Beatty Township pollen forecast — Kabetogama State Forest - Wakemup Bay Campground neighborhood

On 30 August 2026, overall pollen levels in Beatty Township are moderate. Grass is the main contributor to airborne pollen, while ambrosia and artemisia remain at lower levels

On 31 August 2026, pollen conditions in Beatty Township will be similar to today, with grass at moderate levels, ambrosia at moderate levels, artemisia at low levels

According to the five-day outlook, grass and ambrosia pollen levels are expected to gradually decrease, while artemisia pollen will increase, suggesting mixed conditions later in the week.

On 30 August 2026, Grass is the dominant pollen source in Beatty Township. ambrosia and artemisia are also present but at lower levels. cypress are not currently active.

In Kabetogama State Forest - Wakemup Bay Campground, hazel and willow by the water are typically first out of the gate, peaking in late winter through March. By late spring, grass pollen is climbing steadily toward a June high point, then yields to ragweed, the dominant late-summer and fall allergen through October.

The Beatty Township pollen forecast is updated four times daily. See the timestamp below for the most recent update.

Studies show that most pollen exposure (often 70–90%) comes from nearby sources, such as local trees and vegetation. A good pollen forecast therefore depends on accurately representing local vegetation. Pollen can travel long distances, but this usually matters only early in the season or during specific wind events.

Pollen data is often misunderstood. Most "pollen levels" are not real-time measurements, but forecasts.

Direct pollen measurements are typically delayed by 1-2 days because they require manual analysis. To show current conditions in Beatty Township, modern forecasts combine recent measurements, weather data, and information about local vegetation.

This allows us to estimate pollen levels for today and the coming days, not just report the past.

Airmine’s atmospheric monitoring platform was developed with support from the European Space Agency (ESA)’s Business Applications and Space Solutions (BASS) team, using satellite and Earth observation technologies to improve emissions monitoring.