Jump to content

Recommended Posts

  • Publishers
Posted
The city lights of the northeastern United States are visible from the International Space Station. The rest of the surrounding land is mostly dark, as is space. At left, part of the orbital lab and a docking port on a Russian space station module are visible.
NASA / Jasmin Moghbeli

While aboard the International Space Station on Oct. 26, NASA astronaut Jasmin Moghbeli captured the city lights of the northeastern United States and major urban areas including Long Island, New York; Philadelphia, Pennsylvania; and Washington, D.C. At the time of this photograph, the orbital lab was 262 miles above Maine. In 24 hours, the space station makes 16 orbits of Earth, traveling through 16 sunrises and sunsets. To find out where the ISS is and when you can see it in your area, check out the Spot the Station site.

Image Credit: NASA/Jasmin Moghbeli

View the full article

Join the conversation

You can post now and register later. If you have an account, sign in now to post with your account.
Note: Your post will require moderator approval before it will be visible.

Guest
Reply to this topic...

×   Pasted as rich text.   Paste as plain text instead

  Only 75 emoji are allowed.

×   Your link has been automatically embedded.   Display as a link instead

×   Your previous content has been restored.   Clear editor

×   You cannot paste images directly. Upload or insert images from URL.

  • Similar Topics

    • By European Space Agency
      Image: Copernicus Sentinel-1 captured this image over part of eastern Borneo, a tropical island in Southeast Asia. View the full article
    • By NASA
      4 min read
      Preparations for Next Moonwalk Simulations Underway (and Underwater)
      Instruments in space are helping scientists map wastewater plumes flowing into the Pacific Ocean from the heavily polluted Tijuana River, seen here with the San Diego sky-line to the north. NOAA Proof-of-concept results from the mouth of the Tijuana River in San Diego County show how an instrument called EMIT could aid wastewater detection.
      An instrument built at NASA’s Jet Propulsion Laboratory  to map minerals on Earth is now revealing clues about water quality. A recent study found that EMIT (Earth Surface Mineral Dust Source Investigation) was able to identify signs of sewage in the water at a Southern California beach.
      The authors of the study examined a large wastewater plume at the mouth of the Tijuana River, south of Imperial Beach near San Diego. Every year, millions of gallons of treated and untreated sewage enter the river, which carries pollutants through communities and a national reserve on the U.S.-Mexico border before emptying into the Pacific Ocean. Contaminated coastal waters have been known to impact human health — from beachgoers to U.S. Navy trainees — and harm marine ecosystems, fisheries, and wildlife.
      For decades scientists have tracked water quality issues like harmful algal blooms using satellite instruments that analyze ocean color. Shades that range from vibrant red to bright green can reveal the presence of algae and phytoplankton. But other pollutants and harmful bacteria are more difficult to monitor because they’re harder to distinguish with traditional satellite sensors.
      A plume spreads out to sea in this image captured off San Diego by the Sentinel-2 satellite on March 24, 2023. Both a spectroradiometer used to analyze water samples (yellow star) and NASA’s EMIT identified in the plume signs of a type of bacterium that can sicken humans and animals.SDSU/Eva Scrivner That’s where EMIT comes in. NASA’s hyperspectral instrument orbits Earth aboard the International Space Station, observing sunlight reflecting off the planet below. Its advanced optical components split the visible and infrared wavelengths into hundreds of color bands. By analyzing each satellite scene pixel by pixel at finer spatial resolution, scientists can discern what molecules are present based on their unique spectral “fingerprint.”
      Scientists compared EMIT’s observations of the Tijuana River plume with water samples they tested on the ground. Both EMIT and the ground-based instruments detected a spectral fingerprint pointing to phycocyanin, a pigment in cyanobacteria, an organism that can sicken humans and animals that ingest or inhale it.
      ‘Smoking Gun’
      Many beachgoers are already familiar with online water-quality dashboards, which often rely on samples collected in the field, said Christine Lee, a scientist at JPL in Southern California and a coauthor of the study. She noted the potential for EMIT to complement these efforts.
      “From orbit you are able to look down and see that a wastewater plume is extending into places you haven’t sampled,” Lee said. “It’s like a diagnostic at the doctor’s office that tells you, ‘Hey, let’s take a closer look at this.’”
      Lead author Eva Scrivner, a doctoral student at the University of Connecticut, said that the findings “show a ‘smoking gun’ of sorts for wastewater in the Tijuana River plume.” Scrivner, who led the study while at San Diego State University, added that EMIT could be useful for filling data gaps around intensely polluted sites where traditional water sampling takes a lot of time and money.
      EMIT’s Many Uses
      The technology behind EMIT is called imaging spectroscopy, which was pioneered at JPL in the 1980s. Imaging spectrometers developed at JPL over the decades have been used to support areas ranging from agriculture to forest health and firefighting.
      When EMIT was launched in July 2022, it was solely aimed at mapping minerals and dust in Earth’s desert regions. That same sensitivity enabled it to spot the phycocyanin pigments off the California coast.
      Scrivner hadn’t anticipated that an instrument initially devoted to exploring land could reveal insights about water. “The fact that EMIT’s findings over the coast are consistent with measurements in the field is compelling to water scientists,” she said. “It’s really exciting.”
      To learn more about EMIT, visit:
      https://earth.jpl.nasa.gov/emit/
      News Media Contacts
      Jane J. Lee / Andrew Wang
      Jet Propulsion Laboratory, Pasadena, Calif.
      626-379-6874 / 818-354-0307
      jane.j.lee@jpl.nasa.gov / andrew.wang@jpl.nasa.gov 
      Written by Sally Younger
      2025-078
      Share
      Details
      Last Updated Jun 12, 2025 Related Terms
      EMIT (Earth Surface Mineral Dust Source Investigation) Earth Earth Science Technology Office Human Dimensions International Space Station (ISS) Oceans Water on Earth Explore More
      3 min read Studying Storms from Space Station
      Article 4 hours ago 4 min read Welcome Home, Expedition 72 Crew! 
      Article 21 hours ago 6 min read NASA’s Ready-to-Use Dataset Details Land Motion Across North America
      Article 6 days ago Keep Exploring Discover Related Topics
      Missions
      Humans in Space
      Climate Change
      Solar System
      View the full article
    • By USH
      In 2014, a massive underwater anomaly was discovered off the coast of Malibu, California, near Point Dume. The discovery was brought to public attention by researchers Maxwell, Dale Romero, and radio host Jimmy Church of Fade to Black on the Dark Matter Radio Network. 

