Kamal fallah (12 Ergebnisse)

Zustand: New.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Zustand: Brand New. 69 pages. 6.00x0.16x9.00 inches. In Stock.

Zustand: New.

Taschenbuch. Zustand: 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: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. …

Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 84 pp. Englisch.

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.…

Taschenbuch. Zustand: 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. …

Paperback. Zustand: new. Paperback. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Taschenbuch. Zustand: 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.…

Taschenbuch. Zustand: 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. …