A Study of the Optimal Radial Spatial Averaging to Improve Sentinel-1 Satellite Ocean Wind Retrievals

Please see attached pdf.

Bibliographic Details
Author: Escalera I Mendo, Aina
Format: master thesis
Publication Date:2024
Country:España
Institution:Universitat Politècnica de Catalunya (UPC)
Repository:UPCommons. Portal del coneixement obert de la UPC
Language:English
OAI Identifier:oai:upcommons.upc.edu:2117/422865
Online Access:https://hdl.handle.net/2117/422865
Access Level:Open access
Keyword:Remote sensing
Synthetic aperture radar
Wind power
Remote Sensing
Synthetic Aperture Radar
Spatial Averaging
Offshore Wind Energy
Teledetecció
Radar d'obertura sintètica
Energia eolica
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Radar
id ES_391bbd26a0af65661e4c4ef0b4e7b0b7
oai_identifier_str oai:upcommons.upc.edu:2117/422865
network_acronym_str ES
network_name_str España
repository_id_str
spelling A Study of the Optimal Radial Spatial Averaging to Improve Sentinel-1 Satellite Ocean Wind RetrievalsEscalera I Mendo, AinaRemote sensingSynthetic aperture radarWind powerRemote SensingSynthetic Aperture RadarSpatial AveragingOffshore Wind EnergyTeledeteccióRadar d'obertura sintèticaEnergia eolicaÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::RadarPlease see attached pdf.This thesis investigates the possibility of improving the ocean wind measures from the Synthetic Aperture Radar (SAR) in the Sentinel-1 (S-1) satellite mission. This is done by focusing on the optimization of the spatial resolution to improve the accuracy and reliability of the measures of ocean surface wind measures. This improvement can be of great help as offshore wind farms are deployed further out to the sea, so the best resolution is crucial to planning the next placements. SARs imaging high-resolution, can offer a great solution for remote wind sensing in the ocean. The research has four main objectives. The first one is to compare Sentinel-1 Level 1 (L1) and Level 2 (L2) products with in-situ measurements to study their validity and accuracy, as well as their effectiveness in different atmospheric stability scenarios. The second objective is to find the optimal spatial averaging for wind retrievals from Sentinel-1 as the resolution offered is too coarse, and it could improve the noise and accuracy of the wind signals. This is directly related to the third objective, where the improvement of the resolution is aimed at retrieving measures within off-shore wind farms in the presence of wind turbines. To achieve it, a new processing pipeline for SAR retrievals will be proposed as an alternative to the already-processed L2 products delivered by the satellite operators. The fourth objective is to create a handbook of open sources of in-situ wind retrievals on the North Sea for further validation of SAR products. To achieve the objectives, the methodology used incorporates Sentinel-1 SAR data, in-situ meteorological mast, and algorithms for wind profile extrapolation and spatial averaging. The study starts with an overview of different wind retrieval methods using SAR, using intercomparison criteria and the Monin-Obukhov theory. Some of the findings of the research are the improvement of the accuracy of the SAR wind measurements along with an improvement of their spatial resolution. An optimal spatial averaging area for speckle noise reduction was also found, giving enough resolution and an accurate measure from the wind, which are crucial for the application on offshore wind farms planning and monitoring. This study advances on the understanding of SAR wind retrieval, not only in the scientific field but also in the implications on the wind energy industry and its deployment of offshore wind farms.Universitat Politècnica de CatalunyaSalcedo Bosch, AndreuRocadenbosch Burillo, Francisco20242024-07-0520252025-01-27master thesishttp://purl.org/coar/resource_type/c_bdccNAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/masterThesisapplication/pdfhttps://hdl.handle.net/2117/422865reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/4228652026-05-27T15:37:01Z
dc.title.none.fl_str_mv A Study of the Optimal Radial Spatial Averaging to Improve Sentinel-1 Satellite Ocean Wind Retrievals
title A Study of the Optimal Radial Spatial Averaging to Improve Sentinel-1 Satellite Ocean Wind Retrievals
spellingShingle A Study of the Optimal Radial Spatial Averaging to Improve Sentinel-1 Satellite Ocean Wind Retrievals
Escalera I Mendo, Aina
Remote sensing
Synthetic aperture radar
Wind power
Remote Sensing
Synthetic Aperture Radar
Spatial Averaging
Offshore Wind Energy
Teledetecció
Radar d'obertura sintètica
Energia eolica
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Radar
title_short A Study of the Optimal Radial Spatial Averaging to Improve Sentinel-1 Satellite Ocean Wind Retrievals
title_full A Study of the Optimal Radial Spatial Averaging to Improve Sentinel-1 Satellite Ocean Wind Retrievals
title_fullStr A Study of the Optimal Radial Spatial Averaging to Improve Sentinel-1 Satellite Ocean Wind Retrievals
title_full_unstemmed A Study of the Optimal Radial Spatial Averaging to Improve Sentinel-1 Satellite Ocean Wind Retrievals
title_sort A Study of the Optimal Radial Spatial Averaging to Improve Sentinel-1 Satellite Ocean Wind Retrievals
dc.creator.none.fl_str_mv Escalera I Mendo, Aina
author Escalera I Mendo, Aina
author_facet Escalera I Mendo, Aina
author_role author
dc.contributor.none.fl_str_mv Salcedo Bosch, Andreu
Rocadenbosch Burillo, Francisco
dc.subject.none.fl_str_mv Remote sensing
Synthetic aperture radar
Wind power
Remote Sensing
Synthetic Aperture Radar
Spatial Averaging
Offshore Wind Energy
Teledetecció
Radar d'obertura sintètica
Energia eolica
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Radar
topic Remote sensing
Synthetic aperture radar
Wind power
Remote Sensing
Synthetic Aperture Radar
Spatial Averaging
Offshore Wind Energy
Teledetecció
Radar d'obertura sintètica
Energia eolica
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Radar
description Please see attached pdf.
publishDate 2024
dc.date.none.fl_str_mv 2024
2024-07-05
2025
2025-01-27
dc.type.none.fl_str_mv master thesis
http://purl.org/coar/resource_type/c_bdcc
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/422865
url https://hdl.handle.net/2117/422865
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universitat Politècnica de Catalunya
publisher.none.fl_str_mv Universitat Politècnica de Catalunya
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869406144034766848
score 15,811543