Ambee collects raw data from its thousands of on-ground sensors and multiple earth observations satellites and integrates them into a series of models. These proprietary models first clean & sort the data and then co-relate it with insights that will strengthen the accuracy of the final product. This process results in high-resolution, highly granular, and accurate real-time pollen data.
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When we hear the words ‘pollen season,’ the first images that often come to mind are picturesque scenes of colorful spring flowers and pleasant, warm temperatures. While it's true that spring is a significant contributor to pollen season, the reality is that this phenomenon extends far beyond the blossoming of flowers. Pollen season is a complex and year-round occurrence that affects millions of people worldwide.
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Ambee’s Webhooks alerts provide real-time access to a vast array of environmental data points such as air quality index, weather conditions, pollen levels, and more. By integrating this valuable information with Google Sheets - a widely used cloud-based spreadsheet platform - you can easily organize and analyze the data within familiar interfaces.
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repercussion. Even a small action could have a series of consequences that could worsen the situation.
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will affect the environment negatively. With this thought in mind, Ambee’s air quality and forest fire APIs have been designed to accumulate data to mitigate the risks caused by fire and air pollution.
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Pollen and air quality data can be used to inform public policy decisions, help determine the best
time to exercise, and even aid in the diagnosis and treatment of respiratory illnesses. With the help of technology, it is now possible to map pollen and air quality levels in an efficient and cost effective manner. With Ambee's data, people everywhere can get a real-time understanding of their hyperlocal environment. This data is being used to power decisions by everyone from startups to Fortune 500 companies across the globe.
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They can do this by examining past wildfire data, preventing supply chain disruption, safeguarding factory and road workers' lives through live fire events, and predicting wildfire dataset risk around infrastructure and buildings.
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air pollution decisions that are informed. Ambee's solutions anticipate and forecast air quality
with better accuracy and detail over low-cost sensors just on the market by combining satellite and
meteorological data with fine-grained IoT data.
Wildfires can occur anytime, anywhere, and are frequently brought on by human action or a natural occurrence like lightning. It is unknown how 50% of the wildfires dataset that has been reported got started.
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To properly manage and reduce the threat of wildfires to human health, livelihoods, biodiversity, and the global climate requires worldwide collaboration among all stakeholders.
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Checking pollen count today? Here’s everything to know about pollen allergy-proofing now
1. Checking pollen count today here’s everything to know about pollen
allergy-proofing now
Did you know that the first recorded pollen count was around the 1700s by an
English microscopist. The first pollen-related allergy was identified in 1565 by
Leonardo Botallo, an Italian-born Frenchman. The gap between identifying the
pollen allergy and classifying the cause took about 200 years. After almost 500
years since the first case of pollen allergy, we still rely on manual methods of
pollen count measurements.
But, first, let’s understand what pollen count means & why we should
measure it?
Pollen is a powdery grain-like substance that’s produced by plants for the process
of reproduction. The pollen count is a measurement of the number of pollen
grains found in the air. It is important to measure pollen count as it causes
allergies such as hayfever or allergic rhinitis.
What is the most popular method to measure pollen count today?
The most popular method to manually measure pollen count today is The
RotorodTM
Sampler Technique.
The RotorodTM
is an air sampling device with silicone-grease-coated clear rods
that rotate to collect the pollen grains in the air. Every day, two pollen collector
rods are placed in the RotorodTM
Sampler. The rods are greased lightly to capture
and retain the pollen grains present in the air. The Rotorod sampler spins the rods
through the air for 60 seconds at every 10 min interval exposing the rods to
capture pollen for 6 mins/hr. The pollen captured on the rods is collected the
following day for examination. The type and species of pollen grains collected are
identified and sorted using microscopy.
And who counts the pollen grains daily?
What’s surprising about manual pollen tracking is that there are no government-
installed measurement stations. All across the US, private companies handle the
task of collecting and providing pollen data to consumers. According to
the American Academy of Allergy, Asthma & Immunology(AAAAI), any individual
can become a pollen tracker after taking a certification exam.
After using the Rotorod sampling method, the pollen counters will divide the
collected pollen grains into three significant categories: low, standard, and high.
