UnivTrevesV1, PascalFrancis, Corpus, bibRecord, 000E65

Mapping complex patterns of erosion and stability in dry mediterranean ecosystems

Identifieur interne : 000E65 ( PascalFrancis/Corpus ); précédent : 000E64; suivant : 000E66

Mapping complex patterns of erosion and stability in dry mediterranean ecosystems

Auteurs : Joachim Hill ; Brigitta Schütt

Source :

Remote sensing of environment [ 0034-4257 ] ; 2000.

RBID : Pascal:01-0086123

Descripteurs français

Pascal (Inist)
- Espagne, Province Murcia, Zone méditerranéenne, Province Almeria, Matière organique, Erosion sol, Ecosystème, Pouvoir réflecteur, Cartographie, Carbone organique, Concentration, Sol, Modèle, Précision, Méthode satellite, LANDSAT, Imagerie, Thematic Mapper, Agriculture, Indicateur, Dégradation, Télédétection spatiale.

English descriptors

KwdEn :
- Almeria Spain, Landsat, Mediterranean zone, Murcia Spain, Space remote sensing, Spain, Thematic Mapper, accuracy, agriculture, cartography, concentration, degradation, ecosystems, imagery, indicators, models, organic carbon, organic materials, reflectance, satellite methods, soil erosion, soils.

Abstract

Parametrizing soil reflectance spectra with variables related to specific shape characteristics of the spectral profile permits organic carbon concentrations in soils to be estimated on the basis of regionally validated regression models. An important feature of the approach is that it can not only be applied to continuous spectra but, without notable loss in accuracy, also to the spectral resolution of operational earth observation satellites such as the Landsat-TM or -ETM systems. Using this type of imagery, it can also be shown that soil organic matter is positively correlated to growth conditions for cereal crops in dryland agriculture. Strong correlations with qualitative erosion indicators that can be derived through spectral unmixing approaches demonstrate that soil organic matter is an important indicator for assessing land degradation processes in dry ecosystems from space.

Notice en format standard (ISO 2709)

Pour connaître la documentation sur le format Inist Standard.

