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Weird UFO caught on ptz camera at remote farmstead in North Dakota
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By USH
During a live Fox News broadcast covering the intense Palisades wildfire in California, an unusual event captured viewers' attention. A camera aimed at the blazing inferno recorded a mysterious spherical object emerging suddenly from the middle of the flames. This object moved at a remarkable speed before vanishing over the treetops, leaving many wondering about its origin and purpose.
The object does not appear to be debris carried aloft by the fire’s updraft. Its trajectory and speed seem too controlled and deliberate to be a random effect of the wildfire. Additionally, the object shows no signs of explosion or disintegration, characteristics that might be expected if it were merely a piece of material affected by the intense heat.
Observers have ruled out common explanations such as birds, planes, or helicopters. The object’s rapid movement and apparent change in direction suggest advanced maneuverability, sparking comparisons to UFOs/UAPs.
With the growing number of reported sightings involving drones, orbs, and UFOs, the appearance of this potential UFO or drone in such an environment is especially intriguing. Could this object represent evidence of advanced technology monitoring Earth's natural disasters? Or is it an entirely natural but poorly understood phenomenon?
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By USH
During a recent interview, Darkjournalist Daniel Liszt lays out beyond critical information regarding the recent sightings of mystery drones across the U.S.
Here is a brief summary outlining the key points of what Darkjournalist believes is actually happen, according to his analysis.
The unfolding events surrounding the mystery drone swarms and UFO/Orb sightings appear to be part of a larger, coordinated operation led by covert organizations. At the heart of this situation, we see an apparent "dry run" for a massive UFO related event, something unprecedented in scale.
Two significant secret structures are operating in overdrive: the Continuity of Government (COG) framework, the Secret Space Program (SSP), and their affiliated Deep State entities.
Reports describe unidentified drones hovering over populated metropolitan areas, creating unease and confusion. These occurrences seem designed to provoke public panic and gauge reactions to aerial threats. This data mining effort aligns with a broader plan to cement the idea of a UFO threat in the collective consciousness.
The objective appears to involve large-scale public tests through overflights of drones to observe how communities respond to the perception of an "alien" threat. This effort dovetails with the government’s ability to invoke emergency powers, potentially leading to the activation of the Continuity of Government (COG) program.
In recent months, reports indicate that combatant commanders have been conducting drone tests under the guise of countering Unidentified Aerial Phenomena (UAP).
Historical patterns show that drills often precede major events. For example, during the events of 9/11, a drill reportedly transitioned into an actual crisis. The concern now is whether the current exercises, involving drones and UAP narratives, could similarly go live.
The recent increase in mystery drone sightings across the U.S. suggests a coordinated rollout of these narratives. There are rumors of additional drills, described as "full lockout" exercises, are scheduled to continue through the holiday season. These events involve the military taking over air traffic and communication systems for hours at a time.
NORAD and NORTHCOM are central to these operations. In an emergency scenario, the NORAD Commander—who also serves as the COG combatant commander—would assume control of the United States under the COG framework.
Insiders hint at a significant public spectacle on the horizon, with the possibility of transitioning from a test scenario to a live event. This could involve widespread sightings of drone swarms, coupled with UAP reports, creating a perceived crisis that demands emergency powers.
The recent drone and UFO/Orb activities reflect a calculated test by elements within the Deep State to shape public perception and readiness for a potential UFO-related crisis. These operations aim to solidify control and prepare the groundwork for leveraging emergency powers under a fabricated or exaggerated threat scenario.
In summary: The recent flurry of activities points to a deliberate effort to shape how we think and react to an extraterrestrial threat, real or not. At its core, this is a calculated test, designed to prepare the public for a potential UFO crisis where emergency powers could reshape the social and political landscape.
It might be a coincidence, but this year Congress passed a law granting NORTHCOM authority in the event drones are deemed a national security threat, potentially triggering the implementation of Continuity of Government (COG). This scenario could unfold before Trump’s inauguration, bypassing both Biden’s presidency and Trump’s assumption of office, leading instead to an emergency powers president.
This isn’t just about UFOs or drones, it's about power, perception, and control. The Deep State is losing its grip, pushing them to play their final card: a fake UFO invasion to maintain authority. This is why their once-hidden advanced technologies are now being revealed, indicating ongoing testing and strategic preparations. Evidence points to highly advanced drone technology, cutting edge tech designed to simulate a so-called "UFO threat."
So, the next time you glance up at the sky and spot something strange, remember: what you’re seeing might not be an alien invasion. It could be the latest move in a high-stakes chess game, played by forces that thrive in the shadows. View the full article
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By USH
A security camera recently captured an eerie scene that has left people intrigued and spooked. In the footage, recorded at dawn, a mysterious figure dressed in white appears near a large vehicle. What makes the video even stranger is the reaction of two nearby dogs, who seem unusually distressed and unsettled by the presence.
While the exact location in Mexico where this happened hasn’t been confirmed, many are already speculating about the figure’s identity. Some believe it could be La Llorona, the legendary weeping woman from Mexican folklore. La Llorona is said to wander in sorrow, mourning her lost children, and has been the focus of countless ghost stories over the years.
Others have suggested a different explanation, claiming the figure resembles a "nightcrawler," a strange cryptid reportedly known for its bizarre appearance.
Skeptics, however, argue that it might just be a person caught in an unusual moment, and the dogs’ reactions could be explained by their heightened senses picking up on something out of the ordinary. Still, the dogs' unsettling behavior has sparked debate about whether the encounter might have been something paranormal.
For now, the true nature of the figure remains a mystery. View the full article
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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.
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