Application of remote sensing and geographic information systems to the delineation and analysis of riparian buffer zones
Identifieur interne : 000D10 ( Istex/Corpus ); précédent : 000D09; suivant : 000D11Application of remote sensing and geographic information systems to the delineation and analysis of riparian buffer zones
Auteurs : Sunil Narumalani ; Yingchun Zhou ; John R. JensenSource :
- Aquatic Botany [ 0304-3770 ] ; 1997.
Abstract
Non-point source pollution has a significant impact on the quality of water resources. Studies have revealed that agricultural activities are often major contributors to non-point source pollution of aquatic environments. A common means of reducing the threat of non-point source pollution is through the establishment of riparian vegetation strips (or buffers) along those areas of stream channels that would be most susceptible to the threat. Remote sensing and geographic information systems (GIS) offer a means by which ‘critical’ areas can be identified, so that subsequent action toward the establishment of riparian zones can be taken. This research focuses on the development and analysis of riparian buffer zones for a portion of the Iowa River basin. Landsat Thematic Mapper (TM) data were used to characterize the land cover for the study area. An updated hydrology data layer was developed by integrating the United States Geological Survey (USGS) Digital Line Graph (DLG) data base with the TM-derived classification of surface water bodies. Spatial distance search tools were applied to develop the buffer zones around all surface hydrologic features. The buffer zones were integrated with the remotely sensed classification data to identify ‘critical’ areas for the establishment of riparian vegetation strips. Results indicated that while most of the main channel of the Iowa River was protected by natural vegetation, more than 44% (or 1008 ha) of the area along its tributaries lack any protective cover from non-point source pollution. As these ‘critical’ areas are adjacent to agricultural fields it is important that water resources management strategies focus on the establishment of riparian zones in order to minimize the impact of non-point source pollution.
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DOI: 10.1016/S0304-3770(97)00048-X
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Jensen</name><affiliation><mods:affiliation>Department of Geography, University of South Carolina, Columbia, SC 29208, USA</mods:affiliation></affiliation></author></analytic><monogr></monogr><series><title level="j">Aquatic Botany</title><title level="j" type="abbrev">AQBOT</title><idno type="ISSN">0304-3770</idno><imprint><publisher>ELSEVIER</publisher><date type="published" when="1997">1997</date><biblScope unit="volume">58</biblScope><biblScope unit="issue">3–4</biblScope><biblScope unit="page" from="393">393</biblScope><biblScope unit="page" to="409">409</biblScope></imprint><idno type="ISSN">0304-3770</idno></series><idno type="istex">F2A01D94CBA15594A29AA50A74D722C04843FBA4</idno><idno type="DOI">10.1016/S0304-3770(97)00048-X</idno><idno type="PII">S0304-3770(97)00048-X</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0304-3770</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Non-point source pollution has a significant impact on the quality of water resources. Studies have revealed that agricultural activities are often major contributors to non-point source pollution of aquatic environments. A common means of reducing the threat of non-point source pollution is through the establishment of riparian vegetation strips (or buffers) along those areas of stream channels that would be most susceptible to the threat. Remote sensing and geographic information systems (GIS) offer a means by which ‘critical’ areas can be identified, so that subsequent action toward the establishment of riparian zones can be taken. This research focuses on the development and analysis of riparian buffer zones for a portion of the Iowa River basin. Landsat Thematic Mapper (TM) data were used to characterize the land cover for the study area. An updated hydrology data layer was developed by integrating the United States Geological Survey (USGS) Digital Line Graph (DLG) data base with the TM-derived classification of surface water bodies. Spatial distance search tools were applied to develop the buffer zones around all surface hydrologic features. The buffer zones were integrated with the remotely sensed classification data to identify ‘critical’ areas for the establishment of riparian vegetation strips. Results indicated that while most of the main channel of the Iowa River was protected by natural vegetation, more than 44% (or 1008 ha) of the area along its tributaries lack any protective cover from non-point source pollution. As these ‘critical’ areas are adjacent to agricultural fields it is important that water resources management strategies focus on the establishment of riparian zones in order to minimize the impact of non-point source pollution.