A01	`01`	`1`		`@0 0034-4257`
A02	`01`			`@0 RSEEA7`
A03		`1`		`@0 Remote sens. environ.`
A05				`@2 74`
A06				`@2 3`
A08	`01`	`1`	`ENG`	`@1 Mapping complex patterns of erosion and stability in dry mediterranean ecosystems`
A11	`01`	`1`		`@1 HILL (Joachim)`
A11	`02`	`1`		`@1 SCHÜTT (Brigitta)`
A14	`01`			`@1 Remote Sensing Department, University of Trier @2 Trier @3 DEU @Z 1 aut.`
A14	`02`			`@1 Department of Physical Geography, University of Trier @2 Trier @3 DEU @Z 2 aut.`
A20				`@1 557-569`
A21				`@1 2000`
A23	`01`			`@0 ENG`
A43	`01`			`@1 INIST @2 14287 @5 354000093843230200`
A44				`@0 0000 @1 © 2001 INIST-CNRS. All rights reserved.`
A45				`@0 1 p.1/4`
A47	`01`	`1`		`@0 01-0086123`
A60				`@1 P`
A61				`@0 A`
A64	`01`	`1`		`@0 Remote sensing of environment`
A66	`01`			`@0 USA`
C01	`01`		`ENG`	@0 Parametrizing soil reflectance spectra with variables related to specific shape characteristics of the spectral profile permits organic carbon concentrations in soils to be estimated on the basis of regionally validated regression models. An important feature of the approach is that it can not only be applied to continuous spectra but, without notable loss in accuracy, also to the spectral resolution of operational earth observation satellites such as the Landsat-TM or -ETM systems. Using this type of imagery, it can also be shown that soil organic matter is positively correlated to growth conditions for cereal crops in dryland agriculture. Strong correlations with qualitative erosion indicators that can be derived through spectral unmixing approaches demonstrate that soil organic matter is an important indicator for assessing land degradation processes in dry ecosystems from space.
C02	`01`	`2`		`@0 225B04`
C02	`02`	`2`		`@0 224B02`
C02	`03`	`X`		`@0 001E01M04`
C02	`04`	`X`		`@0 001E01J02`
C03	`01`	`2`	`FRE`	`@0 Espagne @2 NG @5 01`
C03	`01`	`2`	`ENG`	`@0 Spain @2 NG @5 01`
C03	`01`	`2`	`SPA`	`@0 España @2 NG @5 01`
C03	`02`	`2`	`FRE`	`@0 Province Murcia @2 NG @5 02`
C03	`02`	`2`	`ENG`	`@0 Murcia Spain @2 NG @5 02`
C03	`02`	`2`	`SPA`	`@0 Provincia Murcia @2 NG @5 02`
C03	`03`	`2`	`FRE`	`@0 Zone méditerranéenne @5 03`
C03	`03`	`2`	`ENG`	`@0 Mediterranean zone @5 03`
C03	`04`	`2`	`FRE`	`@0 Province Almeria @2 NG @5 04`
C03	`04`	`2`	`ENG`	`@0 Almeria Spain @2 NG @5 04`
C03	`04`	`2`	`SPA`	`@0 Provincia Almería @2 NG @5 04`
C03	`05`	`2`	`FRE`	`@0 Matière organique @5 05`
C03	`05`	`2`	`ENG`	`@0 organic materials @5 05`
C03	`05`	`2`	`SPA`	`@0 Materia orgánica @5 05`
C03	`06`	`2`	`FRE`	`@0 Erosion sol @5 06`
C03	`06`	`2`	`ENG`	`@0 soil erosion @5 06`
C03	`06`	`2`	`SPA`	`@0 Erosión suelo @5 06`
C03	`07`	`2`	`FRE`	`@0 Ecosystème @5 08`
C03	`07`	`2`	`ENG`	`@0 ecosystems @5 08`
C03	`07`	`2`	`SPA`	`@0 Ecosistema @5 08`
C03	`08`	`2`	`FRE`	`@0 Pouvoir réflecteur @5 09`
C03	`08`	`2`	`ENG`	`@0 reflectance @5 09`
C03	`08`	`2`	`SPA`	`@0 Poder reflector @5 09`
C03	`09`	`2`	`FRE`	`@0 Cartographie @5 10`
C03	`09`	`2`	`ENG`	`@0 cartography @5 10`
C03	`09`	`2`	`SPA`	`@0 Cartografía @5 10`
C03	`10`	`2`	`FRE`	`@0 Carbone organique @5 11`
C03	`10`	`2`	`ENG`	`@0 organic carbon @5 11`
C03	`10`	`2`	`SPA`	`@0 Carbono orgánico @5 11`
C03	`11`	`2`	`FRE`	`@0 Concentration @5 12`
C03	`11`	`2`	`ENG`	`@0 concentration @5 12`
C03	`11`	`2`	`SPA`	`@0 Concentración @5 12`
C03	`12`	`2`	`FRE`	`@0 Sol @5 13`
C03	`12`	`2`	`ENG`	`@0 soils @5 13`
C03	`12`	`2`	`SPA`	`@0 Suelo @5 13`
C03	`13`	`2`	`FRE`	`@0 Modèle @5 15`
C03	`13`	`2`	`ENG`	`@0 models @5 15`
C03	`13`	`2`	`SPA`	`@0 Modelo @5 15`
C03	`14`	`2`	`FRE`	`@0 Précision @5 16`
C03	`14`	`2`	`ENG`	`@0 accuracy @5 16`
C03	`14`	`2`	`SPA`	`@0 Precisión @5 16`
C03	`15`	`2`	`FRE`	`@0 Méthode satellite @5 18`
C03	`15`	`2`	`ENG`	`@0 satellite methods @5 18`
C03	`15`	`2`	`SPA`	`@0 Satélite artificial @5 18`
C03	`16`	`2`	`FRE`	`@0 LANDSAT @5 19`
C03	`16`	`2`	`ENG`	`@0 Landsat @5 19`
C03	`17`	`2`	`FRE`	`@0 Imagerie @5 20`
C03	`17`	`2`	`ENG`	`@0 imagery @5 20`
C03	`17`	`2`	`SPA`	`@0 Imaginería @5 20`
C03	`18`	`2`	`FRE`	`@0 Thematic Mapper @5 21`
C03	`18`	`2`	`ENG`	`@0 Thematic Mapper @5 21`
C03	`19`	`2`	`FRE`	`@0 Agriculture @5 22`
C03	`19`	`2`	`ENG`	`@0 agriculture @5 22`
C03	`19`	`2`	`SPA`	`@0 Agricultura @5 22`
C03	`20`	`2`	`FRE`	`@0 Indicateur @5 24`
C03	`20`	`2`	`ENG`	`@0 indicators @5 24`
C03	`21`	`2`	`FRE`	`@0 Dégradation @5 25`
C03	`21`	`2`	`ENG`	`@0 degradation @5 25`
C03	`22`	`2`	`FRE`	`@0 Télédétection spatiale @5 62`
C03	`22`	`2`	`ENG`	`@0 Space remote sensing @5 62`
C03	`22`	`2`	`SPA`	`@0 Teledetección espacial @5 62`
C06				`@0 ILS @0 TA`
C07	`01`	`2`	`FRE`	`@0 Péninsule Ibérique @2 NG`
C07	`01`	`2`	`ENG`	`@0 Iberian Peninsula @2 NG`
C07	`01`	`2`	`SPA`	`@0 Península ibérica @2 NG`
C07	`02`	`2`	`FRE`	`@0 Europe Sud @2 NG`
C07	`02`	`2`	`ENG`	`@0 Southern Europe @2 NG`
C07	`02`	`2`	`SPA`	`@0 Europa Sur @2 NG`
C07	`03`	`2`	`FRE`	`@0 Europe`
C07	`03`	`2`	`ENG`	`@0 Europe`
C07	`03`	`2`	`SPA`	`@0 Europa`
C07	`04`	`2`	`FRE`	`@0 Murcie @2 NG`
C07	`04`	`2`	`ENG`	`@0 Murcia region @2 NG`
C07	`04`	`2`	`SPA`	`@0 Murcia @2 NG`
N21				`@1 063`

