Description
Book SynopsisExplore the Important Role that the Semantics of Land Use and Land Cover Plays within a Broader Environmental Context
Focused on the information semantics of land use and land cover (LULC) and providing a platform for reassessing this field, Land Use and Land Cover Semantics: Principles, Best Practices, and Prospects presents a comprehensive overview of fundamental theories and best practices for applying semantics in LULC. Developed by a team of experts bridging relevant areas related to the subject (LULC studies, ontology, semantic uncertainty, information science, and earth observation), this book encourages effective and critical uses of LULC data and considers practical contexts where LULC semantics can play a vital role.
The book includes work on conceptual and technological semantic practices, including but not limited to categorization; the definition of criteria for sets and their members; metadata; documentation fo
Trade Review
"The book is a collection of articles written by well-known scientists in Spatial Information Science. The book editors and reviewers led by Dr. Ahlqvist – recognized specialist in the land use and land cover data treatment, provide careful selection and high quality of published material. I find this book to be a timely and helpful resource that gathers many different strands of quality research on increasingly pressing issues around the integrated use of land use and land cover data."
—Sergei Levashkin, Visual Intelligence LP, Houston, Texas, USA
Table of ContentsLand Use/Land Cover Classification Systems and Their Relationship to Land Planning. Ontology for National Land Use/Land Cover Map: Poland Case Study. The Need for Awareness of Semantic Plasticity in International Harmonization of Geographical Information: Seen from a Nordic Forest Classification Perspective. Parameterized Approaches to the Categorization of Land Use and Land Cover. Eliciting and Formalizing the Intricate Semantics of Land Use and Land Cover Class Definitions. The EAGLE Concept: A Paradigm Shift in Land Monitoring. An Applied Ontology for Semantics Associated with Surface Water Features. Land Type Categories as a Complement to Land Use and Land Cover Attributes in Landscape Mapping and Monitoring. Text Mining Analysis of Land Cover Semantic Overlap . LC: A Spatial-temporal Data Model to Study Qualified Land Cover Changes. Applying Tegon, the Elementary Physical Land Cover Feature, for Data Interoperability. Resolving Semantic Heterogeneities in Land Use and Land Cover. Crowdsourcing Landscape Perceptions to Validate Land Cover Classifications.
