Using the Remote Sensing and GIS Technology for Erosion Risk Mapping of Kartalkaya Dam Watershed in Kahramanmaras, Turkey.
Identifieur interne : 000318 ( PubMed/Corpus ); précédent : 000317; suivant : 000319Using the Remote Sensing and GIS Technology for Erosion Risk Mapping of Kartalkaya Dam Watershed in Kahramanmaras, Turkey.
Auteurs : Alaaddin Yuksel ; Recep Gundogan ; Abdullah E. AkaySource :
- Sensors (Basel, Switzerland) [ 1424-8220 ] ; 2008.
Abstract
The soil erosion is the most serious environmental problem in watershed areas in Turkey. The main factors affecting the amount of soil erosion include vegetation cover, topography, soil, and climate. In order to describe the areas with high soil erosion risks and to develop adequate erosion prevention measures in the watersheds of dams, erosion risk maps should be generated considering these factors. Remote Sensing (RS) and Geographic Information System (GIS) technologies were used for erosion risk mapping in Kartalkaya Dam Watershed of Kahramanmaras, Turkey, based on the methodology implemented in COoRdination of INformation on the Environment (CORINE) model. ASTER imagery was used to generate a land use/cover classification in ERDAS Imagine. The digital maps of the other factors (topography, soil types, and climate) were generated in ArcGIS v9.2, and were then integrated as CORINE input files to produce erosion risk maps. The results indicate that 33.82%, 35.44%, and 30.74% of the study area were under low, moderate, and high actual erosion risks, respectively. The CORINE model integrated with RS and GIS technologies has great potential for producing accurate and inexpensive erosion risk maps in Turkey.
DOI: 10.3390/s8084851
PubMed: 27873789
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Akay</name><affiliation><nlm:affiliation>Kahramanmaras Sutcu Imam University, Faculty of Forestry , Department of Forest Engineering, 46060, Kahramanmaras, Turkey. akay@ksu.edu.tr.</nlm:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2008">2008</date><idno type="RBID">pubmed:27873789</idno><idno type="pmid">27873789</idno><idno type="doi">10.3390/s8084851</idno><idno type="wicri:Area/PubMed/Corpus">000318</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000318</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Using the Remote Sensing and GIS Technology for Erosion Risk Mapping of Kartalkaya Dam Watershed in Kahramanmaras, Turkey.</title><author><name sortKey="Yuksel, Alaaddin" sort="Yuksel, Alaaddin" uniqKey="Yuksel A" first="Alaaddin" last="Yuksel">Alaaddin Yuksel</name><affiliation><nlm:affiliation>Kahramanmaras Sutcu Imam University, Faculty of Forestry , Department of Forest Engineering, 46060, Kahramanmaras, Turkey. ayuksel@ksu.edu.tr.</nlm:affiliation></affiliation></author><author><name sortKey="Gundogan, Recep" sort="Gundogan, Recep" uniqKey="Gundogan R" first="Recep" last="Gundogan">Recep Gundogan</name><affiliation><nlm:affiliation>Kahramanmaras Sutcu Imam University, Faculty of Agriculture, Department of Soil Science, 46060, Kahramanmaras, Turkey. rgundogan@ksu.edu.tr.</nlm:affiliation></affiliation></author><author><name sortKey="Akay, Abdullah E" sort="Akay, Abdullah E" uniqKey="Akay A" first="Abdullah E" last="Akay">Abdullah E. Akay</name><affiliation><nlm:affiliation>Kahramanmaras Sutcu Imam University, Faculty of Forestry , Department of Forest Engineering, 46060, Kahramanmaras, Turkey. akay@ksu.edu.tr.</nlm:affiliation></affiliation></author></analytic><series><title level="j">Sensors (Basel, Switzerland)</title><idno type="eISSN">1424-8220</idno><imprint><date when="2008" type="published">2008</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The soil erosion is the most serious environmental problem in watershed areas in Turkey. The main factors affecting the amount of soil erosion include vegetation cover, topography, soil, and climate. In order to describe the areas with high soil erosion risks and to develop adequate erosion prevention measures in the watersheds of dams, erosion risk maps should be generated considering these factors. Remote Sensing (RS) and Geographic Information System (GIS) technologies were used for erosion risk mapping in Kartalkaya Dam Watershed of Kahramanmaras, Turkey, based on the methodology implemented in COoRdination of INformation on the Environment (CORINE) model. ASTER imagery was used to generate a land use/cover classification in ERDAS Imagine. The digital maps of the other factors (topography, soil types, and climate) were generated in ArcGIS v9.2, and were then integrated as CORINE input files to produce erosion risk maps. The results indicate that 33.82%, 35.44%, and 30.74% of the study area were under low, moderate, and high actual erosion risks, respectively. The CORINE model integrated with RS and GIS technologies has great potential for producing accurate and inexpensive erosion risk maps in Turkey.