Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
AI and Remote Sensing for Monitoring, Prediction, and Mitigation of Urban Climate Risks

AI and Remote Sensing for Monitoring, Prediction, and Mitigation of Urban Climate Risks

Tariq, Aqil
Lu, Linlin
Li, Qingting

Paperback

ApplicationsEnvironmental Studies

PREORDER - Expected ship date April 1, 2027

ISBN10: 0443452407
ISBN13: 9780443452406
Publisher: Elsevier
Published: Apr 1 2027
Pages: 350
Language: English
AI and Remote Sensing for Monitoring, Prediction, and Mitigation of Urban Climate Risks provides a comprehensive exploration of the urban heat island (UHI) phenomenon, and the innovative technologies employed to address its challenges.

The book begins by outlining the UHI crisis, highlighting the detrimental effects of urbanization on local climates, particularly the increased temperatures in urban environments. It emphasizes the role of remote sensing technologies and diverse data sources in analyzing UHIs, laying the groundwork for advanced research. The text then looks into AI-driven methodologies, showcasing how machine learning and deep learning techniques can enhance urban land classification, estimate urban 3D morphology, and retrieve land surface temperatures. Additionally, it discusses the application of deep learning for predicting UHIs and identifying the driving factors behind their formation, providing valuable insights into urban climate dynamics. In its final sections, the book addresses practical applications of these technologies, including the detection and assessment of heatwave events and urban heat health risk evaluations. It also emphasizes the importance of urban green infrastructure as a mitigation strategy and discusses the transition from data analysis to policy formulation. This essential resource illustrates how AI and remote sensing can be harnessed to monitor, predict, and mitigate urban climate risks effectively, fostering more resilient and sustainable cities.

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