellite and instrument produced the image, what spectral bands were used to create it, or what is compelling about some obscure feature. If you think something is interesting or noteworthy, tell us about it.
The prize. We cannot offer prize money or a trip on the International Space Station, but we can promise you credit and glory. Well, maybe just credit. Within a week after a puzzler image appears on this blog, we will post an annotated and captioned version as our Image of the Day. After we post the answer, we will acknowledge the first person to correctly identify the image at the bottom of this blog post. We also may recognize readers who offer the most interesting tidbits of information. Please include your preferred name or alias with your comment. If you work for or attend an institution that you would like to recognize, please mention that as well.
Recent winners. If you have won the puzzler in the past few months, or if you work in geospatial imaging, please hold your answer for at least a day to give less experienced readers a chance.
Releasing Comments. Savvy readers have solved some puzzlers after a few minutes. To give more people a chance, we may wait 24 to 48 hours before posting comments. Good luck!
February 1 update: The answer is suspended sediment in the Gulf of Khambhat, off the northwest coast of India. Congratulations to K Suraj, who correctly identified the Gujarat region of India and the Arabian Sea coast. Read more in this Image of the Day.
NASA will launch four Earth science missions in 2022 to provide scientists with more information about fundamental climate systems and processes including extreme storms, surface water and oceans, and atmospheric dust. Scientists will discuss the upcoming missions at the American Geophysical Union’s (AGU) 2021 Fall Meeting, hosted in New Orleans between Dec. 13 and 17.
NASA has a unique view of our planet from space. NASA’s fleet of Earth-observing satellites provides high-quality data on Earth’s interconnected environment, from air quality to sea ice. These four missions will enhance the ability to monitor our changing planet:
Measuring Tropical Cyclones – Time-Resolved Observations of Precipitation structure and storm Intensity with a Constellation of Smallsats (TROPICS)
NASA’s TROPICS mission aims to improve observations of tropical cyclones. Six TROPICS satellites will work in concert to provide microwave observations of a storm’s precipitation, temperature, and humidity as quickly as every 50 minutes. Scientists expect the data will help them understand the factors driving tropical cyclone intensification and will contribute to weather forecasting models.
In June 2021, the first pathfinder, or proof of concept satellite of the constellation started collecting data, including from Hurricane Ida in August 2021. The TROPICS satellites will be deployed in pairs of two over three different launches, expected to be completed by July 31, 2022.
Each satellite is about the size of a loaf of bread and carries a miniaturized microwave radiometer instrument. Traveling in pairs in three different orbits, they will collectively observe Earth’s surface more frequently than current weather satellites making similar measurements, greatly increasing the data available for near real-time weather forecasts.
The TROPICS team is led by Principal Investigator Dr. William Blackwell at MIT’s Lincoln Laboratory in Lexington, Massachusetts, and includes researchers from NASA, the National Oceanic and Atmospheric Administration (NOAA), and several universities and commercial partners. NASA’s Launch Services Program, based at the agency’s Kennedy Space Center in Florida, will manage the launch service.
“The coolest part of this program is its impact on helping society,” Blackwell said. “These storms affect a lot of people. The higher frequency observations provided by TROPICS have the potential to support weather forecasting that may help people get to safety sooner.”
Studying Mineral Dust — Earth Surface Mineral Dust Source Investigation (EMIT)
Winds kick up dust from Earth’s arid regions and transport the mineral particles around the world. The dust can influence the radiative forcing — or the balance between the energy that comes toward Earth from the Sun, and the energy that Earth reflects back out into space — hence the temperature of the planet’s surface and atmosphere. Darker, iron-laden minerals tend to absorb energy, which leads to heating of the environment, while brighter, clay-containing particles scatter light in a way that may lead to cooling. In addition to affecting regional and global warming of the atmosphere, dust can affect air quality and the health of people worldwide, and when deposited in the ocean, can also trigger blooms of microscopic algae.
The goal of the Earth Surface Mineral Dust Source Investigation (EMIT) mission is to map where the dust originates and estimate its composition so that scientists can better understand how it affects the planet. Targeted to launch in 2022, EMIT has a prime mission of one year and will be installed on the International Space Station. EMIT will use an instrument called an imaging spectrometer that measures visible and infrared light reflecting from surfaces below. This data can reveal the distinct light-absorbing signatures of the minerals in the dust that helps to determine their composition.
