Loading…
The global long-term microwave Vegetation Optical Depth Climate Archive (VODCA)
Since the late 1970s, space-borne microwave radiometers have been providing measurements of radiation emitted by the Earth's surface. From these measurements it is possible to derive vegetation optical depth (VOD), a model-based indicator related to the density, biomass, and water content of ve...
Saved in:
| Published in: | Earth system science data 2020-01, Vol.12 (1), p.177-196 |
|---|---|
| Main Authors: | , , , , , , |
| Format: | Article |
| Language: | English |
| Subjects: | |
| Citations: | Items that this one cites 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-c546t-476a9529d6ba57dec88d0723964829bd72f6325d059579984c0ddf274754b8263 |
|---|---|
| cites | cdi_FETCH-LOGICAL-c546t-476a9529d6ba57dec88d0723964829bd72f6325d059579984c0ddf274754b8263 |
| container_end_page | 196 |
| container_issue | 1 |
| container_start_page | 177 |
| container_title | Earth system science data |
| container_volume | 12 |
| creator | Moesinger, Leander Dorigo, Wouter de Jeu, Richard van der Schalie, Robin Scanlon, Tracy Teubner, Irene Forkel, Matthias |
| description | Since the late 1970s, space-borne microwave radiometers have been providing measurements of radiation emitted by the Earth's surface. From these measurements it is possible to derive vegetation optical depth (VOD), a model-based indicator related to the density, biomass, and water content of vegetation. Because of its high temporal resolution and long availability, VOD can be used to monitor short- to long-term changes in vegetation. However, studying long-term VOD dynamics is generally hampered by the relatively short time span covered by the individual microwave sensors. This can potentially be overcome by merging multiple VOD products into a single climate data record. However, combining multiple sensors into a single product is challenging as systematic differences between input products like biases, different temporal and spatial resolutions, and coverage need to be overcome. |
| doi_str_mv | 10.5194/essd-12-177-2020 |
| format | article |
| fullrecord | <record><control><sourceid>gale_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_fae304bee992403da8d39568fb1ac6f5</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A612757605</galeid><doaj_id>oai_doaj_org_article_fae304bee992403da8d39568fb1ac6f5</doaj_id><sourcerecordid>A612757605</sourcerecordid><originalsourceid>FETCH-LOGICAL-c546t-476a9529d6ba57dec88d0723964829bd72f6325d059579984c0ddf274754b8263</originalsourceid><addsrcrecordid>eNptkktvEzEUhUcIJEphz3IkNnQxxe_HMkqhRKoUCUq3lmd8PXE0GQfb4fHv6xAEREJeXOvqu0fHvqdpXmN0zbFm7yBn12HSYSk7ggh60lxgJURHORZP_7k_b17kvEVIMCz5RbO-30A7TrG3UzvFeewKpF27C0OK3-03aB9ghGJLiHO73pcwVOwG9mXTLqewswXaRRo2oYJvH9Y3y8XVy-aZt1OGV7_rZfPlw_v75cfubn27Wi7uuoEzUTomhdWcaCd6y6WDQSmHJKFaMEV07yTxghLuENdcaq3YgJzzRDLJWa-IoJfN6qTrot2afapm0k8TbTC_GjGNxqbqdwLjLVDEegCtCUPUWeWo5kL5HttBeF613py09il-PUAuZhsPaa72DaFMYaWE1n-p0VbRMPtYkh12IQ9mITCRXAp01Lr-D1WPg_qpcQYfav9s4OpsoDIFfpTRHnI2q8-fzll0Yut2ck7g_zwcI3NMgTmmwGBiagrMMQX0Ee9MoMs</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2348188699</pqid></control><display><type>article</type><title>The global long-term microwave Vegetation Optical Depth Climate Archive (VODCA)</title><source>Publicly Available Content Database</source><source>EZB Electronic Journals Library</source><creator>Moesinger, Leander ; Dorigo, Wouter ; de Jeu, Richard ; van der Schalie, Robin ; Scanlon, Tracy ; Teubner, Irene ; Forkel, Matthias</creator><creatorcontrib>Moesinger, Leander ; Dorigo, Wouter ; de Jeu, Richard ; van der Schalie, Robin ; Scanlon, Tracy ; Teubner, Irene ; Forkel, Matthias</creatorcontrib><description>Since the late 1970s, space-borne microwave radiometers have been providing measurements of radiation emitted by the Earth's surface. From these measurements it is possible to derive vegetation optical depth (VOD), a model-based indicator related to the density, biomass, and water content of vegetation. Because of its high temporal resolution and long availability, VOD can be used to monitor short- to long-term changes in vegetation. However, studying long-term VOD dynamics is generally hampered by the relatively short time span covered by the individual microwave sensors. This can potentially be overcome by merging multiple VOD products into a single climate data record. However, combining multiple sensors into a single product is challenging as systematic differences between input products like biases, different temporal and spatial resolutions, and coverage need to be overcome.