Libby Township pollen forecast — Sandy Lake-COE neighborhood

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

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

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

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

At Sandy Lake-COE, the waterside hazel and willow are consistently first to release pollen each year, peaking in late winter through March. Grass pollen becomes the dominant allergen through late spring, peaking in June, followed by ragweed's own peak stretch from mid-August into October. Year-to-year timing varies a little, though the general sequence stays fairly consistent here.

The Libby 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 Libby 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.