Loading…

Multi-year global land cover mapping at 300 m and characterization for climate modelling: achievements of the Land Cover component of the ESA Climate Change Initiative

Essential Climate Variables were listed by the Global Climate Observing System as critical information to further understand the climate system and support climate modelling. The European Space Agency launched its Climate Change Initiative in order to provide an adequate response to the set of requi...

Full description

Saved in:
Bibliographic Details
Main Authors: Bontemps, S., Boettcher, M., Brockmann, C., Kirches, G., Lamarche, C., Radoux, J., Santoro, M., Vanbogaert, E., Wegmüller, U., Herold, M., Achard, F., Ramoino, F., Arino, O., Defourny, P.
Format: Conference Proceeding
Language:English
Citations: Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c421t-df39613706d7d2d4823a5cfdf33896d01638b36412c356abe60880c87013da4b3
cites
container_end_page 328
container_issue 7
container_start_page 323
container_title
container_volume XL-7/W3
creator Bontemps, S.
Boettcher, M.
Brockmann, C.
Kirches, G.
Lamarche, C.
Radoux, J.
Santoro, M.
Vanbogaert, E.
Wegmüller, U.
Herold, M.
Achard, F.
Ramoino, F.
Arino, O.
Defourny, P.
description Essential Climate Variables were listed by the Global Climate Observing System as critical information to further understand the climate system and support climate modelling. The European Space Agency launched its Climate Change Initiative in order to provide an adequate response to the set of requirements for long-term satellite-based products for climate. Within this program, the CCI Land Cover project aims at revisiting all algorithms required for the generation of global land cover products that are stable and consistent over time, while also reflecting the land surface seasonality. To this end, the land cover concept is revisited to deliver a set of three consistent global land cover products corresponding to the 1998-2002, 2003-2007 and 2008-2012 periods, along with climatological 7-day time series representing the average seasonal dynamics of the land surface over the 1998-2012 period. The full Envisat MERIS archive (2003-2012) is used as main Earth Observation dataset to derive the 300-m global land cover maps, complemented with SPOT-Vegetation time series between 1998 and 2012. Finally, a 300-m global map of open permanent water bodies is derived from the 2005-2010 archive of the Envisat Advanced SAR imagery mainly acquired in the 150m Wide Swath Mode.
doi_str_mv 10.5194/isprsarchives-XL-7-W3-323-2015
format conference_proceeding
fullrecord <record><control><sourceid>proquest_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_16cebbb7eec1401c9c316110960cd9c4</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_16cebbb7eec1401c9c316110960cd9c4</doaj_id><sourcerecordid>3922271451</sourcerecordid><originalsourceid>FETCH-LOGICAL-c421t-df39613706d7d2d4823a5cfdf33896d01638b36412c356abe60880c87013da4b3</originalsourceid><addsrcrecordid>eNpVkUFr3DAQhU1oISHJfxAUelM7smzZ7qEQTJouOPSQluQmZGm8q8W2XEm7kP6h_s1qd9PSnDTMe_rmwcuy9ww-lKwpPtqw-KC83tg9BvrU0Yo-cspzTnNg5Vl2kScXbYAXb_6bz7PrELYAwAohSigvst_3uzFa-ozKk_XoejWSUc2GaLdHTya1LHZeExUJByATOUob5ZWO6O0vFa2byeA80aOdVEQyOYPjmP58IiqFwz1OOMdA3EDiBkl3ALRHtnbT4uYk_tVuH25I-4JpN2peI1nNNtp0ZI9X2dtBjQGvX97L7MeX2-_tV9p9u1u1Nx3VRc4iNQNvBOMVCFOZ3BR1zlWph7TmdSMMMMHrnouC5ZqXQvUooK5B1xUwblTR88tsdeIap7Zy8SmOf5ZOWXlcOL-WykerR5RMaOz7vkLUrACmG82ZYAwaAdo0ukisdyfW4t3PHYYot27n5xRfsqqsoKwE5Mn1-eTS3oXgcfh3lYE8dC1fdS2fOlnJRy5T1_LQNf8DWOqjrA</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype><pqid>1757057602</pqid></control><display><type>conference_proceeding</type><title>Multi-year global land cover mapping at 300 m and characterization for climate modelling: achievements of the Land Cover component of the ESA Climate Change Initiative</title><source>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</source><source>Free E-Journal (出版社公開部分のみ)</source><creator>Bontemps, S. ; Boettcher, M. ; Brockmann, C. ; Kirches, G. ; Lamarche, C. ; Radoux, J. ; Santoro, M. ; Vanbogaert, E. ; Wegmüller, U. ; Herold, M. ; Achard, F. ; Ramoino, F. ; Arino, O. ; Defourny, P.