Technical note: A view from space on global flux towers by MODIS and Landsat: the FluxnetEO data set Article Swipe
Sophia Walther
,
Simon Besnard
,
Jacob A. Nelson
,
Tarek S. El‐Madany
,
Mirco Migliavacca
,
Ulrich Weber
,
Nuno Carvalhais
,
Sofia L. Ermida
,
Christian Brümmer
,
Frederik Schrader
,
Anatoly Prokushkin
,
A. V. Panov
,
Martin Jung
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.5194/bg-19-2805-2022
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.5194/bg-19-2805-2022
The eddy-covariance technique measures carbon, water, and energy fluxes between the land surface and the atmosphere at hundreds of sites globally. Collections of standardised and homogenised flux estimates such as the LaThuile, Fluxnet2015, National Ecological Observatory Network (NEON), Integrated Carbon Observation System (ICOS), AsiaFlux, AmeriFlux, and Terrestrial Ecosystem Research Network (TERN)/OzFlux data sets are invaluable to study land surface processes and vegetation functioning at the ecosystem scale. Space-borne measurements give complementary information on the state of the land surface in the surroundings of the towers. They aid the interpretation of the fluxes and support the benchmarking of terrestrial biosphere models. However, insufficient quality and frequent and/or long gaps are recurrent problems in applying the remotely sensed data and may considerably affect the scientific conclusions. Here, we describe a standardised procedure to extract, quality filter, and gap-fill Earth observation data from the MODIS instruments and the Landsat satellites. The methods consistently process surface reflectance in individual spectral bands, derived vegetation indices, and land surface temperature. A geometrical correction estimates the magnitude of land surface temperature as if seen from nadir or 40∘ off-nadir. Finally, we offer the community living data sets of pre-processed Earth observation data, where version 1.0 features the MCD43A4/A2 and MxD11A1 MODIS products and Landsat Collection 1 Tier 1 and Tier 2 products in a radius of 2 km around 338 flux sites. The data sets we provide can widely facilitate the integration of activities in the eddy-covariance, remote sensing, and modelling fields.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.5194/bg-19-2805-2022
- https://bg.copernicus.org/articles/19/2805/2022/bg-19-2805-2022.pdf
- OA Status
- gold
- Cited By
- 54
- References
- 91
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4281613144
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4281613144Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.5194/bg-19-2805-2022Digital Object Identifier
- Title
-
Technical note: A view from space on global flux towers by MODIS and Landsat: the FluxnetEO data setWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-06-08Full publication date if available
- Authors
-
Sophia Walther, Simon Besnard, Jacob A. Nelson, Tarek S. El‐Madany, Mirco Migliavacca, Ulrich Weber, Nuno Carvalhais, Sofia L. Ermida, Christian Brümmer, Frederik Schrader, Anatoly Prokushkin, A. V. Panov, Martin JungList of authors in order
- Landing page
-
https://doi.org/10.5194/bg-19-2805-2022Publisher landing page
- PDF URL
-
https://bg.copernicus.org/articles/19/2805/2022/bg-19-2805-2022.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://bg.copernicus.org/articles/19/2805/2022/bg-19-2805-2022.pdfDirect OA link when available
- Concepts
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Eddy covariance, Remote sensing, Environmental science, Biosphere, Land cover, Vegetation (pathology), Albedo (alchemy), Meteorology, Geography, Land use, Ecosystem, Engineering, Ecology, Art, Art history, Performance art, Pathology, Biology, Medicine, Civil engineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
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54Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 21, 2024: 13, 2023: 7, 2022: 11, 2021: 2Per-year citation counts (last 5 years)
- References (count)
-
91Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| corresponding_author_ids | https://openalex.org/A5029306919, https://openalex.org/A5048012435, https://openalex.org/A5033564055, https://openalex.org/A5067588216, https://openalex.org/A5013902636, https://openalex.org/A5046995694, https://openalex.org/A5020381091, https://openalex.org/A5081683556 |
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