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All Applications / 03 · Wildfire & Resilience
Sector Proof & Deployments

Wildfire & Resilience

A weather installation is also a communications project. How local sensing, non-cellular telemetry, and autonomous mesh operate in complex, fire-prone terrain.

Zero-Cellular Corridor Autonomous Microclimates H1 LoRaWAN & D2 Mesh PG&E Forest Deployment
Deployment Spotlight · 01

Utility Forest Corridor Communications

Customer: PG&E ↗
Weather station deployed on a mountain ridge monitoring fire weather conditions
California · Zero-cellular forest corridor
Remote weather infrastructure
A weather installation is also a communications project.
PG&E deployment
California · Forest Corridors

Sensing is only useful if the data can leave the site.

Forest terrain, dense vegetation and rugged canyons create severe cellular blackouts exactly where localized fire-weather observations can matter most. The deployment therefore had to solve measurement, power and communications together.

Architecture: H1 LoRaWAN was used for the original field deployment. The same site constraints later informed D2 Mesh and H2-LEO product directions.
The problem

Steep terrain and dense canopy can block cellular backhaul, leaving conventional connected stations offline in remote corridors.

The work

WeatherXM deployed autonomous LoRaWAN weather stations for PG&E to collect local fire-weather observations without depending on cellular coverage.

What we learned

Terrain and communications constraints must be designed together, which directly shaped our later off-grid mesh and satellite work.

From sensing to backhaul

Local weather and resilient communications belong in the same design.

Wildfire corridors combine sharp microclimate changes with difficult radio propagation. The observation network has to follow the terrain physically and move data around the same obstacles.

Field deployment crew installing a WeatherXM weather station for forest microclimate monitoring
Field Siting
Fire-weather microclimates
Measure the ridge, canyon and exposed perimeter.

Terrain, vegetation, ridgelines and wind funnels create sharp local differences in humidity, temperature and wind. A regional observation or model can miss the conditions at the actual infrastructure corridor.

Ridge
wind · RH
Canyon
drainage · shade
Perimeter
heat · gusts
Multi-hop ridge mesh deployment bypassing deep forest terrain
D2 · Multi-hop mesh pattern
Topology Architecture

Route around the obstacle instead of depending on a tower.

In terrain where a direct path is unreliable, stations can relay observations hop-by-hop toward a gateway. The goal is not a particular radio technology; it is an architecture that matches the physical site.

NODE
local sensing
RELAY
multi-hop path
GATEWAY
internet uplink
Field Engineering Findings

Why Backcountry Weather Networks Fail

Engineering weather observation networks to survive off-grid isolation and severe environmental extremes.

FINDING 01 · CANOPY ATTENUATION

RF Absorption in Wet Foliage

Standard 868/915 MHz RF propagation drops precipitously across dense pine and redwood canopies. Direct ground-to-cell towers lose link budget without line-of-sight clearing.

Radio Budget: Non-line-of-sight loss
FINDING 02 · KATABATIC WINDS

Ridge vs canyon thermal shifts

Nighttime downslope winds (Santa Ana, Diablo winds) funnel through narrow ravines at double the velocity measured at valley floor stations, accelerating fire spread without warning.

Dynamics: Localized ravine acceleration
FINDING 03 · ZERO-INFRASTRUCTURE RELAY

Multi-Hop Resilient Uplinks

When cell towers burn or lose power during Public Safety Power Shutoffs (PSPS), autonomous mesh stations relay critical humidity and wind telemetry hop-by-hop along ridge crests.

Reliability: Decentralized packet routing
Remote & Off-Grid Deployment

Need resilient off-grid sensing for backcountry corridors?

Discuss remote weather monitoring requirements or explore our next-generation off-grid mesh and direct-to-satellite hardware.