Imperial College London
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Professor Iain Colin Prentice

Faculty of Natural Sciences, Department of Life Sciences (Silwood Park)

Chair in Biosphere and Climate Impacts
 
 
 
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Contact

 

+44 (0)20 7594 2482c.prentice

 
 
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Location

 

2.3Centre for Population BiologySilwood Park

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Summary

 

Publications

Citation

BibTex format

@article{Bloomfield:2023:10.3390/rs15061693,
author = {Bloomfield, K and van, Hoolst R and Balzarolo, M and Janssens, IA and Vicca, S and Ghent, D and Prentice, IC},
doi = {10.3390/rs15061693},
journal = {Remote Sensing},
pages = {1--15},
title = {Towards a general monitoring system for terrestrial primary production: a test spanning the European drought of 2018},
url = {http://dx.doi.org/10.3390/rs15061693},
volume = {15},
year = {2023}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - (1) Land surface models require inputs of temperature and moisture variables to generate predictions of gross primary production (GPP). Differences between leaf and air temperature vary temporally and spatially and may be especially pronounced under conditions of low soil moisture availability. The Sentinel-3 satellite mission offers estimates of the land surface temperature (LST), which for vegetated pixels can be adopted as the canopy temperature. Could remotely sensed estimates of LST offer a parsimonious input to models by combining information on leaf temperature and hydration? (2) Using a light use efficiency model that requires only a handful of input variables, we generated GPP simulations for comparison with eddy-covariance inferred estimates available from flux sites within the Integrated Carbon Observation System. Remotely sensed LST and greenness data were input from Sentinel-3. Gridded air temperature data were obtained from the European Centre for Medium-Range Weather Forecasts. We chose the years 2018–2019 to exploit the natural experiment of a pronounced European drought. (3) Simulated GPP showed good agreement with flux-derived estimates. During dry conditions, simulations forced with LST performed better than those with air temperature for shrubland, grassland and savanna sites. (4) This study advances the prospect for a global GPP monitoring system that will rely primarily on remotely sensed inputs.
AU  - Bloomfield,K
AU  - van,Hoolst R
AU  - Balzarolo,M
AU  - Janssens,IA
AU  - Vicca,S
AU  - Ghent,D
AU  - Prentice,IC
DO  - 10.3390/rs15061693
EP  - 15
PY  - 2023///
SN  - 2072-4292
SP  - 1
TI  - Towards a general monitoring system for terrestrial primary production: a test spanning the European drought of 2018
T2  - Remote Sensing
UR  - http://dx.doi.org/10.3390/rs15061693
UR  - https://www.mdpi.com/2072-4292/15/6/1693
UR  - http://hdl.handle.net/10044/1/103556
VL  - 15
ER  -
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