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Detecting lithology with Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) multispectral thermal infrared “radiance-at-sensor” data
The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) aboard NASA's Terra satellite measures multispectral thermal infrared (TIR) emission from the Earth's surface to space. Based on analysis of TIR spectral properties of typical rocks on the Earth, several mineralogic...
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Published in: | Remote sensing of environment 2005-11, Vol.99 (1), p.127-139 |
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container_title | Remote sensing of environment |
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creator | Ninomiya, Yoshiki Fu, Bihong Cudahy, Thomas J. |
description | The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) aboard NASA's Terra satellite measures multispectral thermal infrared (TIR) emission from the Earth's surface to space. Based on analysis of TIR spectral properties of typical rocks on the Earth, several mineralogic indices including the Quartz Index (QI), Carbonate Index (CI) and Mafic Index (MI) for detecting mineralogic or chemical composition of quartzose, carbonate and silicate rocks with ASTER-TIR data are proposed. These indices are applied to the ASTER-TIR data scenes for selected study areas in China and Australia. The results show that ASTER-TIR can discriminate quartz and carbonate rocks as well as mafic–ultramafic rocks, even with atmospherically uncorrected radiance-at-sensor data. Lithologic interpretations agree well with published geologic data and field observations. The mineralogic indices applied to ASTER-TIR provide one unified approach for lithologic mapping in arid and semi-arid regions of the Earth. |
doi_str_mv | 10.1016/j.rse.2005.06.009 |
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Based on analysis of TIR spectral properties of typical rocks on the Earth, several mineralogic indices including the Quartz Index (QI), Carbonate Index (CI) and Mafic Index (MI) for detecting mineralogic or chemical composition of quartzose, carbonate and silicate rocks with ASTER-TIR data are proposed. These indices are applied to the ASTER-TIR data scenes for selected study areas in China and Australia. The results show that ASTER-TIR can discriminate quartz and carbonate rocks as well as mafic–ultramafic rocks, even with atmospherically uncorrected radiance-at-sensor data. Lithologic interpretations agree well with published geologic data and field observations. 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Based on analysis of TIR spectral properties of typical rocks on the Earth, several mineralogic indices including the Quartz Index (QI), Carbonate Index (CI) and Mafic Index (MI) for detecting mineralogic or chemical composition of quartzose, carbonate and silicate rocks with ASTER-TIR data are proposed. These indices are applied to the ASTER-TIR data scenes for selected study areas in China and Australia. The results show that ASTER-TIR can discriminate quartz and carbonate rocks as well as mafic–ultramafic rocks, even with atmospherically uncorrected radiance-at-sensor data. Lithologic interpretations agree well with published geologic data and field observations. The mineralogic indices applied to ASTER-TIR provide one unified approach for lithologic mapping in arid and semi-arid regions of the Earth.</description><subject>ASTER</subject><subject>Australia</subject><subject>Carbonate</subject><subject>Chemical composition</subject><subject>China, People's Rep</subject><subject>Emissions</subject><subject>Emissivity spectra</subject><subject>Felsic</subject><subject>Geology</subject><subject>Lithologic mapping</subject><subject>lithology</subject><subject>Mafic</subject><subject>Mapping</subject><subject>Mineralogic indices</subject><subject>Ophiolite</subject><subject>Q1</subject><subject>Q2</subject><subject>Q3</subject><subject>Quartz</subject><subject>Remote sensing</subject><subject>Satellites</subject><subject>Semiarid environments</subject><subject>Silicate</subject><subject>Thermal