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Fatimazahra Barramou - Geospatial Intelligence: Applications and Future Trends

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Fatimazahra Barramou Geospatial Intelligence: Applications and Future Trends

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This book explores cutting-edge methods combining geospatial technologies and artificial intelligence related to several fields such as smart farming, urban planning, geology, transportation, and 3D city models. It introduces techniques which range from machine and deep learning to remote sensing for geospatial data analysis.

The book consists of two main parts that include 13 chapters contributed by promising authors. The first part deals with the use of artificial intelligence techniques to improve spatial data analysis, whereas the second part focuses on the use of artificial intelligence with remote sensing in various fields. Throughout the chapters, the interest for the use of artificial intelligence is demonstrated for different geospatial technologies such as aerial imagery, drones, Lidar, satellite remote sensing, and more.

The work in this book is dedicated to the scientific community interested in the coupling of geospatial technologies and artificial intelligence and exploring the synergetic effects of both fields. It offers practitioners and researchers from academia, the industry and government information, experiences and research results about all aspects of specialized and interdisciplinary fields on geospatial intelligence.

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Book cover of Geospatial Intelligence Advances in Science Technology - photo 1
Book cover of Geospatial Intelligence
Advances in Science, Technology & Innovation IEREK Interdisciplinary Series for Sustainable Development
Series Editor
Mourad Amer
International Experts for Research Enrichment and Knowledge Exchange (IEREK), Cairo, Egypt
Editorial Board
Anna Laura Pisello
Department of Engineering, University of Perugia, Italy
Dean Hawkes
University of Cambridge, Cambridge, UK
Hocine Bougdah
University for the Creative Arts, Farnham, UK
Federica Rosso
Sapienza University of Rome, Rome, Italy
Hassan Abdalla
University of East London, London, UK
Sofia-Natalia Boemi
Aristotle University of Thessaloniki, Greece
Nabil Mohareb
Faculty of Architecture - Design and Built Environment, Beirut Arab University, Beirut, Lebanon
Saleh Mesbah Elkaffas
Arab Academy for Science, Technology, Egypt
Emmanuel Bozonnet
University of la Rochelle, La Rochelle, France
Gloria Pignatta
University of Perugia, Italy
Yasser Mahgoub
Qatar University, Qatar
Luciano De Bonis
University of Molise, Italy
Stella Kostopoulou
Regional and Tourism Development, University of Thessaloniki, Thessaloniki, Greece
Biswajeet Pradhan
Faculty of Engineering and IT, University of Technology Sydney, Sydney, Australia
Md. Abdul Mannan
Universiti Malaysia Sarawak, Malaysia
Chaham Alalouch
Sultan Qaboos University, Muscat, Oman
Iman O. Gawad
Helwan University, Egypt
Anand Nayyar
Graduate School, Duy Tan University, Da Nang, Vietnam

Advances in Science, Technology & Innovation (ASTI) is a series of peer-reviewed books based on important emerging research that redefines the current disciplinary boundaries in science, technology and innovation (STI) in order to develop integrated concepts for sustainable development. It not only discusses the progress made towards securing more resources, allocating smarter solutions, and rebalancing the relationship between nature and people, but also provides in-depth insights from comprehensive research that addresses the 17 sustainable development goals (SDGs) as set out by the UN for 2030.

The series draws on the best research papers from various IEREK and other international conferences to promote the creation and development of viable solutions for a sustainable future and a positive societal transformation with the help of integrated and innovative science-based approaches. Including interdisciplinary contributions, it presents innovative approaches and highlights how they can best support both economic and sustainable development, through better use of data, more effective institutions, and global, local and individual action, for the welfare of all societies.

The series particularly features conceptual and empirical contributions from various interrelated fields of science, technology and innovation, with an emphasis on digital transformation, that focus on providing practical solutions to ensure food, water and energy security to achieve the SDGs. It also presents new case studies offering concrete examples of how to resolve sustainable urbanization and environmental issues in different regions of the world.

The series is intended for professionals in research and teaching, consultancies and industry, and government and international organizations. Published in collaboration with IEREK, the Springer ASTI series will acquaint readers with essential new studies in STI for sustainable development.

ASTI series has now been accepted for Scopus (September 2020). All content published in this series will start appearing on the Scopus site in early 2021.

More information about this series at https://link.springer.com/bookseries/15883

Editors
Fatimazahra Barramou , El Hassan El Brirchi , Khalifa Mansouri and Youness Dehbi
Geospatial Intelligence
Applications and Future Trends
1st ed. 2022
Logo of the publisher Editors Fatimazahra Barramou Hassania School of - photo 2
Logo of the publisher
Editors
Fatimazahra Barramou
Hassania School of Public Works, Casablanca, Morocco
El Hassan El Brirchi
Hassania School of Public Works, Casablanca, Morocco
Khalifa Mansouri
Higher Normal School of Technical Education of Mohammedia, Mohammedia, Morocco
Youness Dehbi
Institute of Geodesy and Geoinformation, University of Bonn, Bonn, Germany
ISSN 2522-8714 e-ISSN 2522-8722
Advances in Science, Technology & Innovation
ISBN 978-3-030-80457-2 e-ISBN 978-3-030-80458-9
https://doi.org/10.1007/978-3-030-80458-9
The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
This work is subject to copyright. All rights are solely and exclusively licensed by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed.
The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use.
The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

This Springer imprint is published by the registered company Springer Nature Switzerland AG

The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland

Preface

Currently, Geospatial Data are democratized leading to a huge of data available to everyone. Handling of such large volume of data is, however, a complex and laborious problem. Processing large volume of data requires vast computing power and specific expertise. That is why we need to use artificial intelligence that structure data, optimize productivity, and automate repetitive tasks. The main objective of this book entitled Geospatial Intelligence: Applications and Future Trends is to explore cutting-edge methods combining geospatial technologies and artificial intelligence related to several diversified fields such as smart farming, urban planning, transportation, and 3D city models. It introduces techniques which range from machine and deep learning to remote sensing for geospatial data analysis. The work in this book is addressed to the scientific community interested in the coupling between Geospatial Technologies and Artificial Intelligence. It will offer practitioners and researchers from academia, industry and government information, experiences, and research results about all aspects of specialized and interdisciplinary fields on Geospatial Intelligence. This book will focus on the recent trends and challenges for employing artificial intelligence for remote sensing and spatial data analytics. To achieve the objectives, the book consists of two main parts that includes 13 chapters contributed by promising authors.

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