Product details
- Publisher : Random House Canada (March 30, 2021)
- Language : English
- Hardcover : 328 pages
- ISBN-10 : 0735279918
- ISBN-13 : 978-0735279919
- Item Weight : 1.15 pounds
- Dimensions : 6.29 x 1.04 x 9.27 inches
$13.26
While growing up in Peace River, Alberta, Trina Moyles heard many stories of Lookout Observers–strange, eccentric types who spent five-month summers alone, climbing 100-foot high towers and watching for signs of fire in the surrounding boreal forest. How could you isolate yourself for that long? she wondered. “I could never do it,” she told herself.
Craving a deeper sense of purpose, she left northern Alberta to pursue a decade-long career in global humanitarian work. After three years in East Africa, and newly engaged, Trina returned to Peace River with a plan to sponsor her fiance, Akello’s, immigration to Canada. Despite her fear of being alone in the woods, she applied for a seasonal lookout position and got the job.
Thus begins Trina’s first summer as one of a handful of lookouts scattered throughout Alberta, with only a farm dog, Holly–labeled “a domesticated wolf” by her former owners–to keep her company. While searching for smoke, Trina unravels under the pressure of a long-distance relationship–and a dawning awareness of the environmental crisis that climate change is producing in the boreal. Through megafires, lightning storms, and stunning encounters with wildlife, she learns to survive at the fire tower by forging deep connections with nature and with an extraordinary community of people dedicated to wildfire detection and combat. In isolation, she discovers a kind of self-awareness–and freedom–that only solitude can deliver. Lookout is a riveting story of loss, transformation, and belonging to oneself, layered with an eyewitness account of the destructive and regenerative power of wildfire in our northern forests.
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January 1, 1938
Paperback – July 8, 2011
by Tawanda Manyangadze (Author)
Remote sensing has been widely used in active forest fire detection; however there are some limitations in the operational contextual algorithms. These algorithms are greatly affected by clouds and different land cover types such as land and water with inherent temperatures. This book, therefore, provides a new multi-temporal threshold algorithm for near real-time forest fire detection using geostationary satellites, supplemental to the existing algorithms. This algorithm is based on temperature in IR3.9 channel and the difference between IR3.9 and IR10.8 channels. The multi-temporal threshold algorithm proved to have higher fire detection rate (50%) as compared to MSG FIR-G (3.7%) when ground data from Portugal was used for validation. This superiority was also confirmed over Southern Africa when MODIS fire product was used for validation. This analysis shows the possibility of manipulating the temporal domain of geostationary satellites in monitoring highly temporal environmental phenomenon. This algorithm could be especially useful to professionals in forest fire management, or anyone else who may be interested in applying geostationary satellites in environmental monitoring.
Paperback – May 28, 2007
UK ed. Edition
by Eduards Gomez (Author, Editor), Kristina Alvarez (Editor)
A forest fire is any uncontrolled, non-structure fire that occurs in the wilderness. Wildlife behavior is often complex and variably dependent on factors such as fuel type, moisture content in the fuel, humidity, wind speed, topology, geographic location and ambient temperature. Weather patterns, such as heat waves droughts can also have a dramatic impact on the onset and outcome of wildfires. Fire is sometimes essential for forest regeneration, however, it often destroys forests and has dire social and economic consequences. This book looks at the underlying causes of forest fires, their ecological effects and preventive strategies.
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