      The formation appeared highly unnatural, a plateau-like structure measuring approximately 1.35 miles by 2.45 miles, located 6.66 miles from shore. Most striking was a large, arch-like entrance framed by what looked like massive support pillars, measuring roughly 2,745 feet wide and 630 feet tall. The roof of the structure appeared to be an incredibly thick slab, about 500 feet, prompting speculation that it might be resistant to even nuclear-level impacts. 
      At the time, widespread speculation emerged over the true nature of the formation. Many questioned whether this was a secret underwater base, possibly used by the military or even extraterrestrials. 

      Despite mainstream media claims that it was simply a natural geological formation, skeptics pointed to its geometric features and scale as evidence of intelligent design. Eyewitness accounts of unidentified craft entering and exiting the ocean in the same region only added fuel to the mystery. 
      Revisiting the coordinates of this underwater anomaly on Google Earth reveals something even more curious, the structure appears to be gone. Instead, the area is now obscured by a blurred overlay, suggesting that the imagery has been deliberately censored. 

      Although the angle of approach to the structure differs between the 2014 and 2023 images on Google Earth, it's clearly evident that they depict the same location and if the formation was merely a natural feature, why hide it? 
      Here are the coordinates: 34°1'23.31"N 118°59'45.64"W

      View the full article
    • By NASA
      5 min read
      Preparations for Next Moonwalk Simulations Underway (and Underwater)
      Cliffs slope into the ocean in San Simeon, California. All along the state’s dynamic coastline, land is inching down and up due to natural and human-caused factors. A bet-ter understanding of this motion can help communities prepare for rising seas.NASA/JPL-Caltech The elevation changes may seem small — amounting to fractions of inches per year — but they can increase or decrease local flood risk, wave exposure, and saltwater intrusion.
      Tracking and predicting sea level rise involves more than measuring the height of our oceans: Land along coastlines also inches up and down in elevation. Using California as a case study, a NASA-led team has shown how seemingly modest vertical land motion could significantly impact local sea levels in coming decades.
      By 2050, sea levels in California are expected to increase between 6 and 14.5 feet (15 and 37 centimeters) higher than year 2000 levels. Melting glaciers and ice sheets, as well as warming ocean water, are primarily driving the rise. As coastal communities develop adaptation strategies, they can also benefit from a better understanding of the land’s role, the team said. The findings are being used in updated guidance for the state.
      “In many parts of the world, like the reclaimed ground beneath San Francisco, the land is moving down faster than the sea itself is going up,” said lead author Marin Govorcin, a remote sensing scientist at NASA’s Jet Propulsion Laboratory in Southern California. 
      The new study illustrates how vertical land motion can be unpredictable in scale and speed; it results from both human-caused factors such as groundwater pumping and wastewater injection, as well as from natural ones like tectonic activity. The researchers showed how direct satellite observations can improve estimates of vertical land motion and relative sea level rise. Current models, which are based on tide gauge measurements, cannot cover every location and all the dynamic land motion at work within a given region.
      Local Changes
      Researchers from JPL and the National Oceanic and Atmospheric Administration (NOAA) used satellite radar to track more than a thousand miles of California coast rising and sinking in new detail. They pinpointed hot spots — including cities, beaches, and aquifers — at greater exposure to rising seas now and in coming decades.
      To capture localized motion inch by inch from space, the team analyzed radar measurements made by ESA’s (the European Space Agency’s) Sentinel-1 satellites, as well as motion velocity data from ground-based receiving stations in the Global Navigation Satellite System. Researchers compared multiple observations of the same locations made between 2015 to 2023 using a processing technique called interferometric synthetic aperture radar (InSAR).
