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Evaluation of Landsat thematic mapper imagery for geologic applications
Landsat-4 Thematic Mapper (TM) imagery were enhanced and evaluated for geologic applications in both heavily and sparsely vegetated areas of the San Francisco Bay Region. False color composites of contrast-stretched spectral bands and principal component combinations were found to provide the most l...
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Published in: | Proceedings of the IEEE 1985-01, Vol.73 (6), p.1108-1117 |
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description | Landsat-4 Thematic Mapper (TM) imagery were enhanced and evaluated for geologic applications in both heavily and sparsely vegetated areas of the San Francisco Bay Region. False color composites of contrast-stretched spectral bands and principal component combinations were found to provide the most lithologic and structural information for geologic interpretation. The 30-m spatial resolution and seven spectral bands of the TM sensor were successfully used to delineate regional geobotanical anomalies, faults, and fractures in the heavily vegetated New Almaden area of the Santa Cruz mountains and regional lithology and structure of the sparsely vegetated Diablo Range. A number of these features have not been previously recognized using conventional aerial and field mapping techniques. Data reduction techniques employed to reduce the effects of band correlation assisted the geologic interpretation in the heavily vegetated areas but were of little use in the sparsely vegetated areas. This work demonstrates the ability of TM imagery to assist in the interpretation of lithologic, structural, and geobotanical features critical to deciphering a region's geology or mineral potential. |
doi_str_mv | 10.1109/PROC.1985.13241 |
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False color composites of contrast-stretched spectral bands and principal component combinations were found to provide the most lithologic and structural information for geologic interpretation. The 30-m spatial resolution and seven spectral bands of the TM sensor were successfully used to delineate regional geobotanical anomalies, faults, and fractures in the heavily vegetated New Almaden area of the Santa Cruz mountains and regional lithology and structure of the sparsely vegetated Diablo Range. A number of these features have not been previously recognized using conventional aerial and field mapping techniques. Data reduction techniques employed to reduce the effects of band correlation assisted the geologic interpretation in the heavily vegetated areas but were of little use in the sparsely vegetated areas. This work demonstrates the ability of TM imagery to assist in the interpretation of lithologic, structural, and geobotanical features critical to deciphering a region's geology or mineral potential.</description><identifier>ISSN: 0018-9219</identifier><identifier>EISSN: 1558-2256</identifier><identifier>DOI: 10.1109/PROC.1985.13241</identifier><identifier>CODEN: IEEPAD</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>Areal geology ; Areal geology. Maps ; Earth sciences ; Earth, ocean, space ; Exact sciences and technology ; Geochemical exploration, methodology, general ; Geology ; Image resolution ; Infrared detectors ; Metallic and non-metallic deposits ; Minerals ; Page description languages ; Photography ; Remote sensing ; Satellites ; Spatial resolution ; Surface structures</subject><ispartof>Proceedings of the IEEE, 1985-01, Vol.73 (6), p.1108-1117</ispartof><rights>1986 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a311t-d83b8c18b174966a99cf942ea5bce6565a351f0c3e5158a263b1f4a41549faa73</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/1457509$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,27923,27924,54795</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=8758343$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Lees, R.D.</creatorcontrib><creatorcontrib>Lettis, W.R.</creatorcontrib><creatorcontrib>Bernstein, R.</creatorcontrib><title>Evaluation of Landsat thematic mapper imagery for geologic applications</title><title>Proceedings of the IEEE</title><addtitle>JPROC</addtitle><description>Landsat-4 Thematic Mapper (TM) imagery were enhanced and evaluated for geologic applications in both heavily and sparsely vegetated areas of the San Francisco Bay Region. False color composites of contrast-stretched spectral bands and principal component combinations were found to provide the most lithologic and structural information for geologic interpretation. The 30-m spatial resolution and seven spectral bands of the TM sensor were successfully used to delineate regional geobotanical anomalies, faults, and fractures in the heavily vegetated New Almaden area of the Santa Cruz mountains and regional lithology and structure of the sparsely vegetated Diablo Range. A number of these features have not been previously recognized using conventional aerial and field mapping techniques. Data reduction techniques employed to reduce the effects of band correlation assisted the geologic interpretation in the heavily vegetated areas but were of little use in the sparsely vegetated areas. This work demonstrates the ability of TM imagery to assist in the interpretation of lithologic, structural, and geobotanical features critical to deciphering a region's geology or mineral potential.