[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-203522-105":59,"doc-detail-203522-en":130},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":123,"head_meta":125,"extra_data":127,"updated_unix":129},105,"en","fiducial-reference-measurement-for-calval","Fiducial Reference Measurement for Cal/Val","","This slide deck discusses Calibration/Validation (Cal/Val) for Earth Observation data products, focusing on how to quantify system response to known signals and how to assess data quality using independent methods. It introduces QA4EO principles for open access, quality indicators traceable to reference standards, and a “fitness for purpose” view of product usability. It then details calibration reliance on on-ground systems and outlines generic validation approaches using fiducial reference measurements, in-situ data, other sources, models, and Level-3 cross-comparisons.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/fiducial-reference-measurement-for-calval/203522/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/fiducial-reference-measurement-for-calval/203522.png","ImageObject",300,407,{"name":92,"@type":93},"Melati","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-09-19","2026-09-04",true,{"@type":102,"interactionType":103,"userInteractionCount":81},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What is calibration in the Cal/Val context?","Question",{"text":112,"@type":113},"Calibration quantitatively defines a system’s response to known and controlled signal inputs.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"How does validation differ from calibration?",{"text":117,"@type":113},"Validation assesses, using independent means, the quality of data products derived from system outputs.",{"name":119,"@type":110,"acceptedAnswer":120},"What mandatory characteristics define Fiducial Reference Measurements (FRM)?",{"text":121,"@type":113},"FRM must have documented SI traceability, be independent from the satellite geophysical retrieval process, maintain an uncertainty budget, define open protocols and community-wide management practices, be accessible for independent verification, and support determining on-orbit uncertainty characteristics.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},203522,1788561645,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":81,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":139,"language":140,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":67,"update_tm":129,"read_time":36},962085570644,"https://ap-avatar.wpscdn.com/davatar_994ba38a5ba835b3df7d355c54d3ed8d","Issue/Revision:  \nReference:  \nStatus:  \nESA UNCLASSIFIED Official  \nFiducial Reference Measurement for Cal/Val  \nPhilippe Goryl  \nSensor Performance Product Algorith  \nm  \nESA/ESRIN  \nCopernicus – European Leadership in EO  \nSlide 2  \nCurrently  \n13 ESA satellites (11 missions) in Phase E 􀃆 2 new in 2017  4 ESA heritage missions  \n~~ ~~ 30+ third party and contributing missions  \ners-1   ers-2      3   \n  ESA Third Party Missions (landsat, spot, e-pop, gosat, alos, terrasar, etc.)   \nCopernicus Contributing Missions (pleiades, cosmo-skymed, terrasar, deimos, planet, etc.)   \nIn development     \n13 ESA missions to be launched before 2024 future of third party & contributing missions  \naltius  \ners-1   ers-2      3       ee-9   \nESA Third Party Missions (landsat, spot, e-pop, gosat, alos, terrasar, etc.)   \nCopernicus Contributing Missions (pleiades, cosmo-skymed, terrasar, deimos, planet, etc.)   \nBig Data Revolution  \nESA EO Data Archive Petabyte  \n110  \n100  \n90  \n80  \n70  \n60  \n50  \n40  \n30  \n20  \n10  \n0  \nSentinel missions operated by ESA  \n Earth Explorer missions  \n Heritage missions  \n Third Party & Contributing Missions  \n2000 2003 2005 2007 2009 2011 2013 2015 2016 2018 2020 2022 2024 2026  \nSlide 5  \nS2A  \nIn Europe, we have a lot of Copernicus infrastructure in preparation – will we be able demonstrate its  \nperformance?  \nCan we demonstrate we have met requirements?  \nAre products “fit for purpose” within Copernicus?  \nS3D  \nSlide 7  \nCalibration / Validation  \nCalibration is the process of quantitatively defining a system’s response to known and controlled signal inputs.  \nValidation, on the other hand, is the process of assessing, by independent means, the quality of the data products derived from those system outputs.  \nThe Quality Assurance framework for Earth Observation (QA4EO) principles: – It is critical that data and derived products are easily accessible in an open manner and have associated with them an indicator of their quality traceable to reference standards (preferably SI) to enable users to assess its suitability for their application i.e. its “fitness for purpose”.  \n􀃆 Uncertainties  \nSlide 8  \nCalibration / Validation  \nCalibration and Validation are part of the Space Component Satellite program includes a Cal/Val plan  \nCalibration rely on On-Ground system (vicarious calibration)  \nValidation is based on the synthesis from various input:  \n􀃆 Generic approach  \n• Validation against precise Fiducial Reference Measurements FRM (few points but precise)  \n• Validation against in-situ measurements (more points less precise)  \n• Validation against others sources (satellite comparison)  \n• Validation against Models (data assimilation rejection statistics, integrated model analyses…)  \n• Validation using Level 3 data: Statistical comparison between various L-3 from various sensors constitutesan extremely useful tool (mean, median, sd, bias, RMS…. for selected zones, transects, latitudinal bands, seasonal trends…) for a cross-validation of the products  \n• Validation using monitoring tools (statistic, trend, QC.. Etc.)  \nSlide 9  \nFiducial  \nReference Measurements  \n“The suite of independent ground measurements that provide the maximum Return On Investment (ROI) for a satellite mission by delivering, to users, the required confidence in data products, in the form of independent validation results and satellite measurement uncertainty estimation, over the entire end-to-end duration of a satellite mission.”  \nFollowing the QA4EO principles, the defining mandatory characteristics for FRM are:  \n• FRM measurements have documented SI traceability (eg. via round-robin characterisation and regular (pre-and post deployment) calibration of instruments) using metrology standards.  \n• FRM measurements are independent from the satellite geophysical retrieval process.  \n• An uncertainty budget for all FRM instruments and derived measurements is available and maintained.  \n• FRM measurement protocols, procedures and co","cbCaihiZllCX3skD","https://ap.wps.com/l/cbCaihiZllCX3skD","pdf",1818417,16,"English","# Calibration / Validation\n## Calibration and validation definitions\n## QA4EO principles and fitness for purpose\n# Uncertainties and program context\n## Space Component Satellite Cal/Val plan\n# Generic validation approaches\n## Fiducial Reference Measurements (FRM)\n## In-situ, other sources, models, and Level-3 validation\n# Fiducial Reference Measurements (FRM)\n## Mandatory characteristics and SI traceability\n## Independence, uncertainty budget, protocols, accessibility, and inclusive approach","[{\"question\":\"What is calibration in the Cal/Val context?\",\"answer\":\"Calibration quantitatively defines a system’s response to known and controlled signal inputs.\"},{\"question\":\"How does validation differ from calibration?\",\"answer\":\"Validation assesses, using independent means, the quality of data products derived from system outputs.\"},{\"question\":\"What mandatory characteristics define Fiducial Reference Measurements (FRM)?\",\"answer\":\"FRM must have documented SI traceability, be independent from the satellite geophysical retrieval process, maintain an uncertainty budget, define open protocols and community-wide management practices, be accessible for independent verification, and support determining on-orbit uncertainty characteristics.\"}]","Fiducial Reference Measurement for Cal/Val | PDF"]