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View Code? Open in Web Editor NEWA Python implementation of observer-based audibility modelling methods
A Python implementation of observer-based audibility modelling methods
Right now, ambient levels can be provided that set a detection threshold more sensitive than the human ear. This represents a potential source of error, especially given we are using residual ambient
To fix this problem we simply need to use the maximum of the ISO 226:2003 equal loudness contour for the threshold of human hearing and the ambience curve in each band.
When running ground truthing on some machines, users encounter ModuleNotFoundError
when attempting to use run_ground_truthing.py
:
Traceback (most recent call last): File "C:\Users\DBetchkal\PythonScripts\GITHUB\NPS-ActiveSpace\_DENA\scripts\run_ground_truthing.py", line 8, in <module> import nps_active_space.ground_truthing as app ModuleNotFoundError: No module named 'nps_active_space'
This is a long-term functionality issue related to the ground truthing module.
Essentially, there are often circumstances where a single vehicle track passes through a study area more than once. It would be ideal to be able to annotate multiple sections of the same spectrogram. This would result in several disjunct segments of GPS points.
Right now, we pick one segment to annotate and the other is ignored - introducing deliberate false negatives into the results. If the ignored section is consistently in an under-represented portion of the active space, it could introduce bias into the spatial extent of the study area?
Like ADS-B for aircraft, AIS data describe vessel positions in space. It'd be ideal to add AIS support to the ground truthing module, if possible for the next release.
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