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Uzair Aslam Bhatti, Sibghat Ullah Bazai, Muhammad Aamir - Remote Sensing Techniques for Blue Carbon and Coastal Ecosystem Monitoring, Häftad

Häftad, Engelska, 2026

Remote Sensing Techniques for Blue Carbon and Coastal Ecosystem Monitoring

Av Uzair Aslam Bhatti, Sibghat Ullah Bazai, Muhammad Aamir

1975 kr

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Beskrivning
Remote Sensing Techniques for Blue Carbon and Coastal Ecosystem Monitoring offers a comprehensive exploration of cutting-edge remote sensing technologies for the effective monitoring and conservation of blue carbon ecosystems, including mangroves and seagrass beds. In the face of increasing threats from emerging contaminants such as plastics, pharmaceuticals, and pollutants, this book highlights the vital role these ecosystems play in carbon sequestration and climate change mitigation. Combining satellite imagery, UAV-based sensing, hyperspectral techniques, and ecological models with GIS integration, it provides both theoretical insights and practical case studies from around the world.

Essential for students, researchers, practitioners, and policymakers, this guide equips readers with the tools necessary to assess ecosystem health, inform management strategies, and support sustainable coastal development in a rapidly changing environment.

  • Offers a comprehensive overview of remote sensing technologies, including satellite imagery, UAV systems, and hyperspectral sensing for monitoring blue carbon ecosystems
  • Provides practical approaches and tools for assessing ecosystem health, supporting conservation, and informing management strategies
  • Includes case studies from around the world that illustrate successful applications of remote sensing techniques in coastal ecosystem monitoring and pollution assessment
Produktinformation
  • Utgivningsdatum: 2026-11-27
  • Mått: 191 x 235 x undefined mm
  • Format: Häftad
  • Språk: Engelska
  • Antal sidor: 450
  • Förlag: Elsevier Science
  • ISBN: 9780443458873
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Mer om författaren

Uzair Aslam Bhatti is a researcher focused on applying machine learning to medical and signal processing problems, with additional interest in broader artificial intelligence applications. He completed his PhD at Hainan University, where he received two Best Research Paper Awards and a Chinese Government Scholarship. After his PhD, he worked as a Postdoctoral Researcher at Nanjing Normal University (School of Geography), in the Remote Sensing and Signal Processing area. During this period, he contributed as first author to multiple publications in SCI-indexed journals and conferences, including work in IEEE Transactions on Geoscience and Remote Sensing and Chemosphere. His work also contributed to recognition as an Excellent Postdoctoral Candidate by Nanjing Normal University. He has participated in research projects supported by the National Natural Science Foundation of China, the National Key R&D Program, and the Hainan Provincial Major Science and Technology Program.Sibghat Ullah Bazai received the Ph.D. degree in information technology with a specialization in cyber security from Massey University, Auckland, New Zealand. Currently, he is an Assistant Professor with the Department of Computer Engineering, Faculty of Information and Communication Technology, Balochistan University of Information Technology, Engineering, and Management Sciences (BUITEMS). His research interests include the application of cybersecurity and privacy in computer-aided diagnosis, disease identification using deep learning, local language sentiment corpus design, and smart city planning. He also serves as a Guest Editor and a Reviewer for special issues in journals, such as MDPI, Hindawi, CMC, PLOS One, and Frontier. He was a recipient of the HEC HRDI-UESTP Faculty Ph.D. Scholarship Muhammad Aamir earned his Ph.D. in Computer Science and Technology from Sichuan University (Chengdu, China) in 2019. He is currently an Associate Professor with the Department of Computer Science at Huanggang Normal University (Huanggang, China). He received the B.E. in Computer Systems Engineering from Mehran University of Engineering and Technology (Jamshoro, Sindh, Pakistan) in 2008 and the M.E. in Software Engineering from Chongqing University (Chongqing, China) in 2014. His research interests include pattern recognition, computer vision, image processing, deep learning, and fractional calculus.

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