</div></front></TEI><pubmed><MedlineCitation Status="PubMed-not-MEDLINE" Owner="NLM"><PMID Version="1">27873789</PMID><DateCreated><Year>2016</Year><Month>11</Month><Day>22</Day></DateCreated><DateRevised><Year>2017</Year><Month>02</Month><Day>08</Day></DateRevised><Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">1424-8220</ISSN><JournalIssue CitedMedium="Internet"><Volume>8</Volume><Issue>8</Issue><PubDate><Year>2008</Year><Month>Aug</Month><Day>21</Day></PubDate></JournalIssue><Title>Sensors (Basel, Switzerland)</Title><ISOAbbreviation>Sensors (Basel)</ISOAbbreviation></Journal><ArticleTitle>Using the Remote Sensing and GIS Technology for Erosion Risk Mapping of Kartalkaya Dam Watershed in Kahramanmaras, Turkey.</ArticleTitle><Pagination><MedlinePgn>4851-4865</MedlinePgn></Pagination><Abstract><AbstractText NlmCategory="UNASSIGNED">The soil erosion is the most serious environmental problem in watershed areas in Turkey. The main factors affecting the amount of soil erosion include vegetation cover, topography, soil, and climate. In order to describe the areas with high soil erosion risks and to develop adequate erosion prevention measures in the watersheds of dams, erosion risk maps should be generated considering these factors. Remote Sensing (RS) and Geographic Information System (GIS) technologies were used for erosion risk mapping in Kartalkaya Dam Watershed of Kahramanmaras, Turkey, based on the methodology implemented in COoRdination of INformation on the Environment (CORINE) model. ASTER imagery was used to generate a land use/cover classification in ERDAS Imagine. The digital maps of the other factors (topography, soil types, and climate) were generated in ArcGIS v9.2, and were then integrated as CORINE input files to produce erosion risk maps. The results indicate that 33.82%, 35.44%, and 30.74% of the study area were under low, moderate, and high actual erosion risks, respectively. The CORINE model integrated with RS and GIS technologies has great potential for producing accurate and inexpensive erosion risk maps in Turkey.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Yuksel</LastName><ForeName>Alaaddin</ForeName><Initials>A</Initials><AffiliationInfo><Affiliation>Kahramanmaras Sutcu Imam University, Faculty of Forestry , Department of Forest Engineering, 46060, Kahramanmaras, Turkey. ayuksel@ksu.edu.tr.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Gundogan</LastName><ForeName>Recep</ForeName><Initials>R</Initials><AffiliationInfo><Affiliation>Kahramanmaras Sutcu Imam University, Faculty of Agriculture, Department of Soil Science, 46060, Kahramanmaras, Turkey. rgundogan@ksu.edu.tr.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Akay</LastName><ForeName>Abdullah E</ForeName><Initials>AE</Initials><AffiliationInfo><Affiliation>Kahramanmaras Sutcu Imam University, Faculty of Forestry , Department of Forest Engineering, 46060, Kahramanmaras, Turkey. akay@ksu.edu.tr.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2008</Year><Month>08</Month><Day>21</Day></ArticleDate></Article><MedlineJournalInfo><Country>Switzerland</Country><MedlineTA>Sensors (Basel)</MedlineTA><NlmUniqueID>101204366</NlmUniqueID><ISSNLinking>1424-8220</ISSNLinking></MedlineJournalInfo><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">CORINE</Keyword><Keyword MajorTopicYN="N">GIS</Keyword><Keyword MajorTopicYN="N">Kartalkaya Dam Watershed</Keyword><Keyword MajorTopicYN="N">RS</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2008</Year><Month>06</Month><Day>11</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2008</Year><Month>07</Month><Day>20</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2008</Year><Month>07</Month><Day>24</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2016</Year><Month>11</Month><Day>23</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2008</Year><Month>8</Month><Day>21</Day><Hour>0</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2008</Year><Month>8</Month><Day>21</Day><Hour>0</Hour><Minute>1</Minute></PubMedPubDate></History><PublicationStatus>epublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">27873789</ArticleId><ArticleId IdType="pii">s8084851</ArticleId><ArticleId IdType="doi">10.3390/s8084851</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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