课题基金基金详情
植被叶绿素荧光遥感的时间尺度扩展模型与方法研究
结题报告
批准号:
42001280
项目类别:
青年科学基金项目
资助金额:
24.0 万元
负责人:
胡姣婵
依托单位:
学科分类:
遥感科学
结题年份:
2023
批准年份:
2020
项目状态:
已结题
项目参与者:
胡姣婵
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中文摘要
日光诱导叶绿素荧光(SIF)能够为陆地总初级生产力(GPP)的动态监测提供一种全新且直接的技术手段,是近十年来植被定量遥感领域最具亮点的研究前沿。但现有的SIF遥感产品均是瞬时值,而碳循环研究往往需要监测一段时间的累计GPP,两者时间尺度的不匹配问题限制了SIF遥感在碳循环监测方面的应用潜力。项目将聚焦SIF由瞬时量纲升尺度为连续量纲这一有待解决的科学问题,结合模拟、实测与多源卫星数据,开展SIF的时间尺度扩展模型与方法研究。项目首先定量评价SIF的时序变化规律与关键驱动变量,并进一步构建基于综合驱动变量的冠层SIF时间尺度扩展模型,在此基础上提出卫星SIF产品的时间尺度扩展方法,研制时间尺度连续的全球日、周、月值SIF遥感产品,并利用长时序实测数据评价产品的可靠性与应用优势。研究成果不仅能为SIF的时间尺度扩展提供模型与方法支持,还能为基于SIF的全球碳循环研究提供更为精确可靠的数据集。
英文摘要
Solar-induced chlorophyll fluorescence (SIF) can offer as a new and direct tool for the monitoring of terrestrial gross primary production (GPP), which has become one of the most bright research frontiers in the field of vegetation quantitative remote sensing in the last decade. However, remotely sensed SIF at space level is usually instantaneous, which cannot represent the integrated GPP among a certain period. The temporal mismatch between instantaneous SIF and integrated GPP limits the potential of SIF remote sensing for carbon cycle monitoring. To promote the application potentials of SIF in GPP detection, this project focuses on the temporal upscaling of SIF from instantaneous to integrated dimensions which is still an unsolved scientific issue, and carries out the research of model and method for temporal upscaling of remotely sensed solar-induced Chlorophyll Fluorescence based on simulated, measured, and multi-source satellite data. This project firstly quantitatively assesses the temporal dynamic change pattern of canopy SIF and its key driving variables, and further constructs the temporal upscaling model for canopy SIF based on integrated driving variables. On this basis, this project proposes the temporal upscaling method at global level for satellite SIF, and hereby generates the temporal continuous daily, weekly, and monthly global SIF products, of which the reliability and advantage are evaluated by long-term in situ measurements. The outcomes will provide model and method supports for the temporal upscaling of remotely sensed SIF, as well as more accurate and reliable data source for better application of SIF in the carbon cycle monitoring.
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DOI:10.13634/j.cnki.mes.2022.04.016
发表时间:2022
期刊:海洋环境科学
影响因子:--
作者:胡姣婵;黄梦迪;于浩洋;李清波
通讯作者:李清波
DOI:10.3390/rs14061504
发表时间:2022-03
期刊:Remote. Sens.
影响因子:--
作者:Jiaochan Hu;J. Jia;Yan Ma;Liangyun Liu;Haoyang Yu
通讯作者:Jiaochan Hu;J. Jia;Yan Ma;Liangyun Liu;Haoyang Yu
DOI:10.1109/jstars.2021.3107105
发表时间:2021
期刊:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
影响因子:5.5
作者:Jiaochan Hu;Xueji Shen;Haoyang Yu;Xiaodi Shang;Qiandong Guo;Bing Zhang
通讯作者:Jiaochan Hu;Xueji Shen;Haoyang Yu;Xiaodi Shang;Qiandong Guo;Bing Zhang
DOI:https://doi.org/10.1016/j.infrared.2024.105129
发表时间:2024
期刊:Infrared Physics and Technology
影响因子:--
作者:Jiaochan Hu;Tingting Tao;Jia Jia;Tong Zhao;Qingbo Li;Haoyang Yu
通讯作者:Haoyang Yu
面向GPP精细估算的高时空分辨率SIF卫星数据重建研究
  • 批准号:
    42371353
  • 项目类别:
    面上项目
  • 资助金额:
    50万元
  • 批准年份:
    2023
  • 负责人:
    胡姣婵
  • 依托单位:
国内基金
海外基金