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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.
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Last Updated Nov 22, 2024 Related Terms
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By USH
Over the years, numerous mysterious events have been witnessed in the sky, defying explanation. Recently, yet another unusual sky phenomenon was observed over Southern Australia capturing attention and sparking curiosity.
Video footage reveals what appears to be a dome-shaped structure, with an even stranger detail: lightning seems to bounce off or perhaps even originate from within the dome.
The mysterious formation has led to numerous theories. Some viewers suggest it could be a unique (red) rainbow or a rare weather event like a haboob (sandstorm). Others speculate it might be the result of weather manipulation or even an energy field projected over the region.
Opinions also vary on the lightning, some say it’s bouncing off the dome, while others believe it could be emanating from within. Although it may just be an unusual natural phenomenon, the seemly strange interaction with the lightning remains unexplained.
View the full article
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By NASA
Learn Home Kites in the Classroom:… Earth Science Overview Learning Resources Science Activation Teams SME Map Opportunities More Science Activation Stories Citizen Science 3 min read
Kites in the Classroom: Training Teachers to Conduct Remote Sensing Missions
The NASA Science Activation program’s AEROKATS and ROVER Education Network (AREN), led by Wayne Regional Educational Service Agency (RESA) in Wayne County, MI, provides learners with hands-on opportunities to engage with science instruments & NASA technologies and practices in authentic, experiential learning environments. On July 25, 2024, the AREN team held a four-day virtual workshop: “Using Kites and Sensors to Collect Local Data for Science with the NASA AREN Project”. During this workshop, the team welcomed 35 K-12 educators and Science, Technology, Education, & Mathematics (STEM) enthusiasts from across the country to learn about the AREN project and how to safely conduct missions to gather remote sensing data in their classrooms.
Teachers were trained to use an AeroPod, an aerodynamically stabilized platform suspended from a kite line, in order to collect aerial imagery and introduce their students to topics like resolution, pixels, temporal and seasonal changes to landscape, and image classification of land cover types. Educators were also familiarized with safe operation practices borrowed from broader NASA mission procedures to ensure students in the field can enjoy experiential education safely. The AREN team will also meet with workshop participants during follow-up sessions to highlight next steps and new instrumentation that can be used to gather different data, help broaden the educators depth of understanding, and increase successful implementation in the classroom.
“This session has been very helpful and informative of the program and the possible investigations that we can conduct. The fact that it can connect hands on experiments, data analysis, and draw conclusions from the process is going to be a fantastic learning experience.” ~AREN Workshop Participant
The AREN project continually strives to provide low cost, user-friendly opportunities to engage in hands-on experiential education and increase scientific literacy. The versatility of the NASA patented AeroPod platform allows learners to investigate scientific questions that are meaningful to their community and local environment. Learn more about AREN and how to implement AREN technologies in the classroom: https://science.nasa.gov/sciact-team/resa/
AREN is supported by NASA under NASA Science Mission Directorate Science Education Cooperative Agreement Notice (CAN) Solicitation NNH15ZDA004C Award Number NNX16AB95A and is part of NASA’s Science Activation Portfolio. Learn more about how Science Activation connects NASA science experts, real content, and experiences with community leaders to do science in ways that activate minds and promote deeper understanding of our world and beyond: https://science.nasa.gov/learn
Kite with Aeropod for Collecting Data
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Last Updated Oct 25, 2024 Editor NASA Science Editorial Team Related Terms
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By NASA
Learn Home Educator Night at the Museum… Heliophysics Overview Learning Resources Science Activation Teams SME Map Opportunities More Science Activation Stories Citizen Science 2 min read
Educator Night at the Museum of the North: Activating Science in Fairbanks Classrooms
The NASA Heliophysics Education Activation Team (NASA HEAT) set out to activate science in Fairbanks classrooms in early October at the University of Alaska’s Museum of the North annual Educators’ Night. This free Fall semester event introduces educators and school staff to a variety of resources and connections, connecting attendees with resources and university departments that will support their classroom efforts.
In 2024, over 100 guests received support from exhibitors on classroom topics. The museum put several dynamic activity kits on display – Cultural Connections Northern Lights, Energetic Aurora, and Sun Discovery – and helped participants explore and engage with them as supplementary materials for their classroom units and opportunities for hands-on exploration. The museum also promoted an upcoming Spring 2025 teacher workshop focused on the aurora.
The Geophysical Institute’s (GI) Education Outreach Office – another active element of the NASA HEAT team – hosted a table to display some of their co-produced resources, including the Cultural Connections Northern Lights (Kiġuyat) student guides, which blend Iñupiaq culture and aurora borealis science. After directing educators on how to locate physical and digital resources, the GI Education Outreach team encouraged their visitors to wrap the term “heliophysics” into their own vocabulary!
The University of Alaska Museum of the North’s Education & Public Programs team are an impactful part of NASA HEAT, which is part of NASA’s Science Activation portfolio. Learn more about how Science Activation connects NASA science experts, real content, and experiences with community leaders to do science in ways that activate minds and promote deeper understanding of our world and beyond: https://science.nasa.gov/learn
https://www.uaf.edu/museum/education/educators/educators-night
Pulled from their kits and displayed for perusing, the Cultural Connections to Northern Lights kit is ready to be explored. UAF Geophysical Education Outreach staff Kaz Storm (left) and Mariah McNamara (right) introducing educators to curriculum materials co-produced with Alaska Native communities. Share
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Last Updated Oct 24, 2024 Editor NASA Science Editorial Team Related Terms
Grades 5 – 8 for Educators Grades 9-12 for Educators Grades K – 4 for Educators Heliophysics Opportunities For Educators to Get Involved Science Activation Explore More
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By USH
Many unusual phenomena are witnessed in the sky, ranging from UFOs and mysterious orbs to figures from parallel universes. One notable incident occurred during a recent thunderstorm from an unknown location when amidst the raging storm, a powerful flash of lightning illuminates the night sky, revealing the haunting silhouette of a demon, caught mid-air.
While this eerie vision was likely a result of the lightning itself, some claim it resembled Raijin, the Shinto god of lightning and thunder, a chaotic being born of death who brings the world vital rains as well as chaos and destruction .
Regardless of the true nature of this event, it serves as a reminder that countless mysterious phenomena exist on and around our planet. Whether tied to the afterlife, parallel universes, intelligent extraterrestrial life, or folklore with roots in truth, most of these occurrences remain unexplained.
Link to the short video posted on TikTok:https://www.tiktok.com/@nc_batman_official/video/7417359739828440351/ View the full article
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