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In the Hindu Kush-Himalayan region, forest fires have recently raised environmental concerns as a hazard to both the natural ecosystem and human life and property. One such is the nearly 240,000 hectares of woods that were devastated by flames in Nepal during a recent dry season.
Real-time data is downloaded by the MODIS receiving station of the International Center for Integrated Mountain Development (ICIMOD), which is used by the Forest Fire Detection and Monitoring System.
Additionally, SERVIR-administrative Himalaya’s unit (district), protected area designation, land cover, elevation, slope, and data on the road network are included in the application. The afflicted areas are identified using the MODIS and auxiliary data, which also provide district-level fire count figures and geographic data for finding the fires.
On their mobile devices, subscribers receive email and SMS alerts. Additionally, the user of the interactive mapping programme can overlay the MODIS data with, or utilize a time-slider tool to pick and view fires that occurred during a specific period of time.
The Title Name accounted for $XX Billion in 2022 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2023 to 2030.
Dryad’s launched a silvanet which can ‘smell’ smoke. According to Dryad, this ultra-early fire detection technology detects smoke, hydrogen, and other gasses released during pyrolysis during the early stages of a wildfire, giving firefighters vital time and a chance to put out the fire before it gets out of control.
Early wildfire detection is crucial for stopping it before it takes a terrible turn. In the Italian forest of Montiferru, which recently experienced severe fire, a German startup is testing a novel “ultra-early” warning system for wildfires.
The sensors can spot forest fires in their earliest stages and even when there isn’t yet an open flame. The sensor uses built-in artificial intelligence to detect hydrogen, carbon monoxide, carbon dioxide, and other gasses at the ppm level in order to accurately identify fires and prevent false positives.