      Scientists mapped land sinking (indicated in blue) in coastal California cities and in parts of the Central Valley due to factors like soil compaction, erosion, and groundwater withdrawal. They also tracked uplift hot spots (shown in red), including in Long Beach, a site of oil and gas production. NASA Earth Observatory Homing in on the San Francisco Bay Area — specifically, San Rafael, Corte Madera, Foster City, and Bay Farm Island — the team found the land subsiding at a steady rate of more than 0.4 inches (10 millimeters) per year due largely to sediment compaction. Accounting for this subsidence in the lowest-lying parts of these areas, local sea levels could rise more than 17 inches (45 centimeters) by 2050. That’s more than double the regional estimate of 7.4 inches (19 centimeters) based solely on tide gauge projections.
      Not all coastal locations in California are sinking. The researchers mapped uplift hot spots of several millimeters per year in the Santa Barbara groundwater basin, which has been steadily replenishing since 2018. They also observed uplift in Long Beach, where fluid extraction and injection occur with oil and gas production.
      The scientists further calculated how human-induced drivers of local land motion increase uncertainties in the sea level projections by up to 15 inches (40 centimeters) in parts of Los Angeles and San Diego counties. Reliable projections in these areas are challenging because the unpredictable nature of human activities, such as hydrocarbon production and groundwater extraction, necessitating ongoing monitoring of land motion.  
      Fluctuating Aquifers, Slow-Moving Landslides
      In the middle of California, in the fast-sinking parts of the Central Valley (subsiding as much as 8 inches, or 20 centimeters, per year), land motion is influenced by groundwater withdrawal. Periods of drought and precipitation can alternately draw down or inflate underground aquifers. Such fluctuations were also observed over aquifers in Santa Clara in the San Francisco Bay Area, Santa Ana in Orange County, and Chula Vista in San Diego County.
      Along rugged coastal terrain like the Big Sur mountains below San Francisco and Palos Verdes Peninsula in Los Angeles, the team pinpointed local zones of downward motion associated with slow-moving landslides. In Northern California they also found sinking trends at marshlands and lagoons around San Francisco and Monterey bays, and in Sonoma County’s Russian River estuary. Erosion in these areas likely played a key factor.
      Scientists, decision-makers, and the public can monitor these and other changes occurring via the JPL-led OPERA (Observational Products for End-Users from Remote Sensing Analysis) project. The OPERA project details land surface elevational changes across North America, shedding light on dynamic processes including subsidence, tectonics, and landslides.
      The OPERA project will leverage additional state-of-the-art InSAR data from the upcoming NISAR (NASA-Indian Space Research Organization Synthetic Aperture Radar) mission, expected to launch within the coming months.
      News Media Contacts
      Jane J. Lee / Andrew Wang
      Jet Propulsion Laboratory, Pasadena, Calif.
      818-354-0307 / 626-379-6874
      jane.j.lee@jpl.nasa.gov / andrew.wang@jpl.nasa.gov
      Written by Sally Younger
      2025-015
      Share
      Details
      Last Updated Feb 10, 2025 Related Terms
      NISAR (NASA-ISRO Synthetic Aperture Radar) Earth Earth Science Jet Propulsion Laboratory Explore More
      2 min read Newly Minted Ph.D. Studies Phytoplankton with NASA’s FjordPhyto Project
      FjordPhyto is a collective effort where travelers on tour expedition vessels in Antarctica help scientists…
      Article 3 hours ago 5 min read Euclid Discovers Einstein Ring in Our Cosmic Backyard
      Article 4 hours ago 3 min read NASA Explores Earth Science with New Navigational System
      Article 3 days ago Keep Exploring Discover Related Topics
      Missions
      Humans in Space
      Climate Change
      Solar System
      View the full article
    • By NASA
      8 min read
      Preparations for Next Moonwalk Simulations Underway (and Underwater)
      Return to 2024 SARP Closeout Faculty Advisors:
      Dr. Tom Bell, Woods Hole Oceanographic Institution
      Dr. Kelsey Bisson, NASA Headquarters Science Mission Directorate
      Graduate Mentor:
      Kelby Kramer, Massachusetts Institute of Technology

