植被物候遥感监测关键问题  

Key issues of remote sensing-based vegetation phenology monitoring

作　　者：谢志英 朱文泉 付永硕 XIE Zhiying;ZHU Wenquan;FU Yongshuo(College of Water Sciences,Beijing Normal University,Beijing 100875,China;State Key Laboratory of Remote Sensing Science,Faculty of Geographical Science,Beijing Normal University,Beijing 100875,China)

机构地区：[1]北京师范大学水科学研究院,北京100875 [2]北京师范大学地理科学学部,遥感科学国家重点实验室,北京100875

出　　处：《遥感学报》2024年第9期2131-2143,共13页NATIONAL REMOTE SENSING BULLETIN

基　　金：国家重点研发计划(编号:2020YFA0608504);国家自然科学基金杰出青年科学基金(编号:42025101)。

摘　　要：植被物候是陆地生态系统响应全球气候变化最灵敏的生物学指示指标,也是影响陆地生态系统碳循环的重要因子。因此,植被物候的准确监测对模拟陆地生态系统碳循环以及理解陆地生态系统响应气候变化至关重要。物候学发展至今,已有包括人工观测、物候相机观测和通量监测在内的地面观测以及遥感监测等多种植被物候监测手段,并已形成卫星遥感监测为主要手段、地面观测为验证的区域和全球尺度植被物候监测体系。植被物候遥感监测通用技术流程中的每个处理环节都会造成物候监测的不确定性。本文重点梳理了遥感时序数据、物候指标提取和遥感物候真实性检验3个物候监测关键环节,深入探讨了地表背景对遥感指数的干扰、不同物候指标提取方法的差异以及物候验证中遥感物候指标与参考物候指标之间的匹配问题。最后,探讨了解决这些关键问题的两个重要发展方向:(1)发展抗地表背景干扰的植被物候遥感监测方法;(2)构建结合地面多传感器协同观测和“天—空—地”多尺度一体化观测的联合观测网络。Vegetation phenology is one of the most sensitive biological indicators of terrestrial ecosystem responses to global climate change and plays a crucial role in terrestrial ecological processes and functions.Changes in vegetation phenology have been strongly linked to climate change patterns and various ecological processes within terrestrial ecosystems,and may significantly impact land-atmosphere exchanges of carbon,water,and energy fluxes,and interactions between different species.Therefore,accurate monitoring of vegetation phenology is essential for simulating terrestrial ecological processes and understanding how terrestrial ecosystems respond to climate change.To date,various observation and monitoring methods for vegetation phenology have been developed,including ground-based observations(such as manual observation,phenocam observation/monitoring,and carbon flux-based monitoring) and remote sensing-based monitoring.Benefiting from the reliability of ground-based phenology observations and the spatial coverage and rapid repeatability of remotely sensed monitoring,a regional and global-scale vegetation phenology monitoring framework has been established,with satellite remote sensing as the primary method and ground observations for validation.A general technical workflow for remote sensing-based vegetation phenology monitoring has been formed,including remote sensing data acquisition,time series data construction(e.g.,calculation of vegetation parameters such as various vegetation indices,leaf area index,fraction of absorbed photosynthetically active radiation,and gross primary production,etc.),time series data reconstruction(e.g.,filtering,smoothing,and fitting),phenological metrics(phenometrics,e.g.,start,peak,end,and length of the growing season) extraction,and phenometrics validation.However,each processing step in this workflow introduces uncertainty into the monitored phenometrics.This study focuses on three key aspects of remote sensing-based phenology monitoring:(1) remote sensing time series data(espe

关 键 词：遥感 植被物候 遥感时序数据 植被指数 验证 尺度效应 

分 类 号：TP701[自动化与计算机技术—检测技术与自动化装置] P2[自动化与计算机技术—控制科学与工程]