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Ensemble flood map spatial verification

<p>Assessing the spatial spread-skill of ensemble flood maps with remote sensing observations, data and code.</p> <p>Creator: Helen Hooker[1] Publication Year: 2022</p> <p>Organisation(s): 1. Department of Meteorology, University of Reading, U.K</p> <p>Description: This dataset contains:</p> <p>- Python functions for ensemble flood map spatial spread-skill evaluation.</p> <p>- SAR-derived observed flood maps used in the study.</p> <p>Helen Hooker. (2022). Ensemble flood map spatial verification&nbsp;(v1.0) [Data set]. Zenodo. https://10.5281/zenodo.6603101</p> <p>Related publications:</p> <p>Assessing the spatial spread-skill of ensemble flood maps with remote sensing observations; 2023; NHESS;&nbsp;Helen Hooker[1], Sarah L. Dance[1,2,3], David C. Mason[4], John Bevington[5], and Kay Shelton[5]</p> <ol> <li>Department of Meteorology, University of Reading, UK.</li> <li>Department of Mathematics and Statistics, University of Reading, UK.</li> <li>NCEO, University of Reading, UK.</li> <li>Department of Geography and Environmental Science, University of Reading, UK.</li> <li>JBA Consulting, UK.</li> </ol> <p>Correspondence: Helen Hooker (<a href="mailto:h.hooker@pgr.reading.ac.uk">h.hooker@pgr.reading.ac.uk</a>)</p>

ShareScore

24/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
0
Engagement
0