</creator><creatorcontrib>Bontemps, S. ; Boettcher, M. ; Brockmann, C. ; Kirches, G. ; Lamarche, C. ; Radoux, J. ; Santoro, M. ; Vanbogaert, E. ; Wegmüller, U. ; Herold, M. ; Achard, F. ; Ramoino, F. ; Arino, O. ; Defourny, P.</creatorcontrib><description>Essential Climate Variables were listed by the Global Climate Observing System as critical information to further understand the climate system and support climate modelling. The European Space Agency launched its Climate Change Initiative in order to provide an adequate response to the set of requirements for long-term satellite-based products for climate. Within this program, the CCI Land Cover project aims at revisiting all algorithms required for the generation of global land cover products that are stable and consistent over time, while also reflecting the land surface seasonality. To this end, the land cover concept is revisited to deliver a set of three consistent global land cover products corresponding to the 1998-2002, 2003-2007 and 2008-2012 periods, along with climatological 7-day time series representing the average seasonal dynamics of the land surface over the 1998-2012 period. The full Envisat MERIS archive (2003-2012) is used as main Earth Observation dataset to derive the 300-m global land cover maps, complemented with SPOT-Vegetation time series between 1998 and 2012. Finally, a 300-m global map of open permanent water bodies is derived from the 2005-2010 archive of the Envisat Advanced SAR imagery mainly acquired in the 150m Wide Swath Mode.</description><identifier>ISSN: 2194-9034</identifier><identifier>ISSN: 1682-1750</identifier><identifier>EISSN: 2194-9034</identifier><identifier>DOI: 10.5194/isprsarchives-XL-7-W3-323-2015</identifier><language>eng</language><publisher>Gottingen: Copernicus GmbH</publisher><ispartof>International archives of the photogrammetry, remote sensing and spatial information sciences., 2015, Vol.XL-7/W3 (7), p.323-328</ispartof><rights>Copyright Copernicus GmbH 2015</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c421t-df39613706d7d2d4823a5cfdf33896d01638b36412c356abe60880c87013da4b3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/1757057602?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>309,310,314,780,784,789,790,23930,23931,25140,25753,27924,27925,37012,44590</link.rule.ids></links><search><creatorcontrib>Bontemps, S.</creatorcontrib><creatorcontrib>Boettcher, M.</creatorcontrib><creatorcontrib>Brockmann, C.</creatorcontrib><creatorcontrib>Kirches, G.</creatorcontrib><creatorcontrib>Lamarche, C.</creatorcontrib><creatorcontrib>Radoux, J.</creatorcontrib><creatorcontrib>Santoro, M.</creatorcontrib><creatorcontrib>Vanbogaert, E.</creatorcontrib><creatorcontrib>Wegmüller, U.</creatorcontrib><creatorcontrib>Herold, M.</creatorcontrib><creatorcontrib>Achard, F.</creatorcontrib><creatorcontrib>Ramoino, F.</creatorcontrib><creatorcontrib>Arino, O.</creatorcontrib><creatorcontrib>Defourny, P.</creatorcontrib><title>Multi-year global land cover mapping at 300 m and characterization for climate modelling: achievements of the Land Cover component of the ESA Climate Change Initiative</title><title>International archives of the photogrammetry, remote sensing and spatial information sciences.