Trend analysis of Landsat-TM and -ETM+ imagery to monitor grazing impact in a rangeland ecosystem in Northern Greece
Identifieur interne : 000580 ( PascalFrancis/Checkpoint ); précédent : 000579; suivant : 000581Trend analysis of Landsat-TM and -ETM+ imagery to monitor grazing impact in a rangeland ecosystem in Northern Greece
Auteurs : A. Röder [Allemagne] ; Th. Udelhoven [Luxembourg (pays)] ; J. Hill [Allemagne] ; G. Del Barrio [Espagne] ; G. Tsiourlis [Grèce]Source :
- Remote sensing of environment [ 0034-4257 ] ; 2008.
Descripteurs français
- Pascal (Inist)
- Analyse tendance, LANDSAT, Télédétection spatiale, Thematic Mapper, Imagerie, Surveillance, Broutage animal, Parcours (terrain), Ecosystème, Hétérogénéité, Structure, Ressource, Pâturage, Bétail, Rotation, Tendance, Taux charge végétation, Système, Agriculture, Infrastructure, Subvention, Intensification, Extensification, Donnée spatiale, TM, ETM+, Grèce, Région Méditerranéenne.
- Wicri :
- geographic : Grèce.
English descriptors
- KwdEn :
- Browsing, Extensification, Grazing, Greece, Intensification, Landsat, Livestock, Mediterranean region, Rangeland, Space remote sensing, Spatial data, Stocking rate, Structure, System, Thematic Mapper, Trend, agriculture, ecosystems, heterogeneity, imagery, infrastructures, monitoring, resources, rotation, subsidies, trend-surface analysis.
Abstract
Mediterranean rangelands are unique marginal ecosystems, which are characterized by a highly heterogeneous structure and are often interwoven with other ecosystems. Traditionally, rangelands provided resources for livestock grazing in transhumantic rotation schemes. In recent times, there has been a trend towards semi-intensive grazing systems, which is partly connected to the European system of agricultural and infrastructural subsidies, and which effectuates both intensification and extensification. This study employed trend analysis of a remote sensing data time series for a retrospective assessment of rangeland processes, and interpreted these in the light of land-use practices and previous management interventions. We have selected a test area in Northern Greece that is representative of typical land-use transitions of the European Mediterranean. A time series of Landsat TM and ETM+ data covering the years 1984-2000 with one image per year was acquired, and for all images a geometric correction including digital elevation information and full radiative transfer modelling were carried out to attain surface reflectance data. For further analyses, proportional vegetation cover was selected as the target indicator, which was derived using Spectral Mixture Analysis. The resulting data set was used in a linear trend analysis to characterize spatio-temporal patterns of vegetation cover development. These could be interpreted based on knowledge of the local grazing regime and factors driving it, as well as using auxiliary spatial data sets. Results showed that temporal trends in the test area reflect the underlying pattern of potential livestock distribution at the per-pixel level, with a spatially differentiated pattern of both positive and negative trends in close proximity. On the other hand, no direct relation could be established between the development of vegetation cover and animal stocking rates at the community level. This suggests that this aggregation level is too coarse given the combination of highly heterogeneous landscapes with semi-intensive to intensive land tenure systems.
Affiliations:
- Allemagne, Espagne, Grèce, Luxembourg (pays)
- Rhénanie-Palatinat
- Trèves (Allemagne)
- Université de Trèves
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Pascal:09-0056568Le document en format XML
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Röder</name><affiliation wicri:level="4"><inist:fA14 i1="01"><s1>Remote Sensing Department, FB VI Geography/Geosciences, University of Trier, Campus II</s1><s2>54286 Trier</s2><s3>DEU</s3><sZ>1 aut.</sZ><sZ>3 aut.</sZ></inist:fA14><country>Allemagne</country><wicri:noRegion>54286 Trier</wicri:noRegion><wicri:noRegion>Campus II</wicri:noRegion><wicri:noRegion>54286 Trier</wicri:noRegion><orgName type="university">Université de Trèves</orgName><placeName><settlement type="city">Trèves (Allemagne)</settlement><region type="land" nuts="1">Rhénanie-Palatinat</region></placeName></affiliation></author><author><name sortKey="Udelhoven, Th" sort="Udelhoven, Th" uniqKey="Udelhoven T" first="Th." last="Udelhoven">Th. Udelhoven</name><affiliation wicri:level="1"><inist:fA14 i1="02"><s1>Centre Recherche Gabriel Lippmann</s1><s2>Esch/Alzette</s2><s3>LUX</s3><sZ>2 aut.