遥感与GIS在我国国家公园建设与保护研究中的应用及展望  

Application of Remote Sensing and GIS to Research on China's National Park Construction and Conservation and Its Prospects

作　　者：任承芳 和正华 赵冬莲 叶江霞 Ren Chengfang;He Zhenghua;Zhao Donglian;Ye Jiangxia(Forestry College,Southwest Forestry University,Kunming 650224,China;Shangri-La Pudacuo National Park Authority,Shangri-La 674400,Yunnan,China)

机构地区：[1]西南林业大学林学院,昆明650224 [2]香格里拉普达措国家公园管理局,云南香格里拉674400

出　　处：《世界林业研究》2024年第4期72-77,共6页World Forestry Research

基　　金：国家自然科学基金“面向高效和安全扑救决策的森林火灾场景自动识别研究”(32360392);云南省科技计划项目“松材线虫病人为扩散传播作用机制及预警研究”(202301BD070001-245)。

摘　　要：随着自然生态环境破坏日益严重,建立国家公园保护生态环境引起世界各国关注,国家公园建设与保护研究已成为保护自然生态环境、平衡社会经济可持续发展的重要内容。随着现代空间信息技术的发展,遥感(RS)与地理信息系统(GIS)技术逐渐应用于国家公园研究中。文中针对当前RS和GIS技术在国家公园等自然保护地建设与保护中的应用,梳理并总结其在生态系统服务价值评估、生态功能分区、景观格局分析、生态环境质量监测评估、生物多样性保护和生产力监测评估等方面的研究,并对基于多源遥感信息融合及人工智能的国家公园智能监测和预警进行了展望。As the natural eco-environment has been suffering increasing damage,establishing national parks to protect the ecological eco-environment attracts the attention of countries all over the world,and the research on the construction of national parks and on the conservation has become an important part in protecting the natural ecological environment and balancing the sustainable social and economic development.With the development of modern spatial information technology,remote sensing(RS)and geographic information system(GIS)have been gradually applied to national park research.In view of the current application of RS and GIS technologies in the construction and conservation of national parks and other protected areas,we review and summarize the application in the research on ecosystem service valuation,ecological function zoning,landscape pattern analysis,ecological environment quality monitoring and assessment,biodiversity conservation and productivity monitoring and assessment,etc.,and discuss the prospects in the intelligent monitoring and early-warning of national parks based on the fusion of multi-source remote sensing information and artificial intelligence.

关 键 词：国家公园 遥感 地理信息系统 多源信息融合 人工智能 生物多样性 

分 类 号：S759.91[农业科学—森林经理学] S771.8[农业科学—林学]