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OverviewA new breed of low Earth orbit satellites is making planetary-scale observation and analysis ubiquitous. This book explores how this condition feeds spatially explicit artificial intelligence, GeoAI, in redefining the study of landscapes, and how it impacts one particular land dispute in the Alas Mertajati in Central Bali, Indonesia. This book combines scholarship from the humanities and engineering to forge a novel way of presenting planetary computing in its GeoAI vernacular. From data collection to model evaluation, the book describes how multi-spectral, high-resolution satellite data and machine learning algorithms respond to uncommon land cover conditions, including sustainable land care practices such as agroforestry while contextualizing the operations within science and media studies. Together with the installation logics-of-geoai.org, this book offers full-spectrum immersion into the unstable nexus of geography and artificial intelligence. This book will be of interest to any experimental artist, social scientist, curious AI engineer, or a free-range scholar. It will likewise appeal to students and scholars of science technology studies, media studies, geography, and ethnography. Full Product DetailsAuthor: Marc BöhlenPublisher: Taylor & Francis Ltd Imprint: Routledge ISBN: 9781032857510ISBN 10: 103285751 Pages: 218 Publication Date: 29 November 2024 Audience: College/higher education , Professional and scholarly , Tertiary & Higher Education , Professional & Vocational Format: Hardback Publisher's Status: Forthcoming Availability: Not yet available ![]() This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release. Table of ContentsIntroduction 1. From Orbit to Earth 2. Open Space 3. The AI of GeoAI < Intermezzo > 4. Planetary Positions 5. GeoAI in the Tropics 6. On Models and Digital Twins 7. Geohumanities 2.0ReviewsAuthor InformationMarc Böhlen / RealTechSupport is an Artist-Engineer, a Professor of Art, and Affiliate Faculty in the Institute for Artificial Intelligence and Data Science at the University at Buffalo. Tab Content 6Author Website:Countries AvailableAll regions |