WMO: an ontology for the semantic enrichment of wetland monitoring data-Reference-Cited by-同舟云学术

WMO: an ontology for the semantic enrichment of wetland monitoring data

Published:2023-06-07 Issue:1 Volume:16 Page:2189-2211
ISSN:1753-8947
Container-title:International Journal of Digital Earth
language:en
Short-container-title:International Journal of Digital Earth

Author:

Xiao Xin¹,Lin Hui¹,Fang Chaoyang¹

Affiliation:

1. School of Geography and Environment & Key Laboratory of Poyang Lake Wetland and Watershed Research, Ministry of Education, Jiangxi Normal University, Nanchang, People’s Republic of China

Funder

National Natural Science Foundation of China

Graduate Innovation Fund Project of the Education Department of Jiangxi Province

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,Computer Science Applications,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/17538947.2023.2220620

Reference62 articles.

1. Advances in Geographic Object-Based Image Analysis with ontologies: A review of main contributions and limitations from a remote sensing perspective

2. Introducing the Open Energy Ontology: Enhancing data interpretation and interfacing in energy systems analysis

3. DOLCE: A descriptive ontology for linguistic and cognitive engineering1

4. Geographic ontology for major disasters: Methodology and implementation

5. Dynamic World, Near real-time global 10 m land use land cover mapping

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