Forest biomass estimation through NDVI composites. The role of remotely sensed data to assess Spanish forests as carbon sinks
The present study is focused on the capabilities of remote sensing data and techniques to help in the monitoring of forest ecosystems as carbon sinks. It will attempt to find statistical relationships between satellite-derived NDVI (Normalized Difference Vegetation Index) data from SPOT-VEGETATION a...
Gespeichert in:
| Veröffentlicht in: | International journal of remote sensing 2006-12, Vol.27 (24), p.5409-5415 |
|---|---|
| Hauptverfasser: | , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 5415 |
|---|---|
| container_issue | 24 |
| container_start_page | 5409 |
| container_title | International journal of remote sensing |
| container_volume | 27 |
| creator | González-Alonso, F. Merino-De-Miguel, S. Roldán-Zamarrón, A. García-Gigorro, S. Cuevas, J. M. |
| description | The present study is focused on the capabilities of remote sensing data and techniques to help in the monitoring of forest ecosystems as carbon sinks. It will attempt to find statistical relationships between satellite-derived NDVI (Normalized Difference Vegetation Index) data from SPOT-VEGETATION and NOAA-AVHRR and field measurements from the Spanish National Forest Inventory on the geographical basis of provinces. Statistically significant relationships were obtained when correlating the aforementioned datasets. These relationships were then used to predict forest biomass at a national level, in order to obtain updated forest information between consecutive National Forest Inventories. |
| doi_str_mv | 10.1080/01431160600830748 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_pasca</sourceid><recordid>TN_cdi_proquest_miscellaneous_29253852</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>29253852</sourcerecordid><originalsourceid>FETCH-LOGICAL-c407t-a51028fe4f61f32b685c16cf191743a49be5b8eb1adaba77d31ed8c9ae7e8d23</originalsourceid><addsrcrecordid>eNqFkMFO3DAQhi1UpG4pD9CbL_QWsOMkdiQuFS0FCdEDK67RxBmzbpN46_Gq3UPfvV4W1AOqONmy_--b0c_YBylOpTDiTMhKSdmIRgijhK7MAVtI1TRF3Qr5hi12_0UOyLfsHdF3IUSja71gfy5DREq892ECIp7vfoLkw8zTKobNw4rffr6_5jZM60A-IZ3y5Qp5DCPy4HjEKSQct5xwJhz4AAl4Cjy7MOvu1jB7WnH3OIXyM7cQ-2wnP_-g9-zQwUh4_HQeseXll-XFVXHz7ev1xaebwlZCpwJqKUrjsHKNdKrsG1Nb2VgnW6krBVXbY90b7CUM0IPWg5I4GNsCajRDqY7Yx712HcPPTV6kmzxZHEeYMWyoK9uyVqbeBeU-aGMgiui6dcx1xG0nRbfruXvRc2ZOnuRAFkYXYbae_oFGtao1Vc7pfc7PuY0JfoU4Dl2C7RjiM_TC3qXfKZPnr5Lq_wv-BRxWpKQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>29253852</pqid></control><display><type>article</type><title>Forest biomass estimation through NDVI composites. The role of remotely sensed data to assess Spanish forests as carbon sinks</title><source>Taylor & Francis</source><creator>González-Alonso, F. ; Merino-De-Miguel, S. ; Roldán-Zamarrón, A. ; García-Gigorro, S. ; Cuevas, J. M.</creator><creatorcontrib>González-Alonso, F. ; Merino-De-Miguel, S. ; Roldán-Zamarrón, A. ; García-Gigorro, S. ; Cuevas, J. M.</creatorcontrib><description>The present study is focused on the capabilities of remote sensing data and techniques to help in the monitoring of forest ecosystems as carbon sinks. It will attempt to find statistical relationships between satellite-derived NDVI (Normalized Difference Vegetation Index) data from SPOT-VEGETATION and NOAA-AVHRR and field measurements from the Spanish National Forest Inventory on the geographical basis of provinces. Statistically significant relationships were obtained when correlating the aforementioned datasets. These relationships were then used to predict forest biomass at a national level, in order to obtain updated forest information between consecutive National Forest Inventories.