“EMIT will close a gap in our knowledge about arid land regions of our planet and answer key questions about how mineral dust interacts with the Earth system,” said Dr. Robert Green, EMIT principal investigator at NASA’s Jet Propulsion Laboratory.
Observing Earth’s Storms — Joint Polar Satellite System (JPSS)
Forecasting extreme storms many days in advance requires capturing precise measurements of the temperature and moisture in our atmosphere, along with ocean surface temperatures. The NOAA/NASA Joint Polar Satellite System satellites provide this critical data, which is used by forecasters and first responders. The satellites also tell us about floods, wildfires, volcanoes, smog, dust storms, and sea ice.
“JPSS satellites are a vital component of the global backbone of numerical weather prediction,” said JPSS Program Science Adviser Dr. Satya Kalluri.
The JPSS satellites circle Earth from the North to the South Pole, taking data and images as they fly. As Earth rotates under these satellites, they observe every part of the planet at least twice a day.
The Suomi-NPP (National Polar orbiting-Partnership) and NOAA-20 satellites are currently in orbit. The JPSS-2 satellite is targeted to launch in 2022 from Vandenberg Space Force Base in California on a United Launch Alliance Atlas V rocket. Three more satellites will launch in the coming years, providing data well into the 2030s. NASA’s Launch Services Program, based at the agency’s Kennedy Space Center in Florida, will manage the launch service.
The Surface Water and Ocean Topography (SWOT) mission will help researchers determine how much water Earth’s oceans, lakes, and rivers contain. This will aid scientists in understanding the effects of climate change on freshwater bodies and the ocean’s ability to absorb excess heat and greenhouse gases like carbon dioxide.
NASA’s Launch Services Program, based at the agency’s Kennedy Space Center in Florida, will manage the launch service, which is targeted for November 2022. SWOT will launch on a SpaceX Falcon 9 rocket from Vandenberg Space Force Base in California.
The SUV-size satellite will measure the height of water using its Ka-band Radar Interferometer, a new instrument that bounces radar pulses off the water’s surface and receives the return signals with two different antennas at the same time. This measurement technique allows scientists to precisely calculate the height of the water. The data will help with tasks like tracking regional shifts in sea level, monitoring changes in river flows and how much water lakes store, as well as determining how much freshwater is available to communities around the world.
“SWOT will address the ocean’s leading role in our changing weather and climate and the consequences on the availability of freshwater on land,” said Dr. Lee-Lueng Fu, SWOT project scientist at NASA’s Jet Propulsion Laboratory.
The mission is a collaboration between NASA and the French space agency Centre National d’Etudes Spatiales, with contributions from the Canadian Space Agency and the United Kingdom Space Agency.
Since its launch on the web in April 1999, NASA Earth Observatory has published more than 15,500 image-driven stories about our planet. In celebration of our 20th anniversary — as well as the 50th anniversary of Earth Day — we want you to help us choose our all-time best image.
For now, we need you to help us brainstorm: what images or stories would you nominate as the best in the Earth Observatory collection? Do you go for the most beautiful and iconic view of our home? the most newsworthy? the most scientifically important? the most inspiring?
Search our site and then post the URLs of your favorite Earth images in the comments section below. Please send your ideas by March 17.
In late March 2020, we will include some of your selections in Tournament Earth, a head-to-head contest to vote for the best of the best from our archives. Each week, readers will pick from pairs of images as we narrow down the field from 32 nominees to one champion.
The all-time best Earth Observatory image will be announced on April 29, 2020, the end of our anniversary year.
If you want some inspiration as you begin your search, take a look at the galleries listed below. Or use our search tool (top left) to find your favorite places, images, and events.
More than 20 years ago, NASA scientist Ralph Kahn authored a column for the Los Angeles Times anticipating the launch of a new satellite — and ultimately a whole fleet of satellites — that would study Earth.
“We want a picture of Earth that is more specific about what is happening to the climate, which after all is what makes the planet habitable,” he wrote. And that picture needed to be rich with detail. “Precisely where are deserts encroaching on grasslands? In what regions is it raining more than usual? Exactly how much are glaciers shrinking, and at what rate is the sea level rising?” he asked.
