湖泊碳循环研究中遥感技术的机遇与挑战  

Remote sensing technology in the study of lake carbon cycle:Opportunities and challenges

作　　者：黄昌春[1] 姚凌[2,3] 李俊生 周成虎 郭宇龙[5] 李云梅 HUANG Changchun;YAO Ling;LI Junsheng;ZHOU Chenghu;GUO Yulong;LI Yunmei(School of Geography,Nanjing Normal University,Nanjing 210023,China;Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China;Southern Marine Science and Engineering Guangdong Laboratory,Guangzhou 511458,China;Institute of Remote Sensing and Digital Earth,Chinese Academy of Sciences,Beijing 100094,China;Henan Agricultural University,College of Resources and Environmental Sciences,Zhengzhou 450002,China)

机构地区：[1]南京师范大学地理科学学院,南京210023 [2]中国科学院地理科学与资源研究所,北京100101 [3]南方海洋科学与工程广东省实验室(广州),广州511458 [4]中国科学院空天信息创新研究院,北京100094 [5]河南农业大学资源与环境学院,郑州450002

出　　处：《遥感学报》2022年第1期49-67,共19页NATIONAL REMOTE SENSING BULLETIN

基　　金：国家自然科学基金(编号:41971286,41773097);南方海洋科学与工程广东省实验室(广州)人才团队引进重大专项(编号:GML2019ZD0301)。

摘　　要：湖泊碳循环是全球碳循环过程中的重要环节,随着全球碳循环研究的不断深入,湖泊碳循环对全球碳循环的影响,以及其对全球气候变化的调节作用越来越受到关注。然而,由于湖泊分布的破碎性(大于0.002 km^(2)的湖泊约有1.17×10^(8)个,并零星地分布在全球)和多样性(流域生态多样性,湖泊类型多样性,分布的气候带多样性等),使得全面监测和研究全球湖泊碳循环具有较大的挑战性。具有大面积同步连续观测优势的遥感技术可以克服传统观测方法的局限,可为全球湖泊碳循环研究提供大面积同步观测数据的支撑。同时,由于光谱在物质识别和探测方面的优势,使得遥感技术在有机质类型反演方面与地球化学方法存在结合的可能。本文回顾了目前水环境遥感研究中与湖泊碳循环相关的湖泊不同类型碳浓度、水体理化参数等遥感反演算法及其应用的现状,结合湖泊碳循环中有机碳迁移转化的生物地球化学过程,以及湖泊碳循环研究、遥感大数据和人工智能的发展,探讨了湖泊碳循环研究中遥感技术应用的机遇和挑战。lake carbon cycle is an important segment in the global carbon cycle.Growing attention has been received to lake carbon cycle for its virtual effect on the global carbon cycle and climate change.However,comprehensive monitoring and assessment of the global lake carbon cycle is still challenging due to the fragmentary distribution and diversity in ecology,type and climatic zone of lake.Remote sensing technology with advantages of large area continuously synchronous observation could conquer the limitations of conventional observation method,supporting the research of global lake carbon cycle with huge of observation data.Meanwhile,the estimation of organic carbon source and composition via the remote sensing technology could be combined with biogeochemical technology for the advantage of spectral detection by remote sensing.In this paper,recent studies about the remote sensing application and research on lake basin and water were reviewed based on the active demand of remote sensing in the lake carbon cycle.The application of remote sensing in a geography of lake carbon cycling was proposed due to the highly variable among lakes within basin characteristics.Much more precision and higher spatial resolution results of land use,vegetation canopy,primary productivity,soil properties,population density and other watershed attribute data from remote sensing should be considered in geography of lake carbon cycling to improve the estimation of carbon input in lake.The remote sensing retrieval of particulate and dissolved organic carbon concentration in the lake water have been widely used,yet the carbon pool estimation is flimsy for the difficulty in the acquirement of carbon vertical distribution.Meanwhile,the sources of organic carbon significantly affect the turnover time of organic carbon,presenting the short turnover time of endogenous organic carbon and relative long turnover time of terrestrial organic carbon.The remote sensing should be cooperatively estimated endogenous and terrestrial organic carbon with isotop

关 键 词：湖泊碳循环 遥感 生物地球化学 大数据与人工智能 水环境 温室气体 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置] X143[自动化与计算机技术—控制科学与工程]