</sZ></inist:fA14><country>Luxembourg (pays)</country><wicri:noRegion>Centre Recherche Gabriel Lippmann</wicri:noRegion></affiliation></author><author><name sortKey="Hill, J" sort="Hill, J" uniqKey="Hill J" first="J." last="Hill">J. Hill</name><affiliation wicri:level="4"><inist:fA14 i1="01"><s1>Remote Sensing Department, FB VI Geography/Geosciences, University of Trier, Campus II</s1><s2>54286 Trier</s2><s3>DEU</s3><sZ>1 aut.</sZ><sZ>3 aut.</sZ></inist:fA14><country>Allemagne</country><wicri:noRegion>54286 Trier</wicri:noRegion><wicri:noRegion>Campus II</wicri:noRegion><wicri:noRegion>54286 Trier</wicri:noRegion><orgName type="university">Université de Trèves</orgName><placeName><settlement type="city">Trèves (Allemagne)</settlement><region type="land" nuts="1">Rhénanie-Palatinat</region></placeName></affiliation></author><author><name sortKey="Del Barrio, G" sort="Del Barrio, G" uniqKey="Del Barrio G" first="G." last="Del Barrio">G. Del Barrio</name><affiliation wicri:level="1"><inist:fA14 i1="03"><s1>Estarion Experimental de Zonas Aridas (EEZA), Consejo Superior de Investigaciones Cientificas</s1><s2>Almeria</s2><s3>ESP</s3><sZ>4 aut.</sZ></inist:fA14><country>Espagne</country><wicri:noRegion>Almeria</wicri:noRegion></affiliation></author><author><name sortKey="Tsiourlis, G" sort="Tsiourlis, G" uniqKey="Tsiourlis G" first="G." last="Tsiourlis">G. Tsiourlis</name><affiliation wicri:level="1"><inist:fA14 i1="04"><s1>Forest Research Institute, Laboratory of Ecology, National Agricultural Research Foundation (NAGREF)</s1><s2>Vasilika-Thessaloniki</s2><s3>GRC</s3><sZ>5 aut.</sZ></inist:fA14><country>Grèce</country><wicri:noRegion>Vasilika-Thessaloniki</wicri:noRegion></affiliation></author></analytic><series><title level="j" type="main">Remote sensing of environment</title><title level="j" type="abbreviated">Remote sens. environ.</title><idno type="ISSN">0034-4257</idno><imprint><date when="2008">2008</date></imprint></series></biblStruct></sourceDesc><seriesStmt><title level="j" type="main">Remote sensing of environment</title><title level="j" type="abbreviated">Remote sens. environ.</title><idno type="ISSN">0034-4257</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Browsing</term><term>Extensification</term><term>Grazing</term><term>Greece</term><term>Intensification</term><term>Landsat</term><term>Livestock</term><term>Mediterranean region</term><term>Rangeland</term><term>Space remote sensing</term><term>Spatial data</term><term>Stocking rate</term><term>Structure</term><term>System</term><term>Thematic Mapper</term><term>Trend</term><term>agriculture</term><term>ecosystems</term><term>heterogeneity</term><term>imagery</term><term>infrastructures</term><term>monitoring</term><term>resources</term><term>rotation</term><term>subsidies</term><term>trend-surface analysis</term></keywords><keywords scheme="Pascal" xml:lang="fr"><term>Analyse tendance</term><term>LANDSAT</term><term>Télédétection spatiale</term><term>Thematic Mapper</term><term>Imagerie</term><term>Surveillance</term><term>Broutage animal</term><term>Parcours (terrain)</term><term>Ecosystème</term><term>Hétérogénéité</term><term>Structure</term><term>Ressource</term><term>Pâturage</term><term>Bétail</term><term>Rotation</term><term>Tendance</term><term>Taux charge végétation</term><term>Système</term><term>Agriculture</term><term>Infrastructure</term><term>Subvention</term><term>Intensification</term><term>Extensification</term><term>Donnée spatiale</term><term>TM</term><term>ETM+</term><term>Grèce</term><term>Région Méditerranéenne</term></keywords><keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>Grèce</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Mediterranean rangelands are unique marginal ecosystems, which are characterized by a highly heterogeneous structure and are often interwoven with other ecosystems. Traditionally, rangelands provided resources for livestock grazing in transhumantic rotation schemes. In recent times, there has been a trend towards semi-intensive grazing systems, which is partly connected to the European system of agricultural and infrastructural subsidies, and which effectuates both intensification