Author: Joey Griebel
If all goes according
to plan, next month the GOES-R weather satellite will be launching and the next generation of weather forecasting, solar activity monitoring, and lightening detection will be here. This advanced satellite will change how quickly and accurately we are able to monitor and
predict hazardous weather and help give those in harm’s way the time needed to
prepare and evacuate. The GOES-R satellite will include:
Advanced Baseline Imager (ABI) – an advanced imager that has 3 times
more channels, 4 times better resolution , and 5 times faster than before. All of
this leads to better observation of severe storms, fire, smoke,
aerosols, and volcanic ash.
Geostationary Lightening Mapper - The lightning mapper will allow
mapping of lightning strikes on ground, as well as lightning in the atmosphere.
Researchers have found that an increase in lightning activity may be a sign of
tornadoes forming, thus providing the data to detect tornadoes faster.
Space Weather Observation - GOES-R will work with NOAA
instruments to gather information on radiation hazards from sun that can
interfere with communication and navigation systems, damage satellites,
threaten power utilities.
Corporation has been supporting NOAA with some aspects on the GOES-R Satellite
construction and will be providing the Ground System Support, as well as the
16.4 Meter triband antenna needed to stay in touch with it.
does this have to do with ENVI? Once GOES-R is operational and collecting data,
ENVI will be working to support the Harris Weather groups WXconnect systems for
data validation and visualization, supporting the ABI data directly in ENVI, as
well as working with NOAA to help continue to create advanced products in the
future. It is an exciting time for NOAA with this milestone launch and an
exciting time to be working with ENVI to get to work the advanced data that
will be coming down!
Below are the baseline products, as
well as some future products that can be expected.
Advanced Baseline Imager (ABI)
Absorbed Shortwave Radiation: Surface
Aerosol Detection (Including Smoke and Dust)
Aerosol Particle Size
Aerosol Optical Depth (AOD)
Aircraft Icing Threat
Clear Sky Masks
Cloud Ice Water Path
Cloud and Moisture Imagery
Cloud Optical Depth
Cloud Liquid Water
Cloud Particle Size Distribution
Cloud Top Height
Cloud Top Phase
Cloud Top Pressure
Cloud Top Temperature
Downward Longwave Radiation: Surface
Derived Motion Winds
Enhanced "V" / Overshooting Top Detection
Derived Stability Indices
Downward Shortwave Radiation: Surface
Fire/Hot Spot Characterization
Low Cloud and Fog
Hurricane Intensity Estimation
Land Surface Temperature (Skin)
Probability of Rainfall
Legacy Vertical Moisture Profile
Legacy Vertical Temperature Profile
Sea and Lake Ice: Age
Sea and Lake Ice: Concentration
Rainfall Rate / QPE
Sea and Lake Ice: Motion
Reflected Shortwave Radiation: TOA
Snow Depth (Over Plains)
Sea Surface Temperature (Skin)
Total Precipitable Water
Volcanic Ash: Detection and Height
Tropopause Folding Turbulence Prediction
Geostationary Lightning Mapper (GLM)
Upward Longwave Radiation: Surface
Lightning Detection: Events, Groups & Flashes
Upward Longwave Radiation: TOA
Space Environment In-Situ Suite (SEISS)
Vegetation Fraction: Green
Energetic Heavy Ions
Magnetospheric Electrons & Protons: Low Energy
Magnetospheric Electrons & Protons: Med & High Energy
Solar & Galactic Protons
Extreme Ultraviolet and X-ray Irradiance Suite (EXIS)
Solar Flux: EUV
Solar Flux: X-ray Irradiance
Solar Ultraviolet Imager (SUVI)
Solar EUV Imagery
Categories: ENVI Blog | Imagery Speaks
ENVI Services Engine: Change Detection
I was recently on NASA’s Earth
Observatory where I was reading about the shrinking glacier in Montana’s
Glacier National Park. They acquired 8 images dating from 1984 going through
2015 that focused near Lake McDonald where the Jackson and Blackfoot Glaciers
were very visible in false color images. They put together a slideshow showing
the time series of the extent of the glacier loss due to global warming and the
changing climate. The one thing that stuck out in my mind was how time consuming
it must have been to search for the data to find images that didn’t have clouds,
than download the data… and after that you would still need to run your
analysis or comparison.