</div></front></TEI><istex><corpusName>elsevier</corpusName><author><json:item><name>Sunil Narumalani</name><affiliations><json:string>E-mail: sn@unlinfo.unl.edu</json:string><json:string>Department of Geography, University of Nebraska, Lincoln, NE 68588-0135, USA</json:string></affiliations></json:item><json:item><name>Yingchun Zhou</name><affiliations><json:string>Department of Geography, University of Nebraska, Lincoln, NE 68588-0135, USA</json:string></affiliations></json:item><json:item><name>John R. 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Studies have revealed that agricultural activities are often major contributors to non-point source pollution of aquatic environments. A common means of reducing the threat of non-point source pollution is through the establishment of riparian vegetation strips (or buffers) along those areas of stream channels that would be most susceptible to the threat. Remote sensing and geographic information systems (GIS) offer a means by which ‘critical’ areas can be identified, so that subsequent action toward the establishment of riparian zones can be taken. This research focuses on the development and analysis of riparian buffer zones for a portion of the Iowa River basin. Landsat Thematic Mapper (TM) data were used to characterize the land cover for the study area. An updated hydrology data layer was developed by integrating the United States Geological Survey (USGS) Digital Line Graph (DLG) data base with the TM-derived classification of surface water bodies. Spatial distance search tools were applied to develop the buffer zones around all surface hydrologic features. The buffer zones were integrated with the remotely sensed classification data to identify ‘critical’ areas for the establishment of riparian vegetation strips. Results indicated that while most of the main channel of the Iowa River was protected by natural vegetation, more than 44% (or 1008 ha) of the area along its tributaries lack any protective cover from non-point source pollution. 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Spatial distance search tools were applied to develop the buffer zones around all surface hydrologic features. The buffer zones were integrated with the remotely sensed classification data to identify ‘critical’ areas for the establishment of riparian vegetation strips. Results indicated that while most of the main channel of the Iowa River was protected by natural vegetation, more than 44% (or 1008 ha) of the area along its tributaries lack any protective cover from non-point source pollution. 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Studies have revealed that agricultural activities are often major contributors to non-point source pollution of aquatic environments. A common means of reducing the threat of non-point source pollution is through the establishment of riparian vegetation strips (or buffers) along those areas of stream channels that would be most susceptible to the threat. Remote sensing and geographic information systems (GIS) offer a means by which ‘critical’ areas can be identified, so that subsequent action toward the establishment of riparian zones can be taken. This research focuses on the development and analysis of riparian buffer zones for a portion of the Iowa River basin. Landsat Thematic Mapper (TM) data were used to characterize the land cover for the study area. An updated hydrology data layer was developed by integrating the United States Geological Survey (USGS) Digital Line Graph (DLG) data base with the TM-derived classification of surface water bodies. Spatial distance search tools were applied to develop the buffer zones around all surface hydrologic features. The buffer zones were integrated with the remotely sensed classification data to identify ‘critical’ areas for the establishment of riparian vegetation strips. Results indicated that while most of the main channel of the Iowa River was protected by natural vegetation, more than 44% (or 1008 ha) of the area along its tributaries lack any protective cover from non-point source pollution. As these ‘critical’ areas are adjacent to agricultural fields it is important that water resources management strategies focus on the establishment of riparian zones in order to minimize the impact of non-point source pollution.