Potential for using remote sensing to estimate carbon fluxes across northern peatlands – A review

Peatlands store large amounts of terrestrial carbon and any changes to their carbon balance could cause large changes in the greenhouse gas (GHG) balance of the Earth's atmosphere. There is still much uncertainty about how the GHG dynamics of peatlands are affected by climate and land use chang...

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Bibliographic Details
Published in:	The Science of the total environment Vol. 615; pp. 857 - 874
Main Authors:	Lees, K.J., Quaife, T., Artz, R.R.E., Khomik, M., Clark, J.M.
Format:	Journal Article
Language:	English
Published:	Netherlands Elsevier B.V 15.02.2018
Subjects:	carbon carbon cycle climate Earth atmosphere ecosystems eddy covariance GPP greenhouse gases land use change landscapes NEE peatlands remote sensing Respiration Restored peatlands Satellites spatial data uncertainty Vegetation indices PAR GPP PRI WTD GHG OLI AVHRR DOC EC EF TANSO H2O SPOT POC IR CAI EO SWIR LST NDWI SLSTR USGS μm SIF Satellites VI GMAO MIR EVI MERIS LSWI APAR nm Suomi-NPP EUMETSAT fBWI RS JAXA O2 FTS SAR Vegetation indices CO2 VPD GLO-PEM NDVI Ra ESA VPM WI GOSAT Rg RSPB Rh Reco Rm LUE DIC IRGA EOM MSI NASA LiDAR InSAR MTCI VIIRS CH4 FIR MODIS NEE SOM Restored peatlands LAI DoD OCO REP TIR Respiration ETM
ISSN:	0048-9697, 1879-1026, 1879-1026
Online Access:	Get full text
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Summary:	Peatlands store large amounts of terrestrial carbon and any changes to their carbon balance could cause large changes in the greenhouse gas (GHG) balance of the Earth's atmosphere. There is still much uncertainty about how the GHG dynamics of peatlands are affected by climate and land use change. Current field-based methods of estimating annual carbon exchange between peatlands and the atmosphere include flux chambers and eddy covariance towers. However, remote sensing has several advantages over these traditional approaches in terms of cost, spatial coverage and accessibility to remote locations. In this paper, we outline the basic principles of using remote sensing to estimate ecosystem carbon fluxes and explain the range of satellite data available for such estimations, considering the indices and models developed to make use of the data. Past studies, which have used remote sensing data in comparison with ground-based calculations of carbon fluxes over Northern peatland landscapes, are discussed, as well as the challenges of working with remote sensing on peatlands. Finally, we suggest areas in need of future work on this topic. We conclude that the application of remote sensing to models of carbon fluxes is a viable research method over Northern peatlands but further work is needed to develop more comprehensive carbon cycle models and to improve the long-term reliability of models, particularly on peatland sites undergoing restoration. [Display omitted] •Optical data can be used to drive models of peatland carbon flux.•Water, temperature and vegetation indices are important model factors.•Challenges from peatland heterogeneity and vegetation composition•Remote sensing driven models have the potential to fill gaps in current research
Bibliography:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 ObjectType-Review-3 content type line 23
ISSN:	0048-9697 1879-1026 1879-1026
DOI:	10.1016/j.scitotenv.2017.09.103