Land Use and Land Cover Semantics
Principles, Best Practices, and Prospects
Herausgeber: Ahlqvist, Ola; Janowicz, Krzysztof; Fritz, Steffen; Varanka, Dalia
Land Use and Land Cover Semantics
Principles, Best Practices, and Prospects
Herausgeber: Ahlqvist, Ola; Janowicz, Krzysztof; Fritz, Steffen; Varanka, Dalia
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As more land cover datasets have been developed, the need to harmonize classification systems for landscape analysis is a frequently proposed solution. This book provides a platform for scholars to reassess the field, affirm successful approaches, and point to future possibilities in advancing LULC semantics. With analysis of land use/land cover semantics and explanations of current best practices, the book reviews aspects of data modeling where designers and practitioners should be aware of providing clear and consistent semantic details.
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- Produktdetails
- Verlag: CRC Press
- Seitenzahl: 360
- Erscheinungstermin: 21. August 2015
- Englisch
- Abmessung: 234mm x 157mm x 23mm
- Gewicht: 658g
- ISBN-13: 9781482237399
- ISBN-10: 1482237393
- Artikelnr.: 42469261
- Verlag: CRC Press
- Seitenzahl: 360
- Erscheinungstermin: 21. August 2015
- Englisch
- Abmessung: 234mm x 157mm x 23mm
- Gewicht: 658g
- ISBN-13: 9781482237399
- ISBN-10: 1482237393
- Artikelnr.: 42469261
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.
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.