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Ponds have long been neglected by science, but we can't overlook these diverse and important nature hotspots any more, say Jeremy Biggs and Penny Williams

To understand the power – and limitations – of artificial intelligence, we need information, not hype. Alex Wilkins explores what four new books, from Ray Kurzweil, Nick Bostrom, Neil Lawrence and Shannon Vallor, offer

The El Niño climate pattern has contributed to a year of record-breaking temperatures. We must bend the curve of carbon emissions before the next one arrives

The El Niño climate pattern has contributed to a year of record-breaking temperatures. We must bend the curve of carbon emissions before the next one arrives

We’ll soon be playing 'Star Wars: Hunters' on Nintendo Switch and mobile phones, and the latest gameplay trailer has a fun look at game modes and more.

A new project provides special 3D “experiences” on Instagram using data from NASA’s Chandra X-ray Observatory and other telescopes through augmented reality (AR), allowing users to travel virtually through objects in space. These new experiences of astronomical objects – including the debris fields of exploded stars – are being released to help celebrate the 25th anniversary of operations from Chandra, NASA’s flagship X-ray telescope.  

In recent years, Instagram experiences (previously referred to as filters) of NASA mission control, the International Space Station, and the Perseverance Rover on Mars have allowed participants to virtually explore what NASA does. This new set of Chandra Instagram filters joins this space-themed collection.

These four images showcase the 2D captured views of the cosmic objects included in the new augmented reality 3D release. Presenting multiwavelength images of the Vela Pulsar, Tycho’s Supernova Remnant, Helix Nebula, and Cat’s Eye Nebula that include Chandra X-ray data as well as optical data in each, and for the Helix, additional infrared and ultraviolet data.Vela Pulsar: X-ray: NASA/CXC/SAO; Optical: NASA/ESA/STScI; Image processing: NASA/CXC/SAO/J. Schmidt, K. Arcand; Tycho’s Supernova Remnant: X-ray: NASA/CXC/SAO; Optical: DSS; Image Processing: NASA/CXC/SAO/N. Wolk; Helix Nebula: X-ray: NASA/CXC/SAO; UV: NASA/JPL-Caltech/SSC; Optical: NASA/ STScI/M. Meixner, ESA/NRAO/T.A. Rector; Infrared:NASA/JPL-Caltech/K. Su; Image Processing: NASA/CXC/SAO/N. Wolk and K. Arcand; Cat’s Eye Nebula: X-ray: NASA/CXC/SAO; Optical: NASA/ESA/STScI; Image Processing: NASA/CXC/SAO/J. Major, L. Frattare, K. Arcand

“We are excited to bring data from the universe down to earth in this way,” said Kimberly Arcand, visualization and emerging technology scientist at the Chandra X-ray Center. “By enabling people to access cosmic data on their phones and through AR, it brings Chandra’s amazing discoveries literally right to your fingertips.”

The new Instagram experiences are created from 3D models based on data collected by Chandra and other telescopes along with mathematical models. Traditionally, it has been very difficult to gather 3D data of objects in our galaxy due to their two-dimensional projection on the sky. New instruments and techniques, however, have helped allowed astronomers in recent years to construct more data-driven models of what these distant objects look like in three dimensions.

These advancements in astronomy have paralleled the explosion of opportunities in virtual, extended, and augmented reality. Such technologies provide virtual digital experiences, which now extend beyond Earth and into the cosmos. This new set of Chandra Instagram experiences was made possible by a collaboration including NASA, the Smithsonian Institution, and students and researchers at Brown University.

These Instagram experiences also include data sonifications of the celestial objects. Sonification is the process of translating data into sounds and notes so users can hear representations of the data, an accessibility project the Chandra team has led for the past four years.

“These Chandra Instagram experiences are another way to share these cosmic data with the public,” said Arcand. “We are hoping this helps reach new audiences, especially those who like to get their information through social media.”

The objects in the new Chandra Instagram experience collection include the Tycho supernova remnant, the Vela Pulsar, the Helix Nebula, the Cat’s Eye Nebula, and the Chandra spacecraft. The 3D models of the first three objects were done in conjunction with Sal Orlando, an astrophysicist at Italy’s National Institute for Astrophysics (INAF) in Palmero. The Cat’s Eye Nebula was created with data from Ryan Clairmont, physics researcher and undergraduate at Stanford University. Arcand worked with Brown’s Tom Sgouros and his team, research assistant Alexander Dupuis and undergraduate Healey Koch, on the Chandra Instagram filters.

