Published December 17, 2024
| Version v1
Dataset
Open
Inferring methane emissions from African livestock by fusing drone, tower, and satellite data
Description
This data set includes:
| DEM_Kapiti.zip | Digital Elevation Map of Kapiti Research Station, Kenya |
| FlightReader.zip | Drone flight logs processed by FlighReader (flightreader.com) |
| flight_notes.xlsx | Field notes of drone flights |
| Strato.zip | Methane sensor data |
| ECtower_Kapiti.zip | Eddy-covariance tower data |
| 06_df_withZ.csv | Data file including surface elevation (from DEM) at drone location |
| source_polygons.zip | Shapefiles of the outline of the herds inside in the boma |
The data processing scripts are available at: https://github.com/AlouetteUiO/MIK.
The manuscript of this study will be submitted to Biogeosciences (EGU journal).
Files
06_df_withZ.csv
Files
(3.4 GB)
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Additional details
Funding
- The Research Council of Norway
- Strategies for Circular Agriculture to reduce GHG emissions within and between farming systems across an agro-ecological gradient (CircAgric-GHG) 333232
- The Research Council of Norway
- Upscaling hotspots - understanding the variability of critical land-atmosphere fluxes to strengthen climate models (Spot-On) 301552
- European Research Council
- Actively learning experimental design in terrestrial climate science (ACTIVATE) 101116083
Software
- Repository URL
- https://github.com/AlouetteUiO/MIK
- Programming language
- Python