and extensification. This study employed trend analysis of a remote sensing data time series for a retrospective assessment of rangeland processes, and interpreted these in the light of land-use practices and previous management interventions. We have selected a test area in Northern Greece that is representative of typical land-use transitions of the European Mediterranean. A time series of Landsat TM and ETM+ data covering the years 1984-2000 with one image per year was acquired, and for all images a geometric correction including digital elevation information and full radiative transfer modelling were carried out to attain surface reflectance data. For further analyses, proportional vegetation cover was selected as the target indicator, which was derived using Spectral Mixture Analysis. The resulting data set was used in a linear trend analysis to characterize spatio-temporal patterns of vegetation cover development. These could be interpreted based on knowledge of the local grazing regime and factors driving it, as well as using auxiliary spatial data sets. Results showed that temporal trends in the test area reflect the underlying pattern of potential livestock distribution at the per-pixel level, with a spatially differentiated pattern of both positive and negative trends in close proximity. On the other hand, no direct relation could be established between the development of vegetation cover and animal stocking rates at the community level. This suggests that this aggregation level is too coarse given the combination of highly heterogeneous landscapes with semi-intensive to intensive land tenure systems.</div></front></TEI><inist><standard h6="B"><pA><fA01 i1="01" i2="1"><s0>0034-4257</s0></fA01><fA02 i1="01"><s0>RSEEA7</s0></fA02><fA03 i2="1"><s0>Remote sens. environ.</s0></fA03><fA05><s2>112</s2></fA05><fA06><s2>6</s2></fA06><fA08 i1="01" i2="1" l="ENG"><s1>Trend analysis of Landsat-TM and -ETM+ imagery to monitor grazing impact in a rangeland ecosystem in Northern Greece</s1></fA08><fA11 i1="01" i2="1"><s1>RÖDER (A.)</s1></fA11><fA11 i1="02" i2="1"><s1>UDELHOVEN (Th.)</s1></fA11><fA11 i1="03" i2="1"><s1>HILL (J.)</s1></fA11><fA11 i1="04" i2="1"><s1>DEL BARRIO (G.)</s1></fA11><fA11 i1="05" i2="1"><s1>TSIOURLIS (G.)</s1></fA11><fA14 i1="01"><s1>Remote Sensing Department, FB VI Geography/Geosciences, University of Trier, Campus II</s1><s2>54286 Trier</s2><s3>DEU</s3><sZ>1 aut.</sZ><sZ>3 aut.</sZ></fA14><fA14 i1="02"><s1>Centre Recherche Gabriel Lippmann</s1><s2>Esch/Alzette</s2><s3>LUX</s3><sZ>2 aut.</sZ></fA14><fA14 i1="03"><s1>Estarion Experimental de Zonas Aridas (EEZA), Consejo Superior de Investigaciones Cientificas</s1><s2>Almeria</s2><s3>ESP</s3><sZ>4 aut.</sZ></fA14><fA14 i1="04"><s1>Forest Research Institute, Laboratory of Ecology, National Agricultural Research Foundation (NAGREF)</s1><s2>Vasilika-Thessaloniki</s2><s3>GRC</s3><sZ>5 aut.</sZ></fA14><fA20><s1>2863-2875</s1></fA20><fA21><s1>2008</s1></fA21><fA23 i1="01"><s0>ENG</s0></fA23><fA43 i1="01"><s1>INIST</s1><s2>14287</s2><s5>354000198028270110</s5></fA43><fA44><s0>0000</s0><s1>© 2009 INIST-CNRS. All rights reserved.</s1></fA44><fA45><s0>2 p.1/2</s0></fA45><fA47 i1="01" i2="1"><s0>09-0056568</s0></fA47><fA60><s1>P</s1></fA60><fA61><s0>A</s0></fA61><fA64 i1="01" i2="1"><s0>Remote sensing of environment</s0></fA64><fA66 i1="01"><s0>USA</s0></fA66><fC01 i1="01" l="ENG"><s0>Mediterranean rangelands are unique marginal ecosystems, which are characterized by a highly heterogeneous structure and are often interwoven with other ecosystems. Traditionally, rangelands provided resources for livestock grazing in transhumantic rotation schemes. In recent times, there has been a trend towards semi-intensive grazing systems, which is partly connected to the European system of agricultural and infrastructural subsidies, and which effectuates both intensification and extensification. This study employed trend analysis of a remote sensing data time series for a retrospective assessment of rangeland processes, and interpreted these in the light of land-use practices and previous management interventions. We have selected a test area in Northern Greece that is representative of typical land-use transitions of the European Mediterranean. A time series of Landsat TM and ETM+ data covering the years 1984-2000 with one image per year was acquired, and for all images a