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In this work, we propose a novel procedure combining spatiotemporal context learning method and Modest AdaBoost classifier, which aims to extract inundation in an automatic and accurate way. ... The availability of multi-date images makes it possible to monitor the progress of floods. Satellites used for mapping floods can be divided into those that are optical and those that are microwave. ... A novel inundation mapping approach based on spatiotemporal context learning and Modest AdaBoost is proposed and verified in this paper. ...doi:10.3390/rs9060617 fatcat:umjc75zyz5cgdduu6wyrfsyy6i
Interestingly, the last decade has presented great opportunities with a series of scholarly activities exploring how camera images and wireless sensor data from Internet-of-Things (IoT) networks can improve ... This paper presents a systematic review of the literature regarding IoT-based sensors and computer vision applications in flood monitoring and mapping. ... Acknowledgments: Special thanks to the Illawarra-Shoalhaven Smart Water Management team for their support and guidance. Conflicts of Interest: The authors declare no conflict of interest. ...doi:10.3390/s19225012 pmid:31744161 pmcid:PMC6891459 fatcat:4jnir477ajfwjnqm6eznbipx2a