This is version 2 of quality checked and gap-filled daily MODIS observations of surface reflectance and land surface temperature at global eddy co-variance sites for the time period 2000-2022. Two product versions: one features all MODIS 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. MODIS data comprise 647 eddy covariance sites (see a detailed list in the README of version 2). FluxnetEO v2 MODIS 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 band 5, 6, or 7 as reference, the scaled wide dynamic range vegetation index (sWDRVI), surface reflectance in MODIS bands 1-7. Based on the NASA MCD43A4 and MCD43A2 collection 6 products with a pixel size of 500m. FluxnetEO v2 MODIS land surface temperature: Terra and Aqua, day and night, at native viewing zenith angle as well as corrected to viewing zenith angles of 0 and 40degrees (Ermida et al., 2018, RS, https://www.mdpi.com/2072-4292/10/7/1114). Based on NASA MOD11A1 and MYD11A1 collection 6 at a pixel size of 1km. This is version 2 of the data described in Walther* & Besnard* et al. 2022. A view from space on global flux towers by MODIS and Landsat: The FluxnetEO dataset, Biogeosciences, https://doi.org/10.5194/bg-19-2805-2022. Please refer to the README of version2 to understand the details of the updates between version1 (described in the paper) and version2. The data are separated in zip-files by continents and groups of countries. ZIP archive of netcdf files for stations in Americas: US-A32, US-A74, US-ADR, US-AR1, US-AR2, US-ARM, US-ARb, US-ARc, US-Act, US-Akn, US-An1, US-An2, US-An3, US-Atq, US-Aud, US-BRG, US-BRT, US-BSM, US-BZB, US-BZF, US-BZS, US-BZo, US-Bar, US-BdA, US-BdC, US-Beo, US-Bes, US-Bi1, US-Bi2, US-Bkg, US-Blk, US-Blo, US-Bn1, US-Bn2, US-Bn3, US-Bo1, US-Bo2, US-Br1, US-Br2, US-Br3, US-Brw, US-Bsg, US-CF1, US-CF2, US-CF3, US-CF4, US-CPR, US-CPk, US-CRT, US-CS1, US-CS2, US-CS3, US-CS4, US-CZ1, US-CZ2, US-CZ3, US-CZ4, US-CaV, US-Ced, US-ChR, US-Cop, US-Cst, US-Ctn, US-Dea, US-Deu, US-Dia, US-Dix, US-Dk1, US-Dk2, US-Dk3, US-EDN, US-EML, US-Elm, US-Esm, US-FPe
@misc{https://hdl.handle.net/11676/mByY42L75m_z_NPF-zCvpRZP, author={Nelson, Jacob A. and Walther, Sophia and Weber, Ulrich}, title={The FluxnetEO dataset (MODIS) for American stations located in United States (0)}, year={2023}, note={This is version 2 of quality checked and gap-filled daily MODIS observations of surface reflectance and land surface temperature at global eddy co-variance sites for the time period 2000-2022. Two product versions: one features all MODIS 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. MODIS data comprise 647 eddy covariance sites (see a detailed list in the README of version 2). FluxnetEO v2 MODIS 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 band 5, 6, or 7 as reference, the scaled wide dynamic range vegetation index (sWDRVI), surface reflectance in MODIS bands 1-7. Based on the NASA MCD43A4 and MCD43A2 collection 6 products with a pixel size of 500m. FluxnetEO v2 MODIS land surface temperature: Terra and Aqua, day and night, at native viewing zenith angle as well as corrected to viewing zenith angles of 0 and 40degrees (Ermida et al., 2018, RS, https://www.mdpi.com/2072-4292/10/7/1114). Based on NASA MOD11A1 and MYD11A1 collection 6 at a pixel size of 1km. This is version 2 of the data described in Walther* & Besnard* et al. 2022. A view from space on global flux towers by MODIS and Landsat: The FluxnetEO dataset, Biogeosciences, https://doi.org/10.5194/bg-19-2805-2022. Please refer to the README of version2 to understand the details of the updates between version1 (described