</title><description>Essential Climate Variables were listed by the Global Climate Observing System as critical information to further understand the climate system and support climate modelling. The European Space Agency launched its Climate Change Initiative in order to provide an adequate response to the set of requirements for long-term satellite-based products for climate. Within this program, the CCI Land Cover project aims at revisiting all algorithms required for the generation of global land cover products that are stable and consistent over time, while also reflecting the land surface seasonality. To this end, the land cover concept is revisited to deliver a set of three consistent global land cover products corresponding to the 1998-2002, 2003-2007 and 2008-2012 periods, along with climatological 7-day time series representing the average seasonal dynamics of the land surface over the 1998-2012 period. The full Envisat MERIS archive (2003-2012) is used as main Earth Observation dataset to derive the 300-m global land cover maps, complemented with SPOT-Vegetation time series between 1998 and 2012. Finally, a 300-m global map of open permanent water bodies is derived from the 2005-2010 archive of the Envisat Advanced SAR imagery mainly acquired in the 150m Wide Swath Mode.</description><issn>2194-9034</issn><issn>1682-1750</issn><issn>2194-9034</issn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2015</creationdate><recordtype>conference_proceeding</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNpVkUFr3DAQhU1oISHJfxAUelM7smzZ7qEQTJouOPSQluQmZGm8q8W2XEm7kP6h_s1qd9PSnDTMe_rmwcuy9ww-lKwpPtqw-KC83tg9BvrU0Yo-cspzTnNg5Vl2kScXbYAXb_6bz7PrELYAwAohSigvst_3uzFa-ozKk_XoejWSUc2GaLdHTya1LHZeExUJByATOUob5ZWO6O0vFa2byeA80aOdVEQyOYPjmP58IiqFwz1OOMdA3EDiBkl3ALRHtnbT4uYk_tVuH25I-4JpN2peI1nNNtp0ZI9X2dtBjQGvX97L7MeX2-_tV9p9u1u1Nx3VRc4iNQNvBOMVCFOZ3BR1zlWph7TmdSMMMMHrnouC5ZqXQvUooK5B1xUwblTR88tsdeIap7Zy8SmOf5ZOWXlcOL-WykerR5RMaOz7vkLUrACmG82ZYAwaAdo0ukisdyfW4t3PHYYot27n5xRfsqqsoKwE5Mn1-eTS3oXgcfh3lYE8dC1fdS2fOlnJRy5T1_LQNf8DWOqjrA</recordid><startdate>20150101</startdate><enddate>20150101</enddate><creator>Bontemps, S.</creator><creator>Boettcher, M.</creator><creator>Brockmann, C.</creator><creator>Kirches, G.</creator><creator>Lamarche, C.</creator><creator>Radoux, J.</creator><creator>Santoro, M.</creator><creator>Vanbogaert, E.</creator><creator>Wegmüller, U.</creator><creator>Herold, M.</creator><creator>Achard, F.</creator><creator>Ramoino, F.</creator><creator>Arino, O.</creator><creator>Defourny, P.</creator><general>Copernicus GmbH</general><general>Copernicus Publications</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TN</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>H96</scope><scope>HCIFZ</scope><scope>L.G</scope><scope>L6V</scope><scope>M7S</scope><scope>PCBAR</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>DOA</scope></search><sort><creationdate>20150101</creationdate><title>Multi-year global land cover mapping at 300 m and characterization for climate modelling: achievements of the Land Cover component of the ESA Climate Change Initiative</title><author>Bontemps, S. ; Boettcher, M. ; Brockmann, C. ; Kirches, G. ; Lamarche, C. ; Radoux, J. ; Santoro, M. ; Vanbogaert, E. ; Wegmüller, U. ; Herold, M. ; Achard, F. ; Ramoino, F. ; Arino, O. ; Defourny, P.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c421t-df39613706d7d2d4823a5cfdf33896d01638b36412c356abe60880c87013da4b3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2015</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bontemps, S.</creatorcontrib><creatorcontrib>Boettcher, M.</creatorcontrib><creatorcontrib>Brockmann, C.</creatorcontrib><creatorcontrib>Kirches, G.</creatorcontrib><creatorcontrib>Lamarche, C.</creatorcontrib><creatorcontrib>Radoux, J.</creatorcontrib><creatorcontrib>Santoro, M.</creatorcontrib><creatorcontrib>Vanbogaert, E.</creatorcontrib><creatorcontrib>Wegmüller, U.</creatorcontrib><creatorcontrib>Herold, M.</creatorcontrib><creatorcontrib>Achard, F.</creatorcontrib><creatorcontrib>Ramoino, F.</creatorcontrib><creatorcontrib>Arino, O.</creatorcontrib><creatorcontrib>Defourny, P.</creatorcontrib><collection>CrossRef</collection><collection>Oceanic Abstracts</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Earth, Atmospheric &amp; Aquatic Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy &amp; Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) Professional</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Earth, Atmospheric &amp; Aquatic Science Database</collection><collection>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering collection</collection><collection>DOAJ Directory of Open Access Journals</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bontemps, S.