Format Inist (serveur)

NO :	PASCAL 01-0086123 INIST
ET :	Mapping complex patterns of erosion and stability in dry mediterranean ecosystems
AU :	HILL (Joachim); SCHÜTT (Brigitta)
AF :	Remote Sensing Department, University of Trier/Trier/Allemagne (1 aut.); Department of Physical Geography, University of Trier/Trier/Allemagne (2 aut.)
DT :	Publication en série; Niveau analytique
SO :	Remote sensing of environment; ISSN 0034-4257; Coden RSEEA7; Etats-Unis; Da. 2000; Vol. 74; No. 3; Pp. 557-569; Bibl. 1 p.1/4
LA :	Anglais
EA :	Parametrizing soil reflectance spectra with variables related to specific shape characteristics of the spectral profile permits organic carbon concentrations in soils to be estimated on the basis of regionally validated regression models. An important feature of the approach is that it can not only be applied to continuous spectra but, without notable loss in accuracy, also to the spectral resolution of operational earth observation satellites such as the Landsat-TM or -ETM systems. Using this type of imagery, it can also be shown that soil organic matter is positively correlated to growth conditions for cereal crops in dryland agriculture. Strong correlations with qualitative erosion indicators that can be derived through spectral unmixing approaches demonstrate that soil organic matter is an important indicator for assessing land degradation processes in dry ecosystems from space.
CC :	225B04; 224B02; 001E01M04; 001E01J02
FD :	Espagne; Province Murcia; Zone méditerranéenne; Province Almeria; Matière organique; Erosion sol; Ecosystème; Pouvoir réflecteur; Cartographie; Carbone organique; Concentration; Sol; Modèle; Précision; Méthode satellite; LANDSAT; Imagerie; Thematic Mapper; Agriculture; Indicateur; Dégradation; Télédétection spatiale
FG :	Péninsule Ibérique; Europe Sud; Europe; Murcie
ED :	Spain; Murcia Spain; Mediterranean zone; Almeria Spain; organic materials; soil erosion; ecosystems; reflectance; cartography; organic carbon; concentration; soils; models; accuracy; satellite methods; Landsat; imagery; Thematic Mapper; agriculture; indicators; degradation; Space remote sensing
EG :	Iberian Peninsula; Southern Europe; Europe; Murcia region
SD :	España; Provincia Murcia; Provincia Almería; Materia orgánica; Erosión suelo; Ecosistema; Poder reflector; Cartografía; Carbono orgánico; Concentración; Suelo; Modelo; Precisión; Satélite artificial; Imaginería; Agricultura; Teledetección espacial
LO :	INIST-14287.354000093843230200
ID :	01-0086123

