Canopy Gap Fraction Dot-Grid Aerial Photo Tool
Audit aerial photo dot-grid gap observations with unassessed whole-grid bounds, unlike supplied canopy-covered ground area or hemispherical crown solid angle. Caller independently verifies units, applicability and matching conditions; no operational recipe, safety certification, causal efficacy or legal/resource classification is inferred.
Description
A dot-count canopy-gap fraction depends on the sampling weights and independently annotated gap evidence.
A dot-count canopy-gap fraction depends on the sampling weights and independently annotated gap evidence.1
Bounding missing observations distinguishes an observed known fraction from a complete canopy estimate. Use this tool to calculate canopy gap fraction dot-grid aerial photo tool from the supplied measurements and assumptions.
When to use Canopy Gap Fraction Dot-Grid Aerial Photo Tool
Use this tool to calculate canopy gap fraction dot-grid aerial photo tool from the supplied measurements and assumptions. Establish the species/site, survey protocol, units, sampled area or exposure, and the independently chosen reference or model.
How to use Canopy Gap Fraction Dot-Grid Aerial Photo Tool and understand its results
- Establish the species/site, survey protocol, units, sampled area or exposure, and the independently chosen reference or model.
- Enter observedDotGapFlags, observedDotRepresentedAreaWeights, knownDotAssessmentFlags, using the field meanings and rules below, then run the tool.
- Read knownDotGapFraction, wholeGridGapLowerBound, wholeGridGapUpperBound. Interpret the fields using their units, signs and evidence conventions below.
- If input validation fails, correct the reported field and run again. Before applying the result, check reference scope, model assumptions and any missing evidence or placeholder values.
| Input field | Meaning | Value type | Requirement |
|---|---|---|---|
| observedDotGapFlags | Observed dot gap flags; binary 0/1 under the definitions below | list of number | Required |
| observedDotRepresentedAreaWeights | Observed dot represented area weights | list of number | Required |
| knownDotAssessmentFlags | Known dot assessment flags; binary 1=known, 0=unknown, in the order described below | list of number | Required |
Enter nonempty aligned nonnegative dot weights and binary gap and known flags, with positive total and known weights. Return known gap weight/known weight. Bound the complete-sample fraction between knownGapWeight/totalWeight and (knownGapWeight+unknownWeight)/totalWeight, retaining the unknown contribution rather than assigning it a value.
knownGap=Σweight×gap×known; knownFraction=knownGap/knownWeight; lower=knownGap/totalWeight; upper=(knownGap+unknownWeight)/totalWeight Use the exact units, boundary rules, ordering and missing-evidence conventions above.
| Output field | Meaning | Value type |
|---|---|---|
| knownDotGapFraction | Known Dot Gap Fraction; follow the units, sign, ordering and evidence convention stated above | number |
| wholeGridGapLowerBound | Whole Grid Gap Lower Bound; follow the units, sign, ordering and evidence convention stated above | number |
| wholeGridGapUpperBound | Whole Grid Gap Upper Bound; follow the units, sign, ordering and evidence convention stated above | number |
{
"input": {
"observedDotGapFlags": [
1,
0,
1
],
"observedDotRepresentedAreaWeights": [
1,
2,
1
],
"knownDotAssessmentFlags": [
1,
1,
0
]
},
"output": {
"knownDotGapFraction": 0.3333333333333333,
"wholeGridGapLowerBound": 0.25,
"wholeGridGapUpperBound": 0.5
}
}Limitations and assumptions
Bounding missing observations distinguishes an observed known fraction from a complete canopy estimate. Interpretation depends on the units, sampling scope and exact model described above.
All listed fields require explicit values. Unexpected fields, incorrect types, nonfinite numbers and sparse evidence arrays fail validation; the specific bounds and alignment requirements are stated above. Extremely large inputs or outputs can also be rejected. An input error is distinct from a successful result reporting false, no matches or missing evidence.
Alternative or Complementary methods
Use Crown Closure Percentage Calculator for this related task: Crown closure uses independently annotated sky obstruction under a sampling design.
Use Foliage Height Diversity Index Calculator when its separate inputs and assumptions fit the question: Vertical foliage diversity summarizes how measured foliage is distributed among chosen height bins.
References
Similar or alternative tools
- Crown Closure Percentage Calculator
Crown closure uses independently annotated sky obstruction under a sampling design.
- Foliage Height Diversity Index Calculator
Vertical foliage diversity summarizes how measured foliage is distributed among chosen height bins.