</au><au>Boettcher, M.</au><au>Brockmann, C.</au><au>Kirches, G.</au><au>Lamarche, C.</au><au>Radoux, J.</au><au>Santoro, M.</au><au>Vanbogaert, E.</au><au>Wegmüller, U.</au><au>Herold, M.</au><au>Achard, F.</au><au>Ramoino, F.</au><au>Arino, O.</au><au>Defourny, P.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Multi-year global land cover mapping at 300 m and characterization for climate modelling: achievements of the Land Cover component of the ESA Climate Change Initiative</atitle><btitle>International archives of the photogrammetry, remote sensing and spatial information sciences.</btitle><date>2015-01-01</date><risdate>2015</risdate><volume>XL-7/W3</volume><issue>7</issue><spage>323</spage><epage>328</epage><pages>323-328</pages><issn>2194-9034</issn><issn>1682-1750</issn><eissn>2194-9034</eissn><abstract>Essential Climate Variables were listed by the Global Climate Observing System as critical information to further understand the climate system and support climate modelling. The European Space Agency launched its Climate Change Initiative in order to provide an adequate response to the set of requirements for long-term satellite-based products for climate. Within this program, the CCI Land Cover project aims at revisiting all algorithms required for the generation of global land cover products that are stable and consistent over time, while also reflecting the land surface seasonality. To this end, the land cover concept is revisited to deliver a set of three consistent global land cover products corresponding to the 1998-2002, 2003-2007 and 2008-2012 periods, along with climatological 7-day time series representing the average seasonal dynamics of the land surface over the 1998-2012 period. The full Envisat MERIS archive (2003-2012) is used as main Earth Observation dataset to derive the 300-m global land cover maps, complemented with SPOT-Vegetation time series between 1998 and 2012. Finally, a 300-m global map of open permanent water bodies is derived from the 2005-2010 archive of the Envisat Advanced SAR imagery mainly acquired in the 150m Wide Swath Mode.</abstract><cop>Gottingen</cop><pub>Copernicus GmbH</pub><doi>10.5194/isprsarchives-XL-7-W3-323-2015</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2194-9034
ispartof International archives of the photogrammetry, remote sensing and spatial information sciences., 2015, Vol.XL-7/W3 (7), p.323-328
issn 2194-9034
1682-1750
2194-9034
language eng
recordid cdi_doaj_primary_oai_doaj_org_article_16cebbb7eec1401c9c316110960cd9c4
source Publicly Available Content Database (Proquest) (PQ_SDU_P3); Free E-Journal (出版社公開部分のみ)
title Multi-year global land cover mapping at 300 m and characterization for climate modelling: achievements of the Land Cover component of the ESA Climate Change Initiative
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-29T06%3A55%3A26IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Multi-year%20global%20land%20cover%20mapping%20at%20300%20m%20and%20characterization%20for%20climate%20modelling:%20achievements%20of%20the%20Land%20Cover%20component%20of%20the%20ESA%20Climate%20Change%20Initiative&rft.btitle=International%20archives%20of%20the%20photogrammetry,%20remote%20sensing%20and%20spatial%20information%20sciences.&rft.au=Bontemps,%20S.&rft.date=2015-01-01&rft.volume=XL-7/W3&rft.issue=7&rft.spage=323&rft.epage=328&rft.pages=323-328&rft.issn=2194-9034&rft.eissn=2194-9034&rft_id=info:doi/10.5194/isprsarchives-XL-7-W3-323-2015&rft_dat=%3Cproquest_doaj_%3E3922271451%3C/proquest_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c421t-df39613706d7d2d4823a5cfdf33896d01638b36412c356abe60880c87013da4b3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1757057602&rft_id=info:pmid/&rfr_iscdi=true