The FluxnetEO dataset (Landsat) for American stations located in Argentina, Brazil, French Guiana, Greenland, and Panama

@misc{https://hdl.handle.net/11676/isu3DuPzvXYAXHp5L0GmzOW7,
  author={Besnard, Simon and Nelson, Jacob A. and Walther, Sophia and Weber, Ulrich},
  title={The FluxnetEO dataset (Landsat) for American stations located in Argentina, Brazil, French Guiana, Greenland, and Panama},
  year={2021},
  note={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.
ZIP archive of netcdf files for the stations in Americas : AR-SLu, AR-Vir, BR-Ban, BR-Cax, BR-Ji2, BR-Sa1, BR-Sa2, BR-Sa3, BR-Sp1, GF-Guy, GL-ZaF, GL-ZaH, PA-SPn, PA-SPs},
  keywords={Landsat, quality control, gap-filled, surface reflectance, eddy-covariance stations},
  url={https://hdl.handle.net/11676/isu3DuPzvXYAXHp5L0GmzOW7},
  publisher={Carbon Portal},
  copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence},
  pid={11676/isu3DuPzvXYAXHp5L0GmzOW7}
}

TY - DATA
T1 - The FluxnetEO dataset (Landsat) for American stations located in Argentina, Brazil, French Guiana, Greenland, and Panama
ID - 11676/isu3DuPzvXYAXHp5L0GmzOW7
PY - 2021
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.
ZIP archive of netcdf files for the stations in Americas : AR-SLu, AR-Vir, BR-Ban, BR-Cax, BR-Ji2, BR-Sa1, BR-Sa2, BR-Sa3, BR-Sp1, GF-Guy, GL-ZaF, GL-ZaH, PA-SPn, PA-SPs
UR - https://hdl.handle.net/11676/isu3DuPzvXYAXHp5L0GmzOW7
PB - Carbon Portal
AU - Besnard, Simon
AU - Nelson, Jacob A.
AU - Walther, Sophia
AU - Weber, Ulrich
KW - Landsat
KW - quality control
KW - gap-filled
KW - surface reflectance
KW - eddy-covariance stations
ER -