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The application of ASTER imageries and mathematical evaluation method in detecting cyanobacteria in biological soil crust, Chadormalu area, Central Iran / A. Moghtaderi in Photo interprétation, European journal of applied remote sensing, vol 47 n° 2 - 3 (juin 2011)

Public [article]  inPhoto interprétation, European journal of applied remote sensing > vol 47 n° 2 - 3 (juin 2011) . - pp 41 - 55 Titre : The application of ASTER imageries and mathematical evaluation method in detecting cyanobacteria in biological soil crust, Chadormalu area, Central Iran Titre original : Détection de croûtes biologiques à l'aide de l'imagerie ASTER. Exemple de la zone de Chadormalu, Iran central Type de document : Article/Communication Auteurs : A. Moghtaderi, Auteur ; F. Moore, Auteur ; M. Taghavi, Auteur ; R. Rezaei, Auteur Année de publication : 2011 Article en page(s) : pp 41 - 55 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] croute terrestre [Termes IGN] désert [Termes IGN] image multibande [Termes IGN] image Terra-ASTER [Termes IGN] Iran [Termes IGN] micro-organisme [Termes IGN] réflectance du sol Résumé : (Auteur) Soil surfaces in arid and semi-arid lands often lack photoautotrophic life but are covered by communities of soil surface covering organisms able to tolerate dehydration and thus adapted to aridity. One of the important objectives of multi-spectral remote sensing instruments is the detection of the optical characteristics of the Earth's surface using high spectral resolution bands. In this study ASTER imagery and reflected radiation in VNIR bands were used to investigate Biological Soil Crusts (BSCs) in the field. By applying IARR (Internal Average Relative Reflectance), FCC (False Color Composite), MNF (Minimum Noise Fraction Transform), MEM (Mathematical Evaluation Method) techniques, BSCs are successfully detected in the Chadormalu desert area of central Iran.This study clearly shows the capability of ASTER data (VNIR bands) to detect BSC or cyanobacteria soil crusts. The MEM method is suggested as an accurate tool for full scale studies. Numéro de notice : A2011-533 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=73757 [article]

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Code-barres	Cote	Support	Localisation	Section	Disponibilité
104-2011021	SL	Revue	Centre de documentation	Revues en salle	Exclu du prêt

The application of Advanced Space-Borne Thermal Emission and Reflection (ASTER) radiometer data in the detection of alteration paleocrater, Bafq region, central Iran / A. Moghtaderi in Photo interprétation, European journal of applied remote sensing, vol 45 n° 2 (juin 2009)

Public [article]  inPhoto interprétation, European journal of applied remote sensing > vol 45 n° 2 (juin 2009) . - pp 79 - 87 Titre : The application of Advanced Space-Borne Thermal Emission and Reflection (ASTER) radiometer data in the detection of alteration paleocrater, Bafq region, central Iran Type de document : Article/Communication Auteurs : A. Moghtaderi, Auteur ; F. Moore, Auteur ; Ali Mohammadzadeh, Auteur Année de publication : 2009 Article en page(s) : pp 79 - 87 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] altération géologique [Termes IGN] capteur multibande [Termes IGN] composition colorée [Termes IGN] cratère [Termes IGN] image optique [Termes IGN] image Terra-ASTER [Termes IGN] Iran [Termes IGN] minéralogie [Termes IGN] réflectance du sol [Termes IGN] traitement d'image Résumé : (Auteur) Ore deposits are often produced by fluid flow processes that basically alter the mineralogy and chemistry of the country rock. One of the important objectives of developed multispectral and a hyper-spectral sensor is to detect optical characteristics of the Earth surface using hundreds of spectral bands. All previous studies show that remote sensing can recognize alteration to different degrees using different spatial and spectral resolution sensors. ASTER sensor measures reflected radiation in VNIR, SWIR and TIR electromagnetic energies. It's cheap and easily available. The alteration minerals of Chadormalu area (Chadormalu paleocrater and the related iron oxide deposit) are investigated in the field and successfully detected by applying IARR (Internal Average Relative Reflectance), FCC (False Color Composite), Decorrelation-stretch, MNF (Minimum Noise Fraction Transform), correlated filter and MEM (Mathematical Evaluation Method) techniques on ASTER imageries. Sadie, potassic, and silicic-sericitisation alteration patterns are distinguished. This studv shows that, the ability and accuracy of MEM method is better than 2*2 correlated filter techniques. The results indicate that, pervasive hydrothermal ore-forming processes are important at the study area. Judging from alteration mineral assemblages, it may be said that Chadormalu iron deposit is an endmember of the Kiruna type -Iron oxide (Cu-Au) ore deposit continuum. Numéro de notice : A2009-523 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30152 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
104-09021	SL	Revue	Centre de documentation	Revues en salle	Exclu du prêt