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森林碳储量遥感卫星现状及趋势

Status and Development of Forest Carbon Storage Remote Sensing Satellites

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【作者】 庞勇李增元余涛刘清旺赵磊陈尔学

【Author】 PANG Yong;LI Zengyuan;YU Tao;LIU Qingwang;ZHAO Lei;CHEN Erxue;Institute of Forest Resource Information Techniques CAF;National Forestry and Grassland Administration, Key Laboratory of Remote Sensing and Information Technology in Forestry;

【通讯作者】 李增元;

【机构】 中国林业科学研究院资源信息研究所国家林业和草原局林业遥感与信息技术重点实验室

【摘要】 “二氧化碳排放于2030年前达到峰值,2060年前实现碳中和”是统筹中国国内经济社会发展与全球应对气候变化协同共赢的重大战略。森林生态系统是陆地生态系统的主体,在减缓温室效应、维持全球碳平衡中起着极其重要的作用。精准计量森林生态系统的碳储量,可以加深对全球碳循环过程的理解,为“双碳”目标的实现提供科学支撑。近年来,卫星遥感技术迅猛发展,多类型的光学遥感数据、激光雷达遥感数据、合成孔径雷达数据等,为森林碳储量的定量估测提供了丰富、可靠的数据源。文章综述了森林碳储量遥感卫星载荷技术发展现状及趋势,分析了森林碳储量遥感卫星常用观测模式,论述了森林碳储量地面真实性检验系统发展状况。文章可为森林碳储量遥感卫星设计与应用提供有益参考。

【Abstract】 “Peak emissions before 2030, carbon neutrality by 2060” is a major strategy put forward by China for coordinating economic and social development, and tackling global climate change. Forest ecosystem is the main body of terrestrial ecosystem, which plays an important role in slowing down the greenhouse effect and maintaining the global carbon balance. Accurately estimating carbon storage in forest ecosystems could deepen the understanding of global carbon cycle and provide scientific support for the realization of the “double carbon” goal. In recent years, satellite remote sensing technology is developing rapidly. Multiple types of optical remote sensing data, LiDAR remote Sensing data, synthetic aperture radar data, provide rich and reliable data source for quantitative estimation of forest carbon storage. In this paper, the development trend of satellites for monitoring forest carbon storage was reviewed, the common planning modes for forest carbon storage remote sensing satellites were analyzed, and the development of ground validation system for forest carbon storage products were discussed. This paper provides reference for the design and application of forest carbon storage remote sensing satellites.

【基金】 国家重点研发计划“战略性国际科技创新合作”重点专项“森林资源激光雷达遥感动态监测与蓄积量估测技术联合研发(2020YFE0200800)”;国家自然科学基金项目“星载光子计数激光雷达森林参数反演模型研究(41871278)”
  • 【文献出处】 航天返回与遥感 ,Spacecraft Recovery & Remote Sensing , 编辑部邮箱 ,2022年06期
  • 【分类号】S771.8
  • 【下载频次】124
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