Climate Change Data Portal
DOI | 10.1080/01431161.2018.1533661 |
Analysis of remote sensing time-series data to foster ecosystem sustainability: use of temporal information entropy | |
Wang, Chaojun1,2; Zhao, Hongrui1 | |
发表日期 | 2019 |
ISSN | 0143-1161 |
EISSN | 1366-5901 |
卷号 | 40期号:8页码:2880-2894 |
英文摘要 | Remotely sensed time-series data have provided valuable information and sound foundations for ecological sustainability studies. Ecosystem sustainability has been viewed as a dynamic process that requires an ecosystem to deal with climate change and anthropogenic disturbances. Following this school of thought, ecosystem sustainability can be portrayed in terms of order and disorder using spatio-temporal analysis of entropy-related indices of Normalized Difference Vegetation Index (NDVI) time-series. Information theory and entropy-related measures have provided insights for complex systems analysis and have high relevance in ecology; however, less attention has been focused on temporal evolution and dynamics. The overall aim of this study is to propose an index called 'temporal information entropy' (H-t), and it is an entropy-related index able to describe the degree of order and regularity within a time-series of observations. We then assess H-t's ability to measure the ecosystem sustainability of Yanhe watershed based on MODIS (Moderate Resolution Imaging Spectroradiometer) NDVI time-series. Our results indicate that temporal information entropy of ecological time-series data may be used as a natural indicator with respect to sustainability, and in some degree, it helps us to get a better understanding of ecosystem dynamics from a physical-based standpoint. |
WOS研究方向 | Remote Sensing ; Imaging Science & Photographic Technology |
来源期刊 | INTERNATIONAL JOURNAL OF REMOTE SENSING
![]() |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/96590 |
作者单位 | 1.Tsinghua Univ, 3S Ctr, Beijing, Peoples R China; 2.Tsinghua Univ, Dept Civil Engn, Inst Geomat, Beijing, Peoples R China |
推荐引用方式 GB/T 7714 | Wang, Chaojun,Zhao, Hongrui. Analysis of remote sensing time-series data to foster ecosystem sustainability: use of temporal information entropy[J],2019,40(8):2880-2894. |
APA | Wang, Chaojun,&Zhao, Hongrui.(2019).Analysis of remote sensing time-series data to foster ecosystem sustainability: use of temporal information entropy.INTERNATIONAL JOURNAL OF REMOTE SENSING,40(8),2880-2894. |
MLA | Wang, Chaojun,et al."Analysis of remote sensing time-series data to foster ecosystem sustainability: use of temporal information entropy".INTERNATIONAL JOURNAL OF REMOTE SENSING 40.8(2019):2880-2894. |
条目包含的文件 | 条目无相关文件。 |
个性服务 |
推荐该条目 |
保存到收藏夹 |
导出为Endnote文件 |
谷歌学术 |
谷歌学术中相似的文章 |
[Wang, Chaojun]的文章 |
[Zhao, Hongrui]的文章 |
百度学术 |
百度学术中相似的文章 |
[Wang, Chaojun]的文章 |
[Zhao, Hongrui]的文章 |
必应学术 |
必应学术中相似的文章 |
[Wang, Chaojun]的文章 |
[Zhao, Hongrui]的文章 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。