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Da: Majestic Books, Hounslow, Regno Unito
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Da: Biblios, Frankfurt am main, HESSE, Germania
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Editore: GlobeEdit, 2026
ISBN 10: 6209485081 ISBN 13: 9786209485084
Da: preigu, Osnabrück, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Geo-Intelligence and Machine Learning | Advanced Tools for Earth System | Kamal El Fallah | Taschenbuch | Englisch | 2026 | GlobeEdit | EAN 9786209485084 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Aggiungi al carrelloPAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 57,44
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The Northern Bald Ibis (Geronticus eremita), Critically Endangered, survives only in a narrow coastal zone of southwestern Morocco, making it highly vulnerable to habitat loss, degradation, and climate change. Identifying key environmental drivers and suitable habitats is therefore urgent. This study applied an integrated Geo-AI framework combining geomatics, multi-source remote sensing via Google Earth Engine, the Maximum Entropy algorithm, and 1,085 field-based occurrence records. From 35 initial environmental variables, six were retained after multicollinearity analysis and ecological validation: summer land surface temperature, maximum and minimum air temperatures, precipitation of the wettest month, altitude, and winter vegetation cover. Model performance was excellent (AUC = 0.973 ± 0.029; TSS > 0.85). Summer land surface temperature was the most influential variable, with a sum of permutation contribution of predictors index (SPCPI = 74.8), followed by altitude (38.4) and the minimum temperature of the coldest month (35.0), highlighting thermal constraints. Response curves indicated a preference for warm, dry conditions, moderate vegetation, mild winters, and elevations below 1,200 m. High-suitability areas (probability > 0.6) are concentrated in Souss-Massa and Marrakech-Safi, overlapping current and historical colonies, including those in Fes-Meknes, while moderate-suitability corridors suggest dispersal pathways. Future high-emission scenarios indicate increasing habitat fragmentation, underscoring species vulnerability. These results provide guidance for conservation planning, emphasizing coastal habitat protection, ecological corridor maintenance, and sustainable management of semi-arid and mid-altitude areas. This study highlights the value of integrating remote sensing, machine learning, and ecological knowledge to support evidence-based conservation of this emblematic species.
Da: preigu, Osnabrück, Germania
EUR 49,45
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Geo-AI for Biodiversity Conservation | The Northern Bald Ibis Case Study | Kamal El Fallah | Taschenbuch | Englisch | 2026 | Eliva Press | EAN 9789999339384 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Editore: Globeedit Mär 2026, 2026
ISBN 10: 6209485081 ISBN 13: 9786209485084
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 43,90
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 84 pp. Englisch.
Editore: Globeedit Mär 2026, 2026
ISBN 10: 6209485081 ISBN 13: 9786209485084
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 43,90
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book explores the integration of Artificial Intelligence (Geo-AI) with Earth observation, demonstrating how Machine Learning and Deep Learning transform satellite imagery and geospatial data into actionable environmental insights. It covers theoretical foundations, data preprocessing, spatial modeling, and validation, and presents a case study in the Fes-Meknes region, highlighting applications in land-use and land-cover change mapping and ecological risk assessment. The work positions Geo-AI as a key tool for sustainable land management amid climate change and human pressures.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 84 pp. Englisch.
Editore: Globeedit
ISBN 10: 6209485081 ISBN 13: 9786209485084
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 44,59
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering.