EUROSPEC: at the interface between remote sensing and ecosystem CO<sub>2</sub> flux measurements in Europe
Author:
Porcar-Castell A., Mac Arthur A., Rossini M., Eklundh L.ORCID, Pacheco-Labrador J., Anderson K., Balzarolo M., Martín M. P., Jin H.ORCID, Tomelleri E., Cerasoli S.ORCID, Sakowska K., Hueni A., Julitta T., Nichol C. J., Vescovo L.
Abstract
Abstract. Resolving the spatial and temporal dynamics of gross primary productivity (GPP) of terrestrial ecosystems across different scales remains a challenge. Remote sensing is regarded as the solution to upscale point observations conducted at the ecosystem level, using the eddy covariance (EC) technique, to the landscape and global levels. In addition to traditional vegetation indices, the photochemical reflectance index (PRI) and the emission of solar-induced chlorophyll fluorescence (SIF), now measurable from space, provide a new range of opportunities to monitor the global carbon cycle using remote sensing. However, the scale mismatch between EC observations and the much coarser satellite-derived data complicates the integration of the two sources of data. The solution is to establish a network of in situ spectral measurements that can act as bridge between EC measurements and remote sensing data. In situ spectral measurements have been already conducted for many years at EC sites, but using variable instrumentation, setups, and measurement standards. In Europe in particular, in situ spectral measurements remain highly heterogeneous. The goal of EUROSPEC Cost Action ES0930 was to promote the development of common measuring protocols and new instruments towards establishing best practices and standardization of in situ spectral measurements. In this review we describe the background and main tradeoffs of in situ spectral measurements, review the main results of EUROSPEC Cost Action, and discuss the future challenges and opportunities of in situ spectral measurements for improved estimation of local and global carbon cycle.
Funder
Academy of Finland
Publisher
Copernicus GmbH
Reference146 articles.
1. Alton, P. B.: From site-level to global simulation: reconciling carbon, water and energy fluxes over different spatial scales using a process-based ecophysiological land-surface model, Agr. Forest Meteorol., 176, 111–124, https://doi.org/10.1016/j.agrformet.2013.03.010, 2013. 2. Anderson, K., Milton, E. J., and Rollin, E. M.: Calibration of dual-beam spectroradiometric data, Int. J. Remote Sens., 27, 975–986, https://doi.org/10.1080/01431160500213375, 2006. 3. Anderson, K., Dungan, J. L., and Mac Arthur, A.: On the reproducibility of field-measured reflectance factors in the context of vegetation studies, Remote Sens. Environ., 115, 1893–1905, https://doi.org/10.1016/j.rse.2011.03.012, 2011. 4. Anderson, K., Rossini, M., Pacheco-Labrador, J., Balzarolo, M., Mac Arthur, A., Fava, F., Julitta, T., and Vescovo, L.: Inter-comparison of hemispherical conical reflectance factors (HCRF) measured with four fibre-based spectrometers, Opt. Express, 21, 605–617, https://doi.org/10.1364/oe.21.000605, 2013. 5. Anderson, N., Biggar, S. F., Burkhart, C. J., Kurtis, J. T., and Mavko, M.: Bi-directional calibration results for the cleaning of SpectralonTM reference panels, in: Proceedings of SPIE – The International Society for Optical Engineering, vol. 4814, Earth Observing Systems VII, Seattle, WA, 25 September 2002, 201–210, 2002.
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