2026-05-17T02:34:33Zhttp://doidb.wdc-terra.org/oaip/oaioai:doidb.wdc-terra.org:79612024-08-16T12:40:33ZDOIDBDOIDB.GFZfalse4DOIDB.GFZ
10.5880/GFZ.1.4.2024.002
Gottschalk, Pia
Pia
Gottschalk
0000-0003-4842-8893
GFZ German Research Centre for Geosciences, Potsdam, Germany
Kalhori, Aram
Aram
Kalhori
0000-0002-0652-8987
GFZ German Research Centre for Geosciences, Potsdam, Germany
Li, Zhan
Zhan
Li
0000-0001-6307-5200
GFZ German Research Centre for Geosciences, Potsdam, Germany
BASF Digital Farming GmbH, Köln, Germany
Wille, Christian
Christian
Wille
0000-0003-0930-6527
GFZ German Research Centre for Geosciences, Potsdam, Germany
Sachs, Torsten
Torsten
Sachs
0000-0002-9959-4771
GFZ German Research Centre for Geosciences, Potsdam, Germany
Code for linking half-hourly CO2 eddy covariance flux data with Sentinel-2 derived vegetation indices (7) for 05/03/2020 - 23/08/2022 [code]
GFZ Data Services
2024
net ecosystem exchange
gross primary production
ecosystem respiration
satellite derived vegetation indices
NDVI
EVI
EVI2
GNDVI
SAVI
SR
S2REP
EARTH SCIENCE > BIOSPHERE > TERRESTRIAL ECOSYSTEMS > AGRICULTURAL LANDS
environment > natural environment > terrestrial environment
In Situ Land-based Platforms > FIXED OBSERVATION STATIONS
In Situ/Laboratory Instruments > Current/Wind Meters > EDDY CORRELATION DEVICES
Gottschalk, Pia
Pia
Gottschalk
0000-0003-4842-8893
GFZ German Research Centre for Geosciences, Potsdam, Germany
Kalhori, Aram
Aram
Kalhori
0000-0002-0652-8987
GFZ German Research Centre for Geosciences, Potsdam, Germany
Li, Zhan
Zhan
Li
0000-0001-6307-5200
GFZ German Research Centre for Geosciences, Potsdam, Germany
BASF Digital Farming GmbH, Köln, Germany
Wille, Christian
Christian
Wille
0000-0003-0930-6527
GFZ German Research Centre for Geosciences, Potsdam, Germany
Sachs, Torsten
Torsten
Sachs
0000-0002-9959-4771
GFZ German Research Centre for Geosciences, Potsdam, Germany
Gottschalk, Pia
GFZ German Research Centre for Geosciences, Potsdam, Germany
Wille, Christian
GFZ German Research Centre for Geosciences, Potsdam, Germany
Sachs, Torsten
GFZ German Research Centre for Geosciences, Potsdam, Germany
2020-03-04T17:30:00/2022-08-24
Dataset
10.5194/bg-21-3593-2024
10.5880/GFZ.1.4.2024.001
https://code.earthengine.google.com/858361ae4aac7c3fe5227076c9733040
GNU General Public License Version 3 (29 June 2007); Copyright © 2024 Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Potsdam, Germany (Pia Gottschalk, Christian Wille, Zhan Li)
This repository provides the code used for the article "Monitoring cropland daily carbon dioxide exchange at field scales with Sentinel-2 satellite imagery" by Pia Gottschalk, Aram Kalhori, Zhan Li, Christian Wille, Torsten Sachs. The data are used to exemplify how ground measured CO2 fluxes of an agricultural field can be linked with remotely sensed vegetation indices to provided an upscaling approach for spatial CO2-flux projection.
The repository contains the codes produced for the article "Monitoring cropland daily carbon dioxide exchange at field scales with Sentinel-2 satellite imagery" by Pia Gottschalk, Aram Kalhori, Zhan Li, Christian Wille, Torsten Sachs. In this article, the authors present how local carbon dioxide (CO2) ground measurements and satellite data can be linked to project CO2 emissions spatially for agriculutral fields.
The codes are provided for
- footprint analysis and raw flux data quality control (MATLAB codes);
- retrieving Sentinel-2 vegetation indices via Google Earth Engine (GEE code);
- subsequent quality control, gap-filling and flux partitioning following the MDS approach by Reichstein et al. 2005 implemented by the R-package "REddyProc" (R codes);
- statistical analyses of combined EC and Sentinel-2 data (R codes);
- code for all figures as displayed in the manuscript (R codes).
This software is written in MATLAB, R and JavaScript (GEE). Running the codes (R and .m files (Code)) and loading the data files (CSV files and .mat files (Data)) requires the pre-installation of [R and RStudio] (https://posit.co/downloads/) and (MATLAB). The GEE script runs in a browser and can also be opened/downloaded here: https://code.earthengine.google.com/858361ae4aac7c3fe5227076c9733040
The RStudio 2021.09.0 Build 351 version has been used for developping the R scripts. The land cover classification work was performed in QGIS, v.3.16.11-Hannover. Data were analyzed in both MATLAB and R; and plots created with R (R Core Development Team 2020) in RStudio®.The R codes in this repository contain a suite of external R-packages ("zoo"; "REddyProc"; "Hmisc"; "PerformanceAnalytics") which are required for data analysis in this manuscript. The data to run the codes are published with the DOI https://doi.org/10.5880/GFZ.1.4.2023.008 (Gottschalk et al., 2023).
location of EC tower and temporal extend of half-hourly CO2 flux measurements
Bundesanstalt für Landwirtschaft und Ernährung
http://dx.doi.org/10.13039/501100010771
2817ERA10C
GHG-manage