</ce:simple-para></ce:abstract-sec></ce:abstract><ce:keywords><ce:section-title>Keywords</ce:section-title><ce:keyword><ce:text>Remote sensing</ce:text></ce:keyword><ce:keyword><ce:text>Geographic information systems (GIS)</ce:text></ce:keyword><ce:keyword><ce:text>Riparian buffer zones</ce:text></ce:keyword><ce:keyword><ce:text>Vegetation strips</ce:text></ce:keyword><ce:keyword><ce:text>Non-point source pollution</ce:text></ce:keyword></ce:keywords></head></converted-article></istex:document></istex:metadataXml><mods version="3.6"><titleInfo><title>Application of remote sensing and geographic information systems to the delineation and analysis of riparian buffer zones</title></titleInfo><titleInfo type="alternative" contentType="CDATA"><title>Application of remote sensing and geographic information systems to the delineation and analysis of riparian buffer zones</title></titleInfo><name type="personal"><namePart type="given">Sunil</namePart><namePart type="family">Narumalani</namePart><affiliation>E-mail: sn@unlinfo.unl.edu</affiliation><affiliation>Department of Geography, University of Nebraska, Lincoln, NE 68588-0135, USA</affiliation><description>Corresponding author: Tel.: +1 402 4729842; fax: +1 402 4721185</description><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Yingchun</namePart><namePart type="family">Zhou</namePart><affiliation>Department of Geography, University of Nebraska, Lincoln, NE 68588-0135, USA</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">John R.</namePart><namePart type="family">Jensen</namePart><affiliation>Department of Geography, University of South Carolina, Columbia, SC 29208, USA</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="research-article" displayLabel="Full-length article"></genre><originInfo><publisher>ELSEVIER</publisher><dateIssued encoding="w3cdtf">1997</dateIssued><copyrightDate encoding="w3cdtf">1997</copyrightDate></originInfo><language><languageTerm type="code" authority="iso639-2b">eng</languageTerm><languageTerm type="code" authority="rfc3066">en</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType></physicalDescription><abstract lang="en">Non-point source pollution has a significant impact on the quality of water resources. Studies have revealed that agricultural activities are often major contributors to non-point source pollution of aquatic environments. A common means of reducing the threat of non-point source pollution is through the establishment of riparian vegetation strips (or buffers) along those areas of stream channels that would be most susceptible to the threat. Remote sensing and geographic information systems (GIS) offer a means by which ‘critical’ areas can be identified, so that subsequent action toward the establishment of riparian zones can be taken. This research focuses on the development and analysis of riparian buffer zones for a portion of the Iowa River basin. Landsat Thematic Mapper (TM) data were used to characterize the land cover for the study area. An updated hydrology data layer was developed by integrating the United States Geological Survey (USGS) Digital Line Graph (DLG) data base with the TM-derived classification of surface water bodies. Spatial distance search tools were applied to develop the buffer zones around all surface hydrologic features. The buffer zones were integrated with the remotely sensed classification data to identify ‘critical’ areas for the establishment of riparian vegetation strips. Results indicated that while most of the main channel of the Iowa River was protected by natural vegetation, more than 44% (or 1008 ha) of the area along its tributaries lack any protective cover from non-point source pollution. As these ‘critical’ areas are adjacent to agricultural fields it is important that water resources management strategies focus on the establishment of riparian zones in order to minimize the impact of non-point source pollution.</abstract><subject><genre>Keywords</genre><topic>Remote sensing</topic><topic>Geographic information systems (GIS)</topic><topic>Riparian buffer zones</topic><topic>Vegetation strips</topic><topic>Non-point source pollution</topic></subject><relatedItem type="host"><titleInfo><title>Aquatic Botany</title></titleInfo><titleInfo type="abbreviated"><title>AQBOT</title></titleInfo><genre type="journal">journal</genre><originInfo><dateIssued encoding="w3cdtf">199710</dateIssued></originInfo><identifier type="ISSN">0304-3770</identifier><identifier type="PII">S0304-3770(00)X0024-1</identifier><part><date>199710</date><detail type="issue"><title>Geographic information systems and remote sensing in Aquatic Botany</title></detail><detail type="volume"><number>58</number><caption>vol.</caption></detail><detail type="issue"><number>3–4</number><caption>no.</caption></detail><extent unit="issue pages"><start>195</start><end>442</end></extent><extent unit="pages"><start>393</start><end>409</end></extent></part></relatedItem><identifier type="istex">F2A01D94CBA15594A29AA50A74D722C04843FBA4</identifier><identifier type="DOI">10.1016/S0304-3770(97)00048-X</identifier><identifier type="PII">S0304-3770(97)00048-X</identifier><recordInfo><recordContentSource>ELSEVIER</recordContentSource></recordInfo></mods></metadata><serie></serie></istex></record>Pour manipuler ce document sous Unix (Dilib)
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