Implementation of a Surface Water Extent Model using Cloud-Based Remote Sensing - Code and Maps

Dates

Publication Date: 2020-02-10
Start Date: 1988
End Date: 2018

Citation

Walker, J.J., Petrakis, R.E., and Soulard, C.E., 2020, Implementation of a Surface Water Extent Model using Cloud-Based Remote Sensing - Code and Maps: U.S. Geological Survey data release, https://doi.org/10.5066/P9LH9YYF.

Summary

This data release comprises the raster data files and code necessary to perform all analyses presented in the associated publication. The 16 TIF raster data files are classified surface water maps created using the Dynamic Surface Water Extent (DSWE) model implemented in Google Earth Engine using published technical documents. The 16 tiles cover the country of Cambodia, a flood-prone country in Southeast Asia lacking a comprehensive stream gauging network. Each file includes 372 bands. Bands represent surface water for each month from 1988 to 2018, and are stacked from oldest (Band 1 - January 1988) to newest (Band 372 - December 2018). DSWE classifies pixels unobscured by cloud, cloud shadow, or snow into five categories of ground [...]

Summary

This data release comprises the raster data files and code necessary to perform all analyses presented in the associated publication. The 16 TIF raster data files are classified surface water maps created using the Dynamic Surface Water Extent (DSWE) model implemented in Google Earth Engine using published technical documents. The 16 tiles cover the country of Cambodia, a flood-prone country in Southeast Asia lacking a comprehensive stream gauging network. Each file includes 372 bands. Bands represent surface water for each month from 1988 to 2018, and are stacked from oldest (Band 1 - January 1988) to newest (Band 372 - December 2018). DSWE classifies pixels unobscured by cloud, cloud shadow, or snow into five categories of ground surface inundation; in addition to not-water (class 0) and water (class 1), the DSWE algorithm distinguishes pixels that are less distinctly inundated (class 2: "moderate confidence"), comprise a mixture of vegetation and water (class 3: "potential wetland"), or are of marginal validity (class 4: "water or wetland - low confidence"). Class 9 is applied to classify clouds, shadows and hill shade. Two additional documents accompany the raster image files and XML metadata. The first provides a key representing the general location of each raster file. The second file includes all Google Earth Engine Javascript code, which can be used online (https://code.earthengine.google.com/) to replicate the monthly DSWE map time series for Cambodia, or for any other location on Earth. The code block includes comments to explain how each step works.

These data support the following publication: Soulard, C.E., Walker, J.J., and Petrakis, R.E., 2020, Implementation of a Surface Water Extent Model in Cambodia using Cloud-Based Remote Sensing: Remote Sensing, v. 12, no. 6, p. 984, https://doi.org/10.3390/rs12060984.

Contacts

Point of Contact :: Jessica J Walker
Process Contact :: Jessica J Walker
Originator :: Jessica J Walker, Roy E Petrakis, Christopher E Soulard
Metadata Contact :: Jessica J Walker
Publisher :: U.S. Geological Survey
Distributor :: U.S. Geological Survey - ScienceBase
SDC Data Owner :: Western Geographic Science Center
USGS Mission Area :: Land Resources

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Implementation of a Surface Water Extent Model using Cloud-Based Remote Sensing - Code and Maps.xml Original FGDC Metadata	View	18.76 KB	application/fgdc+xml
Cambodia_DSWE_Monthly_13.TIF.zip		441.37 KB	application/zip
Cambodia_DSWE_Monthly_12.TIF.zip		225.19 KB	application/zip
Cambodia_DSWE_Monthly_14.TIF.zip		3.44 MB	application/zip
Cambodia_DSWE_Monthly_3.TIF.zip		16.54 MB	application/zip
Cambodia_DSWE_Monthly_15.TIF.zip		62.55 MB	application/zip
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Cambodia - Map Tiling and Band Summary.docx		305.95 KB	application/vnd.openxmlformats-officedocument.wordprocessingml.document
Implementation of a Surface Water Extent Model using Cloud-Based Remote Sensing - Code - Read Me.docx		29.67 KB	application/vnd.openxmlformats-officedocument.wordprocessingml.document

Related External Resources

Type: Related Primary Publication

Soulard, C.E., Walker, J.J., and Petrakis, R.E., 2020, Implementation of a Surface Water Extent Model in Cambodia using Cloud-Based Remote Sensing: Remote Sensing, v. 12, no. 6, p. 984, https://doi.org/10.3390/rs12060984.	https://doi.org/10.3390/rs12060984

Purpose

The data and code were used to map and analyze monthly surface water extent changes over 31 years for all of Cambodia.

Implementation of a Surface Water Extent Model using Cloud-Based Remote Sensing - Code and Maps

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