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Remote Sensing of Soil and Land Surface Processes: Monitoring, Mapping, and Modeling (Earth Observation) - Softcover

Buch 9 von 26: Earth Observation
 
9780443153419: Remote Sensing of Soil and Land Surface Processes: Monitoring, Mapping, and Modeling (Earth Observation)
Softcover
ISBN 10: 0443153418 ISBN 13: 9780443153419
Verlag: Elsevier, 2023

Inhaltsangabe

Remote Sensing of Soil and Land Surface Processes: Monitoring, Mapping, and Modeling couples artificial intelligence and remote sensing for mapping and modeling natural resources, thus expanding the applicability of AI and machine learning for soils and landscape studies and providing a hybridized approach that also increases the accuracy of image analysis. The book covers topics including digital soil mapping, satellite land surface imagery, assessment of land degradation, and deep learning networks and their applicability to land surface processes and natural hazards, including case studies and real life examples where appropriate.

This book offers postgraduates, researchers and academics the latest techniques in remote sensing and geoinformation technologies to monitor soil and surface processes.

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Über die Autorinnen und Autoren

Dr. Assefa M. Melesse is a Distinguished University Professor of Water Resources Engineering at Florida International University. He earned his ME (2000) and PhD (2002) from the University of Florida in Agricultural Engineering. His areas of research and experience include climate change impact modeling, watershed modeling, ecohydrology, sediment transport, surface and groundwater interactions modeling, water–energy–carbon fluxes coupling and simulations, remote sensing hydrology, river basin management, and land cover change detection and scaling. Dr. Melesse is a registered Professional Engineer (PE), Board Certified Enviromental Engineer (BCEE) and also a Board Certified Water Resources Engineer (BC.WRE) with over 30 years of teaching and research experience, and has authored/edited 11 books, over 230 journal articles, and over 100 book chapters.

Dr. Omid Rahmati is a geo-environmental researcher and Assistant Professor at the Agricultural Research, Education, and Extension Organization (AREEO) in Iran. His research focuses on applying machine learning models to natural hazard mitigation and watershed management. He has authored and co-authored over 70 articles in international peer-reviewed journals, as well as several books and book chapters. Dr. Rahmati’s publications have been cited more than 12,500 times (H-index: 56), and he has been recognized as a Highly Cited Researcher. He is ranked among the World’s Top 1% of Scientists by Web of Science (Clarivate, 2021–2022) and listed in Stanford University’s “World’s Top 2% Scientists” from 2021 to 2025. His publications over the past decade reflect a broad and significant influence in his field.

Dr. Khabat Khosravi is a Postdoctoral Researcher at Florida International University. His research areas are watershed hydrology, flood modeling, river engineering and bed-load sediment transport modeling, and the application of RS?GIS and machine learning models in water/soil science and natural hazard assessment. In 2020, 2021, and 2022, he was in the world’s top 2% scientists list based on Stanford University data. In addition, he is an Associate Editor in Natural Hazards, Acta Geophysica, and Earth Science Informatics journals.

Von der hinteren Coverseite

Remote Sensing of Soil and Land Surface Processes: Monitoring, Mapping, and Modeling couples artificial intelligence and remote sensing for mapping and modelling natural resources, expanding the applicability of AI and machine learning for soils and landscape studies; providing a hybridized approach that also increases the accuracy of image analysis. The book covers topics including digital soil mapping, satellite land surface imagery, assessment of land degradation, and deep learning networks and their applicability to land surface processes and natural hazards; including case studies and real life examples where appropriate. Remote Sensing of Soil and Land Surface Processes offers postgraduates, researchers, and academics the latest techniques in remote sensing and geoinformation technologies to monitor soil and surface processes.

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Verlag
Elsevier
Erscheinungsdatum
2023
Sprache
Englisch
ISBN 10 
0443153418
ISBN 13 
9780443153419
Einband
Taschenbuch
Auflage
1
Anzahl der Seiten
466
Herausgeber
Melesse Assefa M., Rahmati Omid, Khsoravi Khabat
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
gpsr@libri.de
gpsr@libri.de

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