In the past few years we have started to see a shift to
where users want to run the analysis where this data resides, for instance on
applications like Amazon Web Services. As we continue to implement more and
more ENVI tasks on Amazon Web Services, you can truly take your analysis to the
where the data is. In the Change Detection example below, one of our engineers
put together a quick interface utilizing ESRI basemaps to define the area of
interest. By linking to ESRI’s endpoint (Landsat.arcgis.com) you can stream in
the Landsat data available for that area of interest. In this example, we can
search for the area we are interested in seeing (Glacier National Park), see
what data is available during different years, filter out the data based upon
cloud coverage, and then apply Spectral Indices if wanted:
Once you have found the two scenes you want, you simply
click change detection and the ENVI tasks run through the steps of the normal analysis
and provide updates along the way:
In no time at all, you are given the results of the quick
change detection analysis that shows you in Dark Red (red is what has fled the
image from time 1). The blue areas shown in the result are new areas to the
scene. In these scenes it looks like snowpack that hasn’t quite melted. If you
take a look at the examples provided on Earth Observatory, they focus on the
Jackson and Blackfoot glacier, which are the areas you see in the Dark red
This gives you an idea of how you can further the original
visual comparison and create shape files to highlight the glacier loss without
having to take the time to comb through data for the right set and then
download it for analysis. The possibilities for applications like this are
really endless as we continue to wrap ENVI functionality into ENVI tasks. ENVI
Services Engine allows you to quickly and easily take the analysis to where the
data is and save time on downloading, as well as utilize powerful processing tools.
Give it a try yourself here
McMurray Fire is still making headlines and shows no signs of slowing down more
than three weeks after it began. The devastating path of the fire has burned
over 2018 square miles and destroyed some 2,400 homes and buildings. Wildfire
Manager Chad Morrison is expecting weeks, if not months, of fighting the fire
as it continues its path North crossing over from Alberta into Saskatchewan.
Hot, dry weather conditions combined with only millimeters of moisture on the
southern end of the fire haven’t helped containment efforts.
NASA continues to aid the firefighting effort
by capturing a vast amount of Imagery over the fire from their Modis, Landsat
8, and Suomi NPP
satellites (shown below). The sensors on the satellites allow penetration of
the clouds and smoke and make it possible to see hotspots using thermal and IR
bands. This helps those managing the firefighting efforts to deploy assets in areas
where there are hotspots, regardless of the smoke of cloud coverage. The imagery captured also
aides in the recovery efforts and allows the government to widely asses the
areas burned and see what has survived the blaze.
Clear weather aligned with Suomi NPP’s flight
over Fort McMurray on May 24th giving a spectacular view of the fire.
The image shows the sheer size of the burn and the intensity at which it
continues to burn.
The Image above has
been processed, making it easy to identify the burn scar, as well as see where
the fire continues to roar near the North side of the scar. Having both thermal
and visible imagery makes it possible to classify cloud, smoke, land, and then
the active blaze itself.
Though the Suomi Image
is my image of the month, there was one additional image from Joshua Stevens at
NASA Earth Observatory from May 12th that shows another close perspective from
Landsat 8 of the burn scar itself surrounding Fort McMurray and the fire
burning to the South/Southwest.
(Credits: NASA EarthObservatory image by Joshua Stevens, using Landsat data from the U.S. Geological Survey)
The contrast of the
burn scar and surrounding healthy vegetation shows the extent the fire has
scorched this area. Hopefully, additional wildfire crews that have been
approved, and cooperating weather, will help get the upper hand on the blaze in
the coming weeks. Containing the fire is just the first step in getting the
residents of Fort McMurray on the road to rebuilding their town.
