An International Library for Land Cover Legends: The Land Cover Legend Registry

Fatima Mushtaq, Matieu Henry, C. Douglas O’Brien, Antonio Di Gregorio, Rashed Jalal, John Latham, Douglas Muchoney, Chris T. Hill, Nicola Mosca, Michael Golmame Tefera, Karl Morteo, Gianluca Franceschini, Amit Ghosh, Elisee Tchana and Zhongxin Chen
Additional contact information
Fatima Mushtaq: Food and Agriculture Organization of the United Nations, 00153 Rome, Italy
Matieu Henry: Food and Agriculture Organization of the United Nations, 00153 Rome, Italy
C. Douglas O’Brien: IDON Technologies Inc., 1430 Prince of Wales Dr #38036, Ottawa, ON K2C 3Y7, Canada
Antonio Di Gregorio: Food and Agriculture Organization of the United Nations, 00153 Rome, Italy
Rashed Jalal: Food and Agriculture Organization of the United Nations, 00153 Rome, Italy
John Latham: British Standards Institution, London W4 4AL, UK
Douglas Muchoney: Food and Agriculture Organization of the United Nations, 00153 Rome, Italy
Chris T. Hill: GeoData Institute, University of Southampton, Southampton SO17 1BJ, UK
Nicola Mosca: Institute of Industrial Technologies and Automation (STIIMA), Italian, National Research Council, 00185 Rome, Italy
Michael Golmame Tefera: Food and Agriculture Organization of the United Nations, 00153 Rome, Italy
Karl Morteo: Food and Agriculture Organization of the United Nations, 00153 Rome, Italy
Gianluca Franceschini: Food and Agriculture Organization of the United Nations, 00153 Rome, Italy
Amit Ghosh: Food and Agriculture Organization of the United Nations, 00153 Rome, Italy
Elisee Tchana: Food and Agriculture Organization of the United Nations, 00153 Rome, Italy
Zhongxin Chen: Food and Agriculture Organization of the United Nations, 00153 Rome, Italy

Land, 2022, vol. 11, issue 7, 1-10

Abstract: Information on land cover is vital to numerous United Nations (UN) missions, including achieving the Sustainable Development Goals (SDGs). Because land cover data are developed by a variety of organizations for a range of objectives, they are based on different classification schemes and have discrepancies. In addition, the sustainability for land cover is hampered by limited access to information and documentation. Accordingly, international standards for land cover are developed to improve interoperability between different land cover datasets. However, the use and development of land cover datasets are limited by various factors including availability of properly documented land cover legends in support of different applications including change assessment, comparison, and international reporting. The purpose of this article is to highlight the importance of land cover in achieving several goals and to introduce the first international platform for land cover legend, named Land Cover Legend Registry (LCLR). This registry is a contribution to the international land cover community and the UN in effort to promote and support data harmonization processes and interoperability from local to global level, and vice versa. Users can not only use the registry for preparing consistent datasets, but also contribute to it by providing the latest data to ensure the long-term availability of both updated and existing datasets around the world. Moreover, building on the experience developing land cover legends with different nations, a brief explanation on the preparation of legends is also provided. Additionally, it is more important than ever to develop land cover registers to support the use, expansion, integration, and use uptake of land cover data, particularly for innovative remote sensing, machine learning, and information and communication technologies and techniques that build on existing and national contexts.

Keywords: interoperability; standards; geospatial; semantic ontology; harmonization; classification (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2073-445X/11/7/1083/pdf (application/pdf)
https://www.mdpi.com/2073-445X/11/7/1083/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jlands:v:11:y:2022:i:7:p:1083-:d:863025

Access Statistics for this article

Land is currently edited by Ms. Carol Ma

More articles in Land from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().