date: 2024-03-25T09:05:36Z
pdf:PDFVersion: 1.7
pdf:docinfo:title: Inferring global terrestrial carbon fluxes from the synergy of Sentinel 3 & 5P with Gaussian process hybrid models
xmp:CreatorTool: Elsevier
access_permission:can_print_degraded: true
subject: Remote Sensing of Environment, 305 (2024) 114072. doi:10.1016/j.rse.2024.114072
dc:format: application/pdf; version=1.7
pdf:docinfo:custom:robots: noindex
pdf:docinfo:creator_tool: Elsevier
access_permission:fill_in_form: true
pdf:docinfo:custom:CreationDate--Text: 25th March 2024
pdf:encrypted: false
dc:title: Inferring global terrestrial carbon fluxes from the synergy of Sentinel 3 & 5P with Gaussian process hybrid models
modified: 2024-03-25T09:05:36Z
cp:subject: Remote Sensing of Environment, 305 (2024) 114072. doi:10.1016/j.rse.2024.114072
pdf:docinfo:custom:CrossMarkDomains[1]: sciencedirect.com
robots: noindex
pdf:docinfo:subject: Remote Sensing of Environment, 305 (2024) 114072. doi:10.1016/j.rse.2024.114072
pdf:docinfo:creator: Pablo Reyes-Muńoz
PTEX.Fullbanner: This is pdfTeX, Version 3.141592653-2.6-1.40.25 (TeX Live 2023) kpathsea version 6.3.5
meta:author: Dávid D.Kovács
trapped: False
pdf:docinfo:custom:CrossmarkMajorVersionDate: 2010-04-23
access_permission:extract_for_accessibility: true
pdf:docinfo:custom:CrossMarkDomains[2]: elsevier.com
ElsevierWebPDFSpecifications: 7.0
pdf:docinfo:custom:doi: 10.1016/j.rse.2024.114072
pdf:docinfo:custom:CrossmarkDomainExclusive: true
Author: Dávid D.Kovács
producer: Acrobat Distiller 8.1.0 (Windows)
CrossmarkDomainExclusive: true
pdf:docinfo:producer: Acrobat Distiller 8.1.0 (Windows)
CreationDate--Text: 25th March 2024
doi: 10.1016/j.rse.2024.114072
dc:description: Remote Sensing of Environment, 305 (2024) 114072. doi:10.1016/j.rse.2024.114072
Keywords: Terrestrial carbon fluxes,Photosynthesis,Gaussian process regression,Sentinel,OLCI,TROPOMI,Hybrid models,Google Earth Engine,Solar-induced fluorescence
access_permission:modify_annotations: true
dc:creator: Dávid D.Kovács
description: Remote Sensing of Environment, 305 (2024) 114072. doi:10.1016/j.rse.2024.114072
Last-Modified: 2024-03-25T09:05:36Z
dcterms:modified: 2024-03-25T09:05:36Z
title: Inferring global terrestrial carbon fluxes from the synergy of Sentinel 3 & 5P with Gaussian process hybrid models
xmpMM:DocumentID: uuid:1b499bed-4ce8-4c0c-b682-0d58baae1cbe
Last-Save-Date: 2024-03-25T09:05:36Z
CrossMarkDomains[1]: sciencedirect.com
pdf:docinfo:keywords: Terrestrial carbon fluxes,Photosynthesis,Gaussian process regression,Sentinel,OLCI,TROPOMI,Hybrid models,Google Earth Engine,Solar-induced fluorescence
pdf:docinfo:modified: 2024-03-25T09:05:36Z
meta:save-date: 2024-03-25T09:05:36Z
GTS_PDFA1Version: PDF/A-1b:2005
pdf:docinfo:custom:PTEX.Fullbanner: This is pdfTeX, Version 3.141592653-2.6-1.40.25 (TeX Live 2023) kpathsea version 6.3.5
Content-Type: application/pdf
X-Parsed-By: org.apache.tika.parser.DefaultParser
creator: Dávid D.Kovács
dc:subject: Terrestrial carbon fluxes,Photosynthesis,Gaussian process regression,Sentinel,OLCI,TROPOMI,Hybrid models,Google Earth Engine,Solar-induced fluorescence
pdf:docinfo:custom:ElsevierWebPDFSpecifications: 7.0
access_permission:assemble_document: true
xmpTPg:NPages: 28
access_permission:extract_content: true
pdf:docinfo:custom:GTS_PDFA1Version: PDF/A-1b:2005
access_permission:can_print: true
pdf:docinfo:trapped: False
CrossMarkDomains[2]: elsevier.com
meta:keyword: Terrestrial carbon fluxes,Photosynthesis,Gaussian process regression,Sentinel,OLCI,TROPOMI,Hybrid models,Google Earth Engine,Solar-induced fluorescence
access_permission:can_modify: true
CrossmarkMajorVersionDate: 2010-04-23