No matter what industry you are in right now, you've probably heard the hype around UAS and what that could mean in terms of productivity, savings, and real-time analytics. The possibilities that UAS acquired data offer are incredibly exciting, whether it's no longer needing to charter a helicopter for corridor mapping, being able to tell a farmer in real time where his crops are struggling, or quickly deploying thermal cameras for search and rescue operations.
For more than a year or so now, the buzz has been building. But in reality, things have been slow to get off the ground. This is in large part due to the FAA’s restrictions in this space that limit Commercial/Government operators. The good news is the FAA is learning and adapting and as it gets more information it is starting to make it easier on UAS section 333 exemption holders.
(Hyperspectral Imager from AIBOTIX)
As the FAA continues to make progress in accessing the situation, there was a promising announcement made on March 29th:
After a comprehensive risk analysis, the Federal Aviation Administration (FAA) has raised the unmanned aircraft (UAS)“blanket” altitude authorization for Section 333 exemption holders and government aircraft operators to 400 feet. Previously, the agency had put in place a nationwide Certificate of Waiver or Authorization (COA) for such flights up to 200 feet. The new COA policy allows small unmanned aircraft—operated as other than model aircraft (i.e. commercial use)—to fly up to 400 feet anywhere in the country except restricted airspace and other areas, such as major cities, where the agency prohibits UAS operations. “This is another milestone in our effort to change the traditional speed of government,” said FAA Administrator Michael Huerta. “Expanding the authorized airspace for these operations means government and industry can carry out unmanned aircraft missions more quickly and with less red tape.”
While 400 feet might not sound significant, what the FAA did was actually double the flight ceiling height. This means that UAS operators can potentially capture twice the data they could previously. That's a big deal! For a large area of interest, flying a UAS at the 200 feet ceiling might not have made sense because it would have been too time-intensive to cover the full area, especially when a lot of UAS have limited flight times. As the FAA restrictions continue to loosen on commercial UAS operators, 2016 could very well be the year we start to see more UAS projects taking off. It will be exciting to see how this type of data collection transforms our industry.
As 2016 is off to the races, one of the many exciting happenings at Harris Geospatial is the recent partnership with Icaros Geospatial Solutions and the addition of an Icaros OneButton™ Extension in ENVI. With over 1 million hobby drones sold during the holiday season, those capable of flying drones and the presence of UAS/UAV acquired data will only become more prevalent in the upcoming years. What that means for those providing analytic tools to make actionable information from the data is we need to find a way to work with the data and get accurate results.This is where Icaros comes into play.
Icaros allows a user do a variety of processing to their data sets including photogrammetric geocorrection, aerial triangulation, digital terrain modeling, and the key piece -- orthomosaic production. They have options that range from "one button" where you simply click and run the processing to "one button pro" where you have more manual options to insure accuracy and where you can do additional QC like replacing a bad scene from the mosaic. These capabilities bridge the gap between acquiring UAS/UAV data andactually being able to run analytics and provide answers in a timely fashion.On the other end of the spectrum, ENVI+IDL is able to bring not only post processing analytics, but tackle one of the huge problems facing UAS/UAV acquired data, data integrity from sensors and the ability to pre process the data and insure bands are aligned before it is ingested in Icaros.
With the partnering of ENVI+IDL, you have an end-to-end solution for working with UAS/UAV acquired data. You have the ability to verify the data lines up and pre process if needed, easily ingest and stitch large swaths of data using Icaros One button, and then ingest the data into ENVI and work with it as you would satellite imagery.
Tags: ENVI, UAV, UAS, ENVI+IDL, Icaros OneButton, photogrammetric geocorrection, aerial triangulation, digital terrain modeling, orthomosaic production
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