Links to Exploration step

Pascal:01-0086123

Le document en format XML

<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en" level="a">Mapping complex patterns of erosion and stability in dry mediterranean ecosystems</title>
<author><name sortKey="Hill, Joachim" sort="Hill, Joachim" uniqKey="Hill J" first="Joachim" last="Hill">Joachim Hill</name>
<affiliation><inist:fA14 i1="01"><s1>Remote Sensing Department, University of Trier</s1>
<s2>Trier</s2>
<s3>DEU</s3>
<sZ>1 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
<author><name sortKey="Schutt, Brigitta" sort="Schutt, Brigitta" uniqKey="Schutt B" first="Brigitta" last="Schütt">Brigitta Schütt</name>
<affiliation><inist:fA14 i1="02"><s1>Department of Physical Geography, University of Trier</s1>
<s2>Trier</s2>
<s3>DEU</s3>
<sZ>2 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">INIST</idno>
<idno type="inist">01-0086123</idno>
<date when="2000">2000</date>
<idno type="stanalyst">PASCAL 01-0086123 INIST</idno>
<idno type="RBID">Pascal:01-0086123</idno>
<idno type="wicri:Area/PascalFrancis/Corpus">000E65</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a">Mapping complex patterns of erosion and stability in dry mediterranean ecosystems</title>
<author><name sortKey="Hill, Joachim" sort="Hill, Joachim" uniqKey="Hill J" first="Joachim" last="Hill">Joachim Hill</name>
<affiliation><inist:fA14 i1="01"><s1>Remote Sensing Department, University of Trier</s1>
<s2>Trier</s2>
<s3>DEU</s3>
<sZ>1 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
<author><name sortKey="Schutt, Brigitta" sort="Schutt, Brigitta" uniqKey="Schutt B" first="Brigitta" last="Schütt">Brigitta Schütt</name>
<affiliation><inist:fA14 i1="02"><s1>Department of Physical Geography, University of Trier</s1>
<s2>Trier</s2>
<s3>DEU</s3>
<sZ>2 aut.</sZ>
</inist:fA14>
</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="2000">2000</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>Almeria Spain</term>
<term>Landsat</term>
<term>Mediterranean zone</term>
<term>Murcia Spain</term>
<term>Space remote sensing</term>
<term>Spain</term>
<term>Thematic Mapper</term>
<term>accuracy</term>
<term>agriculture</term>
<term>cartography</term>
<term>concentration</term>
<term>degradation</term>
<term>ecosystems</term>
<term>imagery</term>
<term>indicators</term>
<term>models</term>
<term>organic carbon</term>
<term>organic materials</term>
<term>reflectance</term>
<term>satellite methods</term>
<term>soil erosion</term>
<term>soils</term>
</keywords>
<keywords scheme="Pascal" xml:lang="fr"><term>Espagne</term>
<term>Province Murcia</term>
<term>Zone méditerranéenne</term>
<term>Province Almeria</term>
<term>Matière organique</term>
<term>Erosion sol</term>
<term>Ecosystème</term>
<term>Pouvoir réflecteur</term>
<term>Cartographie</term>
<term>Carbone organique</term>
<term>Concentration</term>
<term>Sol</term>
<term>Modèle</term>
<term>Précision</term>
<term>Méthode satellite</term>
<term>LANDSAT</term>
<term>Imagerie</term>
<term>Thematic Mapper</term>
<term>Agriculture</term>
<term>Indicateur</term>
<term>Dégradation</term>
