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Land Characterization System Software: Implementing Land Cover Ontology

Author

Listed:
  • Nicola Mosca

    (Institute of Industrial Technologies and Automation (STIIMA), Italian National Research Council, 70126 Bari, Italy)

  • Fatima Mushtaq

    (Food and Agriculture Organization of the United Nations, 00153 Rome, Italy)

  • Victor Munene

    (Food and Agriculture Organization of the United Nations, 00153 Rome, Italy)

  • Peter Maleh

    (Food and Agriculture Organization of the United Nations, 00153 Rome, Italy)

  • Ndyebo Mnyanda

    (Food and Agriculture Organization of the United Nations, 00153 Rome, Italy)

  • Rashed Jalal

    (Food and Agriculture Organization of the United Nations, 00153 Rome, Italy)

  • Amit Ghosh

    (Food and Agriculture Organization of the United Nations, 00153 Rome, Italy)

Abstract

Land cover (LC) plays a crucial role in the monitoring and planning of the environment among various domains, such as climate change, the management of natural resources, and sustainable development. However, inconsistent LC legends hamper their usability, particularly as technologies, like remote sensing, rapidly improve data quality and quantity for extracting valuable information. Ontologies play a pivotal role in improving the standardization and harmonization of different LC taxonomies, enabling both a reduction in inconsistencies and a way to harness ever-increasing computing power to help scientists provide faster and better answers. However, using ontologies without suitable tools, especially when expressive power is matched with complexity, can prove a daunting task. This paper introduces the land characterization system (LCHS), an innovative tool built to support the ontology discussed in the ISO 19144-2 standard, known as Land Cover Meta Language (LCML). The LCHS can help streamline and speed up the creation and editing of LC legends using a data-driven design approach.

Suggested Citation

  • Nicola Mosca & Fatima Mushtaq & Victor Munene & Peter Maleh & Ndyebo Mnyanda & Rashed Jalal & Amit Ghosh, 2024. "Land Characterization System Software: Implementing Land Cover Ontology," Land, MDPI, vol. 13(5), pages 1-15, May.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:5:p:617-:d:1388120
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