The experiences include text that explains what users are looking at. The effects are free and available on Instagram on mobile devices for at least six months, and some will remain viewable in perpetuity on the Smithsonian’s Voyager 3D website.

“There is a lot of rich and beautiful data associated with these models that Healey and I looked to bring in, which we did by creating the textures on the models as well as programming visual effects for displaying them in AR,” said Dupuis.

NASA’s Marshall Space Flight Center manages the Chandra program. The Smithsonian Astrophysical Observatory’s Chandra X-ray Center controls science from Cambridge Massachusetts and flight operations from Burlington, Massachusetts. The Chandra X-ray Center is headquartered at the Smithsonian Astrophysical Observatory, which is part of the Center for Astrophysics | Harvard & Smithsonian.

Read more from NASA’s Chandra X-ray Observatory.

For more Chandra images, multimedia and related materials, visit:

https://www.nasa.gov/mission/chandra-x-ray-observatory/

News Media Contact

Megan Watzke
Chandra X-ray Center
Cambridge, Mass.
617-496-7998

Jonathan Deal
Marshall Space Flight Center
Huntsville, Ala.
256-544-0034

"I say that to my team, whenever I have an opportunity. I share with my team that they are enabling science and exploration for dozens of missions being supported by NSN. Initially it just seems like words, but once they start realizing [their contributions] are real, I can tell you those people don't want to go anywhere. They just feel that sense of accomplishment." —Vir Thanvi, Deputy Program Manager, Exploration and Space Communications Projects Division, NASA's Goddard Space Flight Center

Sunspot region AR3697 has returned — unleashing yet another X-class solar flare. Watch it erupt from the sun's eastern limb here.

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In Memoriam: Dr. Richard S. Stolarski [1941–2024] Photo. Dr. Richard (Rich) Stolarski in February, 1989 at the NASA Arctic Airborne Stratospheric Experiment (AASE-I) in Stavanger, Norway. Rich is seen here describing model results from the GSFC chemistry model. Photo credit: Paul Newman/NASA

Renowned ozone scientist Dr. Richard “Rich” Stolarski died on February 22, 2024, at age 82 from the complications of prostate cancer. Rich was born at Fort Lewis, WA on November 22, 1941. After short stays in Kansas and Hawaii, Rich’s family settled in Tacoma, WA. He attended Stadium High School for three years and Wilson High School for his final year. He received his Bachelor of Science in physics and mathematics from the University of Puget Sound in 1963 and his Ph.D. from the University of Florida three years later in 1966 under Professor Alex Green. Rich was a University of Michigan post-doctoral fellow from 1967 – 1974 under Professor Andrew Nagy, where he met his colleague and friend Dr. Ralph Cicerone. 

Rich joined NASA in 1974 at the Manned Space Center (now the Johnson Space Center) as a research physicist in the Environmental Effects Projects Office. He moved to NASA’s Goddard Space Flight Center (GSFC) in 1976 to join the fledgling Stratospheric Physics and Chemistry Branch. Rich was branch head (1979 – 1985) and a research scientist (1985 – 2010). He was the Program Scientist for the Atmospheric Effects of the Stratospheric Aircraft program at NASA headquarters from 1992 to 1995. From 2010 until his passing, Rich was a NASA Goddard Emeritus scientist and a Research Professor in the Department of Earth and Planetary Sciences at Johns Hopkins University. 

Rich’s atmospheric science career began during a period of great ferment. A proposed fleet of supersonic transport aircraft (SSTs) was being researched in the early 1970s, and scientists had proposed that nitrogen emissions from SST engines could deplete the Earth’s ozone layer. In 1974, Rich and Ralph Cicerone published their groundbreaking paper showing that reactive chlorine compounds derived from emissions by the NASA space shuttle could also deplete the ozone layer. Mario Molina and Sherry Rowland independently proposed that reactive chlorine could destroy ozone, and further hypothesized that human-produced chlorofluorocarbons (CFCs) would be a source of reactive chlorine compounds. Molina and Rowland shared the 1995 Nobel Prize in chemistry for this work, and Stolarski and Cicerone were cited in the Royal Swedish Academy of Science’s press release for their contributions. Rich was awarded the United Nations Environmental Program’s Ozone Award in 1997, where “Dr. Ralph J. Cicerone and Dr. Richard S. Stolarski were the first to indicate the important role of chlorine monoxide in stratospheric ozone depletion.”