The first satellite, Terra (originally named EOS-AM), roared into space on December 18, 1999, began collecting data in February and March 2000, and collected its first complete day of MODIS data on April 19, 2000.
“About every seven weeks, the satellite archives will receive as much data from EOS-AM as are held in all the volumes of the Library of Congress. And the EOS-AM satellite alone is supposed to keep pouring numbers down from the sky, relentlessly, for at least six years,” Kahn wrote.
Amazingly, all those numbers from Terra continue to pour down 20 years later. Over time, the flood of data from Terra and several other satellites has turned into scientific discoveries. Bit by bit, the questions Kahn initially posed in his column have been answered.
We can say now that sea level is rising at 3.3 millimeters (.13 inches) per year. We can show you a map of where exactly green vegetation has become more common and where it has faded. We can point you to a long-term dataset that will show you precisely where rain has fallen over the past two decades. And we can give you a tour of the world’s glaciers that shows you where they are and many examples of where they are shrinking.
The question to grapple with now: what do we with all this information?
The UK’s Antarctic Place-names Committee has agreed that seven ice features in western Antarctica should be named for Earth-observation satellites. One of them is Landsat Ice Steam.
The new designations were announced on June 7, 2019. The ice features are all located in Western Palmer Land on the southern Antarctic Peninsula.
The seven features ring George VI Sound like pearls on a necklace. The new names, as officially entered into the British Antarctic Territory Gazetteer, are (from west to east): Landsat Ice Steam, ALOS Ice Rumples, Sentinel Ice Stream, GRACE Ice Stream, Envisat Ice Stream, Cryosat Ice Stream, and ERS Ice Stream.
The UK has submitted the new names for the fast-moving ice features to Scientific Committee on Antarctic Research (SCAR), which maintains a gazetteer or registry, of names officially adopted by individual nations. Under the Antarctic Treaty, signatory nations confer on geographic feature names, but each nation’s naming authority formally adopts new names. The U.S. Board on Geographic Names will meet in July and may discuss at that meeting whether the names adopted by the UK also will be adopted by the US. The question of using the term “glacier” for the ice features instead of “ice stream” is also part of each nation’s naming decision.
The new names were proposed by Anna Hogg, a glaciologist with the Center for Polar Observation and Modelling at the University of Leeds. In research published in 2017, Hogg found that glaciers draining from the Antarctic Peninsula were accelerating, thinning, and retreating, with implications for global sea level rise. The fast-moving glaciers that Hogg and colleagues tracked with radar and optical satellite imagery were unnamed. In her paper, the glaciers had to be designated by latitude and longitude.
Satellites had enabled Hogg and her team to clock the speed of these nameless ice features—some with rates faster than 1.5 meters/day. In tribute to the spaceborne instruments, Hogg came up with a way to describe the fast-moving ice features more succinctly—name them after the satellites that had helped her understand their behavior.
Hogg proposed to the U.K.’s Antarctic Place-names Committee that the features should be named for Landsat, Sentinel, ALOS PALSAR, ERS, GRACE, CryoSat, and Envisat. She was notified in early June that the committee had agreed to adopt the names, which provide a way to recognize international collaboration, as fifteen space agencies currently collaborate on Antarctic data collection.
“Satellites are the heroes in my science of glaciology,” Hogg told the BBC. “They’ve totally revolutionized our understanding, and I thought it would be brilliant to commemorate them in this way.”
Naming the glaciers after satellites is also a celebration of data fusion. “Our understanding of ice velocities and ice sheet mass balance has come from putting many different remote sensing data sets together—optical, radar, gravity, and laser altimetry,” said Jeff Masek, the NASA Landsat 9 Project Scientist. “Landsat has been a key piece in assembling that larger puzzle. Naming an ice stream after Landsat is a fitting way to recognize the value of long-term Earth Observation data for measuring changes in Earth’ polar regions.”
Read more from NASA’s Landsat science and outreach team, including the history of Antarctic observation with Landsat. Read more about all of the glaciers and their namesake satellites, as told by the European Space Agency. And read about the island discovered by and named for Landsat, and the woman who discovered it.
