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A Scalable Synthesis of Multiple Models of Geo Big Data Interpretation

Alessia Goffi, Gloria Bordogna, Daniela Stroppiana, Mirco Boschetti, Pietro Alessandro Brivio
<span title="">2020</span> <i title="Scientific Research Publishing, Inc."> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/siea63ugazhotdhlrexmuoemia" style="color: black;">Journal of Software Engineering and Applications</a> </i> &nbsp;
The paper proposes a scalable fuzzy approach for mapping the status of the environment integrating several distinct models exploiting geo big data.  ...  The proposal resembles an ensemble approach with the difference that the aggregation is not necessarily consensual but can model a distinct decision attitude in between pessimistic and optimistic.  ...  Level-2A S2 images were downloaded and preprocessed with a sen2r toolbox [38] . The details of the preprocessing operations are described in [39] .  ... 
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Knowledge and Data-Driven Mapping of Environmental Status Indicators from Remote Sensing and VGI

Goffi, Bordogna, Stroppiana, Boschetti, Brivio
<span title="2020-02-04">2020</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/kay2tsbijbawliu45dnhvyvgsq" style="color: black;">Remote Sensing</a> </i> &nbsp;
The proposal is applied to map the status of standing water areas (i.e., water bodies and rivers and human-driven or natural hazard flooding) using multispectral optical images by ESA Sentinel-2 sources  ...  It is transparent, intended as human understandable as far as the employed criteria, and both knowledge and data-driven.  ...  Level-2A S2 images were downloaded and preprocessed with sen2r toolbox [40] . The details of the preprocessing operations are described in [36] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/rs12030495">doi:10.3390/rs12030495</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/lhadeh5utjeexlk37powaxlxmu">fatcat:lhadeh5utjeexlk37powaxlxmu</a> </span>
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