New method to identify sand and dust storm by using remote sensing technique - With inner mongolia autonomous region as example

The object emissivity characteristics and the theory of heat radiation were studied to detect sand dust storm by remote sensing technique. The results show that the material nature of sand dust, ground surface and clouds is different when the sand dust happens. The ratio between the ground and sand...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Hong wai yu hao mi bo xue bao 2009-04, Vol.28 (2), p.129-132
Hauptverfasser: Hai, Quan-Sheng, Bao, Yu-Hai, Alatengtuoya, Bao, Gang, Guo, Li-Biao
Format: Artikel
Sprache:chi
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 132
container_issue 2
container_start_page 129
container_title Hong wai yu hao mi bo xue bao
container_volume 28
creator Hai, Quan-Sheng
Bao, Yu-Hai
Alatengtuoya
Bao, Gang
Guo, Li-Biao
description The object emissivity characteristics and the theory of heat radiation were studied to detect sand dust storm by remote sensing technique. The results show that the material nature of sand dust, ground surface and clouds is different when the sand dust happens. The ratio between the ground and sand dust in pixel images is different when the strength of sand dust changes. And these differences lead to the variations of material nature in pixels and object emissivity. At last, by a combination of theoretical and experimental researches, it was found that the degree of approach between epsilon(29) and epsilon(31) was different among cloud area, ground surface, weak sand dust and strong sand dust areas. And in a whole range of 0-1 of epsilon(31), the order of epsilon(29) is cloud > strong sand dust > weak sand dust > ground surface. According to the results of the above, it was established a stable sand dust index (DSI) model to identify the sand dust strength. And the model can more accurately detect the range a
doi_str_mv 10.3724/SP.J.1010.2009.00129
format Article
fullrecord <record><control><sourceid>proquest</sourceid><recordid>TN_cdi_proquest_miscellaneous_34906054</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>34906054</sourcerecordid><originalsourceid>FETCH-LOGICAL-p186t-87d8bbba1d8ef2d3946f10f89efb3e9ffb568b52d07493842f11b2afa289c0453</originalsourceid><addsrcrecordid>eNotTztPwzAY9AASVek_YPgmthS_ktojqniqAiRAjJVdf24tJXaJHUEn_jrhMZzubrjTHSFnjM7FgsuL56f5_ZzR0XJK9ZxSxvURmbBRVJoyeUJmOQdLhaIL2TR6Qr4e8AM6LLvkoCQIDmMJ_gDZRAc_cEMukEvqO7AHGHKIW-ixSwUhY_y1BTe7GN4HhAreQtlBiBF76FLcpjYYMENJMXVpyGNyG1IEkwE_Tbdv8ZQce9NmnP3zlLxeX70sb6vV483d8nJV7ZlqSqUWTllrDXMKPXdCy8Yz6pVGbwVq723dKFtzN_7SQknuGbPceMOV3lBZiyk5_-vd92lcmsu6C3mDbWsijsPWQmra0FqKb9HcZKk</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>34906054</pqid></control><display><type>article</type><title>New method to identify sand and dust storm by using remote sensing technique - With inner mongolia autonomous region as example</title><source>EZB-FREE-00999 freely available EZB journals</source><creator>Hai, Quan-Sheng ; Bao, Yu-Hai ; Alatengtuoya ; Bao, Gang ; Guo, Li-Biao</creator><creatorcontrib>Hai, Quan-Sheng ; Bao, Yu-Hai ; Alatengtuoya ; Bao, Gang ; Guo, Li-Biao</creatorcontrib><description>The object emissivity characteristics and the theory of heat radiation were studied to detect sand dust storm by remote sensing technique. The results show that the material nature of sand dust, ground surface and clouds is different when the sand dust happens. The ratio between the ground and sand dust in pixel images is different when the strength of sand dust changes. And these differences lead to the variations of material nature in pixels and object emissivity. At last, by a combination of theoretical and experimental researches, it was found that the degree of approach between epsilon(29) and epsilon(31) was different among cloud area, ground surface, weak sand dust and strong sand dust areas. And in a whole range of 0-1 of epsilon(31), the order of epsilon(29) is cloud &gt; strong sand dust &gt; weak sand dust &gt; ground surface. According to the results of the above, it was established a stable sand dust index (DSI) model to identify the sand dust strength. And the model can more accurately detect the range a</description><identifier>ISSN: 1001-9014</identifier><identifier>DOI: 10.3724/SP.J.1010.2009.00129</identifier><language>chi</language><ispartof>Hong wai yu hao mi bo xue bao, 2009-04, Vol.28 (2), p.129-132</ispartof><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Hai, Quan-Sheng</creatorcontrib><creatorcontrib>Bao, Yu-Hai</creatorcontrib><creatorcontrib>Alatengtuoya</creatorcontrib><creatorcontrib>Bao, Gang</creatorcontrib><creatorcontrib>Guo, Li-Biao</creatorcontrib><title>New method to identify sand and dust storm by using remote sensing technique - With inner mongolia autonomous region as example</title><title>Hong wai yu hao mi bo xue bao</title><description>The object emissivity characteristics and the theory of heat radiation were studied to detect sand dust storm by remote sensing technique. The results show that the material nature of sand dust, ground surface and