Environment contribution to the atmospheric correction for Landsat-MSS images
The signal returning from the Earth's surface to the satellite is modified by the atmospheric effect, which has two components. The first one is solar radiation which, due to backscattering, is deviated in the direction of the sensor without reaching the Earth's surface. The second compone...
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Veröffentlicht in: | International journal of remote sensing 1995-09, Vol.16 (14), p.2515-2537 |
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creator | MILOVICH, J. A. FRULLA, L. A. GAGUARDINI, D. A. |
description | The signal returning from the Earth's surface to the satellite is modified by the atmospheric effect, which has two components. The first one is solar radiation which, due to backscattering, is deviated in the direction of the sensor without reaching the Earth's surface. The second component is produced by the energy reflected in areas close to the pixel observed which, owing to collisions with atmospheric constituents, is deviated from its path in the sensor direction. This is called the adjacency effect and this paper presents a numerical method to estimate this effect under the assumption of a heterogeneous flat Lambertian surface. From this estimation it is possible to apply the atmospheric correction for the calculation of reflectance images based on data obtained by the optical channels of high resolution satellite systems such as Landsat-MSS, Landsat-TM and SPOT/H RV. In particular, in this paper the method is applied to Landsat-5 MSS images over urban regions. However, its application to any of the sensors mentioned is easily implemented considering the changes in spectral response and pixel size. Differences obtained in the results for reflectance at Earth's surface in winter and summer images were in the order of 10
−3
for bands 1 and 2, 10
−2
for band 3, and 10
−1
for band 4. |
doi_str_mv | 10.1080/01431169508954574 |
format | Article |
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−3
for bands 1 and 2, 10
−2
for band 3, and 10
−1
for band 4.</description><identifier>ISSN: 0143-1161</identifier><identifier>EISSN: 1366-5901</identifier><identifier>DOI: 10.1080/01431169508954574</identifier><identifier>CODEN: IJSEDK</identifier><language>eng</language><publisher>Abingdon: Taylor & Francis Group</publisher><subject>Areal geology. Maps ; Earth sciences ; Earth, ocean, space ; Exact sciences and technology ; External geophysics ; Geologic maps, cartography ; Geophysics. Techniques, methods, instrumentation and models</subject><ispartof>International journal of remote sensing, 1995-09, Vol.16 (14), p.2515-2537</ispartof><rights>Copyright Taylor & Francis Group, LLC 1995</rights><rights>1995 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c356t-52a1ddfadbef5abc4e28414ec9fa3ffe8075abfdd21fe4950b28d6ca36728e083</citedby><cites>FETCH-LOGICAL-c356t-52a1ddfadbef5abc4e28414ec9fa3ffe8075abfdd21fe4950b28d6ca36728e083</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.tandfonline.com/doi/pdf/10.1080/01431169508954574$$EPDF$$P50$$Ginformaworld$$H</linktopdf><linktohtml>$$Uhttps://www.tandfonline.com/doi/full/10.1080/01431169508954574$$EHTML$$P50$$Ginformaworld$$H</linktohtml><link.rule.ids>314,777,781,27905,27906,59626,60415</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=3684180$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>MILOVICH, J. A.</creatorcontrib><creatorcontrib>FRULLA, L. A.</creatorcontrib><creatorcontrib>GAGUARDINI, D. A.</creatorcontrib><title>Environment contribution to the atmospheric correction for Landsat-MSS images</title><title>International journal of remote sensing</title><description>The signal returning from the Earth's surface to the satellite is modified by the atmospheric effect, which has two components. The first one is solar radiation which, due to backscattering, is deviated in the direction of the sensor without reaching the Earth's surface. The second component is produced by the energy reflected in areas close to the pixel observed which, owing to collisions with atmospheric constituents, is deviated from its path in the sensor direction. This is called the adjacency effect and this paper presents a numerical method to estimate this effect under the assumption of a heterogeneous flat Lambertian surface. From this estimation it is possible to apply the atmospheric correction for the calculation of reflectance images based on data obtained by the optical channels of high resolution satellite systems such as Landsat-MSS, Landsat-TM and SPOT/H RV. In particular, in this paper the method is applied to Landsat-5 MSS images over urban regions. However, its application to any of the sensors mentioned is easily implemented considering the changes in spectral response and pixel size. Differences obtained in the results for reflectance at Earth's surface in winter and summer images were in the order of 10
