Assessing hypertemporal SENTINEL-1 COHERENCE maps for LAND COVER monitoring
This paper presents the main concepts and the initial analysis of the ESA SEOM project SInCohMap "EXPLOITATION OF SENTINEL-1 INTERFEROMETRIC COHERENCE FOR LAND COVER AND VEGETATION MAPPING". The project evaluates the performance of using the interferometric coherence of S-1 time series for...
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| creator | Vicente-Guijalba, F. Duro, J. Notarnicola, C. Jacob, A. Sonnenschein, R. Mallorqui, J. J. Lopez-Martinez, C. Ziolkowski, D. Hoscilo, A. Dabrowska-Zielinska, K. Bochenek, Z. Pottier, E. Lavalle, M. Lopez-Sanchez, J. M. Engdahl, Marcus |
| description | This paper presents the main concepts and the initial analysis of the ESA SEOM project SInCohMap "EXPLOITATION OF SENTINEL-1 INTERFEROMETRIC COHERENCE FOR LAND COVER AND VEGETATION MAPPING". The project evaluates the performance of using the interferometric coherence of S-1 time series for land cover and vegetation mapping. One of the main objectives of the project is to quantify the impact in using S-1 InSAR (Interferometric Synthetic Aperture Radar) data relative to traditional land cover and vegetation mapping using optical data (especially Sentinel-2, hereafter named S-2) or SAR-based (Synthetic Aperture Radar) approaches. In this framework, a Round-Robin consultation is used to assess the performances of the different classification methodologies. |
| doi_str_mv | 10.1109/Multi-Temp.2017.8035240 |
| format | Conference Proceeding |
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J. ; Lopez-Martinez, C. ; Ziolkowski, D. ; Hoscilo, A. ; Dabrowska-Zielinska, K. ; Bochenek, Z. ; Pottier, E. ; Lavalle, M. ; Lopez-Sanchez, J. M. ; Engdahl, Marcus</creator><creatorcontrib>Vicente-Guijalba, F. ; Duro, J. ; Notarnicola, C. ; Jacob, A. ; Sonnenschein, R. ; Mallorqui, J. J. ; Lopez-Martinez, C. ; Ziolkowski, D. ; Hoscilo, A. ; Dabrowska-Zielinska, K. ; Bochenek, Z. ; Pottier, E. ; Lavalle, M. ; Lopez-Sanchez, J. M. ; Engdahl, Marcus</creatorcontrib><description>This paper presents the main concepts and the initial analysis of the ESA SEOM project SInCohMap "EXPLOITATION OF SENTINEL-1 INTERFEROMETRIC COHERENCE FOR LAND COVER AND VEGETATION MAPPING". The project evaluates the performance of using the interferometric coherence of S-1 time series for land cover and vegetation mapping. One of the main objectives of the project is to quantify the impact in using S-1 InSAR (Interferometric Synthetic Aperture Radar) data relative to traditional land cover and vegetation mapping using optical data (especially Sentinel-2, hereafter named S-2) or SAR-based (Synthetic Aperture Radar) approaches. 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J.</creatorcontrib><creatorcontrib>Lopez-Martinez, C.</creatorcontrib><creatorcontrib>Ziolkowski, D.</creatorcontrib><creatorcontrib>Hoscilo, A.</creatorcontrib><creatorcontrib>Dabrowska-Zielinska, K.</creatorcontrib><creatorcontrib>Bochenek, Z.</creatorcontrib><creatorcontrib>Pottier, E.</creatorcontrib><creatorcontrib>Lavalle, M.</creatorcontrib><creatorcontrib>Lopez-Sanchez, J. M.</creatorcontrib><creatorcontrib>Engdahl, Marcus</creatorcontrib><title>Assessing hypertemporal SENTINEL-1 COHERENCE maps for LAND COVER monitoring</title><title>2017 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp)</title><addtitle>Multi-Temp</addtitle><description>This paper presents the main concepts and the initial analysis of the ESA SEOM project SInCohMap "EXPLOITATION OF SENTINEL-1 INTERFEROMETRIC COHERENCE FOR LAND COVER AND VEGETATION MAPPING". The project evaluates the performance of using the interferometric coherence of S-1 time series for land cover and vegetation mapping. One of the main objectives of the project is to quantify the impact in using S-1 InSAR (Interferometric Synthetic Aperture Radar) data relative to traditional land cover and vegetation mapping using optical data (especially Sentinel-2, hereafter named S-2) or SAR-based (Synthetic Aperture Radar) approaches. In this framework, a Round-Robin consultation is used to assess the performances of the different classification methodologies.