The severe ozone decline over Antarctica discovered by British Antarctic Survey scientists in the 1980s was simultaneously shocking, disturbing, and exciting. In parallel, Dr. P. K. Bhartia and others were examining extremely low ozone values measured by the Total Ozone Mapping Spectrometer (TOMS) aboard NASA’s Nimbus–7 satellite. Rich and colleagues found that TOMS showed that this severe Antarctic ozone decline was continental in scale, publishing the first paper on satellite observations of this ozone depletion. This rapid ozone decline combined with the continental scale led to the coining of the name “Antarctic Ozone Hole” to describe the phenomenon. The ozone hole’s appearance did not directly lead to the finalizing of the “Montreal Protocol on Substances that Deplete the Ozone Layer” (now signed by every nation on Earth), but it likely influenced negotiations for the treaty and supported later strengthening of the protocol with amendments in 1990 and 1992. Subsequent work showing that chlorine-containing substances were causing the ozone hole led to a complete banning of CFCs in 2010. Rich’s work on the Antarctic ozone hole was cited in his 2007 NASA Goddard Scientific Research Award as “… one of the most important papers in atmospheric science in the second half of the twentieth century.” Rich also received NASA’s Exceptional Achievement Medal for his ozone hole research and was named a Fellow of the American Geophysical Union in 1996.

Rich continued his ozone layer research, contributing to the development of trend-quality data sets. In 1991 he published a seminal paper on ozone trends that showed the unambiguous decline of the ozone layer. In this paper he carefully removed “natural” ozone variations to reveal a steady downward ozone trend. Rich was recognized in 1991 by the U.S. Environmental Protection Agency’s Ozone Protection Award for being “… a leader in the verification of ozone depletion from observational data.”

Assessments of ozone depletion are written reports from scientists that provide the foundation for the international Montreal Protocol and Vienna Convention. While many “national” reports were written following Rich’s 1974 paper, there was no international consensus. In December 1980, Rich led an international-based scientific summary of the stratosphere and an assessment of human impact on the ozone layer. This was followed by the 1985 three-volume international report (Atmospheric Ozone: 1985) in which Rich helped write the introduction as well as provide model contributions, reviews, and edits of the report. Ozone 1985 was the scientific basis for the landmark Montreal Protocol. Rich contributed to assessments in 1988, 1989, 1991, 1994, 1998, 2002, 2006, 2010, and 2014 in several roles. Rich attended many of the Les Diableret meetings where the primary executive summaries for Montreal Protocol policy makers were written. Rich’s calm influence and careful science statements at those meetings helped produce clear and consistent messages for the nations of the world in their Montreal Protocol deliberations. 

Rich’s modeling contributions began with one dimensional models (height) in the 1970s, evolving to height – latitude models in the 1980s, and fully three-dimensional models late in his career. He was expert at identifying the processes that controlled the simulated ozone distribution and its response to natural and human-produced perturbations. Late in his career at NASA, Rich took on the challenge of leading NASA Goddard’s chemistry–climate modeling project. Rich applied his strengths to this project, making sure that it focused on the scientific questions of the day and examining how ozone changes impact the temperature and dynamics of the stratosphere and troposphere. In 2009, Rich was awarded the NASA Robert H. Goddard Award of Merit, in part for having “… pioneered a new initiative in the model of the coupling of chemistry and climate, utilizing the GMAO climate model, and involving a large number of Goddard and outside scientists.”

In the 1990s the World Climate Research Program’s (WCRP) Stratospheric Processes effort was emerging, drawing together scientists from many nations to discuss our evolving understanding of the ozone layer. As an important contributor to conferences and summer schools organized by this WCRP effort, Rich could be found in the center of a crowd of early career scientists, discussing ozone, science, and life, thus fostering the next generation of leaders. He was elected a member of the International Ozone Commission (IO3C) in 1996, became the IO3C vice-president in 2008, and was elected as an “Honorary IO3C Member” in 2016.

