The FluxnetEO dataset (Landsat) for African stations located in Burkina Faso, Botswana, Republic of the Congo, Ghana, Mali, Sudan, Senegal, South Africa, and Zambia
11676/z8XvWI70A3dYR7Iv8WSFzrsS (link)
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 Africa: BF-Bon, BW-Ghg, BW-Ghm, BW-Ma1, CG-Hin, CG-Kis, CG-Tch, GH-Ank, ML-AgG, ML-Kem, SD-Dem, SN-Dhr, ZA-Kru, ZA-Map, ZM-Mon
1984-01-31 00:00:00
2022-12-31 00:00:00
monthly
Besnard, S., Walther, S., Weber, U. (2023). The FluxnetEO dataset (Landsat) for African stations located in Burkina Faso, Botswana, Republic of the Congo, Ghana, Mali, Sudan, Senegal, South Africa, and Zambia, Miscellaneous, https://hdl.handle.net/11676/z8XvWI70A3dYR7Iv8WSFzrsS
BibTex
@misc{https://hdl.handle.net/11676/z8XvWI70A3dYR7Iv8WSFzrsS, author={Besnard, Simon and Walther, Sophia and Weber, Ulrich}, title={The FluxnetEO dataset (Landsat) for African stations located in Burkina Faso, Botswana, Republic of the Congo, Ghana, Mali, Sudan, Senegal, South Africa, and Zambia}, 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 Africa: BF-Bon, BW-Ghg, BW-Ghm, BW-Ma1, CG-Hin, CG-Kis, CG-Tch, GH-Ank, ML-AgG, ML-Kem, SD-Dem, SN-Dhr, ZA-Kru, ZA-Map, ZM-Mon}, keywords={quality control, gap-filled, surface reflectance, eddy-covariance stations, Landsat}, url={https://hdl.handle.net/11676/z8XvWI70A3dYR7Iv8WSFzrsS}, publisher={Carbon Portal}, copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence}, pid={11676/z8XvWI70A3dYR7Iv8WSFzrsS} }
RIS
TY - DATA T1 - The FluxnetEO dataset (Landsat) for African stations located in Burkina Faso, Botswana, Republic of the Congo, Ghana, Mali, Sudan, Senegal, South Africa, and Zambia ID - 11676/z8XvWI70A3dYR7Iv8WSFzrsS 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 Africa: BF-Bon, BW-Ghg, BW-Ghm, BW-Ma1, CG-Hin, CG-Kis, CG-Tch, GH-Ank, ML-AgG, ML-Kem, SD-Dem, SN-Dhr, ZA-Kru, ZA-Map, ZM-Mon UR - https://hdl.handle.net/11676/z8XvWI70A3dYR7Iv8WSFzrsS 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 -
Landsat_Africa_BF_BW_CG_GH_ML_SD_SN_ZA_ZM.zip
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Landsat
eddy-covariance stations
gap-filled
quality control
surface reflectance