Fourier analysis of multi-temporal AVHRR data applied to a land cover classification
A signal processing technique is presented and applied to annual patterns of the Global Vegetation Index (GVI) derived from the Advanced Very High Resolution Radiometer (AVHRR) to examine the frequency distribution of the multi-temporal signal. It is shown that frequencies of the signal are linked t...
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Veröffentlicht in: | International journal of remote sensing 1994, Vol.15 (5), p.1115-1121 |
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container_title | International journal of remote sensing |
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creator | ANDRES, LUDOVIC SALAS, WILLIAM A. SKOLE, DAVID |
description | A signal processing technique is presented and applied to annual patterns of the Global Vegetation Index (GVI) derived from the Advanced Very High Resolution Radiometer (AVHRR) to examine the frequency distribution of the multi-temporal signal. It is shown that frequencies of the signal are linked to integrated GVI, seasonal variability and subseasonal variability of the land cover type. These characteristics are used to derive a land cover classification. |
doi_str_mv | 10.1080/01431169408954145 |
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It is shown that frequencies of the signal are linked to integrated GVI, seasonal variability and subseasonal variability of the land cover type. These characteristics are used to derive a land cover classification.</description><subject>Animal, plant and microbial ecology</subject><subject>Biological and medical sciences</subject><subject>Classification</subject><subject>Fourier analysis</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>General aspects. Techniques</subject><subject>Indexes</subject><subject>Land</subject><subject>Remote sensing</subject><subject>Resolution</subject><subject>Teledetection and vegetation maps</subject><subject>Variability</subject><subject>Vegetation</subject><subject>Wavemeters</subject><issn>0143-1161</issn><issn>1366-5901</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1994</creationdate><recordtype>article</recordtype><recordid>eNqFkE1LAzEQhoMoWKs_wFsO4m01s58JeCnFWqEglOp1mU2yEMlu1mSr9N-bUvUi4mkO8zzvDC8hl8BugHF2yyDPAEqRMy6KHPLiiEwgK8ukEAyOyWS_TyIAp-QshFfGWFkV1YRsFm7rjfYUe7S7YAJ1Le22djTJqLvBebR09rJcr6nCESkOgzVa0dFRpBZ7RaV7j7a0GIJpjcTRuP6cnLRog774mlPyvLjfzJfJ6unhcT5bJTJj6ZgAb5oCWApCNSh1g4pzWaaaa2iVFlJnpdCpxCbTSiipZcsKVqWVErIQnGE2JdeH3MG7t60OY92ZILWNj2m3DXVaxjoqgH9B4MB5LC2CcACldyF43daDNx36XQ2s3hdd_yo6Oldf4Rgk2tZjL034EXNWihgfsbsDZvrW-Q4_nLeqHnFnnf92sr-vfAJ_wJCl</recordid><startdate>1994</startdate><enddate>1994</enddate><creator>ANDRES, LUDOVIC</creator><creator>SALAS, WILLIAM A.</creator><creator>SKOLE, DAVID</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><scope>7SU</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>KR7</scope></search><sort><creationdate>1994</creationdate><title>Fourier analysis of multi-temporal AVHRR data applied to a land cover classification</title><author>ANDRES, LUDOVIC ; SALAS, WILLIAM A. ; SKOLE, DAVID</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c302t-18bb510219dbacebad88c62e8e1fde9ce369e2cab3ed9dcecf050727d9c5980a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1994</creationdate><topic>Animal, plant and microbial ecology</topic><topic>Biological and medical sciences</topic><topic>Classification</topic><topic>Fourier analysis</topic><topic>Fundamental and applied biological sciences. 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Techniques</topic><topic>Indexes</topic><topic>Land</topic><topic>Remote sensing</topic><topic>Resolution</topic><topic>Teledetection and vegetation maps</topic><topic>Variability</topic><topic>Vegetation</topic><topic>Wavemeters</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>ANDRES, LUDOVIC</creatorcontrib><creatorcontrib>SALAS, WILLIAM A.</creatorcontrib><creatorcontrib>SKOLE, DAVID</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Environmental Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><jtitle>International journal of remote sensing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>ANDRES, LUDOVIC</au><au>SALAS, WILLIAM A.</au><au>SKOLE, DAVID</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Fourier analysis of multi-temporal AVHRR data applied to a land cover classification</atitle><jtitle>International journal of remote sensing</jtitle><date>1994</date><risdate>1994</risdate><volume>15</volume><issue>5</issue><spage>1115</spage><epage>1121</epage><pages>1115-1121</pages><issn>0143-1161</issn><eissn>1366-5901</eissn><coden>IJSEDK</coden><abstract>A signal processing technique is presented and applied to annual patterns of the Global Vegetation Index (GVI) derived from the Advanced Very High Resolution Radiometer (AVHRR) to examine the frequency distribution of the multi-temporal signal. 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source | Taylor & Francis:Master (3349 titles) |
subjects | Animal, plant and microbial ecology Biological and medical sciences Classification Fourier analysis Fundamental and applied biological sciences. Psychology General aspects. Techniques Indexes Land Remote sensing Resolution Teledetection and vegetation maps Variability Vegetation Wavemeters |
title | Fourier analysis of multi-temporal AVHRR data applied to a land cover classification |
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