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Active-Passive Water Classification Results over the Awash River Basin, Ethiopia for October 2014-March 2017
Authors: Kimberly Slinski Terri Hogue John McCray
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Resource type: Composite Resource
Storage: The size of this resource is 71.2 MB
Created: Mar 04, 2019 at 9:16 p.m.
Last updated: Mar 04, 2019 at 9:37 p.m.
DOI: 10.4211/hs.1dc753fcd04146faa76e5b139054d168
Citation: See how to cite this resource
Sharing Status: Published
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Abstract

The “active-passive surface water classification” (APWC) method leverages cloud-based computing resources and machine learning techniques to merge Sentinel 1 synthetic aperture radar and Landsat observations and generate monthly 10-meter resolution waterbody maps. Merging data from two sensor types reduces the impact of errors associated with the individual sensors. The skill of the APWC method is demonstrated by mapping surface water change over the Awash River basin in Ethiopia from October 2014 through March 2017. This period corresponds to the 2015 East African regional drought and 2016 localized flood events. Errors of omission and commission in the case study area are 7.16% and 1.91%, respectively. These data were generated using the APWC method on August 18, 2017.

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Resource Level Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
North Latitude
12.2896°
East Longitude
44.6613°
South Latitude
6.7443°
West Longitude
38.5089°

Temporal

Start Date:
End Date:

Content

References

Sources

Derived From: Torres, R., Snoeij, P., Geudtner, D., Bibby, D., Davidson, M., Attema, E., et al. (2012). GMES Sentinel-1 mission. Remote Sensing of Environment, 120, 9–24. https://doi.org/10.1016/j.rse.2011.05.028
Derived From: USGS. (2017a). Landsat 4-7 Surface Reflectance (LEDAPS) Product Version 7.9 (pp. 1–36). USGS.
Derived From: USGS. (2017b). Landsat 8 Surface Reflectance Code (LsSRC) Product Version 4.0 (pp. 1–36). USGS.

Related Resources

The content of this resource serves as the data for: Slinski, K., T. Hogue, and J. McCray. “Active-passive surface water classification: a new method for high resolution monitoring of surface water dynamics.” Geophysical Research Letters. (in review).

Credits

Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
National Science Foundation Graduate Research Fellowship DGE-1057607

How to Cite

Slinski, K., T. Hogue, J. McCray (2019). Active-Passive Water Classification Results over the Awash River Basin, Ethiopia for October 2014-March 2017, HydroShare, https://doi.org/10.4211/hs.1dc753fcd04146faa76e5b139054d168

This resource is shared under the Creative Commons Attribution CC BY.

  http://creativecommons.org/licenses/by/4.0/
CC-BY

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