<term>Télédétection spatiale</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en">Parametrizing soil reflectance spectra with variables related to specific shape characteristics of the spectral profile permits organic carbon concentrations in soils to be estimated on the basis of regionally validated regression models. An important feature of the approach is that it can not only be applied to continuous spectra but, without notable loss in accuracy, also to the spectral resolution of operational earth observation satellites such as the Landsat-TM or -ETM systems. Using this type of imagery, it can also be shown that soil organic matter is positively correlated to growth conditions for cereal crops in dryland agriculture. Strong correlations with qualitative erosion indicators that can be derived through spectral unmixing approaches demonstrate that soil organic matter is an important indicator for assessing land degradation processes in dry ecosystems from space.</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>74</s2>
</fA05>
<fA06><s2>3</s2>
</fA06>
<fA08 i1="01" i2="1" l="ENG"><s1>Mapping complex patterns of erosion and stability in dry mediterranean ecosystems</s1>
</fA08>
<fA11 i1="01" i2="1"><s1>HILL (Joachim)</s1>
</fA11>
<fA11 i1="02" i2="1"><s1>SCHÜTT (Brigitta)</s1>
</fA11>
<fA14 i1="01"><s1>Remote Sensing Department, University of Trier</s1>
<s2>Trier</s2>
<s3>DEU</s3>
<sZ>1 aut.</sZ>
</fA14>
<fA14 i1="02"><s1>Department of Physical Geography, University of Trier</s1>
<s2>Trier</s2>
<s3>DEU</s3>
<sZ>2 aut.</sZ>
</fA14>
<fA20><s1>557-569</s1>
</fA20>
<fA21><s1>2000</s1>
</fA21>
<fA23 i1="01"><s0>ENG</s0>
</fA23>
<fA43 i1="01"><s1>INIST</s1>
<s2>14287</s2>
<s5>354000093843230200</s5>
</fA43>
<fA44><s0>0000</s0>
<s1>© 2001 INIST-CNRS. All rights reserved.</s1>
</fA44>
<fA45><s0>1 p.1/4</s0>
</fA45>
<fA47 i1="01" i2="1"><s0>01-0086123</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>Parametrizing soil reflectance spectra with variables related to specific shape characteristics of the spectral profile permits organic carbon concentrations in soils to be estimated on the basis of regionally validated regression models. An important feature of the approach is that it can not only be applied to continuous spectra but, without notable loss in accuracy, also to the spectral resolution of operational earth observation satellites such as the Landsat-TM or -ETM systems. Using this type of imagery, it can also be shown that soil organic matter is positively correlated to growth conditions for cereal crops in dryland agriculture. Strong correlations with qualitative erosion indicators that can be derived through spectral unmixing approaches demonstrate that soil organic matter is an important indicator for assessing land degradation processes in dry ecosystems from space.</s0>
</fC01>
<fC02 i1="01" i2="2"><s0>225B04</s0>
</fC02>
<fC02 i1="02" i2="2"><s0>224B02</s0>
</fC02>
<fC02 i1="03" i2="X"><s0>001E01M04</s0>
</fC02>
<fC02 i1="04" i2="X"><s0>001E01J02</s0>
</fC02>
<fC03 i1="01" i2="2" l="FRE"><s0>Espagne</s0>
<s2>NG</s2>
<s5>01</s5>
</fC03>
<fC03 i1="01" i2="2" l="ENG"><s0>Spain</s0>
<s2>NG</s2>
<s5>01</s5>
</fC03>
<fC03 i1="01" i2="2" l="SPA"><s0>España</s0>
<s2>NG</s2>
<s5>01</s5>
</fC03>
<fC03 i1="02" i2="2" l="FRE"><s0>Province Murcia</s0>
<s2>NG</s2>
<s5>02</s5>
</fC03>
<fC03 i1="02" i2="2" l="ENG"><s0>Murcia Spain</s0>
<s2>NG</s2>
<s5>02</s5>
</fC03>
<fC03 i1="02" i2="2" l="SPA"><s0>Provincia Murcia</s0>
<s2>NG</s2>
<s5>02</s5>
</fC03>
<fC03 i1="03" i2="2" l="FRE"><s0>Zone méditerranéenne</s0>
<s5>03</s5>
</fC03>
<fC03 i1="03" i2="2" l="ENG"><s0>Mediterranean zone</s0>
<s5>03</s5>
</fC03>
<fC03 i1="04" i2="2" l="FRE"><s0>Province Almeria</s0>
<s2>NG</s2>
<s5>04</s5>
</fC03>
<fC03 i1="04" i2="2" l="ENG"><s0>Almeria Spain</s0>
<s2>NG</s2>
<s5>04</s5>
</fC03>
<fC03 i1="04" i2="2" l="SPA"><s0>Provincia Almería</s0>
<s2>NG</s2>
<s5>04</s5>
</fC03>
<fC03 i1="05" i2="2" l="FRE"><s0>Matière organique</s0>
<s5>05</s5>