geometric correction including digital elevation information and full radiative transfer modelling were carried out to attain surface reflectance data. For further analyses, proportional vegetation cover was selected as the target indicator, which was derived using Spectral Mixture Analysis. The resulting data set was used in a linear trend analysis to characterize spatio-temporal patterns of vegetation cover development. These could be interpreted based on knowledge of the local grazing regime and factors driving it, as well as using auxiliary spatial data sets. Results showed that temporal trends in the test area reflect the underlying pattern of potential livestock distribution at the per-pixel level, with a spatially differentiated pattern of both positive and negative trends in close proximity. On the other hand, no direct relation could be established between the development of vegetation cover and animal stocking rates at the community level. This suggests that this aggregation level is too coarse given the combination of highly heterogeneous landscapes with semi-intensive to intensive land tenure systems.</s0></fC01><fC02 i1="01" i2="X"><s0>002A32A03</s0></fC02><fC02 i1="02" i2="2"><s0>001E01M04</s0></fC02><fC02 i1="03" i2="2"><s0>225B04</s0></fC02><fC03 i1="01" i2="2" l="FRE"><s0>Analyse tendance</s0><s5>01</s5></fC03><fC03 i1="01" i2="2" l="ENG"><s0>trend-surface analysis</s0><s5>01</s5></fC03><fC03 i1="01" i2="2" l="SPA"><s0>Análisis tendencia</s0><s5>01</s5></fC03><fC03 i1="02" i2="2" l="FRE"><s0>LANDSAT</s0><s5>02</s5></fC03><fC03 i1="02" i2="2" l="ENG"><s0>Landsat</s0><s5>02</s5></fC03><fC03 i1="03" i2="2" l="FRE"><s0>Télédétection spatiale</s0><s5>03</s5></fC03><fC03 i1="03" i2="2" l="ENG"><s0>Space remote sensing</s0><s5>03</s5></fC03><fC03 i1="03" i2="2" l="SPA"><s0>Teledetección espacial</s0><s5>03</s5></fC03><fC03 i1="04" i2="2" l="FRE"><s0>Thematic Mapper</s0><s5>04</s5></fC03><fC03 i1="04" i2="2" 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i2="2" l="FRE"><s0>TM</s0><s4>INC</s4><s5>52</s5></fC03><fC03 i1="26" i2="2" l="FRE"><s0>ETM+</s0><s4>INC</s4><s5>53</s5></fC03><fC03 i1="27" i2="2" l="FRE"><s0>Grèce</s0><s2>NG</s2><s5>61</s5></fC03><fC03 i1="27" i2="2" l="ENG"><s0>Greece</s0><s2>NG</s2><s5>61</s5></fC03><fC03 i1="27" i2="2" l="SPA"><s0>Grecia</s0><s2>NG</s2><s5>61</s5></fC03><fC03 i1="28" i2="2" l="FRE"><s0>Région Méditerranéenne</s0><s5>62</s5></fC03><fC03 i1="28" i2="2" l="ENG"><s0>Mediterranean region</s0><s5>62</s5></fC03><fC03 i1="28" i2="2" l="SPA"><s0>Region mediterranea</s0><s5>62</s5></fC03><fC07 i1="01" i2="2" l="FRE"><s0>Europe Sud</s0><s2>NG</s2></fC07><fC07 i1="01" i2="2" l="ENG"><s0>Southern Europe</s0><s2>NG</s2></fC07><fC07 i1="01" i2="2" l="SPA"><s0>Europa Sur</s0><s2>NG</s2></fC07><fC07 i1="02" i2="2" l="FRE"><s0>Europe</s0><s2>564</s2></fC07><fC07 i1="02" i2="2" l="ENG"><s0>Europe</s0><s2>564</s2></fC07><fC07 i1="02" i2="2" l="SPA"><s0>Europa</s0><s2>564</s2></fC07><fN21><s1>040</s1></fN21><fN44 i1="01"><s1>PSI</s1></fN44><fN82><s1>PSI</s1></fN82></pA></standard></inist><affiliations><list><country><li>Allemagne</li><li>Espagne</li><li>Grèce</li><li>Luxembourg (pays)</li></country><region><li>Rhénanie-Palatinat</li></region><settlement><li>Trèves (Allemagne)</li></settlement><orgName><li>Université de Trèves</li></orgName></list><tree><country name="Allemagne"><region name="Rhénanie-Palatinat"><name sortKey="Roder, A" sort="Roder, A" uniqKey="Roder A" first="A." last="Röder">A. Röder</name></region><name sortKey="Hill, J" sort="Hill, J" uniqKey="Hill J" first="J." last="Hill">J. Hill</name></country><country name="Luxembourg (pays)"><noRegion><name sortKey="Udelhoven, Th" sort="Udelhoven, Th" uniqKey="Udelhoven T" first="Th." last="Udelhoven">Th. Udelhoven</name></noRegion></country><country name="Espagne"><noRegion><name sortKey="Del Barrio, G" sort="Del Barrio, G" uniqKey="Del Barrio G" first="G." last="Del Barrio">G. Del Barrio</name></noRegion></country><country name="Grèce"><noRegion><name sortKey="Tsiourlis, G" sort="Tsiourlis, G" uniqKey="Tsiourlis G" first="G." last="Tsiourlis">G. Tsiourlis</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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|texte= Trend analysis of Landsat-TM and -ETM+ imagery to monitor grazing impact in a rangeland ecosystem in Northern Greece
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