−3
for bands 1 and 2, 10
−2
for band 3, and 10
−1
for band 4.</description><subject>Areal geology. Maps</subject><subject>Earth sciences</subject><subject>Earth, ocean, space</subject><subject>Exact sciences and technology</subject><subject>External geophysics</subject><subject>Geologic maps, cartography</subject><subject>Geophysics. Techniques, methods, instrumentation and models</subject><issn>0143-1161</issn><issn>1366-5901</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1995</creationdate><recordtype>article</recordtype><recordid>eNp1kDtPwzAUhS0EEqXwA9gyILaAHceOI7GgqjykVgyFOXKca2qU2MV2Qf33uLSwIKYr3fOd-zgInRN8RbDA15iUlBBeMyxqVrKqPEAjQjnPWY3JIRpt9TwB5BidhPCGMeYVq0ZoPrUfxjs7gI2ZcjZ6066jcTaLLotLyGQcXFgtwRuVdO9Bfava-WwmbRdkzOeLRWYG-QrhFB1p2Qc429cxermbPk8e8tnT_ePkdpYrynjMWSFJ12nZtaCZbFUJhShJCarWkmoNAleprbuuIBrK9FNbiI4rSXlVCMCCjtHlbu7Ku_c1hNgMJijoe2nBrUNDBKlIxXkCyQ5U3oXgQTcrn071m4bgZhtc8ye45LnYD5dByV57aZUJv0bK060CJ-xmhxmbwhjkp_N910S56Z3_8dD_t3wBCiGBvQ</recordid><startdate>19950920</startdate><enddate>19950920</enddate><creator>MILOVICH, J. A.</creator><creator>FRULLA, L. A.</creator><creator>GAGUARDINI, D. A.</creator><general>Taylor & Francis Group</general><general>Taylor and Francis</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TG</scope><scope>KL.</scope></search><sort><creationdate>19950920</creationdate><title>Environment contribution to the atmospheric correction for Landsat-MSS images</title><author>MILOVICH, J. A. ; FRULLA, L. A. ; GAGUARDINI, D. A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c356t-52a1ddfadbef5abc4e28414ec9fa3ffe8075abfdd21fe4950b28d6ca36728e083</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1995</creationdate><topic>Areal geology. Maps</topic><topic>Earth sciences</topic><topic>Earth, ocean, space</topic><topic>Exact sciences and technology</topic><topic>External geophysics</topic><topic>Geologic maps, cartography</topic><topic>Geophysics. Techniques, methods, instrumentation and models</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>MILOVICH, J. A.</creatorcontrib><creatorcontrib>FRULLA, L. A.</creatorcontrib><creatorcontrib>GAGUARDINI, D. A.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><jtitle>International journal of remote sensing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>MILOVICH, J. A.</au><au>FRULLA, L. A.</au><au>GAGUARDINI, D. A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Environment contribution to the atmospheric correction for Landsat-MSS images</atitle><jtitle>International journal of remote sensing</jtitle><date>1995-09-20</date><risdate>1995</risdate><volume>16</volume><issue>14</issue><spage>2515</spage><epage>2537</epage><pages>2515-2537</pages><issn>0143-1161</issn><eissn>1366-5901</eissn><coden>IJSEDK</coden><abstract>The signal returning from the Earth's surface to the satellite is modified by the atmospheric effect, which has two components. The first one is solar radiation which, due to backscattering, is deviated in the direction of the sensor without reaching the Earth's surface. The second component is produced by the energy reflected in areas close to the pixel observed which, owing to collisions with atmospheric constituents, is deviated from its path in the sensor direction. This is called the adjacency effect and this paper presents a numerical method to estimate this effect under the assumption of a heterogeneous flat Lambertian surface. From this estimation it is possible to apply the atmospheric correction for the calculation of reflectance images based on data obtained by the optical channels of high resolution satellite systems such as Landsat-MSS, Landsat-TM and SPOT/H RV. In particular, in this paper the method is applied to Landsat-5 MSS images over urban regions. However, its application to any of the sensors mentioned is easily implemented considering the changes in spectral response and pixel size. Differences obtained in the results for reflectance at Earth's surface in winter and summer images were in the order of 10
−3
for bands 1 and 2, 10
−2
for band 3, and 10
−1
for band 4.</abstract><cop>Abingdon</cop><pub>Taylor & Francis Group</pub><doi>10.1080/01431169508954574</doi><tpages>23</tpages></addata></record> |
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source | Taylor & Francis Journals Complete |
subjects | Areal geology. Maps Earth sciences Earth, ocean, space Exact sciences and technology External geophysics Geologic maps, cartography Geophysics. Techniques, methods, instrumentation and models |
title | Environment contribution to the atmospheric correction for Landsat-MSS images |
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