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Supplementary data to Walther et al. (2021), A view from space on global flux towers by MODIS and Landsat: The FluxnetEO dataset (Landsat)

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10.18160/0Z7J-J3TR (target, metadata)
Quality checked and gap-filled monthly Landsat observations of surface reflectance at global eddy co-variance sites for the time period 1984-2017. Two product versions: one features all Landsat pixels within 2km radius around a given site, and a second version consists of an average time series that represents the area within 1km2 around a site. All data layers have a complementary layer with gap-fill information. Landsat data comprise all sites in the Fluxnet La Thuile, Berkeley and ICOS Drought 2018 data releases. Reflectance products: enhanced vegetation index (EVI), normalized difference vegetation index (NDVI), generalized NDVI (kNDVI), near infra-red reflectance of vegetation (NIRv), normalized difference water index (NDWI) with both shortwave infra-red bands as reference, the scaled wide dynamic range vegetation index (sWDRVI), surface reflectance in individual Landsat bands. Based on the Landsat4,5,7,8 collection 1 products with a pixel size of 30m. Supplementary data to Walther, S., Besnard, S., Nelson, J.A., El-Madany, T. S., Migliavacca, M., Weber, U., Ermida, S. L., Brümmer, C., Schrader, F., Prokushkin, A., Panov, A., Jung, M. , 2021. A view from space on global flux towers by MODIS and Landsat: The FluxnetEO dataset, in preparation for Biogeosciences Discussions. The data are separated in zip-files by continents and groups of countries.
Walther, S., Besnard, S., Nelson, J. A., & Weber, U. (2021). Supplementary data to Walther et al. (2021), A view from space on global flux towers by MODIS and Landsat: The FluxnetEO dataset (Landsat) (Version 1.0). ICOS ERIC - Carbon Portal. https://doi.org/10.18160/0Z7J-J3TR
BibTex
@misc{https://doi.org/10.18160/0z7j-j3tr,
  doi = {10.18160/0Z7J-J3TR},
  url = {https://meta.icos-cp.eu/collections/TVBRaxjolfakaoov-JTup4pe},
  author = {Walther, Sophia and Besnard, Simon  and Nelson, Jacob A. and Weber, Ulrich},
  keywords = {Landsat, remote sensing, surface reflectance, eddy-covariance stations},
  title = {Supplementary data to Walther et al. (2021), A view from space on global flux towers by MODIS and Landsat: The FluxnetEO dataset (Landsat)},
  publisher = {ICOS ERIC -  Carbon Portal},
  year = {2021},
  copyright = {CC BY 4.0}
}
RIS
TY  - GEN
T1  - Supplementary data to Walther et al. (2021), A view from space on global flux towers by MODIS and Landsat: The FluxnetEO dataset (Landsat)
AU  - Walther, Sophia
AU  - Besnard, Simon 
AU  - Nelson, Jacob A.
AU  - Weber, Ulrich
DO  - 10.18160/0Z7J-J3TR
UR  - https://meta.icos-cp.eu/collections/TVBRaxjolfakaoov-JTup4pe
AB  - Quality checked and gap-filled monthly Landsat observations of surface reflectance at global eddy co-variance sites for the time period 1984-2017. Two product versions: one features all Landsat pixels within 2km radius around a given site, and a second version consists of an average time series that represents the area within 1km2 around a site. All data layers have a complementary layer with gap-fill information. Landsat data comprise all sites in the Fluxnet La Thuile, Berkeley and ICOS Drought 2018 data releases.
Reflectance products: enhanced vegetation index (EVI),  normalized difference vegetation index (NDVI), generalized NDVI (kNDVI), near infra-red reflectance of vegetation (NIRv), normalized difference water index (NDWI) with both shortwave infra-red bands as reference, the scaled wide dynamic range vegetation index (sWDRVI), surface reflectance in individual Landsat bands.  Based on the Landsat4,5,7,8 collection 1 products with a pixel size of 30m.
Supplementary data to Walther, S., Besnard, S., Nelson, J.A., El-Madany, T. S., Migliavacca, M., Weber, U., Ermida, S. L., Brümmer, C., Schrader, F., Prokushkin, A., Panov, A., Jung, M. , 2021. A view from space on global flux towers by MODIS and Landsat: The FluxnetEO dataset, in preparation for Biogeosciences Discussions.
The data are separated in zip-files by continents and groups of countries.
KW  - Landsat
KW  - remote sensing
KW  - surface reflectance
KW  - eddy-covariance stations
PY  - 2021
PB  - ICOS ERIC -  Carbon Portal
ER  -

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