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 (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; 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