The FluxnetEO dataset (Landsat) for European stations located in Spain, Finland, and France
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 Europe: ES-Abr, ES-Agu, ES-Alb, ES-Amo, ES-Cnd, ES-ES1, ES-ES2, ES-LJu, ES-LM1, ES-LM2, ES-LMa, ES-LgS, ES-Ln2, ES-VDA, FI-Hyy, FI-Jok, FI-Kaa, FI-Ken, FI-Kmp, FI-Kvr, FI-Let, FI-Lom, FI-Qvd, FI-Sii, FI-Sod, FI-Var, FR-Aur, FR-Bil, FR-EM2, FR-FBn, FR-Fon, FR-Gri, FR-Hes, FR-LBr, FR-LGt, FR-Lam, FR-Lq1, FR-Lq2, FR-Lqu, FR-Lus, FR-Mej, FR-MsS, FR-Pue, FR-Tou
BibTex
@misc{https://hdl.handle.net/11676/BxLJRA8Vm8oXgOzDZdv_aUKO, author={Besnard, Simon and Walther, Sophia and Weber, Ulrich}, title={The FluxnetEO dataset (Landsat) for European stations located in Spain, Finland, and France}, 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 Europe: ES-Abr, ES-Agu, ES-Alb, ES-Amo, ES-Cnd, ES-ES1, ES-ES2, ES-LJu, ES-LM1, ES-LM2, ES-LMa, ES-LgS, ES-Ln2, ES-VDA, FI-Hyy, FI-Jok, FI-Kaa, FI-Ken, FI-Kmp, FI-Kvr, FI-Let, FI-Lom, FI-Qvd, FI-Sii, FI-Sod, FI-Var, FR-Aur, FR-Bil, FR-EM2, FR-FBn, FR-Fon, FR-Gri, FR-Hes, FR-LBr, FR-LGt, FR-Lam, FR-Lq1, FR-Lq2, FR-Lqu, FR-Lus, FR-Mej, FR-MsS, FR-Pue, FR-Tou}, keywords={quality control, gap-filled, surface reflectance, eddy-covariance stations, Landsat}, url={https://hdl.handle.net/11676/BxLJRA8Vm8oXgOzDZdv_aUKO}, publisher={Carbon Portal}, copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence}, pid={11676/BxLJRA8Vm8oXgOzDZdv_aUKO} }
RIS
TY - DATA T1 - The FluxnetEO dataset (Landsat) for European stations located in Spain, Finland, and France ID - 11676/BxLJRA8Vm8oXgOzDZdv_aUKO 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 Europe: ES-Abr, ES-Agu, ES-Alb, ES-Amo, ES-Cnd, ES-ES1, ES-ES2, ES-LJu, ES-LM1, ES-LM2, ES-LMa, ES-LgS, ES-Ln2, ES-VDA, FI-Hyy, FI-Jok, FI-Kaa, FI-Ken, FI-Kmp, FI-Kvr, FI-Let, FI-Lom, FI-Qvd, FI-Sii, FI-Sod, FI-Var, FR-Aur, FR-Bil, FR-EM2, FR-FBn, FR-Fon, FR-Gri, FR-Hes, FR-LBr, FR-LGt, FR-Lam, FR-Lq1, FR-Lq2, FR-Lqu, FR-Lus, FR-Mej, FR-MsS, FR-Pue, FR-Tou UR - https://hdl.handle.net/11676/BxLJRA8Vm8oXgOzDZdv_aUKO 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 -
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