{"data":{"id":"10.4231/r7f769kq","type":"dois","attributes":{"doi":"10.4231/r7f769kq","prefix":"10.4231","suffix":"r7f769kq","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Merwade, Venkatesh","givenName":"Venkatesh","familyName":"Merwade","nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0001-5518-2890","nameIdentifierScheme":"ORCID"}],"affiliation":[]},{"name":"Sangwan, Nikhil","affiliation":[],"nameIdentifiers":[]},{"name":"Du, Liuying","affiliation":[],"nameIdentifiers":[]}],"titles":[{"title":"gSSURGO-based Floodplain Maps of the United States"}],"publisher":"Purdue University Research Repository","container":{},"publicationYear":2017,"subjects":[{"subject":"GIS"},{"subject":"floodmaps"},{"subject":"geosciences"},{"subject":"floodplain maps"},{"subject":"gSSURGO soil Data"},{"subject":"Environment"},{"subject":"inland water"},{"subject":"Hydrology"},{"subject":"Forestry and Natural Resources","valueUri":"https://lccn.loc.gov/sh85050707","schemeUri":"https://id.loc.gov/authorities/","subjectScheme":"Library of Congress Subject Headings (LCSH)"},{"subject":"Geographic Information Systems (GIS)"},{"subject":"FOS: Civil Engineering","schemeUri":"https://web-archive.oecd.org/2012-06-15/138575-38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)","classificationCode":"2.1"}],"contributors":[{"name":"Venkatesh Mohan Merwade","nameType":"Personal","givenName":"Venkatesh","familyName":"Merwade","contributorType":"ContactPerson","nameIdentifiers":[{"schemeUri":"https://orcid.org","nameIdentifier":"https://orcid.org/0000-0001-5518-2890","nameIdentifierScheme":"ORCID"}],"affiliation":[]}],"dates":[{"date":"2017-04-18","dateType":"Available"},{"date":"2017-04-18","dateType":"Submitted"},{"date":"2017-04-18","dateType":"Accepted"}],"language":"en","types":{"ris":"GEN","bibtex":"misc","citeproc":"article","schemaOrg":"Collection","resourceType":"Dataset series","resourceTypeGeneral":"Collection"},"relatedIdentifiers":[{"relationType":"References","relatedIdentifier":"10.1111/1752-1688.12306","resourceTypeGeneral":"JournalArticle","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":[],"formats":[],"version":"1.0","rightsList":[{"rights":"Creative Commons Zero v1.0 Universal","rightsUri":"https://creativecommons.org/publicdomain/zero/1.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc0-1.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"\u0026lt;style type=\"text/css\"\u0026gt;li, dd {margin: 0; padding: 0;line-height: 95%;}\n iframe {overflow: hidden; width: 800px; height: 500px;}\n .p {width: 800px;}\n\u0026lt;/style\u0026gt;\n\u0026lt;p id=\"top\"\u0026gt;US national wide gSSURGO based floodplain maps are developed by using Gridded Soil Survey Geographic (gSSURGO) database. Specifically, the SSURGO map units are joined to certain key attributes in the muaggatt and component tables. After joining the spatial data to \u0026amp;lsquo;muaggatt\u0026amp;rsquo; and \u0026amp;lsquo;component\u0026amp;rsquo; tables, map unit polygons are selected by the following two queries: (1) \u0026amp;quot;geomdesc\u0026amp;quot; LIKE \u0026amp;#39;%flood%\u0026amp;#39; AND \u0026amp;quot;comppct_r\u0026amp;quot; \u0026amp;gt;= 85) OR \u0026amp;quot;taxsubgrp\u0026amp;quot; LIKE \u0026amp;#39;%fluv%\u0026amp;#39;; (2) \u0026amp;ldquo;muname\u0026amp;quot; =\u0026amp;#39;Water\u0026amp;#39; OR \u0026amp;quot;flodfreqdcd\u0026amp;quot; in (\u0026amp;#39;Rare\u0026amp;#39;, \u0026amp;#39;Occasional\u0026amp;#39;, \u0026amp;#39;Frequent\u0026amp;#39;, \u0026amp;#39;Very Frequent\u0026amp;#39;)\u0026amp;quot;. 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: \u0026lt;a href=\"http://dx.doi.org/10.1111/1752-1688.12306\"\u0026gt;10.1111/1752-1688.12306\u0026lt;/a\u0026gt;\u0026lt;/p\u0026gt;\n\n\u0026lt;p\u0026gt;The following map shows a preview of the floodplain dataset. 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.\u0026lt;/p\u0026gt;\n\n\u0026lt;p\u0026gt;\u0026lt;iframe aria-label=\"US Flood Map\" src=\"https://mapsweb.lib.purdue.edu/floodplain/floodmapHTTPS.html\"\u0026gt;\u0026lt;/iframe\u0026gt;\u0026lt;/p\u0026gt;","descriptionType":"Abstract"},{"description":"This series provides shapefiles showing the natural floodplain for the United States. These floodplain polygons are extracted from the gSSURGO soil data from the Natural Resources Conservation Service (NRCS).","descriptionType":"Other"}],"geoLocations":[],"fundingReferences":[{"awardTitle":"Floodplain Mapping from Soil SSURGO Data","funderName":"Indiana Office of Community and Rural Affairs"}],"xml":"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