干旱区生态环境知识资源中心(Arid): GGW-BDF: an online tool for using earth observation and Chinese ecosystem restoration experiences in support of the Great Green Wall initiative

Arid

DOI	10.1080/17538947.2024.2364683
	GGW-BDF: an online tool for using earth observation and Chinese ecosystem restoration experiences in support of the Great Green Wall initiative
	Li, Xiaosong; Shen, Tong; Kabo-Bah, Amos Tiereyangn; Liu, Jie; Li, Jianhui; Dou, Changyong; Piao, Yingchao; Jia, Xiaoxia; Lu, Qi; Wu, Huailin; Yang, Ziyu; Zhi, Yubo; Zhao, Licheng
通讯作者	Shen, T
来源期刊	INTERNATIONAL JOURNAL OF DIGITAL EARTH
ISSN	1753-8947
EISSN	1753-8955
出版年	2024
卷号	17 期号:1
英文摘要	The United Nations Sustainable Development Goals (SDGs) establish a fresh global framework for evaluating the development agenda, emphasizing prosperity, growth, inclusivity, and transparency while safeguarding our planet Earth. Land Degradation Neutrality (LDN) represents a clear target for assessing the achievement of SDG 15.3. In response to the shortcomings of the African Great Green Wall initiative with respect to LDN monitoring, reporting, and intervention, we developed an online tool, the Great Green Wall Big Data Facilitator (GGW-BDF), based on earth observation data (e.g. SDGSAT-1), cutting-edge big data analysis technologies, and Chinese experience in combating desertification, to support the implementation of the African Great Green Wall initiative. The GGW-BDF comprises an LDN data portal, desertification control knowledge, and e-learning resources. This study highlights the functionality of this tool to support stakeholders across countries in monitoring LDN while providing the successful technoloiges to restore degraded or barren land. The contributions of the GGW-BDF are very useful in supporting the Pan-African Agency of the Great Green Wall (PAGGW), and will hopefully be continuously upgraded for being a part of the federated toolbox of the Group on Earth Observation (GEO) LDN Flagship.
英文关键词	Sustainable Development Goals land degradation neutrality Great Green Wall GGW-BDF SDGSAT-1
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:001261307100001
WOS关键词	FINE CLASSIFICATION-SYSTEM ; SERIES LANDSAT IMAGERY ; DEGRADATION ; PRODUCT
WOS类目	Geography, Physical ; Remote Sensing
WOS研究方向	Physical Geography ; Remote Sensing
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/404224
推荐引用方式 GB/T 7714	Li, Xiaosong,Shen, Tong,Kabo-Bah, Amos Tiereyangn,et al. GGW-BDF: an online tool for using earth observation and Chinese ecosystem restoration experiences in support of the Great Green Wall initiative[J],2024,17(1).
APA	Li, Xiaosong.,Shen, Tong.,Kabo-Bah, Amos Tiereyangn.,Liu, Jie.,Li, Jianhui.,...&Zhao, Licheng.(2024).GGW-BDF: an online tool for using earth observation and Chinese ecosystem restoration experiences in support of the Great Green Wall initiative.INTERNATIONAL JOURNAL OF DIGITAL EARTH,17(1).
MLA	Li, Xiaosong,et al."GGW-BDF: an online tool for using earth observation and Chinese ecosystem restoration experiences in support of the Great Green Wall initiative".INTERNATIONAL JOURNAL OF DIGITAL EARTH 17.1(2024).