clouds is different when the sand dust happens. The ratio between the ground and sand dust in pixel images is different when the strength of sand dust changes. And these differences lead to the variations of material nature in pixels and object emissivity. At last, by a combination of theoretical and experimental researches, it was found that the degree of approach between epsilon(29) and epsilon(31) was different among cloud area, ground surface, weak sand dust and strong sand dust areas. And in a whole range of 0-1 of epsilon(31), the order of epsilon(29) is cloud &gt; strong sand dust &gt; weak sand dust &gt; ground surface. According to the results of the above, it was established a stable sand dust index (DSI) model to identify the sand dust strength. And the model can more accurately detect the range a</description><issn>1001-9014</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><recordid>eNotTztPwzAY9AASVek_YPgmthS_ktojqniqAiRAjJVdf24tJXaJHUEn_jrhMZzubrjTHSFnjM7FgsuL56f5_ZzR0XJK9ZxSxvURmbBRVJoyeUJmOQdLhaIL2TR6Qr4e8AM6LLvkoCQIDmMJ_gDZRAc_cEMukEvqO7AHGHKIW-ixSwUhY_y1BTe7GN4HhAreQtlBiBF76FLcpjYYMENJMXVpyGNyG1IEkwE_Tbdv8ZQce9NmnP3zlLxeX70sb6vV483d8nJV7ZlqSqUWTllrDXMKPXdCy8Yz6pVGbwVq723dKFtzN_7SQknuGbPceMOV3lBZiyk5_-vd92lcmsu6C3mDbWsijsPWQmra0FqKb9HcZKk</recordid><startdate>20090401</startdate><enddate>20090401</enddate><creator>Hai, Quan-Sheng</creator><creator>Bao, Yu-Hai</creator><creator>Alatengtuoya</creator><creator>Bao, Gang</creator><creator>Guo, Li-Biao</creator><scope>7SP</scope><scope>8FD</scope><scope>L7M</scope></search><sort><creationdate>20090401</creationdate><title>New method to identify sand and dust storm by using remote sensing technique - With inner mongolia autonomous region as example</title><author>Hai, Quan-Sheng ; Bao, Yu-Hai ; Alatengtuoya ; Bao, Gang ; Guo, Li-Biao</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p186t-87d8bbba1d8ef2d3946f10f89efb3e9ffb568b52d07493842f11b2afa289c0453</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>chi</language><creationdate>2009</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hai, Quan-Sheng</creatorcontrib><creatorcontrib>Bao, Yu-Hai</creatorcontrib><creatorcontrib>Alatengtuoya</creatorcontrib><creatorcontrib>Bao, Gang</creatorcontrib><creatorcontrib>Guo, Li-Biao</creatorcontrib><collection>Electronics &amp; Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Hong wai yu hao mi bo xue bao</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hai, Quan-Sheng</au><au>Bao, Yu-Hai</au><au>Alatengtuoya</au><au>Bao, Gang</au><au>Guo, Li-Biao</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>New method to identify sand and dust storm by using remote sensing technique - With inner mongolia autonomous region as example</atitle><jtitle>Hong wai yu hao mi bo xue bao</jtitle><date>2009-04-01</date><risdate>2009</risdate><volume>28</volume><issue>2</issue><spage>129</spage><epage>132</epage><pages>129-132</pages><issn>1001-9014</issn><abstract>The object emissivity characteristics and the theory of heat radiation were studied to detect sand dust storm by remote sensing technique. The results show that the material nature of sand dust, ground surface and clouds is different when the sand dust happens. The ratio between the ground and sand dust in pixel images is different when the strength of sand dust changes. And these differences lead to the variations of material nature in pixels and object emissivity. At last, by a combination of theoretical and experimental researches, it was found that the degree of approach between epsilon(29) and epsilon(31) was different among cloud area, ground surface, weak sand dust and strong sand dust areas. And in a whole range of 0-1 of epsilon(31), the order of epsilon(29) is cloud &gt; strong sand dust &gt; weak sand dust &gt; ground surface. According to the results of the above, it was established a stable sand dust index (DSI) model to identify the sand dust strength. And the model can more accurately detect the range a</abstract><doi>10.3724/SP.J.1010.2009.00129</doi><tpages>4</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1001-9014
ispartof Hong wai yu hao mi bo xue bao, 2009-04, Vol.28 (2), p.129-132
issn 1001-9014
language chi
recordid cdi_proquest_miscellaneous_34906054
source EZB-FREE-00999 freely available EZB journals
title New method to identify sand and dust storm by using remote sensing technique - With inner mongolia autonomous region as example
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-01T05%3A46%3A58IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=New%20method%20to%20identify%20sand%20and%20dust%20storm%20by%20using%20remote%20sensing%20technique%20-%20With%20inner%20mongolia%20autonomous%20region%20as%20example&rft.jtitle=Hong%20wai%20yu%20hao%20mi%20bo%20xue%20bao&rft.au=Hai,%20Quan-Sheng&rft.date=2009-04-01&rft.volume=28&rft.issue=2&rft.spage=129&rft.epage=132&rft.pages=129-132&rft.issn=1001-9014&rft_id=info:doi/10.3724/SP.J.1010.2009.00129&rft_dat=%3Cproquest%3E34906054%3C/proquest%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=34906054&rft_id=info:pmid/&rfr_iscdi=true