Active-Passive Water Classification, Senegal, 2022, version 001
| Authors: | |
|---|---|
| Owners: | Kimberly Slinski |
| 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: | 606 |
| Downloads: | 26 |
| +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
Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
North Latitude
16.5330°
East Longitude
-14.2222°
South Latitude
14.6620°
West Longitude
-16.1676°
Temporal
| Start Date: | 05/01/2022 |
|---|---|
| End Date: | 12/31/2022 |
Leaflet Map data © OpenStreetMap contributors
Content
This resource contains links to external content. Linked content is
NOT stored in HydroShare, and we can't guarantee its availability, quality, or
security.
Data Services
The following web services are available for data contained in this resource. Geospatial Feature and Raster
data are made available via Open Geospatial Consortium Web Services. The provided links can be copied and pasted
into GIS software to access these data. Multidimensional NetCDF data are made available via a THREDDS Data Server
using remote data access protocols such as OPeNDAP. Other data services may be made available in the future to
support additional data types.
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
Slinski, K. (2023). Active-Passive Water Classification, Senegal, 2022, version 001, HydroShare, https://doi.org/10.4211/hs.36d019b4c90a4f71bbb5c9db76f12009
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