Papers, citations, and awards are performance measures that rarely fully capture the totality of a scientist’s contribution and clearly fail to capture the essence of a life. Rich had an extremely distinguished science career with 155 publications in refereed science journals and 63 additional publications in other reports and science documents. Rich was a quick thinker with a curiosity and a love of learning that never faded. He was particularly adept at the use of models and analysis to identify the processes that control the ozone distribution, the interplay between chemical reactions and transport, and applying his knowledge to understand the stratospheric response to anthropogenic changes in composition and climate. He was a selfless contributor and an excellent collaborator. He was a friend and mentor to many, and through his mentorship his legacy will continue.

In addition to his scientific family, Rich is survived by his beloved wife of 59 years, Shirley Stolarski; daughter Susan Stolarski Datta and her husband Joy of Charleston, SC; son Steven Stolarski and his wife Vanessa of Purcellville, VA; three grandchildren, Kellen Datta, and Zachary and Maxwell Stolarski; brother Bob Stolarski and his wife Jean of Dewey, AZ; and brother-in-law Bob Jewett and his wife Janet of Loveland, CO.

Acknowledgments: The Earth Observer staff wishes to thank Paul A. Newman [GSFC] and Anne Douglass [GSFC, emeritus] for writing this In Memoriam.

Cow udders have lots of bird-like flu virus receptors but no human-like ones, a study has found, meaning there’s no reason for the virus to evolve to become better at infecting people

Cow udders have lots of bird-like flu virus receptors but no human-like ones, a study has found, meaning there’s no reason for the virus to evolve to become better at infecting people

NASA astronauts Butch Wilmore and Suni Williams are back near their launch site in Florida ahead of their Crew Flight Test launch on June 1. A key flight readiness review today will confirm if Boeing Starliner is ready to go, after a helium leak.

Consumer-grade AI is finding its way into people’s daily lives with its ability to generate text and images and automate tasks. But astronomers need much more powerful, specialized AI. The vast amounts of observational data generated by modern telescopes and observatories defies astronomers’ efforts to extract all of its meaning.

A team of scientists is developing a new AI for astronomical data called AstroPT. They’ve presented it in a new paper titled “AstroPT: Scaling Large Observation Models for Astronomy.” The paper is available at arxiv.org, and the lead author is Michael J. Smith, a data scientist and astronomer from Aspia Space.

Astronomers are facing a growing deluge of data, which will expand enormously when the Vera Rubin Observatory (VRO) comes online in 2025. The VRO has the world’s largest camera, and each of its images could fill 1500 large-screen TVs. During its ten-year mission, the VRO will generate about 0.5 exabytes of data, which is about 50,000 times more data than is contained in the USA’s Library of Congress.

The VRO’s need for multiple sites to handle all of its data is a testament to the enormous volume of data it will generate. Without effective AI, that data will be stuck in a bottleneck. Image Credit: NOIRLab.

Other telescopes with enormous mirrors are also approaching first light. The Giant Magellan Telescope, the Thirty Meter Telescope, and the European Extremely Large Telescope combined will generate an overwhelming amount of data.

Having data that can’t be processed is the same as not having the data at all. It’s basically inert and has no meaning until it’s processed somehow. “When you have too much data, and you don’t have the technology to process it, it’s like having no data,” said Cecilia Garraffo, a computational astrophysicist at the Harvard-Smithsonian Center for Astrophysics.

This is where AstroPT comes in.

AstroPT stands for Astro Pretrained Transformer, where a transformer is a particular type of AI. Transformers can change or transform an input sequence into an output sequence. AI needs to be trained, and AstroPT has been trained on 8.6 million 512 x 512-pixel images from the DESI Legacy Survey Data Release 8. DESI is the Dark Energy Spectroscopic Instrument. DESI studies the effect of Dark Energy by capturing the optical spectra from tens of millions of galaxies and quasars.

AstroPT and similar AI deal with ‘tokens.’ Tokens are visual elements in a larger image that contain meaning. By breaking images down into tokens, an AI can understand the larger meaning of an image. AstroPT can transform individual tokens into coherent output.

AstroPT has been trained on visual tokens. The idea is to teach the AI to predict the next token. The more thoroughly it’s been trained to do that, the better it will perform.

