文章摘要
李纪友,郭盛才,刘亚文,陈 盼,张雨田.广东省自然保护地人类活动“ 天空地” 一体化监测体系构建与应用[J].林业调查规划,2026,51(3):68-74
广东省自然保护地人类活动“ 天空地” 一体化监测体系构建与应用
Construction and Application of Space-Air-Ground Integrated MonitoringSystem for Human Activities in Nature Reserves of Guangdong Province
  
DOI：
中文关键词: “天空地”一体化  遥感监测  自然保护地  无人机  实地核查  人类活动监测信息管理系统  解译模型
英文关键词: space-air-ground integration  remote sensing monitoring  nature reserve  unmanned aerial vehicle  on-site verification  human activity monitoring information management system  interpretation model
基金项目:广东省2024年生态林业建设专项(24108).
作者单位
李纪友 广东省林业调查规划院,广东 广州 510520 
郭盛才 广东省林业调查规划院,广东 广州 510520 
刘亚文 广东省林业调查规划院,广东 广州 510520 
陈 盼 广东省林业调查规划院,广东 广州 510520 
张雨田 广东省岭南院勘察设计有限公司,广东 广州 510000 
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中文摘要:
      充分运用卫星遥感、无人机和AI等先进技术,搭建自然保护地人类活动监测信息管理系统,结合不同类型人类活动解译模型,构建了广东省自然保护地人类活动“天空地” 一体化监测体系。基于一体化监测体系,通过对人类活动变化图斑的快速提取、实地核查和在线更新,达到对全省自然保护地人类活动的全面覆盖和全流程监控,掌握了全省自然保护地内人类活动动态变化情况。结果表明,基于一体化监测体系的广东省自然保护地人类活动呈现一定的特征,森林经营类人类活动最多,破坏性较大的人类活动相对较少;部分类型人类活动遥感判读准确率有待提高,需要完善人类活动解译模型;只有少数人类活动变化图斑需要整改,进行图斑现场核实十分重要。
英文摘要:
      By fully adopting advanced technologies such as satellite remote sensing, unmanned aerial vehicle and artificial intelligence, a monitoring information management system for human activities in nature reserves was established. Combined with different types of human activity interpretation models, an integrated space-air-ground monitoring system for human activities in nature reserves of Guangdong Province was constructed. Based on an integrated monitoring system, through the rapid extraction, on-site verification and online update of human activity change patches, comprehensive coverage and full-process monitoring of human activities in nature reserves throughout the province were achieved, and the dynamic changes were clarified. The analysis results showed that human activities in nature reserves of Guangdong Province based on the integrated monitoring system presented certain characteristics. Forest management activities accounted for the largest proportion, while highly destructive human activities were relatively limited. The remote sensing interpretation accuracy of partial human activity types needed to be improved, and relevant interpretation models should be further optimized. Only a few human activity variation patches needed to be rectified, and on-site verification of the patches was of great significance.
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