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Interannual Response of Reef Islands to Climate-Driven Variations in Water Level and Wave Climate
- Source :
- Remote Sensing, Vol 12, Iss 4089, p 4089 (2020), Remote Sensing, Volume 12, Issue 24, Pages: 4089
- Publication Year :
- 2020
- Publisher :
- MDPI AG, 2020.
-
Abstract
- Coral reef islands are among the most vulnerable landforms to climate change. However, our understanding of their morphodynamics at intermediate (seasonal to interannual) timescales remains poor, limiting our ability to forecast how they will evolve in the future. Here, we applied a semi-automated shoreline detection technique (CoastSat.islands) to 20 years of publicly available satellite imagery to investigate the evolution of a group of reef islands located in the eastern Indian Ocean. At interannual timescales, island changes were characterized by the cyclical re-organization of island shorelines in response to the variability in water levels and wave conditions. Interannual variability in forcing parameters was driven by El Niño Southern Oscillation (ENSO) cycles, causing prolonged changes to water levels and wave conditions that established new equilibrium island morphologies. Our results present a new opportunity to measure intermediate temporal scale changes in island morphology that can complement existing short-term (weekly to seasonal) and long-term (decadal) understanding of reef island evolution.
- Subjects :
- 010504 meteorology & atmospheric sciences
Science
Climate change
Forcing (mathematics)
01 natural sciences
03 medical and health sciences
shoreline variability
satellite-derived shorelines
Reef
CoastSat
030304 developmental biology
0105 earth and related environmental sciences
Shore
0303 health sciences
geography
geography.geographical_feature_category
Landform
Coral reef
reef islands
Water level
Oceanography
General Earth and Planetary Sciences
Environmental science
ENSO
Beach morphodynamics
Subjects
Details
- Language :
- English
- ISSN :
- 20724292
- Volume :
- 12
- Issue :
- 4089
- Database :
- OpenAIRE
- Journal :
- Remote Sensing
- Accession number :
- edsair.doi.dedup.....5c41ec57ad602b98c633407e1ddc2355