Analysis of Surface Water Trends for the Conterminous United States Using MODIS Satellite Data, 2003–2019

Satellite imagery is commonly used to map surface water extents over time, but many approaches yield discontinuous records resulting from cloud obstruction or image archive gaps. We applied the Dynamic Surface Water Extent (DSWE) model to downscaled (250‐m) daily Moderate Resolution Imaging Spectror...

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Bibliographic Details
Published in:Water resources research 2022-06, Vol.58 (6), p.n/a
Main Authors: Petrakis, Roy E., Soulard, Christopher E., Waller, Eric K., Walker, Jessica J.
Format: Article
Language:English
Subjects:
Aggregation
Archives & records
Clouds
Daily
Discharge measurement
DSWEmod
ecoregions
Environmental protection
Flooding
Geographical distribution
Imagery
Lakes
Mann‐Kendall
MODIS
Monthly
Records
remote sensing
Resource management
Rivers
Satellite data
Satellite imagery
Satellites
Spaceborne remote sensing
Spectroradiometers
streamgage discharge trends
Surface water
surface water trends
Trends
Water flow
Water resources
Water resources management
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Summary:Satellite imagery is commonly used to map surface water extents over time, but many approaches yield discontinuous records resulting from cloud obstruction or image archive gaps. We applied the Dynamic Surface Water Extent (DSWE) model to downscaled (250‐m) daily Moderate Resolution Imaging Spectroradiometer (MODIS) data in Google Earth Engine to generate monthly surface water maps for the conterminous United States (US) from 2003 through 2019. The aggregation of daily observations to monthly maps of maximum water extent produced records with diminished cloud and cloud shadow effects across most of the country. We used the continuous monthly record to analyze spatiotemporal surface water trends stratified within Environmental Protection Agency Ecoregions. Although not all ecoregion trends were significant (p 
ISSN:0043-1397
1944-7973
DOI:10.1029/2021WR031399