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.

Flood Inundation Mapping Utilizing Synthetic Aperture Radar and Ancillary Data

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 99.3 KB
Created:	May 28, 2019 at 2:11 p.m.
Last updated:	Jun 09, 2019 at 12:15 p.m.
Citation:	See how to cite this resource
Content types:	Geographic Feature Content

Sharing Status:	Public
Views:	1974
Downloads:	90
+1 Votes:	Be the first one to this.
Comments:	No comments (yet)

Abstract

Floods are one of the most significant natural disasters and having near-realtime (NRT) or retrospective information on inundation can help first responders, forecasters, engineers, the general public, and other stakeholders better manage these devastating events to reduce threats to life and property. This manuscript is a detailed examination of how hydrologically relevant terrain data known as height above nearest drainage (HAND) can be used to enhance satellite based C-band synthetic aperture radar (SAR) riverine flood inundation mapping in areas with a variety of land covers. Previous work with C-band SAR has listed numerous difficulties with detecting surface water under thick vegetation and urban areas. While HAND has been used to assist SAR in several capacities, it has not been utilized as a feature for inundation mapping with advanced machine learning classification algorithms.

Subject Keywords

Deleting all keywords will set the resource sharing status to private.

Coverage

Spatial

Coordinate System/Geographic Projection:

WGS 84 EPSG:4326

Coordinate Units:

Decimal degrees

North Latitude

35.2722°

East Longitude

-77.5317°

South Latitude

35.2124°

West Longitude

-77.6298°

Content

Learn more about the BagIt download

Select a file to see file type metadata.

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.

Web Map Service

https://geoserver.hydroshare.org/geoserver/HS-b35f259d7e754792ae5c266954fcabec/wms?request=GetCapabilities

Web Feature Service

https://geoserver.hydroshare.org/geoserver/HS-b35f259d7e754792ae5c266954fcabec/wfs?request=GetCapabilities

How to Cite

Aristizabal, F. (2019). Flood Inundation Mapping Utilizing Synthetic Aperture Radar and Ancillary Data, HydroShare, http://www.hydroshare.org/resource/b35f259d7e754792ae5c266954fcabec

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

http://creativecommons.org/licenses/by/4.0/

Comments

There are currently no comments