</fC03>
<fC03 i1="05" i2="2" l="ENG"><s0>organic materials</s0>
<s5>05</s5>
</fC03>
<fC03 i1="05" i2="2" l="SPA"><s0>Materia orgánica</s0>
<s5>05</s5>
</fC03>
<fC03 i1="06" i2="2" l="FRE"><s0>Erosion sol</s0>
<s5>06</s5>
</fC03>
<fC03 i1="06" i2="2" l="ENG"><s0>soil erosion</s0>
<s5>06</s5>
</fC03>
<fC03 i1="06" i2="2" l="SPA"><s0>Erosión suelo</s0>
<s5>06</s5>
</fC03>
<fC03 i1="07" i2="2" l="FRE"><s0>Ecosystème</s0>
<s5>08</s5>
</fC03>
<fC03 i1="07" i2="2" l="ENG"><s0>ecosystems</s0>
<s5>08</s5>
</fC03>
<fC03 i1="07" i2="2" l="SPA"><s0>Ecosistema</s0>
<s5>08</s5>
</fC03>
<fC03 i1="08" i2="2" l="FRE"><s0>Pouvoir réflecteur</s0>
<s5>09</s5>
</fC03>
<fC03 i1="08" i2="2" l="ENG"><s0>reflectance</s0>
<s5>09</s5>
</fC03>
<fC03 i1="08" i2="2" l="SPA"><s0>Poder reflector</s0>
<s5>09</s5>
</fC03>
<fC03 i1="09" i2="2" l="FRE"><s0>Cartographie</s0>
<s5>10</s5>
</fC03>
<fC03 i1="09" i2="2" l="ENG"><s0>cartography</s0>
<s5>10</s5>
</fC03>
<fC03 i1="09" i2="2" l="SPA"><s0>Cartografía</s0>
<s5>10</s5>
</fC03>
<fC03 i1="10" i2="2" l="FRE"><s0>Carbone organique</s0>
<s5>11</s5>
</fC03>
<fC03 i1="10" i2="2" l="ENG"><s0>organic carbon</s0>
<s5>11</s5>
</fC03>
<fC03 i1="10" i2="2" l="SPA"><s0>Carbono orgánico</s0>
<s5>11</s5>
</fC03>
<fC03 i1="11" i2="2" l="FRE"><s0>Concentration</s0>
<s5>12</s5>
</fC03>
<fC03 i1="11" i2="2" l="ENG"><s0>concentration</s0>
<s5>12</s5>
</fC03>
<fC03 i1="11" i2="2" l="SPA"><s0>Concentración</s0>
<s5>12</s5>
</fC03>
<fC03 i1="12" i2="2" l="FRE"><s0>Sol</s0>
<s5>13</s5>
</fC03>
<fC03 i1="12" i2="2" l="ENG"><s0>soils</s0>
<s5>13</s5>
</fC03>
<fC03 i1="12" i2="2" l="SPA"><s0>Suelo</s0>
<s5>13</s5>
</fC03>
<fC03 i1="13" i2="2" l="FRE"><s0>Modèle</s0>
<s5>15</s5>
</fC03>
<fC03 i1="13" i2="2" l="ENG"><s0>models</s0>
<s5>15</s5>
</fC03>
<fC03 i1="13" i2="2" l="SPA"><s0>Modelo</s0>
<s5>15</s5>
</fC03>
<fC03 i1="14" i2="2" l="FRE"><s0>Précision</s0>
<s5>16</s5>
</fC03>
<fC03 i1="14" i2="2" l="ENG"><s0>accuracy</s0>
<s5>16</s5>
</fC03>
<fC03 i1="14" i2="2" l="SPA"><s0>Precisión</s0>
<s5>16</s5>
</fC03>
<fC03 i1="15" i2="2" l="FRE"><s0>Méthode satellite</s0>
<s5>18</s5>
</fC03>
<fC03 i1="15" i2="2" l="ENG"><s0>satellite methods</s0>
<s5>18</s5>
</fC03>
<fC03 i1="15" i2="2" l="SPA"><s0>Satélite artificial</s0>
<s5>18</s5>
</fC03>
<fC03 i1="16" i2="2" l="FRE"><s0>LANDSAT</s0>
<s5>19</s5>
</fC03>
<fC03 i1="16" i2="2" l="ENG"><s0>Landsat</s0>
<s5>19</s5>
</fC03>
<fC03 i1="17" i2="2" l="FRE"><s0>Imagerie</s0>
<s5>20</s5>
</fC03>
<fC03 i1="17" i2="2" l="ENG"><s0>imagery</s0>
<s5>20</s5>
</fC03>
<fC03 i1="17" i2="2" l="SPA"><s0>Imaginería</s0>
<s5>20</s5>
</fC03>
<fC03 i1="18" i2="2" l="FRE"><s0>Thematic Mapper</s0>
<s5>21</s5>
</fC03>
<fC03 i1="18" i2="2" l="ENG"><s0>Thematic Mapper</s0>
<s5>21</s5>
</fC03>
<fC03 i1="19" i2="2" l="FRE"><s0>Agriculture</s0>
<s5>22</s5>
</fC03>
<fC03 i1="19" i2="2" l="ENG"><s0>agriculture</s0>
<s5>22</s5>
</fC03>
<fC03 i1="19" i2="2" l="SPA"><s0>Agricultura</s0>
<s5>22</s5>
</fC03>
<fC03 i1="20" i2="2" l="FRE"><s0>Indicateur</s0>
<s5>24</s5>
</fC03>
<fC03 i1="20" i2="2" l="ENG"><s0>indicators</s0>
<s5>24</s5>
</fC03>
<fC03 i1="21" i2="2" l="FRE"><s0>Dégradation</s0>
<s5>25</s5>
</fC03>
<fC03 i1="21" i2="2" l="ENG"><s0>degradation</s0>
<s5>25</s5>
</fC03>
<fC03 i1="22" i2="2" l="FRE"><s0>Télédétection spatiale</s0>
<s5>62</s5>
</fC03>
<fC03 i1="22" i2="2" l="ENG"><s0>Space remote sensing</s0>
<s5>62</s5>
</fC03>
<fC03 i1="22" i2="2" l="SPA"><s0>Teledetección espacial</s0>
<s5>62</s5>
</fC03>
<fC06><s0>ILS</s0>
<s0>TA</s0>
</fC06>