</description><identifier>ISSN: 0143-1161</identifier><identifier>EISSN: 1366-5901</identifier><identifier>DOI: 10.1080/01431160600830748</identifier><identifier>CODEN: IJSEDK</identifier><language>eng</language><publisher>Abingdon: Taylor & Francis</publisher><subject>Animal, plant and microbial ecology ; Applied geophysics ; Biological and medical sciences ; Earth sciences ; Earth, ocean, space ; Exact sciences and technology ; Fundamental and applied biological sciences. Psychology ; General aspects. Techniques ; Internal geophysics ; Teledetection and vegetation maps</subject><ispartof>International journal of remote sensing, 2006-12, Vol.27 (24), p.5409-5415</ispartof><rights>Copyright Taylor & Francis Group, LLC 2006</rights><rights>2007 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c407t-a51028fe4f61f32b685c16cf191743a49be5b8eb1adaba77d31ed8c9ae7e8d23</citedby><cites>FETCH-LOGICAL-c407t-a51028fe4f61f32b685c16cf191743a49be5b8eb1adaba77d31ed8c9ae7e8d23</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.tandfonline.com/doi/pdf/10.1080/01431160600830748$$EPDF$$P50$$Ginformaworld$$H</linktopdf><linktohtml>$$Uhttps://www.tandfonline.com/doi/full/10.1080/01431160600830748$$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=18393984$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>González-Alonso, F.</creatorcontrib><creatorcontrib>Merino-De-Miguel, S.</creatorcontrib><creatorcontrib>Roldán-Zamarrón, A.</creatorcontrib><creatorcontrib>García-Gigorro, S.</creatorcontrib><creatorcontrib>Cuevas, J. M.</creatorcontrib><title>Forest biomass estimation through NDVI composites. The role of remotely sensed data to assess Spanish forests as carbon sinks</title><title>International journal of remote sensing</title><description>The present study is focused on the capabilities of remote sensing data and techniques to help in the monitoring of forest ecosystems as carbon sinks. It will attempt to find statistical relationships between satellite-derived NDVI (Normalized Difference Vegetation Index) data from SPOT-VEGETATION and NOAA-AVHRR and field measurements from the Spanish National Forest Inventory on the geographical basis of provinces. Statistically significant relationships were obtained when correlating the aforementioned datasets. These relationships were then used to predict forest biomass at a national level, in order to obtain updated forest information between consecutive National Forest Inventories.</description><subject>Animal, plant and microbial ecology</subject><subject>Applied geophysics</subject><subject>Biological and medical sciences</subject><subject>Earth sciences</subject><subject>Earth, ocean, space</subject><subject>Exact sciences and technology</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>General aspects. Techniques</subject><subject>Internal geophysics</subject><subject>Teledetection and vegetation maps</subject><issn>0143-1161</issn><issn>1366-5901</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2006</creationdate><recordtype>article</recordtype><recordid>eNqFkMFO3DAQhi1UpG4pD9CbL_QWsOMkdiQuFS0FCdEDK67RxBmzbpN46_Gq3UPfvV4W1AOqONmy_--b0c_YBylOpTDiTMhKSdmIRgijhK7MAVtI1TRF3Qr5hi12_0UOyLfsHdF3IUSja71gfy5DREq892ECIp7vfoLkw8zTKobNw4rffr6_5jZM60A-IZ3y5Qp5DCPy4HjEKSQct5xwJhz4AAl4Cjy7MOvu1jB7WnH3OIXyM7cQ-2wnP_-g9-zQwUh4_HQeseXll-XFVXHz7ev1xaebwlZCpwJqKUrjsHKNdKrsG1Nb2VgnW6krBVXbY90b7CUM0IPWg5I4GNsCajRDqY7Yx712HcPPTV6kmzxZHEeYMWyoK9uyVqbeBeU-aGMgiui6dcx1xG0nRbfruXvRc2ZOnuRAFkYXYbae_oFGtao1Vc7pfc7PuY0JfoU4Dl2C7RjiM_TC3qXfKZPnr5Lq_wv-BRxWpKQ</recordid><startdate>20061201</startdate><enddate>20061201</enddate><creator>González-Alonso, F.</creator><creator>Merino-De-Miguel, S.</creator><creator>Roldán-Zamarrón, A.</creator><creator>García-Gigorro, S.</creator><creator>Cuevas, J. M.