</description><subject>Coherence</subject><subject>Computer Science</subject><subject>Electronics</subject><subject>Engineering Sciences</subject><subject>Enginyeria de la telecomunicació</subject><subject>Fingerprint recognition</subject><subject>Land-cover</subject><subject>Networking and Internet Architecture</subject><subject>Optical interferometry</subject><subject>Radiocomunicació i exploració electromagnètica</subject><subject>Remote sensing</subject><subject>Sentinel-1</subject><subject>Synthetic aperture radar</subject><subject>Teledetecció</subject><subject>Time series analysis</subject><subject>Vegetation</subject><subject>Vegetation mapping</subject><subject>Àrees temàtiques de la UPC</subject><isbn>9781538633281</isbn><isbn>1538633280</isbn><isbn>9781538633274</isbn><isbn>1538633272</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2017</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><sourceid>XX2</sourceid><recordid>eNpVkEFLw0AQhVdEUGp_gQdz9ZC6s7vZ3RxDjLYYU6jVa9gmszaSNCWbCv33NrYUPAzDe3zvDQwh90AnADR8fNvVfeUvsdlOGAU10ZQHTNALMg6VhoBryTlT4vKf1nBNxs59U0ohFFordkNeI-fQuWrz5a33W-z6Q2Xbmdp7T7LlLEtSH7x4Pk0WSRYnXmO2zrNt56VR9nTwP5OF17Sbqm-7Q8MtubKmdjg-7RH5eE6W8dRP5y-zOEr9AqTsfWtWHEoJEBiDUjFaSMBShKXQQUkls4XgKAWi4dyW1CINV9qiECLkliLwEXk49q5NnW-7qjHdPm9NlU-jNB88CpIrAfRnYOHIFm5X5B0W2BWm_6PPYhhGFct5AAqGzN0xUyHi-cDpxfwXncVuDw</recordid><startdate>201706</startdate><enddate>201706</enddate><creator>Vicente-Guijalba, F.</creator><creator>Duro, J.</creator><creator>Notarnicola, C.</creator><creator>Jacob, A.</creator><creator>Sonnenschein, R.</creator><creator>Mallorqui, J. 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J. ; Lopez-Martinez, C. ; Ziolkowski, D. ; Hoscilo, A. ; Dabrowska-Zielinska, K. ; Bochenek, Z. ; Pottier, E. ; Lavalle, M. ; Lopez-Sanchez, J. 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M.</creatorcontrib><creatorcontrib>Engdahl, Marcus</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection><collection>Recercat</collection><collection>Hyper Article en Ligne (HAL)</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Vicente-Guijalba, F.</au><au>Duro, J.</au><au>Notarnicola, C.</au><au>Jacob, A.</au><au>Sonnenschein, R.</au><au>Mallorqui, J. J.</au><au>Lopez-Martinez, C.</au><au>Ziolkowski, D.</au><au>Hoscilo, A.</au><au>Dabrowska-Zielinska, K.</au><au>Bochenek, Z.</au><au>Pottier, E.</au><au>Lavalle, M.</au><au>Lopez-Sanchez, J. M.</au><au>Engdahl, Marcus</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Assessing hypertemporal SENTINEL-1 COHERENCE maps for LAND COVER monitoring</atitle><btitle>2017 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp)</btitle><stitle>Multi-Temp</stitle><date>2017-06</date><risdate>2017</risdate><spage>1</spage><epage>3</epage><pages>1-3</pages><isbn>9781538633281</isbn><isbn>1538633280</isbn><eisbn>9781538633274</eisbn><eisbn>1538633272</eisbn><abstract>This paper presents the main concepts and the initial analysis of the ESA SEOM project SInCohMap "EXPLOITATION OF SENTINEL-1 INTERFEROMETRIC COHERENCE FOR LAND COVER AND VEGETATION MAPPING". The project evaluates the performance of using the interferometric coherence of S-1 time series for land cover and vegetation mapping. One of the main objectives of the project is to quantify the impact in using S-1 InSAR (Interferometric Synthetic Aperture Radar) data relative to traditional land cover and vegetation mapping using optical data (especially Sentinel-2, hereafter named S-2) or SAR-based (Synthetic Aperture Radar) approaches. In this framework, a Round-Robin consultation is used to assess the performances of the different classification methodologies.</abstract><pub>IEEE</pub><doi>10.1109/Multi-Temp.2017.8035240</doi><tpages>3</tpages><orcidid>https://orcid.org/0000-0002-5165-1423</orcidid><orcidid>https://orcid.org/0000-0002-5114-6697</orcidid><oa>free_for_read</oa></addata></record> |
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| identifier | ISBN: 9781538633281 |
| ispartof | 2017 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp), 2017, p.1-3 |
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| language | eng |
| recordid | cdi_csuc_recercat_oai_recercat_cat_2072_351711 |
| source | Recercat |
| subjects | Coherence Computer Science Electronics Engineering Sciences Enginyeria de la telecomunicació Fingerprint recognition Land-cover Networking and Internet Architecture Optical interferometry Radiocomunicació i exploració electromagnètica Remote sensing Sentinel-1 Synthetic aperture radar Teledetecció Time series analysis Vegetation Vegetation mapping Àrees temàtiques de la UPC |
| title | Assessing hypertemporal SENTINEL-1 COHERENCE maps for LAND COVER monitoring |
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