Checking for non-preferred file/folder path names (may take a long time depending on the number of files/folders) ...
This resource contains some files/folders that have non-preferred characters in their name. Show non-conforming files/folders.
This resource contains content types with files that need to be updated to match with metadata changes. Show content type files that need updating.
Authors: |
|
|
---|---|---|
Owners: |
|
This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (help@cuahsi.org) for information on this resource. |
Type: | Resource | |
Storage: | The size of this resource is 26.3 MB | |
Created: | Sep 23, 2023 at 11:39 p.m. | |
Last updated: | Oct 24, 2023 at 12:59 p.m. (Metadata update) | |
Published date: | Oct 24, 2023 at 12:59 p.m. | |
DOI: | 10.4211/hs.36d019b4c90a4f71bbb5c9db76f12009 | |
Citation: | See how to cite this resource | |
Content types: | Geographic Raster Content |
Sharing Status: | Published |
---|---|
Views: | 349 |
Downloads: | 8 |
+1 Votes: | Be the first one to this. |
Comments: | No comments (yet) |
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. 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.
Subject Keywords
Coverage
Spatial
Temporal
Start Date: | |
---|---|
End Date: |
Content
Data Services
Credits
Funding Agencies
This resource was created using funding from the following sources:
Agency Name | Award Title | Award Number |
---|---|---|
NASA | NASA Earth Science Applications: Water Resources, Earth Observation-Based Monitoring and Forecasting of Rangeland Water Resources. | 80NSSC22K0930 |
Bureau of Humanitarian Assistance, U.S. Agency for International Development | FAMINE EARLY WARNING SYSTEMS NETWORK (FEWS NET) | PAPA BHA22H00005 |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
Comments
There are currently no comments
New Comment