植被(病理学)
卫星
遥感
环境科学
自然地理学
期限(时间)
远东
生物多样性
地理
生态学
考古
量子力学
医学
生物
物理
工程类
病理
航空航天工程
作者
Vladimir Glagolev,Anna M. Zubareva
摘要
In this study, data processing of MODIS satellite images was carried out to identify areas with a high fire hazard for 2016. The characteristics of vegetation in 2016–2017 were considered. An algorithm was proposed for the spatiotemporal analysis of the distribution of vegetation fires to assess the biodiversity of the territory and damage from vegetation fires. This algorithm considers the influence of vegetation fires on the transformation of the vegetation territory of the Russian Far East.
科研通智能强力驱动
Strongly Powered by AbleSci AI