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Article

Wetland Dynamics Inferred from Spectral Analyses of Hydro-Meteorological Signals and Landsat Derived Vegetation Indices

1
Department of Civil, Environmental and Construction Engineering, University of Central Florida, Orlando, FL 32816, USA
2
Department of Civil Engineering, Embry-Riddle Aeronautical University, Daytona Beach, FL 32114, USA
*
Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(1), 12; https://doi.org/10.3390/rs12010012
Received: 17 September 2019 / Revised: 8 December 2019 / Accepted: 12 December 2019 / Published: 18 December 2019
(This article belongs to the Special Issue Earth Observations for Coastal Resilience)
The dynamic response of coastal wetlands (CWs) to hydro-meteorological signals is a key indicator for understanding climate driven variations in wetland ecosystems. This study explored the response of CW dynamics to hydro-meteorological signals using time series of Landsat-derived normalized difference vegetation index (NDVI) values at six locations and hydro-meteorological time-series from 1984 to 2015 in Apalachicola Bay, Florida. Spectral analysis revealed more persistence in NDVI values for forested wetlands in the annual frequency domain, compared to scrub and emergent wetlands. This behavior reversed in the decadal frequency domain, where scrub and emergent wetlands had a more persistent NDVI than forested wetlands. The wetland dynamics were found to be driven mostly by the Apalachicola Bay water level and precipitation. Cross-spectral analysis indicated a maximum time-lag of 2.7 months between temperature and NDVI, whereas NDVI lagged water level by a maximum of 2.2 months. The quantification of persistent behavior and subsequent understanding that CW dynamics are mostly driven by water level and precipitation suggests that the severity of droughts, floods, and storm surges will be a driving factor in the future sustainability of CW ecosystems. View Full-Text
Keywords: coastal wetland; NDVI; power-spectra; cross-spectra; precipitation; temperature; water level; wind speed coastal wetland; NDVI; power-spectra; cross-spectra; precipitation; temperature; water level; wind speed
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MDPI and ACS Style

Tahsin, S.; Medeiros, S.C.; Singh, A. Wetland Dynamics Inferred from Spectral Analyses of Hydro-Meteorological Signals and Landsat Derived Vegetation Indices. Remote Sens. 2020, 12, 12. https://doi.org/10.3390/rs12010012

AMA Style

Tahsin S, Medeiros SC, Singh A. Wetland Dynamics Inferred from Spectral Analyses of Hydro-Meteorological Signals and Landsat Derived Vegetation Indices. Remote Sensing. 2020; 12(1):12. https://doi.org/10.3390/rs12010012

Chicago/Turabian Style

Tahsin, Subrina, Stephen C. Medeiros, and Arvind Singh. 2020. "Wetland Dynamics Inferred from Spectral Analyses of Hydro-Meteorological Signals and Landsat Derived Vegetation Indices" Remote Sensing 12, no. 1: 12. https://doi.org/10.3390/rs12010012

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