infrared</subject><issn>0034-4257</issn><issn>1879-0704</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><recordid>eNp9kcFq3DAQhkVpodskD9CbTqU92B3JlmzR05Js00IgsNmehVYaJ1psayt5U3LLgyQvlyeJzObc02jE_3_DzE_IZwYlAya_78qYsOQAogRZAqh3ZMHaRhXQQP2eLACquqi5aD6STyntAJhoG7YgTxc4oZ38eEt7P92FPtw-0H_5RZfu3owWHb3ZG4vbEEekmzuMg-npavAp-TBSMzq6xq6fEbldG-fDkImRfl3ebFbrb3Q49JNP-yyI2Ti9AfzYRRMz_OXxKWbTPKkwU5FwTCG-PD5TZyZzSj50pk949lZPyJ-fq835r-Lq-vL3-fKqMJVgUyFaLrqughbbtqrzlzDKoXWiUkrI7dZKpSqQQnJuLXAj0TKHUmFXmyzh1Qn5cuTuY_h7wDTpvJ_FvjcjhkPSHLiUTDVZyI5CG0NKETu9j34w8UEz0HMOeqdzDnrOQYPUOYfs-XH0YN7g3mPUyXqcL-tjvop2wf_H_QoRmpUp</recordid><startdate>20051115</startdate><enddate>20051115</enddate><creator>Ninomiya, Yoshiki</creator><creator>Fu, Bihong</creator><creator>Cudahy, Thomas J.</creator><general>Elsevier Inc</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20051115</creationdate><title>Detecting lithology with Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) multispectral thermal infrared “radiance-at-sensor” data</title><author>Ninomiya, Yoshiki ; Fu, Bihong ; Cudahy, Thomas J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a351t-5825ff308e88343515a9decd539956bbc6993065622cc02a6ec1de69ef4a39923</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2005</creationdate><topic>ASTER</topic><topic>Australia</topic><topic>Carbonate</topic><topic>Chemical composition</topic><topic>China, People's Rep</topic><topic>Emissions</topic><topic>Emissivity spectra</topic><topic>Felsic</topic><topic>Geology</topic><topic>Lithologic mapping</topic><topic>lithology</topic><topic>Mafic</topic><topic>Mapping</topic><topic>Mineralogic indices</topic><topic>Ophiolite</topic><topic>Q1</topic><topic>Q2</topic><topic>Q3</topic><topic>Quartz</topic><topic>Remote sensing</topic><topic>Satellites</topic><topic>Semiarid environments</topic><topic>Silicate</topic><topic>Thermal infrared</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ninomiya, Yoshiki</creatorcontrib><creatorcontrib>Fu, Bihong</creatorcontrib><creatorcontrib>Cudahy, Thomas J.</creatorcontrib><collection>CrossRef</collection><jtitle>Remote sensing of environment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ninomiya, Yoshiki</au><au>Fu, Bihong</au><au>Cudahy, Thomas J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Detecting lithology with Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) multispectral thermal infrared “radiance-at-sensor” data</atitle><jtitle>Remote sensing of environment</jtitle><date>2005-11-15</date><risdate>2005</risdate><volume>99</volume><issue>1</issue><spage>127</spage><epage>139</epage><pages>127-139</pages><issn>0034-4257</issn><eissn>1879-0704</eissn><abstract>The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) aboard NASA's Terra satellite measures multispectral thermal infrared (TIR) emission from the Earth's surface to space. Based on analysis of TIR spectral properties of typical rocks on the Earth, several mineralogic indices including the Quartz Index (QI), Carbonate Index (CI) and Mafic Index (MI) for detecting mineralogic or chemical composition of quartzose, carbonate and silicate rocks with ASTER-TIR data are proposed. These indices are applied to the ASTER-TIR data scenes for selected study areas in China and Australia. The results show that ASTER-TIR can discriminate quartz and carbonate rocks as well as mafic–ultramafic rocks, even with atmospherically uncorrected radiance-at-sensor data. Lithologic interpretations agree well with published geologic data and field observations. The mineralogic indices applied to ASTER-TIR provide one unified approach for lithologic mapping in arid and semi-arid regions of the Earth.</abstract><pub>Elsevier Inc</pub><doi>10.1016/j.rse.2005.06.009</doi><tpages>13</tpages></addata></record> |
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source | ScienceDirect Freedom Collection 2022-2024 |
subjects | ASTER Australia Carbonate Chemical composition China, People's Rep Emissions Emissivity spectra Felsic Geology Lithologic mapping lithology Mafic Mapping Mineralogic indices Ophiolite Q1 Q2 Q3 Quartz Remote sensing Satellites Semiarid environments Silicate Thermal infrared |
title | Detecting lithology with Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) multispectral thermal infrared “radiance-at-sensor” data |
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