Correction, June 27, 2019: SCAR’s role in the Antarctic naming process was incorrectly described in the earlier version of this article. Updates were provided by Dr. Scott Borg, Deputy Assistant Director of the National Science Foundation’s Directorate for Geosciences, and Peter West, the Outreach Program managers for NSF’s Office of Polar Programs, to correctly describe the naming process.
Karenia brevis cells. Image credit: Mote Marine Laboratory
Put a sample of water from the Gulf of Mexico under a microscope, and you will often find cells of Karenia brevis swimming around. The microscopic algae—the species of phytoplankton responsible for Florida’s worst red tide outbreaks—produce brevetoxin, a compound that in high concentrations can kill wildlife and cause neurological, respiratory, and gastrointestinal issues for people.
Under normal conditions, water quality tests find, at most, a few hundred K. brevis cells per liter of water—not enough to cause problems. But in August 2018, in the midst of one of the most severe red tide outbreaks to hit Florida’s Gulf Coast in a decade, water samples regularly contained more than one million K. brevis cells per liter.
Natural-color MODIS satellite image of algae staining the water off the coast of Fort Myers on August 19, 2018. Image from the University of South Florida Near Real-Time Integrated Red tide Information System (IRIS).
That was enough to stain large swaths of coastal waters shades of green and brownish-red and leave beaches littered with rotting fish carcasses. Roughly 100 manatees, more than 200 sea turtles, and at least 12 dolphins have been killled by red tides, according to preliminary estimates. For much of August, the toxic bloom stretched about 130 miles (200 kilometers) along Florida’s Gulf coast, from roughly Tampa to Fort Myers. Though the bloom has been active since October 2017, it intensified rapidly in July 2018. The damage grew so severe and widespread that Florida’s governor declared a state of emergency in mid-August.
One of the best ways to test for the presence of K. brevis is to analyze water samples collected from boats or beaches. State environmental agencies do this on a regular basis, but understanding the full extent and evolution of fast-changing blooms, or predicting where they will move with ground sampling alone is a challenge.
Sampling red tide in 2018 (left). An aerial view of red tide in 2005 (right). Photo credits: Florida Fish and Wildlife Conservation Commission.
That’s why key red tide monitoring systems, such as the National Oceanic and Atmospheric Administration’s (NOAA’s) Harmful Algal Bloom Forecast System and the Near Real-Time Integrated Red Tide Information System (IRIS) from the University of South Florida, make use of satellite data from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensors on NASA’s Aqua and Terra satellites. These sensors pass over Florida’s Gulf Coast twice a day, acquiring data at several wavelengths that can be useful for identifying and mapping the spatial extent of algal blooms. Other satellite sensors such as the Visible Infrared Imaging Radiometer Suite (VIIRS) on Suomi NPP and the Ocean and Land Color Instrument (OCLI) on Sentinel-3 collect information that can be used to monitor red tides as well.
A screenshot from the University of South Florida’s Near Real-Time Integrated Red tide Information System (IRIS). The image shows various types of data captured by MODIS sensor on Terra on August 19, 2018. Solar-stimulated fluorescence data (NFLH) is particularly useful for locating algal blooms. Image Credit: USF/IRIS
Despite the utility of satellite observations, there are some significant challenges to interpreting satellite data of algal blooms in shallow, coastal waters, explained oceanographer Chuanmin Hu of the University of South Florida. Chief among them: it can be quite difficult to distinguish between algal blooms, suspended sediment, and colored dissolved organic matter (CDOM) that flows into coastal areas.
The Karenia brevis bloom expanded and intensified in late-July. This fluorescence data comes from the OCLI sensor on Sentinel 3. Image courtesy of Rick Stumpf, NOAA.
To get around this problem and make satellites better at pinpointing algal blooms, Hu and colleagues at the University of South Florida have developed a red tide monitoring system that makes use of MODIS observations of fluorescence, which algal bloom emit in response to exposure to sunlight. “If we have fluorescence data to go along with a natural-color image from MODIS, we can say with a high degree of confidence where the algal blooms are and where the sensor is just detecting sediment or CDOM,” he said. When fluorescence data is available, the Florida Fish and Wildlife Commission pushes it out to the public as part of its red tide status updates (see the August 21 update below).
