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Floodplains, South America, Nardi et al. 2019


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Type: Resource
Storage: The size of this resource is 29.8 MB
Created: Dec 02, 2020 at 11:38 p.m.
Last updated: Dec 21, 2020 at 10:02 p.m.
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Content types: Single File Content  Geographic Raster Content 
Sharing Status: Discoverable
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Abstract

This resource contains a raster map of the South America's floodplains. It was developed by Nardi et al. (2019) and described in a data publication titled "GFPLAIN250m, a global high-resolution dataset
of Earth’s floodplains." Per the publication title, the data source has developed maps for the world; however, only the South America map is included in this resource. It is being used in the Amazon Freshwater Conservation Targets project to delineate the Amazon Basin floodplains.

Abstract from data hosting source (modified): The GFPLAIN250m includes raster data of Earth's floodplains identified using a geomorphic approach presented in Nardi et al. (2006, 2018). The 250m floodplain dataset is derived by processing the NASA SRTM Digital Elevation model gathered from http://srtm.csi.cgiar.org/, and in particular the 250-m SRTM version 4.1 DTM. Files are stored using both the Esri ASCII raster and the GeoTIFF Format and provided as seamless dataset using the World Geodetic System 1984 (WGS84) datum and geographic coordinate system.

Abstract from the manuscript: Identifying floodplain boundaries is of paramount importance for earth, environmental and socioeconomic studies addressing riverine risk and resource management. However, to date, a global floodplain delineation using a homogeneous procedure has not been constructed. In this paper, we present the first, comprehensive, high-resolution, gridded dataset of Earth’s floodplains at 250-m resolution (GFPLAIN250m). We use the Shuttle Radar Topography Mission (SRTM) digital terrain model and set of terrain analysis procedures for geomorphic floodplain delineations. The elevation data are processed by a fast geospatial tool for floodplain mapping available for download at https://github.com/fnardi/GFPLAIN. The GFPLAIN250m dataset can support many applications, including flood hazard mapping, habitat restoration, development studies, and the analysis of human-flood interactions. To test the GFPLAIN250m dataset, we perform a consistency analysis with floodplain delineations derived by flood hazard modelling studies in Europe.

Content Description:
"TIFF" folder contains the raster map files in GeoTIFF format.

"ASCII.zip" folder contains the raster map files in ASCII format. Because of the large file size, the files are zipped.

"Nardi_2019_GlobalFloodplains.pdf" is a PDF the manuscript that describes the data.

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
South America
North Latitude
12.5903°
East Longitude
-34.7922°
South Latitude
-54.7308°
West Longitude
-91.6643°

Content

  You do not have permission to see these content files. Please contact an Owner if you wish to obtain access.

Related Resources

The content of this resource is derived from Nardi, Fernando; Annis, Antonio (2018): GFPLAIN250m. figshare. Dataset. https://doi.org/10.6084/m9.figshare.6665165.v1
The content of this resource can be executed by https://github.com/fnardi/GFPLAIN
This resource is described by Nardi, F., Annis, A., Baldassarre, G. Di, Vivoni, E. R., & Grimaldi, S. (2019). GFPLAIN250m, a global high-resolution dataset of earth’s floodplains. Scientific Data, 6, 1–6. https://doi.org/10.1038/sdata.2018.309
This resource belongs to the following collections:
Title Owners Sharing Status My Permission
Spatial Scale: Amazon Basin Claire Beveridge  Private &  Shareable None
Working Group: Floodplains & Natural Flows Claire Beveridge  Private &  Shareable None
Category: Hydrology Claire Beveridge  Private &  Shareable None
Category: Land Use/Land Cover Claire Beveridge  Private &  Shareable None

How to Cite

Beveridge, C. (2020). Floodplains, South America, Nardi et al. 2019, HydroShare, http://www.hydroshare.org/resource/c9e85feef51f4e8e89232eea431ece25

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

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

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