Luminance
Browse Luminance conversions1 apostilb = 0.0001 lambert
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Formula Summary
Result: 1 apostilb = 0.0001 lambert
Formula: (1 x 0.318309886184) / 3183.09886183791
Rounding: Displayed to 6 decimal places by default, trimmed for readability. Use Detailed or Scientific for more precision.
Real World Context
0.0001 lambert is approximately:
- on the scale of very dim instrument or dashboard markings viewed at night
Unit Story
Apostilb
The apostilb is an older luminance unit equal to one divided by pi candelas per square meter.
Lambert
The lambert is an older CGS luminance unit equal to about 3183.10 nits. It is much larger than the foot-lambert.
How This Conversion Works
Apostilb and lambert are both used for luminance conversions. This page converts 1 apostilb into 0.0001 lambert using the formula shown below.
Use this result for quick checks, comparisons, and everyday reference. For work that depends on exact precision, review the rounding setting and the assumption note before using the number.
The precision controls let you switch between a shorter result, the standard readable result, and scientific notation when the value is very large or very small.
Unit Notes
- 1 apostilb (asb) equals 0.3183098862 candela per square meter.
- 1 lambert (lambert) equals 3183.0988618379 candela per square meter.
Questions
How do you convert apostilb to lambert?
This page converts apostilb to lambert using this formula: (1 x 0.318309886184) / 3183.09886183791.
What is 1 apostilb in lambert?
1 apostilb equals 0.0001 lambert.
How many decimals does this converter show?
Displayed to 6 decimal places by default, trimmed for readability. Use Detailed or Scientific for more precision. The precision buttons can also show a shorter result or scientific notation.
Equivalent Values
Nearby Values
Full Details
- Formula
- (1 x 0.318309886184) / 3183.09886183791
- Rounding
- Displayed to 6 decimal places by default, trimmed for readability. Use Detailed or Scientific for more precision.
- Assumption
- Luminance describes luminous intensity per projected area. Display and surface examples are broad references because calibration, viewing conditions, measurement method, and peak versus sustained output affect real values.