      Kelby Kramer, Graduate Mentor
      Kelby Kramer, graduate mentor for the 2024 SARP Ocean Remote Sensing group, provides an introduction for each of the group members and shares behind-the scenes moments from the internship.
      Lucas DiSilvestro
      Shallow Water Benthic Cover Type Classification using Hyperspectral Imagery in Kaneohe Bay, Oahu, Hawaii
      Lucas DiSilvestro
      Quantifying the changing structure and extent of benthic coral communities is essential for informing restoration efforts and identifying stressed regions of coral. Accurate classification of shallow-water benthic coral communities requires high spectral and spatial resolution, currently not available on spaceborne sensors, to observe the seafloor through an optically complex seawater column. Here we create a shallow water benthic cover type map of Kaneohe Bay, Oahu, Hawaii using the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) without requiring in-situ data as inputs. We first run the AVIRIS data through a semi-analytical inversion model to derive color dissolved organic matter, chlorophyll concentration, bottom albedo, suspended sediment, and depth parameters for each pixel, which are then matched to a Hydrolight simulated water column. Pure reflectance for coral, algae, and sand are then projected through each water column to create spectral endmembers for each pixel. Multiple Endmember Spectral Mixture Analysis (MESMA) provides fractional cover of each benthic class on a per-pixel basis. We demonstrate the efficacy of using simulated water columns to create surface reflectance spectral endmembers as Hydrolight-derived in-situ endmember spectra strongly match AVIRIS surface reflectance for corresponding locations (average R = 0.96). This study highlights the capabilities of using medium-fine resolution hyperspectral imagery to identify fractional cover type of localized coral communities and lays the groundwork for future spaceborne hyperspectral monitoring of global coral communities.