“We demonstrated that simple generative autoregressive models can learn scientifically useful information when pre-trained on the surrogate task of predicting the next 16 × 16 pixel patch in a sequence of galaxy image patches,” the authors write. In this scheme, each image patch is a token.

This image illustrates how the authors trained AstroPT to predict the next token in a ‘spiralised’ sequence of galaxy image patches. It shows the token feed order. “As the galaxies are in the centre of each postage stamp, this set up allows us to seamlessly pretrain and run inference on differently sized galaxy postage stamps,” the authors explain. Image Credit: Smith et al. 2024.

One of the obstacles to training AI like AstroPT concerns what AI scientists call the ‘token crisis.’ To be effective, AI needs to be trained on a large number of quality tokens. In a 2023 paper, a separate team of researchers explained that a lack of tokens can limit the effectiveness of some AI, such as LLMs or Large Language Models. “State-of-the-art LLMs require vast amounts of internet-scale text data for pre-training,” the wrote. “Unfortunately, … the growth rate of high-quality text data on the internet is much
slower than the growth rate of data required by LLMs.”

AstroPT faces the same problem: a dearth of quality tokens to train on. Like other AI, it uses LOMs or Large Observation Models. The team says their results so far suggest that AstroPT can solve the token crisis by using data from observations. “This is a promising result that suggests that data taken from the observational sciences would complement data from other domains when used to pre-train a single multimodal LOM, and so points towards the use of observational data as one solution to the ‘token crisis’.”

AI developers are eager to find solutions to the token crisis and other AI challenges.

Without better AI, a data processing bottleneck will prevent astronomers and astrophysicists from making discoveries from the vast quantities of data that will soon arrive. Can AstroPT help?

The authors are hoping that it can, but it needs much more development. They say they’re open to collaborating with others to strengthen AstroPT. To aid that, they followed “current leading community models” as closely as possible. They call it an “open to all project.”

“We took these decisions in the belief that collaborative community development paves the fastest route towards realising an open source web-scale large observation model,” they write.

“We warmly invite potential collaborators to join us,” they conclude.

It’ll be interesting to see how AI developers will keep up with the vast amount of astronomical data coming our way.

The post Astronomy Generates Mountains of Data. That’s Perfect for AI appeared first on Universe Today.

Just like the fictional planet of Vulcan was wiped out in Star Trek, new research has destroyed the real-life version of Spock's homeworld, albeit in a less violent fashion.

People who have had a recent vaccine against tetanus appear to be less likely to develop Parkinson’s disease, suggesting that the bacterial infection is involved in the condition

People who have had a recent vaccine against tetanus appear to be less likely to develop Parkinson’s disease, suggesting that the bacterial infection is involved in the condition

Time loops have long been the stuff of science fiction. Now, using the rules of quantum mechanics, we have a way to effectively transport a particle back in time – here’s how

Time loops have long been the stuff of science fiction. Now, using the rules of quantum mechanics, we have a way to effectively transport a particle back in time – here’s how

Read the latest news about NASA's James Webb Space Telescope.

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Summary of the Fifty-Second U.S.–Japan ASTER Science Team Meeting

Michael Abrams, NASA/Jet Propulsion Laboratory/California Institute of Technology, mjabrams@jpl.nasa.gov
Yasushi Yamaguchi, Nagoya University/Japan Science and Technology Agency, yasushi@nagoya-u.jp

Introduction

The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Science Team (ST) organized a three-day workshop that took place September 11–13, 2023, at the offices of Japan Space Systems (JSS) in Tokyo. Over 40 people from Japan and the U.S. participated in the in-person meeting—some of whom are shown in the Photo below. U.S. participants included members from NASA/Jet Propulsion Laboratory (JPL), NASA’s Land Processes Distributed Active Archive Center (LPDAAC), NASA’s Goddard Space Flight Center (GSFC), University of Arizona (UA), Grace Consulting (GC), and University of Pittsburgh (Pitt). Japanese members included representatives from JSS, Ibaraki University (IU), Nagoya University (NU), University of Tokyo (UT), Geologic Survey of Japan (GSJ), National Institute of Advanced Industrial Science and Technology (AIST), University of Tsukuba (UTs), and Remote Sensing Technology Center of Japan (RESTEC). 

