Titlebook: Geospatial Intelligence; Applications and Fut Fatimazahra Barramou,El Hassan El Brirchi,Youness Book 2022 The Editor(s) (if applicable) an

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Peripheral Artery Vascular Emergency,per offers a different approach of geospatial flood prediction. The method relies on social behavior displayed and made available by users of the platform Twitter. A sentiment analysis method is developed in order to identify users’ reactions to inundations according to their geospatial location, wh

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https://doi.org/10.1007/978-3-663-01735-6s developed smart engines prevent the occurrence of unpredictable events. Secondly, by integrating to this combination, location intelligence provides multi-perspective modelling and geo-statistic data integration with real-time operational data into digital twins offers a generic system for prognos

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Book 2022, 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

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https://doi.org/10.1057/9780230244719nsity, elevation, roughness, and aspect. A susceptibility index map was generated in the Aknoul Region in the Rif to illustrate the CNN results. We found that areas with very high susceptibility index are affected the most by landslides.