in the paper) and version2. The data are separated in zip-files by continents and groups of countries. ZIP archive of netcdf files for stations in Americas: US-A32, US-A74, US-ADR, US-AR1, US-AR2, US-ARM, US-ARb, US-ARc, US-Act, US-Akn, US-An1, US-An2, US-An3, US-Atq, US-Aud, US-BRG, US-BRT, US-BSM, US-BZB, US-BZF, US-BZS, US-BZo, US-Bar, US-BdA, US-BdC, US-Beo, US-Bes, US-Bi1, US-Bi2, US-Bkg, US-Blk, US-Blo, US-Bn1, US-Bn2, US-Bn3, US-Bo1, US-Bo2, US-Br1, US-Br2, US-Br3, US-Brw, US-Bsg, US-CF1, US-CF2, US-CF3, US-CF4, US-CPR, US-CPk, US-CRT, US-CS1, US-CS2, US-CS3, US-CS4, US-CZ1, US-CZ2, US-CZ3, US-CZ4, US-CaV, US-Ced, US-ChR, US-Cop, US-Cst, US-Ctn, US-Dea, US-Deu, US-Dia, US-Dix, US-Dk1, US-Dk2, US-Dk3, US-EDN, US-EML, US-Elm, US-Esm, US-FPe}, keywords={MODIS, quality control, gap-filled, surface reflectance, land surface temperature, eddy-covariance stations}, url={https://hdl.handle.net/11676/mByY42L75m_z_NPF-zCvpRZP}, publisher={Carbon Portal}, copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence}, pid={11676/mByY42L75m_z_NPF-zCvpRZP} }
TY - DATA T1 - The FluxnetEO dataset (MODIS) for American stations located in United States (0) ID - 11676/mByY42L75m_z_NPF-zCvpRZP PY - 2023 AB - This is version 2 of quality checked and gap-filled daily MODIS observations of surface reflectance and land surface temperature at global eddy co-variance sites for the time period 2000-2022. Two product versions: one features all MODIS 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. MODIS data comprise 647 eddy covariance sites (see a detailed list in the README of version 2). FluxnetEO v2 MODIS 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 band 5, 6, or 7 as reference, the scaled wide dynamic range vegetation index (sWDRVI), surface reflectance in MODIS bands 1-7. Based on the NASA MCD43A4 and MCD43A2 collection 6 products with a pixel size of 500m. FluxnetEO v2 MODIS land surface temperature: Terra and Aqua, day and night, at native viewing zenith angle as well as corrected to viewing zenith angles of 0 and 40degrees (Ermida et al., 2018, RS, https://www.mdpi.com/2072-4292/10/7/1114). Based on NASA MOD11A1 and MYD11A1 collection 6 at a pixel size of 1km. This is version 2 of the data described in Walther* & Besnard* et al. 2022. A view from space on global flux towers by MODIS and Landsat: The FluxnetEO dataset, Biogeosciences, https://doi.org/10.5194/bg-19-2805-2022. Please refer to the README of version2 to understand the details of the updates between version1 (described in the paper) and version2. The data are separated in zip-files by continents and groups of countries. ZIP archive of netcdf files for stations in Americas: US-A32, US-A74, US-ADR, US-AR1, US-AR2, US-ARM, US-ARb, US-ARc, US-Act, US-Akn, US-An1, US-An2, US-An3, US-Atq, US-Aud, US-BRG, US-BRT, US-BSM, US-BZB, US-BZF, US-BZS, US-BZo, US-Bar, US-BdA, US-BdC, US-Beo, US-Bes, US-Bi1, US-Bi2, US-Bkg, US-Blk, US-Blo, US-Bn1, US-Bn2, US-Bn3, US-Bo1, US-Bo2, US-Br1, US-Br2, US-Br3, US-Brw, US-Bsg, US-CF1, US-CF2, US-CF3, US-CF4, US-CPR, US-CPk, US-CRT, US-CS1, US-CS2, US-CS3, US-CS4, US-CZ1, US-CZ2, US-CZ3, US-CZ4, US-CaV, US-Ced, US-ChR, US-Cop, US-Cst, US-Ctn, US-Dea, US-Deu, US-Dia, US-Dix, US-Dk1, US-Dk2, US-Dk3, US-EDN, US-EML, US-Elm, US-Esm, US-FPe UR - https://hdl.handle.net/11676/mByY42L75m_z_NPF-zCvpRZP PB - Carbon Portal AU - Nelson, Jacob A. AU - Walther, Sophia AU - Weber, Ulrich KW - MODIS KW - quality control KW - gap-filled KW - surface reflectance KW - land surface temperature KW - eddy-covariance stations ER -
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