Jaz: calibration and derive Rrs
Background
Sensors/Modules
- M0 = M2 (Ed sensor)
- M1 = M3 (Lw sensor)
bands_matching.csv: pre-calibrated wavelengths
Calibartion:
first get time_matching.csv
manually fill time_matching.csv and make it time_matching_filled.csv
all.csv: intermediate file, the numbers used in regression
calibration201023.csv
Deriving Rrs:
Select and choose
Release files for YW-jaz 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| YW_jaz-0.1.0.tar.gz | 6.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| YW_jaz-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 13.5 kB
Release files / YW_jaz-0.1.0.tar.gz
| Download URL | YW_jaz-0.1.0.tar.gz |
|---|---|
| Size | 6.0 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
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Release files / YW_jaz-0.1.0-py3-none-any.whl
| Download URL | YW_jaz-0.1.0-py3-none-any.whl |
|---|---|
| Size | 7.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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twine/4.0.2 CPython/3.11.2
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