地球科学进展

地球科学进展 ›› 2021, Vol. 36 ›› Issue (1): 9 -16. doi: 10.11867/j.issn.1001-8166.2021.006

综述与评述 上一篇    下一篇

植被物候的遥感提取及其影响因素研究进展
崔林丽 1( ), 史军 1 , 2, 杜华强 3   
  1. 1.上海市生态气象和卫星遥感中心，上海 200030
    2.上海城市气候变化应对重点开放实验室，上海 200030
    3.浙江农林大学环境与资源学院，浙江 临安 311300
  • 收稿日期:2020-10-28 修回日期:2020-12-22 出版日期:2021-03-19
  • 基金资助:
    浙江农林大学省部共建亚热带森林培育国家重点实验室开放基金项目“亚热带森林碳循环的时空格局及其对极端气候的响应研究”(KF2017-5);上海市科技计划项目“基于遥感的生态环境监测预警研究——以长三角一体化示范区为例”(20232410100)

Advances in Remote Sensing Extraction of Vegetation Phenology and Its Driving Factors

Linli CUI 1( ), Jun SHI 1 , 2, Huaqiang DU 3   

  1. 1.Shanghai Ecological Forecasting and Remote Sensing Center，Shanghai 200030，China
    2.Key Laboratory of Cities Mitigation and Adaptation to Climate Change in Shanghai （CMACC），Shanghai 200030，China
    3.College of Environmental and Resource Sciences，Zhejiang A&F University，Lin'an Zhejiang 311300，China
  • Received:2020-10-28 Revised:2020-12-22 Online:2021-03-19 Published:2021-03-19
  • About author:CUI Linli (1975-), female, Changzhi City, Shanxi Province, Professor. Research areas include remote sensing of vegetation and the atmosphere. E-mail: cllcontact@163.com
  • Supported by:
    the Open Research Fund Program of the State Key Laboratory of Subtropical Silviculture of Zhejiang A & F University "Spatiotemporal patterns of carbon cycle and their response on the extreme climate in subtropical forests"(KF2017-5);The Science and Technology Planning Project of Shanghai Municipality "Research on ecological environment monitoring and early warning based on remote sensing—Taking Yangtze River Delta integration demonstration zone as an example"(20232410100)
全文 ( 67 ) 下载PDF ( 1299 )

植被物候是反映植被动态的重要指标和气候变化对生态系统影响的重要感应器，它影响着地表反照率、粗糙度、蒸发散、CO2通量以及人类生产活动。首先论述了基于遥感的植被物候提取方法和植被物候变化的影响因素两方面的研究进展，然后指出气候变化背景下植物物候研究存在的突出问题，包括遥感难以直接获取常绿植被叶片和冠层结构物候、尺度效应阻碍遥感产品与地面观测的匹配、气候要素（降水和日间、夜间温度等）和城市化对物候的影响及协同作用机制不清楚、缺少针对植被类型的物候产品和模型以及未将物候间滞后效应纳入考虑等。开展常绿植被物候指标的遥感提取方法及算法研制，探索气候变化、极端天气气候对物候的影响机制及未来预估，分析城市化、植被类型对物候的影响以及与气候变化的协同效应，建立综合考虑降水、滞后效应和尺度效应的群落尺度物候模型，是未来工作关注的重点。

关键词: 植被物候, 遥感提取, 影响因素, 气候变化, 城市化

Phenology is considered as an important indicator for understanding the vegetation dynamics and the impact of climate change on ecosystem. It has significant influences on surface albedo， roughness， evapotranspiration， CO2 flux， and human activities. This study presents the progress on the phenology extraction methods based on satellite， and the driving factors of vegetation phenology dynamics. The key weaknesses in our current understanding of vegetation phenology in the context of climate change are also raised， including the difficulty in estimating the phenology of evergreen vegetation based on remote sensing directly from the perspective of leaf and canopy structure， the low comparability between satellite products and ground-based measurements due to the scale effect， the unclear synergistic mechanisms between climate factors （rainfall and day/night temperature） and urbanization， the lack of phenological products and models for specific vegetation types， as well as the inconsideration of lag effect of phenology. So， it is important to focus on the following four aspects in future research： ① the development of satellite phenology extraction methods for evergreen vegetation； ② the research on the mechanisms and forecast of climate change and extreme weather on phenology； ③ the study of the impact of urbanization and vegetation types on phenology， together with their synergistic effects； ④ the establishment of phenological model at community scale which considers precipitation， lag effect and scale effect.

Key words: Vegetation phenology, Remote sensing extraction, Influencing factors, Climate change, Urbanization.

中图分类号: 

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