The meeting objectives focused on discussing impacts of the 50% budget reductions to the Terra mission (including ASTER) that have been proposed in the NASA Budget for Fiscal Years (FY) 2024–26; revised spacecraft management protocols by the Flight Operations Team; data acquisition status; data calibration and validation; data distribution; status of Level-1 processing interruption; applications; and end-of-mission plans. After summarizing the opening plenary presentations, the remainder of this article provides highlights from meetings of the various ASTER working groups and the closing plenary session. 

Photo. Some of the attendees at the fifty-second ASTER STM. Photo credit: Mako Komoda, JSS

Opening Plenary Session

Yasushi Yamaguchi [NU] and Michael Abrams [JPL—ASTER ST Leaders from Japan and the U.S., respectively] welcomed participants and reviewed the agenda for the opening plenary and the schedule for the week’s working groups.

Akira Tsuneto [AIST—Vice President], whose office is responsible for the ASTER project, presented a special welcome. As the former Director of Space Industry Office in the Japan Ministry of Economy, Trade and Industry (METI), he was responsible for making ASTER data free to all users.

Michael Abrams [JPL] presented Jason Hendrickson’s [GSFC] slides on the operations status of NASA’s Terra platform—which has changed significantly since the last meeting. The Earth Science Mission Operations (ESMO) Flight Operations Team began implementing “Lights Out Operation,” reducing staff from 24/7 coverage and eliminating the night shift. These changes resulted in a small increase in data gaps and delayed anomaly response. In early 2023 Terra lost two of its 24 solar array shunts. Full power capability remains—however, there is only one spare shunt remaining. Those issues notwithstanding, Terra remains healthy after more than 23 years of operation. 

Chris Torbert [LPDAAC] presented ASTER product distribution statistics. The ASTER Global Digital Elevation Model (DEM) continues to be the most ordered product. Torbert discussed the ASTER Preservation Content Specification for the end-of-mission archiving. There is a NASA document that describes the desired content of this archive. As described by the ST at the last meeting, most ASTER data products will be created as real files and placed in a searchable and orderable archive, accessed through NASA’s Earthdata tool, where mission preservation documents for other instruments (e.g., HIRDLS, ICESat/GLAS, TOMS) can be found.

Michael Abrams [JPL] presented highlights of science results based on ASTER data—including the 2023 Earth Science Senior Review. Terra presented its report to NASA Headquarters, but as of this meeting, the response is still pending. However, as stated earlier, a three-year budget reduction of 50% is anticipated.

Hitomi Inada [JSS] presented the status of the ASTER instrument. Although many of the monitored components [e.g., visible-near-infrared (VNIR) pointing motor] have exceeded their original useful life in orbit, they show no signs of decreases in performance. All temperature and current telemetry trends remain straight lines.

Tetsushi Tachikawa [JSS] summarized the status of ASTER observations since the beginning of the mission. He reported that all of the global observation programs are functioning normally, acquiring data as planned. The change of the orbit repeat after the October 2022 constellation exit maneuver has been accommodated in the ASTER scheduler.

Simon Hook [JPL] described the status of the multispectral thermal infrared (TIR) instrument on the ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) as well as NASA’s future Surface Biology and Geology (SBG) mission, which is part of the planned Earth System Observatory.

Applications Working Group

The applications session offered a sample of the variety of applications that make use of data from ASTER, see examples below. Miyuki Muto [IU] shared her work to estimate the volume of waste in 19 landfills in 11 countries through analysis of ASTER DEM data over the past 20 years. Analysis of data from a site in India showed that the volume of waste increased four-fold over 20 years—see Figure 1. All the other monitored sites showed similar large increases in waste volume.

Figure 1. Google Earth Image of landfill in India [top] and temporal changes in volume from 2001 to 2021 [bottom]. Figure credit: Miyuki Muto and Hideyuki Tonooka, IU Figure credit: Miyuki Muto and Hideyuki Tonooka, IU

Michael Ramsey [Pitt] discussed detecting volcanic eruption precursors using the entire ASTER TIR archive for six selected volcanoes: Etna, Fuego, Kliuchevskoi, Lascar, Vulcano, and Popocatepetl—four of these are shown in Figure 2. He and his students developed statistical methods to detect both low- and high-temperature anomalies. The team performed a cluster analysis on four volcanoes. By calculating and plotting heat flux versus mean temperature-above-background versus maximum temperature-above-background, clusters for eruption styles can be identified—see Figure 2. These results offer potential applicability to other volcanoes.