Likewise, NOAA has combined a fluorescence method with a long-standing technique that identifies recent increases in chlorophyll concentration, the combination improves the identification of likely K. brevis blooms — information that then gets incorporated in NOAA’s HAB Forecast System, noted Richard Stumpf, an oceanographer with NOAA.
K. brevis cell abundance shown on an ocean color satellite image from the IRIS system. Warmer colors indicate higher levels of chlorophyll a, an indicator of algae. Cloudy areas are gray. Circles indicate locations where officials tested water samples on the ground. Image Credit: FFW/USF/IRIS.
However, that still leaves some big problems—only about ten percent of MODIS passes collect usable fluorescence data. The rest of the time images are marred by either sunglint or clouds. And the algorithm that scientists use to detect algal blooms with MODIS does not work well within one kilometer of the coast—the part that is of the greatest interest to beachgoers and boaters.
The Terra satellite. Image Credit: NASA
To help fill in the gaps, NASA’s Applied Science program is working with several partner institutions on a smartphone app called HABscope. The app, developed by Gulf of Mexico Observing System (GCOOS) researcher Robert Currier, makes it possible for trained water samplers (typically lifeguards who participate in Mote Marine Laboratory’s Beach Conditions Reporting System) to collect video of water using microscopes attached to their smartphones.
After recording, HABscope uploads videos to a cloud-based server for automatic analysis by computer software. The software rapidly counts the number of K. brevis cells in a water sample by using technology similar to that found in facial recognition apps. But rather than focusing on facial features, the software looks for a particular pattern in the movement of K. brevis cells.
K. brevis are vigorous swimmers, often using a pair of long, whip-like flagella to migrate vertically about 10 to 20 meters (33 to 66 feet) each day. They chart a zig-zagging, corkscrew-shaped path that allows the software to easily pick them out amidst the cast of other phytoplankton found in Gulf of Mexico water samples.
The data about K. brevis abundance at various locations along the coast is then fed into a respiratory distress forecasting tool managed by NOAA. “Respiratory distress forecasts can now be produced 1 to 2 times per day for specific beaches along the Florida Gulf Coast,” said Stumpf. “Previous to this project, these forecasts were issued at most twice a week, and only as general statements about risk within a county. The combination of earth observations with rapid field monitoring will increase the accuracy and usefulness of the forecasts.”
The research team that developed the HABscope app included oceanographers, ecologists, computer application developers, and public health experts. Photo Credit: Mote Marine Laboratory.
Piers Sellers during a spacewalk outside of the International Space Station. Credit: NASA
Astronaut and scientist Piers Sellers is no longer with us, but his words still resonate.
A posthumous plea from Sellers arrived in July 2018 in the form of an article in PNAS. The topic was one that he cared deeply about: building a better space-based system for observing and understanding the carbon cycle and its climate feedbacks.
As NASA’s Patrick Lynch reported, Sellers wrote the paper along with colleagues at NASA’s Jet Propulsion Laboratory and the University of Oklahoma. Work on the paper began in 2015, and Sellers continued working with his collaborators up until about six weeks before he died. They carried on the research and writing of the paper until its publication in July 2018.
The carbon cycle refers to the constant flow of carbon between rocks, water, the atmosphere, plants, soil, and fossil fuels. Climate change feedbacks—natural effects that may amplify or diminish the human emissions of greenhouse gases—are one of the most poorly understood aspects of climate science.
Here is how Sellers and colleagues characterized the current state of the carbon cycle in the PNAS article:
“It is quite remarkable and telling that human activity has significantly altered carbon cycling at the planetary scale. The atmospheric concentrations of carbon dioxide (CO2) and methane (CH4) have dramatically exceeded their envelope of the last several million years.”
They also explain in detail how we have altered the carbon cycle:
“The perturbation by humans occurs first and foremost through the transfer of carbon from geological reservoirs (fossil fuels) into the active land–atmosphere–ocean system and, secondarily, through the transfer of biotic carbon from forests, soils, and other terrestrial storage pools (e.g., industrial timber) into the atmosphere.”