</description><subject>Areal geology</subject><subject>Areal geology. Maps</subject><subject>Earth sciences</subject><subject>Earth, ocean, space</subject><subject>Exact sciences and technology</subject><subject>Geochemical exploration, methodology, general</subject><subject>Geology</subject><subject>Image resolution</subject><subject>Infrared detectors</subject><subject>Metallic and non-metallic deposits</subject><subject>Minerals</subject><subject>Page description languages</subject><subject>Photography</subject><subject>Remote sensing</subject><subject>Satellites</subject><subject>Spatial resolution</subject><subject>Surface structures</subject><issn>0018-9219</issn><issn>1558-2256</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1985</creationdate><recordtype>article</recordtype><recordid>eNpFkEFLAzEQRoMoWKtnD15y8LptZpPJJkcptQqFiuh5mU2TurLtLskq9N-7bUVPAzPf-xgeY7cgJgDCTl9eV7MJWIMTkLmCMzYCRJPlOepzNhICTGZzsJfsKqVPIYRELUdsMf-m5ov6ut3xNvAl7daJet5_-O2wdHxLXecjr7e08XHPQxv5xrdNuxluw6mp3ZFN1-wiUJP8ze8cs_fH-dvsKVuuFs-zh2VGEqDP1kZWxoGpoFBWa7LWBatyT1g5r1EjSYQgnPQIaCjXsoKgSAEqG4gKOWbTU6-LbUrRh7KLw3NxX4IoDx7Kg4fy4KE8ehiI-xPRUXLUhEg7V6c_zBRopJJD7O4Uq733_6UKCxRW_gAxrWZy</recordid><startdate>19850101</startdate><enddate>19850101</enddate><creator>Lees, R.D.</creator><creator>Lettis, W.R.</creator><creator>Bernstein, R.</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>19850101</creationdate><title>Evaluation of Landsat thematic mapper imagery for geologic applications</title><author>Lees, R.D. ; Lettis, W.R. ; Bernstein, R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a311t-d83b8c18b174966a99cf942ea5bce6565a351f0c3e5158a263b1f4a41549faa73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1985</creationdate><topic>Areal geology</topic><topic>Areal geology. Maps</topic><topic>Earth sciences</topic><topic>Earth, ocean, space</topic><topic>Exact sciences and technology</topic><topic>Geochemical exploration, methodology, general</topic><topic>Geology</topic><topic>Image resolution</topic><topic>Infrared detectors</topic><topic>Metallic and non-metallic deposits</topic><topic>Minerals</topic><topic>Page description languages</topic><topic>Photography</topic><topic>Remote sensing</topic><topic>Satellites</topic><topic>Spatial resolution</topic><topic>Surface structures</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lees, R.D.</creatorcontrib><creatorcontrib>Lettis, W.R.</creatorcontrib><creatorcontrib>Bernstein, R.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><jtitle>Proceedings of the IEEE</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lees, R.D.</au><au>Lettis, W.R.</au><au>Bernstein, R.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Evaluation of Landsat thematic mapper imagery for geologic applications</atitle><jtitle>Proceedings of the IEEE</jtitle><stitle>JPROC</stitle><date>1985-01-01</date><risdate>1985</risdate><volume>73</volume><issue>6</issue><spage>1108</spage><epage>1117</epage><pages>1108-1117</pages><issn>0018-9219</issn><eissn>1558-2256</eissn><coden>IEEPAD</coden><abstract>Landsat-4 Thematic Mapper (TM) imagery were enhanced and evaluated for geologic applications in both heavily and sparsely vegetated areas of the San Francisco Bay Region. False color composites of contrast-stretched spectral bands and principal component combinations were found to provide the most lithologic and structural information for geologic interpretation. The 30-m spatial resolution and seven spectral bands of the TM sensor were successfully used to delineate regional geobotanical anomalies, faults, and fractures in the heavily vegetated New Almaden area of the Santa Cruz mountains and regional lithology and structure of the sparsely vegetated Diablo Range. A number of these features have not been previously recognized using conventional aerial and field mapping techniques. Data reduction techniques employed to reduce the effects of band correlation assisted the geologic interpretation in the heavily vegetated areas but were of little use in the sparsely vegetated areas. This work demonstrates the ability of TM imagery to assist in the interpretation of lithologic, structural, and geobotanical features critical to deciphering a region's geology or mineral potential.</abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/PROC.1985.13241</doi><tpages>10</tpages></addata></record> |
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subjects | Areal geology Areal geology. Maps Earth sciences Earth, ocean, space Exact sciences and technology Geochemical exploration, methodology, general Geology Image resolution Infrared detectors Metallic and non-metallic deposits Minerals Page description languages Photography Remote sensing Satellites Spatial resolution Surface structures |
title | Evaluation of Landsat thematic mapper imagery for geologic applications |
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