Remote sensing-based forest fire occurrence prediction system

基于遥感的森林火灾发生预测系统

• 批准号: 371778-2011
• 负责人: Hassan, QuaziKhalid
• 金额: $ 1.38万
• 依托单位: University of Calgary
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2014
• 资助国家: 加拿大
• 起止时间: 2014-01-01 至 2015-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=550112
• 关键词: Remote; sensing; based; forest; fire

In Canada, the forest industry contributes about 1.7% of the national gross domestic product. The dominant forest type is boreal forest that occupies ~35% of its landmass and represents 77% of total forested area. Forest fire is an integral part of the boreal forest; and on an average, there are 10,000 fires that burn about 2.5 million hectares of forests per year in Canada. Forest fires cause both losses (e.g., burning trees, release of carbon dioxide, health hazard due to smoke, etc.), and benefits (e.g., supports regeneration, controls disease and insects, release of seeds, etc.). Thus, it is worthwhile to investigate the factors associated with the occurrence of fire such that losses can be minimized while the benefits' maximized.

在加拿大，森林业约占全国国内生产总值的1.7%。森林类型以北方林为主，占其陆地面积的35%，占森林总面积的77%。森林火灾是北方森林的组成部分；加拿大平均每年发生10,000场火灾，烧毁约250万公顷的森林。森林火灾既造成损失(例如，烧毁树木、释放二氧化碳、烟雾造成的健康危害等)，也造成好处(例如，支持再生、控制病虫害、释放种子等)。因此，研究与火灾发生相关的因素，使火灾损失最小，效益最大，是值得研究的问题。