Scientists understand the broad outlines of how this works relatively well. What worried Sellers was the potential curve balls the climate might throw at us with unanticipated feedbacks. They addressed some of the the challenges in understanding how climate change might affect concentrations of carbon dioxide and methane through feedbacks.
For carbon dioxide:
“While experimental studies consistently show increases in plant growth rates under elevated CO2 (termed carbon dioxide fertilization), the extrapolation of even the largest-scale experiments to ecosystem carbon storage is problematic, and some ecologists have argued that the physiological response could be eliminated entirely by restrictions due to limitation by nutrients or micronutrients. However, there is recent evidence from the atmosphere that suggests increasing CO2 enhances terrestrial carbon storage, leading to the continued increase in land uptake paralleling CO2 concentrations.”
As we detailed in a separate story, the situation is even more complicated for methane. Sellers and his colleagues explained some of the challenges in understanding the feedbacks that affect that potent greenhouse gas this way:
“Atmospheric methane is currently at three times its preindustrial levels, which is clearly driven by anthropogenic emissions, but equally clearly, some of the change is because of carbon-cycle–climate feedbacks. Atmospheric CH4 rose by about 1 percent per year in the 1970s and 1980s, plateaued in the 1990s, and resumed a steady rise after 2006. Why did the plateau occur? These trends in atmospheric methane concentration are not understood. They may be due to changes in climate: increases in temperature, shifts in the precipitation patterns, changes to wetlands, or proliferation in the carbon availability to methane-producing bacteria.”
The consequences of the gaps in understanding could be significant.
“Terrestrial tropical ecosystem feedbacks from the El Nino drove an ∼2-PgC increase in global CO2 emissions in 2015. If emissions excursions such as this become more frequent or persistent in the future, agreed-upon mitigation commitments could become ineffective in meeting climate stabilization targets. Earth system models disagree wildly about the magnitude and frequency of carbon–climate feedback events, and data to this point have been astonishingly ineffective at reducing this uncertainty.”
NASA’s current missions and partnership missions in orbit. Credit: NASA
Sellers and his colleagues do offer a solution. It has much to do with satellites.
“Space-based observations provide the global coverage, spatial and temporal sampling, and suite of carbon cycle observations required to resolve net carbon fluxes into their component fluxes (photosynthesis, respiration, and biomass burning). These space-based data substantially reduce ambiguity about what is happening in the present and enable us to falsify models more effectively than previous datasets could, leading to more informed projections.”
Today’s blog is re-posted from NASA.gov in recognition of the agency’s Earth Day activities.
NASA’s Worldview app lets you explore Earth as it looks right now or as it looked almost 20 years ago. See a view you like? Take a snapshot and share your map with a friend or colleague. Want to track the spread of a wildfire? You can even create an animated GIF to see change over time.
Through an easy-to-use map interface, you can watch tropical storms developing over the Pacific Ocean; track the movement of icebergs after they calve from glaciers and ice shelves; and see wildfires spread and grow as they burn vegetation in their path. Pan and zoom to your region of the world to see not only what it looks like today, but to investigate changes over time. Worldview’s nighttime lights layers provide a truly unique perspective of our planet.
What else can you do with Worldview? Add imagery by discipline, natural hazard, or key word to learn more about what’s happening on this dynamic planet. View Earth’s frozen regions with the Arctic and Antarctic views. Take a look at current natural events like tropical storms, volcanic eruptions, wildfires, and icebergs at the touch of a button using the “events” tab.
https://worldview.earthdata.nasa.gov
Worldview is an open-source project at NASA. All data, software, and services are freely available to anyone for any purpose. You can participate in the software development by visiting:
In July 2016, the lower portion of a valley glacier in the Aru Range of Tibet detached and barreled into a nearby valley, killing nine people and hundreds of animals. The huge avalanche, one of the largest scientists had ever seen, sent a tongue of debris spreading across 9 square kilometers (3 square miles). With debris reaching speeds of 140 kilometers (90 miles) per hour, the avalanche was remarkably fast for its size.
(NASA Earth Observatory image by Joshua Stevens, using modified Copernicus Sentinel 2 data processed by the European Space Agency. Image collected on July 21, 2016.)