Figure 2. Three-dimensional plots show heat flux and temperature plots (further explained in the text) for hundreds of ASTER TIR scenes for four volcanoes, revealing differences related to eruptive styles. The lower cluster (blue) indicated fumarole and passive degassing; the medium cluster (red) correlated with domes and explosive and small lava flows; and the high clusters (green) correlated with large lava flows. Figure credit: Michael Ramsey/Pitt

Calibration/Validation Working Group

This working group monitors the radiometric performance of ASTER’s VNIR and TIR instruments. The team performs calibration and validation of these instruments by analysis of onboard calibration lamps or blackbody, as well as measurements of pseudo-invariant ground targets during field campaigns. No changes in instrument performance were found based on validation activities during the past year. The radiometric calibration coefficients will remain unchanged for the foreseeable future.

Temperature–Emissivity Working Group

The Temperature–Emissivity Working Group focuses on ASTER’s kinetic temperature and emissivity (T–E) products and their applications, including monitoring instrument performance and calibration. They also review the status of the nighttime TIR global map program. In situ measurement campaigns in Japan and the U.S. use lakes and dry lake beds for ground-based calibration campaigns. Recent campaign results indicate that the TIR instrument perform within required calibration limits—see Figure 3. The team also noted the successful completion of the Visible Infrared Imaging Radiometer Suite (VIIRS)–ASTER 375-m (~1230-ft) near-real-time land-surface temperature algorithm using ASTER emissivity for corrections. Review of the thermal global mapping acquisition program indicated that it was proceeding as planned with no changes needed. 

Figure 3. ASTER and Landsat 8 and 9 data provide a way to compare the satellite-derived temperature and lake surface measured temperature. ASTER mean difference for all five bands is less than 0.5 °C (~0.9 °F). On the Y axis, BT stands for Brightness Temperature. Figure credit: Remote Sensing Technology Center of Japan/Soushi Kato Figure credit: Remote Sensing Technology Center of Japan/Soushi Kato

Operations and Mission Planning Working Group

The Operations and Mission Planning working group oversees and reviews the acquisition programs executed by the ASTER scheduler. The working group schedules ASTER data acquisitions daily to accommodate ASTER’s average 8% duty cycle. An automated program selects 600–700 daily scenes from the more than 3000 in the request archive. 

Tetsushi Tachikawa [JSS] reviewed the status of acquisition scheduling. Urgent observations receive the highest priority and can be scheduled close to acquisition time. Approximately 70 scenes are programmed per month—with over 95% acquisition success. By contrast, global mapping data acquisitions receive the lowest priority and fill in the scenes for the daily quota. The objective is for ASTER to acquire at least one cloud-free image for every place on Earth. Due to persistent cloud cover, success is typically ~85%. The group restarts the program after several years, with the next scheduled restart in October 2024. The thermal group submits aerial requirements to acquire global nighttime coverage with the thermal bands, which will continue as scheduled. There are also acquisition programs that focus on islands, volcanoes, glaciers, and cloudy areas. The global volcano image acquisition program will continue with no change to the observation parameters. Acquisition of images of islands and over cloudy areas will also continue in current form. The global glacier acquisition program will be modified to change the VNIR gain settings to optimize images over snow and ice. 

Chris Torbert [LPDAAC] reported that software fixes were ongoing for the (currently non-functional) expedited data processing at the LPDAAC.

Closing Plenary Session

Each working group chairperson summarized the presentations, discussions, and recommendations that occurred during each session. Consensus holds the ASTER instrument is operating normally, with no indications of any component failures. The backlog of unprocessed scenes resulting from the 2022 constellation exit maneuver impact on production software should clear by early October 2023. The closing highlighted the impact of the 50% budget reduction on the Flight Operation Team at GSFC with only a small increase in lost data (1–2%) due to the absence of operators to attempt immediate recovery. 

Conclusion

The fifty-second ASTER ST Meeting successfully covered all of the critical issues introduced during the opening plenary session. Working groups updated instrument scheduling, instrument performance, archiving plans, and new applications. The plan is for the 2024 meeting to take place at the same venue in Tokyo.