Identifying ground temperature observations that have been 'foxed' (datalogger pulled out of the ground by fox or other animal) is necessary to QAQC data. There is no smooth workflow developed yet.
Based on discussions with @stgruber, possible implementations could include:
1. An integration with PDSP:
- get start and end dates of foxing period from PDSP graph
- Enter start and end dates plus location on sensorDB interface (or device? If more than one device can be at a single location, you'd need to know which device you were correcting)
2. An integration with tempcf:
- Create Database connector for tempcf
- select and delete foxed data
- save as log file
- upload log file (you'd also need to know some metadata like device or site location)
Either way, the sensorDb code will need:
Identifying ground temperature observations that have been 'foxed' (datalogger pulled out of the ground by fox or other animal) is necessary to QAQC data. There is no smooth workflow developed yet.
Based on discussions with @stgruber, possible implementations could include:
1. An integration with PDSP:
2. An integration with tempcf:
Either way, the sensorDb code will need: