A near real-time water surface detection method based on HSV transformation of MODIS multi-Spectral time series data
- Submitting institution
-
Aston University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 21491414
- Type
- D - Journal article
- DOI
-
10.1016/j.rse.2013.10.008
- Title of journal
- Remote sensing of environment
- Article number
- -
- First page
- 704
- Volume
- 140
- Issue
- -
- ISSN
- 0034-4257
- Open access status
- Out of scope for open access requirements
- Month of publication
- November
- Year of publication
- 2014
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- 7 - Earth Systems and Environmental Sciences
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
6
- Research group(s)
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A - Aston Institute of Urban Technology and the Environment (ASTUTE)
- Citation count
- 69
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This method, allowing reliable detection across environmental contexts for unprecedented analysis of global spatio-temporal water dynamics, was implemented in partnership with Google (https://doi.org/10.1038/nature20584) as Global Surface Water Explorer (GSWE-https://global-surface-water.appspot.com/) for risk, resilience and infrastructure planning. The algorithm is used for near-real-time global monitoring in COPERNICUS Global Land Service – the European flagship for earth observation (https://land.copernicus.eu/global/products/wb). A further paper (https://doi.org/10.1371/journal.pone.0210496) generated 7 articles from news agencies including Reuters. GSWE was endorsed by the UN’s 193 Member States as an official SDG indicator (https://www.sdg6monitoring.org/indicator-661/), approved by the Inter Agency Expert Group as Tier I - the highest classification for indicator methodologies.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