</description><identifier>ISSN: 1866-3516</identifier><identifier>ISSN: 1866-3508</identifier><identifier>EISSN: 1866-3516</identifier><identifier>DOI: 10.5194/essd-12-177-2020</identifier><language>eng</language><publisher>Katlenburg-Lindau: Copernicus GmbH</publisher><subject>Advanced Very High Resolution Radiometer ; Anomalies ; Archives & records ; Autocorrelation ; C band ; Climate ; Climate and vegetation ; Climatic data ; Cloud cover ; Consistency ; Datasets ; Distribution functions ; Earth ; Earth surface ; Ecological monitoring ; Ecosystems ; Environmental changes ; Instruments ; Interpolation ; Leaf area ; Leaf area index ; Leaves ; Long-term changes ; Matching ; Microwave imagery ; Microwave radiometers ; Microwave sensors ; Moisture content ; Optical analysis ; Optical thickness ; Outliers (statistics) ; Plant cover ; Products ; Radiation ; Radiation measurement ; Radiometers ; Random errors ; Scaling ; Sensors ; Soil ; Soil moisture ; Soil surfaces ; Special Sensor Microwave Imager ; Spectral bands ; Structural members ; Superhigh frequencies ; Tropical environments ; Vegetation ; Video-on-demand ; Water content ; Water depth</subject><ispartof>Earth system science data, 2020-01, Vol.12 (1), p.177-196</ispartof><rights>COPYRIGHT 2020 Copernicus GmbH</rights><rights>2020. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c546t-476a9529d6ba57dec88d0723964829bd72f6325d059579984c0ddf274754b8263</citedby><cites>FETCH-LOGICAL-c546t-476a9529d6ba57dec88d0723964829bd72f6325d059579984c0ddf274754b8263</cites><orcidid>0000-0003-0363-9697 ; 0000-0001-7916-5593 ; 0000-0002-6813-5812 ; 0000-0001-8054-7572</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2348188699/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2348188699?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,25752,27923,27924,37011,44589,74897</link.rule.ids></links><search><creatorcontrib>Moesinger, Leander</creatorcontrib><creatorcontrib>Dorigo, Wouter</creatorcontrib><creatorcontrib>de Jeu, Richard</creatorcontrib><creatorcontrib>van der Schalie, Robin</creatorcontrib><creatorcontrib>Scanlon, Tracy</creatorcontrib><creatorcontrib>Teubner, Irene</creatorcontrib><creatorcontrib>Forkel, Matthias</creatorcontrib><title>The global long-term microwave Vegetation Optical Depth Climate Archive (VODCA)</title><title>Earth system science data</title><description>Since the late 1970s, space-borne microwave radiometers have been providing measurements of radiation emitted by the Earth's surface. From these measurements it is possible to derive vegetation optical depth (VOD), a model-based indicator related to the density, biomass, and water content of vegetation. Because of its high temporal resolution and long availability, VOD can be used to monitor short- to long-term changes in vegetation. However, studying long-term VOD dynamics is generally hampered by the relatively short time span covered by the individual microwave sensors. This can potentially be overcome by merging multiple VOD products into a single climate data record. However, combining multiple sensors into a single product is challenging as systematic differences between input products like biases, different temporal and spatial resolutions, and coverage need to be overcome.</description><subject>Advanced Very High Resolution Radiometer</subject><subject>Anomalies</subject><subject>Archives & records</subject><subject>Autocorrelation</subject><subject>C band</subject><subject>Climate</subject><subject>Climate and vegetation</subject><subject>Climatic data</subject><subject>Cloud cover</subject><subject>Consistency</subject><subject>Datasets</subject><subject>Distribution functions</subject><subject>Earth</subject><subject>Earth surface</subject><subject>Ecological monitoring</subject><subject>Ecosystems</subject><subject>Environmental changes</subject><subject>Instruments</subject><subject>Interpolation</subject><subject>Leaf area</subject><subject>Leaf area index</subject><subject>Leaves</subject><subject>Long-term changes</subject><subject>Matching</subject><subject>Microwave imagery</subject><subject>Microwave radiometers</subject><subject>Microwave sensors</subject><subject>Moisture content</subject><subject>Optical analysis</subject><subject>Optical thickness</subject><subject>Outliers (statistics)</subject><subject>Plant cover</subject><subject>Products</subject><subject>Radiation</subject><subject>Radiation measurement</subject><subject>Radiometers</subject><subject>Random errors</subject><subject>Scaling</subject><subject>Sensors</subject><subject>Soil</subject><subject>Soil moisture</subject><subject>Soil surfaces</subject><subject>Special Sensor Microwave Imager</subject><subject>Spectral bands</subject><subject>Structural members</subject><subject>Superhigh frequencies</subject><subject>Tropical environments</subject><subject>Vegetation</subject><subject>Video-on-demand</subject><subject>Water content</subject><subject>Water depth</subject><issn>1866-3516</issn><issn>1866-3508</issn><issn>1866-3516</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNptkktvEzEUhUcIJEphz3IkNnQxxe_HMkqhRKoUCUq3lmd8PXE0GQfb4fHv6xAEREJeXOvqu0fHvqdpXmN0zbFm7yBn12HSYSk7ggh60lxgJURHORZP_7k_b17kvEVIMCz5RbO-30A7TrG3UzvFeewKpF27C0OK3-03aB9ghGJLiHO73pcwVOwG9mXTLqewswXaRRo2oYJvH9Y3y8XVy-aZt1OGV7_rZfPlw_v75cfubn27Wi7uuoEzUTomhdWcaCd6y6WDQSmHJKFaMEV07yTxghLuENdcaq3YgJzzRDLJWa-IoJfN6qTrot2afapm0k8TbTC_GjGNxqbqdwLjLVDEegCtCUPUWeWo5kL5HttBeF613py09il-PUAuZhsPaa72DaFMYaWE1n-p0VbRMPtYkh12IQ9mITCRXAp01Lr-D1WPg_qpcQYfav9s4OpsoDIFfpTRHnI2q8-fzll0Yut2ck7g_zwcI3NMgTmmwGBiagrMMQX0Ee9MoMs</recordid><startdate>20200130</startdate><enddate>20200130</enddate><creator>Moesinger, Leander</creator><creator>Dorigo, Wouter</creator><creator>de Jeu, Richard</creator><creator>van der Schalie, Robin</creator><creator>Scanlon, Tracy</creator><creator>Teubner, Irene</creator><creator>Forkel, Matthias</creator><general>Copernicus GmbH</general><general>Copernicus Publications</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ISR</scope><scope>7SN</scope><scope>7TG</scope><scope>7TN</scope><scope>7UA</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BFMQW</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>H8D</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>L6V</scope><scope>L7M</scope><scope>M7S</scope><scope>PCBAR</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0003-0363-9697</orcidid><orcidid>https://orcid.org/0000-0001-7916-5593</orcidid><orcidid>https://orcid.org/0000-0002-6813-5812</orcidid><orcidid>https://orcid.org/0000-0001-8054-7572</orcidid></search><sort><creationdate>20200130</creationdate><title>The global long-term microwave Vegetation Optical Depth Climate Archive (VODCA)</title><author>Moesinger, Leander ; Dorigo, Wouter ; de Jeu, Richard ; van der Schalie, Robin ; Scanlon, Tracy ; Teubner, Irene ; Forkel, Matthias</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c546t-476a9529d6ba57dec88d0723964829bd72f6325d059579984c0ddf274754b8263</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Advanced Very High Resolution Radiometer</topic><topic>Anomalies</topic><topic>Archives & records</topic><topic>Autocorrelation</topic><topic>C band</topic><topic>Climate</topic><topic>Climate and vegetation</topic><topic>Climatic data</topic><topic>Cloud cover</topic><topic>Consistency</topic><topic>Datasets</topic><topic>Distribution functions</topic><topic>Earth</topic><topic>Earth surface</topic><topic>Ecological monitoring</topic><topic>Ecosystems</topic><topic>Environmental changes</topic><topic>Instruments</topic><topic>Interpolation</topic><topic>Leaf area</topic><topic>Leaf area index</topic><topic>Leaves</topic><topic>Long-term changes</topic><topic>Matching</topic><topic>Microwave imagery</topic><topic>Microwave radiometers</topic><topic>Microwave sensors</topic><topic>Moisture content</topic><topic>Optical analysis</topic><topic>Optical thickness</topic><topic>Outliers (statistics)</topic><topic>Plant cover</topic><topic>Products</topic><topic>Radiation</topic><topic>Radiation measurement</topic><topic>Radiometers</topic><topic>Random errors</topic><topic>Scaling</topic><topic>Sensors</topic><topic>Soil</topic><topic>Soil moisture</topic><topic>Soil surfaces</topic><topic>Special Sensor Microwave Imager</topic><topic>Spectral bands</topic><topic>Structural members</topic><topic>Superhigh frequencies</topic><topic>Tropical environments</topic><topic>Vegetation</topic><topic>Video-on-demand</topic><topic>Water content</topic><topic>Water depth</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Moesinger, Leander</creatorcontrib><creatorcontrib>Dorigo, Wouter</creatorcontrib><creatorcontrib>de Jeu, Richard</creatorcontrib><creatorcontrib>van der