The FluxnetEO dataset (Landsat) for American stations located in United States (1)

@misc{https://hdl.handle.net/11676/ZuevHvc4WJSQ7xDnGzxjRP6V,
  author={Besnard, Simon and Walther, Sophia and Weber, Ulrich},
  title={The FluxnetEO dataset (Landsat) for American stations located in United States (1)},
  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 Americas: US-FR1, US-FR2, US-FR3, US-Fmf, US-Fuf, US-Fwf, US-GBT, US-GLE, US-GMF, US-Goo, US-HAR, US-HB1, US-HB2, US-HBK, US-HPY, US-HRA, US-HRC, US-HRP, US-HRS, US-HVa, US-HWB, US-Ha1, US-Ha2, US-Hn3, US-Ho1, US-Ho2, US-Ho3, US-IB1, US-IB2, US-ICh, US-ICs, US-ICt, US-Ivo, US-JER, US-Jo2, US-KCM, US-KFB, US-KFS, US-KL1, US-KL2, US-KL3, US-KLS, US-KM1, US-KM2, US-KM3, US-KM4, US-KNZ, US-KS1, US-KS2, US-KS3, US-KS4, US-KUO, US-KUT, US-Kon, US-LBJ, US-LGr, US-LPH, US-LWW, US-Lin, US-Los, US-MMS, US-MOz, US-MRM, US-MRf, US-Me1, US-Me2, US-Me3, US-Me4, US-Me5, US-Me6},
  keywords={quality control, gap-filled, surface reflectance, eddy-covariance stations, Landsat},
  url={https://hdl.handle.net/11676/ZuevHvc4WJSQ7xDnGzxjRP6V},
  publisher={Carbon Portal},
  copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence},
  pid={11676/ZuevHvc4WJSQ7xDnGzxjRP6V}
}

TY - DATA
T1 - The FluxnetEO dataset (Landsat) for American stations located in United States (1)
ID - 11676/ZuevHvc4WJSQ7xDnGzxjRP6V
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 Americas: US-FR1, US-FR2, US-FR3, US-Fmf, US-Fuf, US-Fwf, US-GBT, US-GLE, US-GMF, US-Goo, US-HAR, US-HB1, US-HB2, US-HBK, US-HPY, US-HRA, US-HRC, US-HRP, US-HRS, US-HVa, US-HWB, US-Ha1, US-Ha2, US-Hn3, US-Ho1, US-Ho2, US-Ho3, US-IB1, US-IB2, US-ICh, US-ICs, US-ICt, US-Ivo, US-JER, US-Jo2, US-KCM, US-KFB, US-KFS, US-KL1, US-KL2, US-KL3, US-KLS, US-KM1, US-KM2, US-KM3, US-KM4, US-KNZ, US-KS1, US-KS2, US-KS3, US-KS4, US-KUO, US-KUT, US-Kon, US-LBJ, US-LGr, US-LPH, US-LWW, US-Lin, US-Los, US-MMS, US-MOz, US-MRM, US-MRf, US-Me1, US-Me2, US-Me3, US-Me4, US-Me5, US-Me6
UR - https://hdl.handle.net/11676/ZuevHvc4WJSQ7xDnGzxjRP6V
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 -