      Atticus Cummings
      Quantifying Uncertainty In Kelp Canopy Remote Sensing Using the Harmonized Landsat Sentinel-2 Dataset
      Atticus Cummings
      California’s giant kelp forests serve as a major foundation for the region’s rich marine biodiversity and provide recreational and economic value to the State of California. With the rising frequency of marine heatwaves and extreme weather onset by climate change, it has become increasingly important to study these vital ecosystems. Kelp forests are highly dynamic, changing across several timescales; seasonally due to nutrient concentrations, waves, and predator populations, weekly with typical growth and decay, and hourly with the tides and currents. Previous remote sensing of kelp canopies has relied on Landsat imagery taken with a eight-day interval, limiting the ability to quantify more rapid changes. This project aims to address uncertainty in kelp canopy detection using the Harmonized Landsat and Sentinel-2 (HLS) dataset’s zero to five-day revisit period. A random forest classifier was used to identify pixels that contain kelp, on which Multiple Endmember Spectral Mixture Analysis (MESMA) was then run to quantify intrapixel kelp density. Processed multispectral satellite images taken within 3 days of one another were paired for comparison. The relationship between fluctuations in kelp canopy density with tides and currents was assessed using in situ data from an acoustic doppler current profiler (ADCP) at the Santa Barbara Long Term Ecological Research site (LTER) and a NOAA tidal buoy. Preliminary results show that current and tidal trends cannot be accurately correlated with canopy detection due to other sources of error. We found that under cloud-free conditions, canopy detection between paired images varied on average by 42%. Standardized image processing suggests that this uncertainty is not created within the image processing step, but likely arises due to exterior factors such as sensor signal noise, atmospheric conditions, and sea state. Ultimately, these errors could lead to misinterpretation of remotely sensed kelp ecosystems, highlighting the need for further research to identify and account for uncertainties in remote sensing of kelp canopies.

      Jasmine Sirvent
      Kelp Us!: A Methods Analysis for Predicting Kelp Pigment Concentrations from Hyperspectral Reflectance
      Jasmine Sirvent
      Ocean color remote sensing enables researchers to assess the quantity and physiology of life in the ocean, which is imperative to understanding ecosystem health and formulating accurate predictions. However, without proper methods to analyze hyperspectral data, correlations between spectral reflectance and physiological traits cannot be accurately derived. In this study, I explored different methods—single variable regression, partial least squares regressions (PLSR), and derivatives—in analyzing in situ Macrocystis pyrifera (giant kelp) off the coast of Santa Barbara, California in order to predict pigment concentrations from AVIRIS hyperspectral reflectance. With derivatives as a spectral diagnostic tool, there is evidence suggesting high versus low pigment concentrations could be diagnosed; however, the fluctuations were within 10 nm of resolution, thus AVIRIS would be unable to reliably detect them. Exploring a different method, I plotted in situ pigment measurements — chlorophyll a, fucoxanthin, and the ratio of fucoxanthin to chlorophyll a—against hyperspectral reflectance that was resampled to AVIRIS bands. PLSR proved to be a more successful model because of its hyperdimensional analysis capabilities in accounting for multiple wavelength bands, reaching R2 values of 0.67. Using this information, I constructed a model that predicts kelp pigments from simulated AVIRIS reflectance using a spatial time series of laboratory spectral measurements and photosynthetic pigment concentrations. These results have implications, not only for kelp, but many other photosynthetic organisms detectable by hyperspectral airborne or satellite sensors. With these findings, airborne optical data could possibly predict a plethora of other biogeochemical traits. Potentially, this research would permit scientists to acquire data analogous to in situ measurements about floating matters that cannot financially and pragmatically be accessed by anything other than a remote sensor.