Researchers were initially baffled about how it had happened. The glacier was on a nearly flat slope that was too shallow to cause avalanches, especially fast-moving ones. What’s more, the collapse happened at an elevation where permafrost was widespread; it should have securely anchored the glacier to the surface.
Two months later, it happened again — this time to a glacier just a few kilometers away. One gigantic avalanche was unusual; two in a row was unprecedented. The second collapse raised even more questions. Had an earthquake played a role in triggering them? Did climate change play a role? Should we expect more of these mega-avalanches?
(NASA Earth Observatory image by Joshua Stevens and Jesse Allen, using ASTER data from NASA/GSFC/METI/ERSDAC/JAROS, and U.S./Japan ASTER Science Team. Image collected on October 4, 2016.)
Now scientists have answers about how these unusual avalanches happened. There were four factors that came together and triggered the collapses, an international team of researchers reported in Nature Geoscience. The scientists analyzed many types of satellite, meteorological, and seismic data to reach their conclusions. They also sent teams of researchers to investigate the avalanches in the field.
First, increasing snowfall since the mid-1990s caused snow to pile up and start working its way toward the front edge of the glaciers (a process known as surging). Second, a great deal of rain fell in the summer of 2016. As a result, water worked its way through crevasses on the surface and lubricated the undersides of the glaciers. Third, water pooled up underneath the glaciers, even as the edges remained frozen to the ground. Fourth, the glaciers sat on a fine-grained layer of siltstone and clay that became extremely slippery.
Notice the large amounts of silt and clay in the path of the first avalanche. (Photo taken on July 15, 2017, by Adrien Gilbert/University of Oslo)
Earth Observatory checked in with Andreas Kääb (University of Oslo), lead author of the study, to find out more about how the avalanche happened and what it means.
These glaciers were not on a steep slope, but the avalanche moved quite quickly. How did that happen?
Strong resistance by the frozen margins and tongues of the glaciers allowed the pressure to build instead of enabling them to adjust. The glaciers were loading up more and more pressure until the frozen margins suddenly failed. Local people reported a load bang. Once the margins failed, there was nothing at the glacier bed to hold it back, just water-soaked clay.
Your study notes that there was “undestroyed grassy vegetation on the lee side of the hills, suggesting that the fast-moving mass had partially jumped over it.” Are you saying the avalanche was airborne? If so, is that unusual?
Yes, for a small part of the avalanche path. We see this for other large-volume, high-speed avalanches, and it really illustrates the massive amount of energy released. You need quite high speeds in order for debris to jump. For us, the phenomenon is important as validation for the speeds obtained from the seismic signals the avalanches triggered and the avalanche modeling that we did.
Would you say these collapses were a product of climate change?
Climate change was necessary, but other factors that had nothing to do with climate were also critical. The increasing mass of the glaciers since the 1990s and the heavy rains and meltwater in 2016 are connected to climate change. The type of bedrock and the way the edges were frozen to the ground had nothing to do with climate change.
Can we expect to see more big glacial collapses as the world gets warmer?
It’s not clear. Climate change could increase or, maybe even more likely, decrease the probability of such massive collapses. Most glaciers on Earth are actually losing mass (not gaining, like the two glaciers in Tibet were). Also, if permafrost becomes less widespread over time and glacier margins melt, it is less likely that pressure will build up in that way that it did in this case.
I know you used several types of satellite data as part of this analysis. Can you mention a few that yielded particularly useful information?
We used a lot of different sources of data: Sentinel 1 and 2, TerraSAR-X/TanDEM-X, Planet Labs, and DigitalGlobe WorldView. Landsat 8 was absolutely critical because it gave the first and critical indication of the soft-bed characteristics. The entire Landsat series was instrumental for checking the glacier history since the 1980s. We also used declassified Corona data back to the 1960s.
Are these sorts of avalanches likely to happen in other parts of the world?
Honestly, I have no clue at the moment, but we would be much less surprised next time. We know now that this type of collapse can happen under special circumstances. (It happened once before in the Caucasus at Kolka Glacier.) One thing that should be investigated is whether there are other glaciers—especially polythermal ones—with these very fine-grained materials underneath them.
Three dimensional CNES Pléiades image of the avalanches. Processed by Etienne Berthier. Via Twitter.
