Large-scale extraction of check dams and silted fields on the Chinese loess plateau using ensemble learning models

Li, Yunfei; Zhao, Jianlin; Yuan, Ke; Taye, Gebeyehu; Li, Long

doi:10.1016/j.iswcr.2023.09.005

International Soil and Water Conservation Research

2024

DOI: 10.1016/j.iswcr.2023.09.005

|View full text |Cite

Large-scale extraction of check dams and silted fields on the Chinese loess plateau using ensemble learning models

Yunfei Li,

Jianlin Zhao,

Ke Yuan

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 91 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Vectorized dataset of silted land formed by check dams on the Chinese Loess Plateau

Zeng,

Jing,

et al. 2024

Sci Data

View full text Add to dashboard Cite

Check dams on the Chinese Loess Plateau (CLP) have captured billions of tons of eroded sediment, substantially reducing sediment load in the Yellow River. However, uncertainties persist regarding the precise sediment capture and the role of these dams in Yellow River flow and sediment dynamics due to the lack of available spatial distribution datasets. We produced the first vectorized dataset of silted land formed by check dams on the CLP, combining high-resolution and easily accessible Google Earth images with object-based classification methods. The accuracy of the dataset was verified by 1947 collected test samples, and the producer’s accuracy and user’s accuracy of the dam lands were 88.9% and 99.5%, respectively. Our dataset not only provides fundamental information for accurately assessing the ecosystem service functions of check dams, but also helps to interpret current changes in sediment delivery of the Yellow River and plan future soil and water conservation projects.

show abstract

Vectorized dataset of silted land formed by check dams on the Chinese Loess Plateau

Zeng,

Jing,

et al. 2024

Sci Data

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Large-scale extraction of check dams and silted fields on the Chinese loess plateau using ensemble learning models

Cited by 1 publication

References 91 publications

Vectorized dataset of silted land formed by check dams on the Chinese Loess Plateau

Vectorized dataset of silted land formed by check dams on the Chinese Loess Plateau

Contact Info

Product

Resources

About