Geospatial Intelligence Applications and Future Trends 1st Edition by Fatimazahra Barramou, El Hassan El Brirchi, Khalifa Mansouri, Youness Dehbi 9783030804589 3030804585

Geospatial Intelligence Applications and Future Trends 1st Edition Fatimazahra Barramou, El Hassan El Brirchi, Khalifa Mansouri, Youness Dehbi – Ebook PDF Instant Download/Delivery ISBN(s): 9783030804589, 3030804585

Product details:

• ISBN 10: 3030804585
• ISBN 13: 9783030804589
• Author: Fatimazahra Barramou, El Hassan El Brirchi, Khalifa Mansouri, Youness Dehbi

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.

Table contents:

Spatial Data and Artificiel Intelligence
Towards a Multi-agents Model for Automatic Big Data Processing to Support Urban Planning
Geospatial Forecasting and Social Media Exploration Based on Sentiment Analysis: Application to Flood Forecasting
Deep Convolution Neural Network for Automated Method of Road Extraction on Aerial Imagery
Enhancing the Management of Traffic Sequence Following Departure Trajectories
A Multiagent and Machine Learning Based Denial of Service Intrusion Detection System for Drone Networks
Toward a Deep Learning Approach for Automatic Semantic Segmentation of 3D Lidar Point Clouds in Urban Areas
Artificial and Geospatial Intelligence Driven Digital Twins’ Architecture Development Against the Worldwide Twin Crisis Caused by COVID-19
Remote Sensing and Artificiel Intelligence
Opportunities for Artificial Intelligence in Precision Agriculture Using Satellite Remote Sensing
Monitoring Land Productivity Trends in Souss-Massa Region Using Landsat Time Series Data to Support SDG Target 15.3
Subimages-Based Approach for Landslide Susceptibility Mapping Using Convolutional Neural Network
Lithological Mapping for a Semi-arid Area Using GEOBIA and PBIA Machine Learning Approaches with Sentinel-2 Imagery: Case Study of Skhour Rehamna, Morocco
Optimization of Object-Based Image Analysis with Genetic Programming to Generate Explicit Knowledge from WorldView-2 Data for Urban Mapping
Machine Learning and Remote Sensing in Mapping and Estimating Rosemary

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