Delivery: Can be download immediately after purchasing. For new customer, we need process for verification from 30 mins to 12 hours.
Version: PDF/EPUB. If you need EPUB and MOBI Version, please contact us.
Compatible Devices: Can be read on any devices.
Explore 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 for data reuse; ontology logic restrictions; reasoning from text sources; and explicit semantic specifications, ontologies, vocabularies, and design patterns. It also includes use cases from applicable semantics in searches, LULC classification, spatial analysis and visualization, issues of Big Data, knowledge infrastructures and their organization, and integration of bottom-up and top-down approaches to collaboration frameworks and interdisciplinary challenges such as EarthCube. This book: Centers on the link between planning goals, objectives, and policy and land use classification systems Uses examples of maps and databases to draw attention to the problems of semantic integration of land use/cover data Discusses the principles used in a categorization Explores the origins and impacts of semantic variation using the example of land cover Examines how crowd science and human perceptions can be used to improve the quality of land cover datasets, and more Land Use and Land Cover Semantics: Principles, Best Practices, and Prospects offers an up-to-date account of land use/land cover semantics, looks into aspects of semantic data modeling, and discusses current approaches, ongoing developments, and future trends. The book provides guidance to anyone working with land use or land cover data, looking to harmonize categories, repurpose data, or otherwise develop or use LULC datasets.
This is a digital product.
Land Use and Land Cover Semantics: Principles, Best Practices, and Prospects 1st Edition and published by CRC Press. The Digital and eTextbook ISBNs for Land Use and Land Cover Semantics are 9781351231046, 1351231049 and the print ISBNs are 9781138747999, 1138747998. Additional ISBNs for this eTextbook include 9781351228596, 9781351229845, 9781482237405, 9781482237399.

Modern Fisheries Engineering: Realizing a Healthy and Sustainable Marine Ecosystem eBook
Accounting Principles eBook
STAT2: Modeling with Regression and ANOVA eBook
Discipline Over Punishment eBook
Fish Physiology: Homeostasis and Toxicology of Non-Essential Metals: Homeostasis and Toxicology of Non-Essential Metals eBook
Essential Elements for Assessing Infants and Preschoolers with Special Needs eBook
Attached eBook
Building Services, Technology and Design eBook
Medications and Mothers' Milk 2017 eBook
The River Ganga: The Life Line of India eBook
Taking Charge of Your Fertility eBook
101 Case Studies in Construction Management eBook
Cengage Advantage Books: The American Pageant, Volume 2: Since 1865 eBook
The Art of Writing About Art eBook
Financial Accounting eBook
Learning to Die in the Anthropocene eBook
The Intuitive Eating Workbook eBook
EMT (Emergency Medical Technician) Crash Course Book + Online eBook
The Unwinding of the Miracle eBook
Grounding for the Metaphysics of Morals eBook
Aquaculture: Farming Aquatic Animals and Plants Farming Aquatic Animals and Plants eBook 


Reviews
There are no reviews yet.