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Monthly Dynamic Surface Water Extent MODIS (DSWEmod) Images for the Conterminous United States – 2008

Dates

Publication Date
Start Date
2008-01-01
End Date
2008-12-31

Citation

Petrakis, R.E., Soulard, C.E., Waller, E.K., and Walker, J.J., 2021. National Surface Water Maps using Daily MODIS Satellite Data for the Conterminous United States, 2003–2019: U.S. Geological Survey data release. https://doi.org/10.5066/P9UMFBDE.

Summary

Members from the U.S. Geological Survey (USGS) Patterns in the Landscape - Analyses of Cause and Effect (PLACE) team are releasing monthly surface water maps for the conterminous United States (U.S.) from 2003 through 2019 as 250-meter resolution geoTIFF files. The maps were produced using the Dynamic Surface Water Extent (DSWE) algorithm applied to daily Moderate Resolution Imaging Spectroradiometer (MODIS) imagery (DSWEmod) (Soulard et al., 2021) - see associated items. The DSWEmod model classifies the landscape (i.e., each MODIS pixel) into different classes of surface water based on quantified levels of confidence, including, i) high-confidence surface water (class 1), ii) moderate-confidence surface water (class 2), iii) potential [...]

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Attached Files

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DSWEmod_US_2008.tif
“DSWEmod Monthly - 2008”
thumbnail 119.21 MB image/geotiff

Purpose

Mapping surface water using satellite imagery can be challenging due to obstructions from clouds and cloud shadow. Daily satellite images from the Moderate Resolution Imaging Spectroradiometer (MODIS) can reduce the impact of these obstructions by providing more opportunities to access cloud-free scenes. The PLACE team developed monthly surface water maps for the conterminous United States (U.S.) using the Dynamic Surface Water Extent MODIS (DSWEmod) algorithm for all months from 2003 through 2019. The maps include the following four classes of surface water, based on quantified levels of confidence in the DSWEmod algorithm: i) high-confidence surface water (class 1), ii) moderate-confidence surface water (class 2), iii) potential wetland (class 3), and iv) low-confidence water/wetland (class 4), as well as a not-water class (class 0) and a no-data class (class 9) at 250-meter resolution.

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