Evaluation of the LSA-SAF Gross Primary Production product derived from SEVIRI/MSG data (MGPP)
(2020) In ISPRS Journal of Photogrammetry and Remote Sensing 159. p.220-236- Abstract
- The objective of this study is to describe a completely new 10-day gross primary production (GPP) product
(MGPP LSA-411) based on data from the geostationary SEVIRI/MSG satellite within the LSA SAF (Land Surface
Analysis SAF) as part of the SAF (Satellite Application Facility) network of EUMETSAT.
The methodology relies on the Monteith approach. It considers that GPP is proportional to the absorbed
photosynthetically active radiation APAR and the proportionality factor is known as the light use efficiency ε. A
parameterization of this factor is proposed as the product of a εmax, corresponding to the canopy functioning
under optimal conditions, and a coefficient quantifying the reduction of photosynthesis as a... (More) - The objective of this study is to describe a completely new 10-day gross primary production (GPP) product
(MGPP LSA-411) based on data from the geostationary SEVIRI/MSG satellite within the LSA SAF (Land Surface
Analysis SAF) as part of the SAF (Satellite Application Facility) network of EUMETSAT.
The methodology relies on the Monteith approach. It considers that GPP is proportional to the absorbed
photosynthetically active radiation APAR and the proportionality factor is known as the light use efficiency ε. A
parameterization of this factor is proposed as the product of a εmax, corresponding to the canopy functioning
under optimal conditions, and a coefficient quantifying the reduction of photosynthesis as a consequence of
water stress. A three years data record (2015–2017) was used in an assessment against site-level eddy covariance
(EC) tower GPP estimates and against other Earth Observation (EO) based GPP products. The site-level comparison
indicated that the MGPP product performed better than the other EO based GPP products with 48% of
the observations being below the optimal accuracy (absolute error < 1.0 g m−2 day−1) and 75% of these data
being below the user requirement threshold (absolute error < 3.0 g m−2 day−1). The largest discrepancies
between the MGPP product and the other GPP products were found for forests whereas small differences were
observed for the other land cover types. The integration of this GPP product with the ensemble of LSA-SAF MSG (Less) - Abstract (Swedish)
- The objective of this study is to describe a completely new 10-day gross primary production (GPP) product
(MGPP LSA-411) based on data from the geostationary SEVIRI/MSG satellite within the LSA SAF (Land Surface
Analysis SAF) as part of the SAF (Satellite Application Facility) network of EUMETSAT.
The methodology relies on the Monteith approach. It considers that GPP is proportional to the absorbed
photosynthetically active radiation APAR and the proportionality factor is known as the light use efficiency ε. A
parameterization of this factor is proposed as the product of a εmax, corresponding to the canopy functioning
under optimal conditions, and a coefficient quantifying the reduction of photosynthesis as a... (More) - The objective of this study is to describe a completely new 10-day gross primary production (GPP) product
(MGPP LSA-411) based on data from the geostationary SEVIRI/MSG satellite within the LSA SAF (Land Surface
Analysis SAF) as part of the SAF (Satellite Application Facility) network of EUMETSAT.
The methodology relies on the Monteith approach. It considers that GPP is proportional to the absorbed
photosynthetically active radiation APAR and the proportionality factor is known as the light use efficiency ε. A
parameterization of this factor is proposed as the product of a εmax, corresponding to the canopy functioning
under optimal conditions, and a coefficient quantifying the reduction of photosynthesis as a consequence of
water stress. A three years data record (2015–2017) was used in an assessment against site-level eddy covariance
(EC) tower GPP estimates and against other Earth Observation (EO) based GPP products. The site-level comparison
indicated that the MGPP product performed better than the other EO based GPP products with 48% of
the observations being below the optimal accuracy (absolute error < 1.0 g m−2 day−1) and 75% of these data
being below the user requirement threshold (absolute error < 3.0 g m−2 day−1). The largest discrepancies
between the MGPP product and the other GPP products were found for forests whereas small differences were
observed for the other land cover types. The integration of this GPP product with the ensemble of LSA-SAF MSG
products is conducive to meet user needs for a better understanding of ecosystem processes and for improved
understanding of anthropogenic impact on ecosystem services. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/3438a599-4805-460a-bee0-6080fa73338c
- author
- organization
- publishing date
- 2020-01
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- GPP, SEVIRI/MSG, 10-day, LSA SAF, Water stress, Light-use efficiency, MGPP
- in
- ISPRS Journal of Photogrammetry and Remote Sensing
- volume
- 159
- article number
- 10.1016/j.isprsjprs.2019.11.010
- pages
- 17 pages
- publisher
- Elsevier
- external identifiers
-
- scopus:85072645757
- ISSN
- 0924-2716
- DOI
- 10.1016/j.isprsjprs.2019.11.010
- language
- English
- LU publication?
- yes
- id
- 3438a599-4805-460a-bee0-6080fa73338c
- date added to LUP
- 2020-11-03 13:59:01
- date last changed
- 2023-02-21 10:02:17
@article{3438a599-4805-460a-bee0-6080fa73338c,
abstract = {{The objective of this study is to describe a completely new 10-day gross primary production (GPP) product<br/>(MGPP LSA-411) based on data from the geostationary SEVIRI/MSG satellite within the LSA SAF (Land Surface<br/>Analysis SAF) as part of the SAF (Satellite Application Facility) network of EUMETSAT.<br/>The methodology relies on the Monteith approach. It considers that GPP is proportional to the absorbed<br/>photosynthetically active radiation APAR and the proportionality factor is known as the light use efficiency ε. A<br/>parameterization of this factor is proposed as the product of a εmax, corresponding to the canopy functioning<br/>under optimal conditions, and a coefficient quantifying the reduction of photosynthesis as a consequence of<br/>water stress. A three years data record (2015–2017) was used in an assessment against site-level eddy covariance<br/>(EC) tower GPP estimates and against other Earth Observation (EO) based GPP products. The site-level comparison<br/>indicated that the MGPP product performed better than the other EO based GPP products with 48% of<br/>the observations being below the optimal accuracy (absolute error < 1.0 g m−2 day−1) and 75% of these data<br/>being below the user requirement threshold (absolute error < 3.0 g m−2 day−1). The largest discrepancies<br/>between the MGPP product and the other GPP products were found for forests whereas small differences were<br/>observed for the other land cover types. The integration of this GPP product with the ensemble of LSA-SAF MSG}},
author = {{Martínez, Beatriz and Amparo Gilabert, María and Sánchez-Ruiz, Sergio and Campos-Taberner, M. and García-Haro, Francisco Javier and Bruemmer, C. and Carrara, A. and Feig, Gregor and Grünwald, T. and Mammarella, I and Tagesson, Torbern}},
issn = {{0924-2716}},
keywords = {{GPP; SEVIRI/MSG; 10-day; LSA SAF; Water stress; Light-use efficiency; MGPP}},
language = {{eng}},
pages = {{220--236}},
publisher = {{Elsevier}},
series = {{ISPRS Journal of Photogrammetry and Remote Sensing}},
title = {{Evaluation of the LSA-SAF Gross Primary Production product derived from SEVIRI/MSG data (MGPP)}},
url = {{http://dx.doi.org/10.1016/j.isprsjprs.2019.11.010}},
doi = {{10.1016/j.isprsjprs.2019.11.010}},
volume = {{159}},
year = {{2020}},
}