</creator><general>Taylor & Francis</general><general>Taylor and Francis</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>FR3</scope><scope>H8D</scope><scope>KR7</scope><scope>L7M</scope></search><sort><creationdate>20061201</creationdate><title>Forest biomass estimation through NDVI composites. The role of remotely sensed data to assess Spanish forests as carbon sinks</title><author>González-Alonso, F. ; Merino-De-Miguel, S. ; Roldán-Zamarrón, A. ; García-Gigorro, S. ; Cuevas, J. M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c407t-a51028fe4f61f32b685c16cf191743a49be5b8eb1adaba77d31ed8c9ae7e8d23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Animal, plant and microbial ecology</topic><topic>Applied geophysics</topic><topic>Biological and medical sciences</topic><topic>Earth sciences</topic><topic>Earth, ocean, space</topic><topic>Exact sciences and technology</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>General aspects. Techniques</topic><topic>Internal geophysics</topic><topic>Teledetection and vegetation maps</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>González-Alonso, F.</creatorcontrib><creatorcontrib>Merino-De-Miguel, S.</creatorcontrib><creatorcontrib>Roldán-Zamarrón, A.</creatorcontrib><creatorcontrib>García-Gigorro, S.</creatorcontrib><creatorcontrib>Cuevas, J. M.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>International journal of remote sensing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>González-Alonso, F.</au><au>Merino-De-Miguel, S.</au><au>Roldán-Zamarrón, A.</au><au>García-Gigorro, S.</au><au>Cuevas, J. M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Forest biomass estimation through NDVI composites. The role of remotely sensed data to assess Spanish forests as carbon sinks</atitle><jtitle>International journal of remote sensing</jtitle><date>2006-12-01</date><risdate>2006</risdate><volume>27</volume><issue>24</issue><spage>5409</spage><epage>5415</epage><pages>5409-5415</pages><issn>0143-1161</issn><eissn>1366-5901</eissn><coden>IJSEDK</coden><abstract>The present study is focused on the capabilities of remote sensing data and techniques to help in the monitoring of forest ecosystems as carbon sinks. It will attempt to find statistical relationships between satellite-derived NDVI (Normalized Difference Vegetation Index) data from SPOT-VEGETATION and NOAA-AVHRR and field measurements from the Spanish National Forest Inventory on the geographical basis of provinces. Statistically significant relationships were obtained when correlating the aforementioned datasets. These relationships were then used to predict forest biomass at a national level, in order to obtain updated forest information between consecutive National Forest Inventories.</abstract><cop>Abingdon</cop><pub>Taylor & Francis</pub><doi>10.1080/01431160600830748</doi><tpages>7</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0143-1161 |
| ispartof | International journal of remote sensing, 2006-12, Vol.27 (24), p.5409-5415 |
| issn | 0143-1161 1366-5901 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_29253852 |
| source | Taylor & Francis |
| subjects | Animal, plant and microbial ecology Applied geophysics Biological and medical sciences Earth sciences Earth, ocean, space Exact sciences and technology Fundamental and applied biological sciences. Psychology General aspects. Techniques Internal geophysics Teledetection and vegetation maps |
| title | Forest biomass estimation through NDVI composites. The role of remotely sensed data to assess Spanish forests as carbon sinks |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-17T22%3A41%3A37IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pasca&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Forest%20biomass%20estimation%20through%20NDVI%20composites.%20The%20role%20of%20remotely%20sensed%20data%20to%20assess%20Spanish%20forests%20as%20carbon%20sinks&rft.jtitle=International%20journal%20of%20remote%20sensing&rft.au=Gonz%C3%A1lez-Alonso,%20F.&rft.date=2006-12-01&rft.volume=27&rft.issue=24&rft.spage=5409&rft.epage=5415&rft.pages=5409-5415&rft.issn=0143-1161&rft.eissn=1366-5901&rft.coden=IJSEDK&rft_id=info:doi/10.1080/01431160600830748&rft_dat=%3Cproquest_pasca%3E29253852%3C/proquest_pasca%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=29253852&rft_id=info:pmid/&rfr_iscdi=true |