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Active-Passive Water Classification, Senegal, 2022, version 001

Domain:

geospatialenvironment and energy

Record type:

dataset
Creator:
Sli
Publisher:
Con
Host:avatar
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. This dataset is the output of the APWC method applied over northern Senegal by month for May through December 2022. These data were generated in August 2023.

Visit

doi.orgwww.hydroshare.org

Tasks

computer visionimage classification

Tags

Sentinel 1Surface WaterSenegalWater classificationLandsat

Licenses

This resource is shared under the Creative Commons Attribution CC BY.http://creativecommons.org/licenses/by/4.0/