Data · collection · 2017
gSSURGO-based Floodplain Maps of the United States
Listed in DataCite
<style type="text/css">li, dd {margin: 0; padding: 0;line-height: 95%;} iframe {overflow: hidden; width: 800px; height: 500px;} .p {width: 800px;} </style> <p id="top">US national wide gSSURGO based floodplain maps are developed by using Gridded Soil Survey Geographic (gSSURGO) database.
Description
Specifically, the SSURGO map units are joined to certain key attributes in the muaggatt and component tables. After joining the spatial data to ‘muaggatt’ and ‘component’ tables, map unit polygons are selected by the following two queries: (1) "geomdesc" LIKE '%flood%' AND "comppct_r" >= 85) OR "taxsubgrp" LIKE '%fluv%'; (2) “muname" ='Water' OR "flodfreqdcd" in ('Rare', 'Occasional', 'Frequent', 'Very Frequent')".
The result from this query, which is a polygon feature class or shapefile, is then dissolved to remove any area less than 15000 square meters are removed. More details about this approach can be found in the following publication: Sangwan, Nikhil, and V. Merwade, A faster and economical approach to floodplain mapping by using soil information, Journal of American Water Resources Association, 51(5): 1286-1304. (2015). doi: <a href="dx.doi.org/10.1111/1752-1688.12306">10.1111/1752-1688.12306</a></p> <p>The following map shows a preview of the floodplain dataset.
Read the rest (1 more)
You can zoom in to your area of interest for more details. To download data, please select a state from the dropdown list or scroll down to the Content List. After you are redirected to a separate page for the selected state, you can download the data from the Supporting Docs tab.</p> <p><iframe aria-label="US Flood Map" src="mapsweb.lib.purdue.edu/floodplain/floodmapHTTPS.html"></iframe></p>
Links
Where it is published
- Repository landing page purr.purdue.edu/publications/2430/1 ↗
landing page · from DataCite
- DOI doi.org/10.4231/r7f769kq ↗
DOI / persistent id · from DataCite
Documentation and papers
- Creative Commons Zero v1.0 Universal creativecommons.org/publicdomain/zero/1.0/legalcode ↗
license · from DataCite
- References 10.1111/1752-1688.12306 doi.org/10.1111/1752-1688.12306 ↗
publication · from DataCite
Catalogue records · 2
- DataCite API api.datacite.org/dois/10.4231/r7f769kq ↗
metadata API · from DataCite
- DataCite Commons commons.datacite.org/doi.org/10.4231/r7f769kq ↗
catalogue entry · from DataCite
Topics
- Stated by source
- Civil engineering · Forestry and Natural Resources
- Inferred from text
- Text 75%
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| DataCite | 10.4231/r7f769kq | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · DataCite | connector:datacite@1.0.0 | /data/attributes/rightsList |
| concepts[field].fos:civil-engineering | source · DataCite | connector:datacite@1.0.0 | |
| concepts[modality].local:modality:text | enrichment · DataCite | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[subject].library-of-congress-subject-headings-lcsh:sh85050707 | source · DataCite | connector:datacite@1.0.0 | |
| description | source · DataCite | connector:datacite@1.0.0 | /data/attributes/descriptions |
| license | source · DataCite | connector:datacite@1.0.0 | /data/attributes/rightsList |
| publication_date | source · DataCite | connector:datacite@1.0.0 | /data/attributes/dates |
| title | source · DataCite | connector:datacite@1.0.0 | /data/attributes/titles/0/title |
| version_label | source · DataCite | connector:datacite@1.0.0 |