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020 _a9783030804589
_9978-3-030-80458-9
024 7 _a10.1007/978-3-030-80458-9
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
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072 7 _aCOM004000
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072 7 _aUYQ
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_223
245 1 0 _aGeospatial Intelligence
_h[electronic resource] :
_bApplications and Future Trends /
_cedited by Fatimazahra Barramou, El Hassan El Brirchi, Khalifa Mansouri, Youness Dehbi.
250 _a1st ed. 2022.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2022.
300 _aX, 180 p. 114 illus., 101 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
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490 1 _aAdvances in Science, Technology & Innovation, IEREK Interdisciplinary Series for Sustainable Development,
_x2522-8722
505 0 _aSpatial Data and Artificial 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 Intrusion Detection System for Drone Networks -- Towards 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 Artificial 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 Cover biomass.
520 _aThis 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. .
650 0 _aArtificial intelligence.
650 0 _aBig data.
650 1 4 _aArtificial Intelligence.
650 2 4 _aBig Data.
700 1 _aBarramou, Fatimazahra.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aEl Brirchi, El Hassan.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aMansouri, Khalifa.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aDehbi, Youness.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030804572
776 0 8 _iPrinted edition:
_z9783030804596
776 0 8 _iPrinted edition:
_z9783030804602
830 0 _aAdvances in Science, Technology & Innovation, IEREK Interdisciplinary Series for Sustainable Development,
_x2522-8722
856 4 0 _uhttps://eresourcesptsl.ukm.remotexs.co/user/login?url=https://doi.org/10.1007/978-3-030-80458-9
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