The type of pollen grains is first identified as grasses, molds, trees, and weeds.
Later, they are counted to determine whether they are primarily found or vice
versa.
2. What values are considered high pollen count?
Trees 90 – 1499
Grass 20 – 199
Mold 13,000 – 49,000
Weed 50 – 499
Then, what is a standard pollen count?
The standard pollen count for an area is the average pollen count found in the
region. The pollen values are averaged to the type of pollen by the pollen
trackers. This average value is considered the standard pollen near a region.
What are the steps you need to take if your pollen count is
high?
Some of these tried & tested ways to manage seasonal allergies during high
pollen levels. They are
1. Reduce your exposure to the things that trigger your allergies
2. Try to stay indoors on extremely windy days especially when the weather is
dry.
3. Cover your face with a protective layer while mowing lawns, pulling weeds,
and doing chores around the garden.
4. Make sure to dust the laundry after you hang dry them outside. Pollen
grains can stick to certain types of materials
2. Make sure to keep the air indoors clean
1. Change the air filters in your air conditioning systems regularly.
2. Use high-efficiency (HEPA) filters in your home & car.
3. Keep your indoor air dry with an air dehumidifier
3. Stay updated on the standard pollen count in your area
1. Regularly check your local TV or radio station, newspaper, or internet for
pollen forecasts.
2. Learn when pollen seasons will arrive and how long it will last to stay
prepared.
3. 3. Download the Ambee air quality, pollen & weather app to get real-time
updates on the pollen in your area.
The Ambee app can give you updates on the high, low, and standard counts in
your area.
Is manual pollen count measurement accurate?
When using manual methods for measuring pollen count, there are some
questions that go unanswered. They are
1. During what time of the day is the pollen count highest?
2. How do climate and temperature affect the rise and fall of pollen count?
3. At what time during the day does the pollen count appear in the air?
Advanced or detailed analysis of pollen count behavior is necessary to answer
these questions. Now more than ever, it is essential to have accurate
measurement techniques as climate change makes pollen seasons unpredictable.
We need a measuring process that reports pollen data by the hour. Thanks to
advanced analytics, earth observation satellites, and data science techniques,
there is a way to measure pollen accurately.
Is there a solution to accurate pollen count
measurement?
Yes, there is. Most allergies are driven by environmental factors like wind,
temperature, storms, humidity, and a particular species of plants growing in
specific areas. All plants have predictable behavior. Some species of plants
require high humidity to burst and create allergens; others are blown away by the
force of the wind. To precisely understand when this process will occur, the
information on different locations of all species of tree, grass, and weed pollen is
collected. With the help of machine learning (ML), this information is pulled
together to predict the conditions & symptoms of allergens. This method will first
identify the best factors for your location by considering the atmospheric
conditions and predict pollen count.
4. How does Ambee provide its pollen count?
Ambee collects raw data from its thousands of on-ground sensors and multiple
earth observations satellites and integrates them into a series of models. These
proprietary models first clean & sort the data and then co-relate it with insights
that will strengthen the accuracy of the final product. This process results in high-
resolution, highly granular, and accurate real-time pollen data.
How is the pollen count data measured today by Ambee
different?
There is an extensive list of uncertainties related to manual pollen
count measurement. The Rotorod technique provides pollen counts for a limited
area and a fixed period (daily). But a method that pretty much gets data directly
from the source–the atmosphere has much more advantages.
The pollen count API gives accurate insights into variations in seasons
across the globe.
Research-backed data science techniques and ML algorithms are much
more constant and accurate when compared with manual counting of pollen
grains. (There is an added human error involved too)
Pollen count data from this technology has a high resolution down to street-
by-street level and can give alerts at hourly intervals.
Since satellite data does the collection, the pollen count levels are available
for most locations worldwide.
A Dataset That Helps the World Heal
The constant evolution of pollen count measurement has been nothing but
promising. We believe that this cutting-edge technology powered by scientifically
validated datasets can potentially transform the lives of millions.
Using real-time pollen data, we can prevent future risks associated with pollen
allergies. We can identify trends and build better action plans with historical pollen
data. The possibilities are endless when it comes to the application of pollen data.