Schalie, Robin</creatorcontrib><creatorcontrib>Scanlon, Tracy</creatorcontrib><creatorcontrib>Teubner, Irene</creatorcontrib><creatorcontrib>Forkel, Matthias</creatorcontrib><collection>CrossRef</collection><collection>Gale In Context: Science</collection><collection>Ecology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Continental Europe Database</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aerospace Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>ProQuest Engineering Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Engineering Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Earth system science data</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Moesinger, Leander</au><au>Dorigo, Wouter</au><au>de Jeu, Richard</au><au>van der Schalie, Robin</au><au>Scanlon, Tracy</au><au>Teubner, Irene</au><au>Forkel, Matthias</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The global long-term microwave Vegetation Optical Depth Climate Archive (VODCA)</atitle><jtitle>Earth system science data</jtitle><date>2020-01-30</date><risdate>2020</risdate><volume>12</volume><issue>1</issue><spage>177</spage><epage>196</epage><pages>177-196</pages><issn>1866-3516</issn><issn>1866-3508</issn><eissn>1866-3516</eissn><abstract>Since the late 1970s, space-borne microwave radiometers have been providing measurements of radiation emitted by the Earth's surface. From these measurements it is possible to derive vegetation optical depth (VOD), a model-based indicator related to the density, biomass, and water content of vegetation. Because of its high temporal resolution and long availability, VOD can be used to monitor short- to long-term changes in vegetation. However, studying long-term VOD dynamics is generally hampered by the relatively short time span covered by the individual microwave sensors. This can potentially be overcome by merging multiple VOD products into a single climate data record. However, combining multiple sensors into a single product is challenging as systematic differences between input products like biases, different temporal and spatial resolutions, and coverage need to be overcome.</abstract><cop>Katlenburg-Lindau</cop><pub>Copernicus GmbH</pub><doi>10.5194/essd-12-177-2020</doi><tpages>20</tpages><orcidid>https://orcid.org/0000-0003-0363-9697</orcidid><orcidid>https://orcid.org/0000-0001-7916-5593</orcidid><orcidid>https://orcid.org/0000-0002-6813-5812</orcidid><orcidid>https://orcid.org/0000-0001-8054-7572</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1866-3516 |
| ispartof | Earth system science data, 2020-01, Vol.12 (1), p.177-196 |
| issn | 1866-3516 1866-3508 1866-3516 |
| language | eng |
| recordid | cdi_doaj_primary_oai_doaj_org_article_fae304bee992403da8d39568fb1ac6f5 |
| source | Publicly Available Content Database; EZB Electronic Journals Library |
| subjects | Advanced Very High Resolution Radiometer Anomalies Archives & records Autocorrelation C band Climate Climate and vegetation Climatic data Cloud cover Consistency Datasets Distribution functions Earth Earth surface Ecological monitoring Ecosystems Environmental changes Instruments Interpolation Leaf area Leaf area index Leaves Long-term changes Matching Microwave imagery Microwave radiometers Microwave sensors Moisture content Optical analysis Optical thickness Outliers (statistics) Plant cover Products Radiation Radiation measurement Radiometers Random errors Scaling Sensors Soil Soil moisture Soil surfaces Special Sensor Microwave Imager Spectral bands Structural members Superhigh frequencies Tropical environments Vegetation Video-on-demand Water content Water depth |
| title | The global long-term microwave Vegetation Optical Depth Climate Archive (VODCA) |
| url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-10T10%3A26%3A54IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=The%20global%20long-term%20microwave%20Vegetation%20Optical%20Depth%20Climate%20Archive%20(VODCA)&rft.jtitle=Earth%20system%20science%20data&rft.au=Moesinger,%20Leander&rft.date=2020-01-30&rft.volume=12&rft.issue=1&rft.spage=177&rft.epage=196&rft.pages=177-196&rft.issn=1866-3516&rft.eissn=1866-3516&rft_id=info:doi/10.5194/essd-12-177-2020&rft_dat=%3Cgale_doaj_%3EA612757605%3C/gale_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c546t-476a9529d6ba57dec88d0723964829bd72f6325d059579984c0ddf274754b8263%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2348188699&rft_id=info:pmid/&rft_galeid=A612757605&rfr_iscdi=true |