<fC07 i1="01" i2="2" l="FRE"><s0>Péninsule Ibérique</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="01" i2="2" l="ENG"><s0>Iberian Peninsula</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="01" i2="2" l="SPA"><s0>Península ibérica</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="02" i2="2" l="FRE"><s0>Europe Sud</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="02" i2="2" l="ENG"><s0>Southern Europe</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="02" i2="2" l="SPA"><s0>Europa Sur</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="03" i2="2" l="FRE"><s0>Europe</s0>
</fC07>
<fC07 i1="03" i2="2" l="ENG"><s0>Europe</s0>
</fC07>
<fC07 i1="03" i2="2" l="SPA"><s0>Europa</s0>
</fC07>
<fC07 i1="04" i2="2" l="FRE"><s0>Murcie</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="04" i2="2" l="ENG"><s0>Murcia region</s0>
<s2>NG</s2>
</fC07>
<fC07 i1="04" i2="2" l="SPA"><s0>Murcia</s0>
<s2>NG</s2>
</fC07>
<fN21><s1>063</s1>
</fN21>
</pA>
</standard>
<server><NO>PASCAL 01-0086123 INIST</NO>
<ET>Mapping complex patterns of erosion and stability in dry mediterranean ecosystems</ET>
<AU>HILL (Joachim); SCHÜTT (Brigitta)</AU>
<AF>Remote Sensing Department, University of Trier/Trier/Allemagne (1 aut.); Department of Physical Geography, University of Trier/Trier/Allemagne (2 aut.)</AF>
<DT>Publication en série; Niveau analytique</DT>
<SO>Remote sensing of environment; ISSN 0034-4257; Coden RSEEA7; Etats-Unis; Da. 2000; Vol. 74; No. 3; Pp. 557-569; Bibl. 1 p.1/4</SO>
<LA>Anglais</LA>
<EA>Parametrizing soil reflectance spectra with variables related to specific shape characteristics of the spectral profile permits organic carbon concentrations in soils to be estimated on the basis of regionally validated regression models. An important feature of the approach is that it can not only be applied to continuous spectra but, without notable loss in accuracy, also to the spectral resolution of operational earth observation satellites such as the Landsat-TM or -ETM systems. Using this type of imagery, it can also be shown that soil organic matter is positively correlated to growth conditions for cereal crops in dryland agriculture. Strong correlations with qualitative erosion indicators that can be derived through spectral unmixing approaches demonstrate that soil organic matter is an important indicator for assessing land degradation processes in dry ecosystems from space.</EA>
<CC>225B04; 224B02; 001E01M04; 001E01J02</CC>
<FD>Espagne; Province Murcia; Zone méditerranéenne; Province Almeria; Matière organique; Erosion sol; Ecosystème; Pouvoir réflecteur; Cartographie; Carbone organique; Concentration; Sol; Modèle; Précision; Méthode satellite; LANDSAT; Imagerie; Thematic Mapper; Agriculture; Indicateur; Dégradation; Télédétection spatiale</FD>
<FG>Péninsule Ibérique; Europe Sud; Europe; Murcie</FG>
<ED>Spain; Murcia Spain; Mediterranean zone; Almeria Spain; organic materials; soil erosion; ecosystems; reflectance; cartography; organic carbon; concentration; soils; models; accuracy; satellite methods; Landsat; imagery; Thematic Mapper; agriculture; indicators; degradation; Space remote sensing</ED>
<EG>Iberian Peninsula; Southern Europe; Europe; Murcia region</EG>
<SD>España; Provincia Murcia; Provincia Almería; Materia orgánica; Erosión suelo; Ecosistema; Poder reflector; Cartografía; Carbono orgánico; Concentración; Suelo; Modelo; Precisión; Satélite artificial; Imaginería; Agricultura; Teledetección espacial</SD>
<LO>INIST-14287.354000093843230200</LO>
<ID>01-0086123</ID>
</server>
</inist>
</record>

