globalchange  > 气候变化与战略
CSCD记录号: CSCD:5779830
论文题名:
植被物候观测与指标提取方法研究进展
其他题名: Review on Vegetation Phenology Observation and Phenological Index Extraction
作者: 曹沛雨1; 张雷明1; 李胜功1; 张军辉2
刊名: 地球科学进展
ISSN: 1001-8166
出版年: 2016
卷: 31, 期:4, 页码:2018-2032
语种: 中文
中文关键词: 植被物候 ; 植被指数 ; 通量观测 ; 物候指标 ; 生态系统
英文关键词: Vegetation phenology ; Vegetation index ; Flux observation ; Phenological index ; Ecosystem
WOS学科分类: GEOSCIENCES MULTIDISCIPLINARY
WOS研究方向: Geology
中文摘要: 植被物候直接反映了植被生理生态过程对环境变化的响应,在气候变化研究中受到了越来越多的关注,并形成了不同的物候观测技术和指标提取方法。基于文献调研,首先分类评述了当前常用的植被物候观测技术,其次系统介绍了基于不同类型观测数据的植被物候指标提取方法,最后基于实测数据综合比较了多源数据和多种提取方法获取的植被物候指标之间的差异。分析表明,不同植被物候观测技术具有各自适宜的时间和空间尺度,而各种方法的相互补充将有助于完善植被物候观测体系;同时,利用不同观测技术和提取方法所获取的植被物候指标之间存在明显差异,尤其是对于植被秋季物候指标。因此,合理评估多源数据和多种方法间植被物候的差异,并建立可相互比较与转换的处理方法体系,对于改进和完善植被物候观测具有重要的意义。
英文摘要: Vegetation phenology directly reflects the response of ecosystem physiological and ecological processes to environmental changes and has received increasing attention in climate change,which leads to the development of various phenology monitoring techniques and methods of extracting the phenological index. Based on relevant literatures,the monitoring techniques of vegetation phenology were reviewed. Second,the methods of extracting phenological index using different techniques were introduced systematically. Thirdly,the differences from multi-source data and from multi-methods were evaluated based on ground phenology record,flux observation and vegetation index. Although various methods have been adopted in current vegetation phenological studies,it should be aware of their appropriately spatiotemporal scales for different methods,and the mutual complementation will help to improve the system for phenology monitoring. Meanwhile,the comparison indicated the obvious differences in derived vegetation phenological index using various observation techniques and extraction methods,especially for the autumn vegetation phenological index. Such results highlight the importance to assess reasonably these differences from multi-source data and from multi-methods,and to establish a rational processing system for the mutual comparison and conversion from different methods.
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/150664
Appears in Collections:气候变化与战略

Files in This Item:

There are no files associated with this item.


作者单位: 1.中国科学院地理科学与资源研究所, 中国科学院生态系统网络观测与模拟重点实验室, 北京 100101, 中国
2.中国科学院沈阳应用生态研究所, 沈阳, 辽宁 110016, 中国

Recommended Citation:
曹沛雨,张雷明,李胜功,等. 植被物候观测与指标提取方法研究进展[J]. 地球科学进展,2016-01-01,31(4):2018-2032
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[曹沛雨]'s Articles
[张雷明]'s Articles
[李胜功]'s Articles
百度学术
Similar articles in Baidu Scholar
[曹沛雨]'s Articles
[张雷明]'s Articles
[李胜功]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[曹沛雨]‘s Articles
[张雷明]‘s Articles
[李胜功]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.