Remote Sensing of Soil and Land Surface Processes : Monitoring, Mapping, and Modeling

Melesse, Assefa (EDT); Rahmati, Omid (EDT); Khsoravi, Khabat (EDT)

ISBN 10: 0443153418 / ISBN 13: 9780443153419

Edité par Elsevier, 2023

A propos de cet article

N° de réf. du vendeur 46130407-n

Détails bibliographiques

• Titre: Remote Sensing of Soil and Land Surface Processes : Monitoring, Mapping, and Modeling
• Éditeur: Elsevier
• Date de parution: 2023
• Langue: anglais
• ISBN à 10 chiffres: 0443153418
• ISBN à 13 chiffres: 9780443153419
• Reliure: Couverture souple
• État de l'article: New

A propos de ce titre

Synopsis

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.

À propos des auteurs

Professor Assefa M. Melesse is a 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) and also Diplomate of Water Resources Engineer (D. WRE) with over 30 years of teaching and research experience, and has authored/edited 7 books, over 215 journal articles, and over 90 book chapters.

Dr. Omid Rahmati is a Geo-environmental Researcher and Assistant Professor at the AREEO institute, Iran. He has widespread research interests in risk, modeling, uncertainty, and decision-making in relation to natural hazards and natural resources management. He has published over 70 articles in international peer-reviewed journals and has been cited over 7000 times. He has been selected as the Highly Cited Researchers (the world's top 1% scientists) in 2022 and 2023 based on the Web of Science (Clarivate) who has demonstrated broad and significant influence reflected in his publications over the last decade.

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.