      Isabelle Cobb
      Correlations Between SSHa and Chl-a Concentrations in the Northern South China Sea
      Isabelle Cobb
      Sea surface height anomalies (SSHa)–variations in sea surface height from climatological averages–occur on seasonal timescales due to coastal upwelling and El Niño-Southern Oscillation (ENSO) cycles. These anomalies are heightened when upwelling plumes bring cold, nutrient-rich water to the surface, and are particularly strong along continental shelves in the Northern South China Sea (NSCS). This linkage between SSHa and nutrient availability has interesting implications for changing chlorophyll-a (chl-a) concentrations, a prominent indicator of phytoplankton biomass that is essential to the health of marine ecosystems. Here, we evaluate the long-term (15 years) relationship between SSHa and chl-a, in both satellite remote sensing data and in situ measurements. Level 3 SSHa data from Jason 1/2/3 satellites and chl-a data from MODIS Aqua were acquired and binned to monthly resolution. We found a significant inverse correlation between SSHa and chl-a during upwelling months in both the remote sensing (Spearman’s R=-0.57) and in situ data, with higher resolution in situ data from ORAS4 (an assimilation of buoy observations from 2003-2017) showing stronger correlations (Spearman’s R=-0.75). In addition, the data reveal that the magnitude of SSH increases with time during instances of high correlation, possibly indicating a trend of increased SSH associated with reduced seasonal chl-a concentrations. Thus, this relationship may inform future work predicting nutrient availability and threats to marine ecosystems as climate change continues to affect coastal sea surface heights.

      Alyssa Tou
      Exploring Coastal Sea Surface Temperature Anomalies and their effect on Coastal Fog through analyzing Plant Phenology
      Alyssa Tou
      Marine heat waves (MHW) have been increasing in frequency, duration and intensity, giving them substantial potential to influence ecosystems. Do these MHWs sufficiently enhance coastal precipitation such that plant growth is impacted? Recently, the Northeast Pacific experienced a long, intense MHW in 2014/2015, and another short, less intense MHW in 2019/2020. Here we investigate how the intensity and duration of MHWs influence the intensity and seasonal cycle of three different land cover types (‘grass’, ‘trees’, and a combination of both ‘combined’’) to analyze plant phenology trends in Big Sur, California. We hypothesize that longer intense MHWs decrease the ocean’s evaporative capacity, decreasing fog, thus lowering plant productivity, as measured by Normalized Difference Vegetation Index (NDVI). Sea surface temperature (SST) and NDVI data were collected from the NOAA Coral Reef Watch, and NASA MODIS/Terra Vegetation Indices 16-Day L3 Global 250m products respectively. Preliminary results show no correlation (R2=0.02) between SSTa and combined NDVI values and no correlation (R2=0.01) between SST and NDVI. This suggests that years with anomalously high SST do not significantly impact plant phenology. During the intense and long 2014/2015 MHW, peak NDVI values for ‘grass’ and ‘combined’ pixels were 2.0 and 1.7 standard deviations above the climatological average, while the shorter 2019/2020 MHW saw higher peaks of 3.2 and 2.4 standard deviations. However, the ‘grass’, ‘tree’ and ‘combined’ NDVI anomalies were statistically insignificant during both MHWs, showing that although NDVI appeared to increase during the shorter and less intense MHW, these values may be attributed to other factors. The data qualitatively suggest that MHW’s don’t impact the peak NDVI date, but more data at higher temporal resolution are necessary. Further research will involve analyzing fog indices and exploring confounding variables impacting NDVI, such as plant physiology, anthropogenic disturbance, and wildfires. In addition, it’s important to understand to what extent changes in NDVI are attributed to the driving factors of MHWs or the MHWs themselves. Ultimately, mechanistically understanding the impacts MHW intensity and duration have on terrestrial ecosystems will better inform coastal community resilience.


      Return to 2024 SARP Closeout Share
      Details
      Last Updated Nov 22, 2024 Related Terms
      General Explore More
      10 min read SARP East 2024 Atmospheric Science Group
      Article 21 mins ago 10 min read SARP East 2024 Hydroecology Group
      Article 21 mins ago 11 min read SARP East 2024 Terrestrial Fluxes Group
      Article 22 mins ago View the full article
  • Check out these Videos

×
×
  • Create New...