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Wicri/Rhénanie/explor/UnivTrevesV1/Data/PascalFrancis/Corpus

HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000E65 | SxmlIndent | more

HfdSelect -h $EXPLOR_AREA/Data/PascalFrancis/Corpus/biblio.hfd -nk 000E65 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Wicri/Rhénanie
   |area=    UnivTrevesV1
   |flux=    PascalFrancis
   |étape=   Corpus
   |type=    RBID
   |clé=     Pascal:01-0086123
   |texte=   Mapping complex patterns of erosion and stability in dry mediterranean ecosystems
}}

This area was generated with Dilib version V0.6.31.
Data generation: Sat Jul 22 16:29:01 2017. Site generation: Wed Feb 28 14:55:37 2024

	Serveur d'exploration sur l'Université de Trèves
	Attention, ce site est en cours de développement ! Attention, site généré par des moyens informatiques à partir de corpus bruts. Les informations ne sont donc pas validées.

Serveur d'exploration sur l'Université de Trèves

Mapping complex patterns of erosion and stability in dry mediterranean ecosystems

Mapping complex patterns of erosion and stability in dry mediterranean ecosystems

Source :

Descripteurs français

English descriptors

Abstract

Notice en format standard (ISO 2709)

Format Inist (serveur)

Links to Exploration step

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri