The FluxnetEO dataset (Landsat) for Oceanian stations located in Australia, and Vanuatu

@misc{https://hdl.handle.net/11676/kB8psY4wBvB7t1Hbsoytfz5I,
  author={Besnard, Simon and Walther, Sophia and Weber, Ulrich},
  title={The FluxnetEO dataset (Landsat) for Oceanian stations located in Australia, and Vanuatu},
  year={2023},
  note={Quality checked and gap-filled monthly Landsat observations of surface reflectance at global eddy co-variance sites for the time period 1984-2022.
	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 Landsat 4,5,7,8 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 stations in Oceania: AU-ASM, AU-Ade, AU-Cpr, AU-Cum, AU-DaP, AU-DaS, AU-Dry, AU-Emr, AU-Fog, AU-GWW, AU-Gin, AU-How, AU-Lox, AU-RDF, AU-Rig, AU-Rob, AU-Stp, AU-TTE, AU-Tum, AU-Wac, AU-Whr, AU-Wom, AU-Ync, VU-Coc},
  keywords={quality control, gap-filled, surface reflectance, eddy-covariance stations, Landsat},
  url={https://hdl.handle.net/11676/kB8psY4wBvB7t1Hbsoytfz5I},
  publisher={Carbon Portal},
  copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence},
  pid={11676/kB8psY4wBvB7t1Hbsoytfz5I}
}

TY - DATA
T1 - The FluxnetEO dataset (Landsat) for Oceanian stations located in Australia, and Vanuatu
ID - 11676/kB8psY4wBvB7t1Hbsoytfz5I
PY - 2023
AB - Quality checked and gap-filled monthly Landsat observations of surface reflectance at global eddy co-variance sites for the time period 1984-2022.
	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 Landsat 4,5,7,8 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 stations in Oceania: AU-ASM, AU-Ade, AU-Cpr, AU-Cum, AU-DaP, AU-DaS, AU-Dry, AU-Emr, AU-Fog, AU-GWW, AU-Gin, AU-How, AU-Lox, AU-RDF, AU-Rig, AU-Rob, AU-Stp, AU-TTE, AU-Tum, AU-Wac, AU-Whr, AU-Wom, AU-Ync, VU-Coc
UR - https://hdl.handle.net/11676/kB8psY4wBvB7t1Hbsoytfz5I
PB - Carbon Portal
AU - Besnard, Simon
AU - Walther, Sophia
AU - Weber, Ulrich
KW - quality control
KW - gap-filled
KW - surface reflectance
KW - eddy-covariance stations
KW - Landsat
ER -