geoprimsField-grade geospatial math

Dataset size estimate

An estimate of how much storage a mapping job needs: the raw images, the orthomosaic (uncompressed and over a compression range), and a lidar point cloud as and .

Planning and education aid. Not for primary navigation. Full disclaimer

Experimental: not yet fully verified. How results are checked

7.5GB

The orthomosaic is about 7.5 GB uncompressed, 0.75 to 3.75 GB compressed.

Orthomosaic at the least compression
Orthomosaic at the most compression
Assumptions
Provenance
Computed by
drone.sensors.dataset-size 1.0.1, core 0.1.0
Model
Orthomosaic bytes = area ÷ GSD² × bands × bits ÷ 8, then divided by an assumed compression range; raw = images × MB each; LAS = 375 + points × the LAS 1.4 record size of the chosen point format; LAZ = LAS ÷ an assumed ratio. 1 GB = 10⁹ bytes
Accuracy
An estimate: compression depends on the content, and processing software adds overviews and tiles. The ratios shown are assumptions you can change, not measurements
Notes
1 shown with the answer
Cites
American Society for Photogrammetry and Remote Sensing, LAS Specification 1.4 R15

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How we got thisFormula, worked example, sources, and proof

Model: Orthomosaic bytes = area ÷ GSD² × bands × bits ÷ 8, then divided by an assumed compression range; raw = images × MB each; LAS = 375 + points × the LAS 1.4 record size of the chosen point format; LAZ = LAS ÷ an assumed ratio. 1 GB = 10⁹ bytes

Show your work

  1. Pixels in the mosaic

    area ÷ GSD²

    1,000,000 m² ÷ (0.02 m)² = 2,500,000,000

  2. Orthomosaic, uncompressed

    pixels × bands × bits ÷ 8

    2,500,000,000 × 3 × 8 ÷ 8 = 7.5 GB

The same steps an agent gets from the MCP server with explain: true.

Accuracy: An estimate: compression depends on the content, and processing software adds overviews and tiles. The ratios shown are assumptions you can change, not measurements

Worked example: 1 km² at 2 cm GSD, RGB 8-bit. Source: add-practitioner-essentials orthomosaic scenario: 7.5 GB uncompressed, with a compressed range at the assumed ratios. It is golden test vector v001, and every build checks the tool still gives its answer within its tolerance.

You enter

Mapped area
1 km2
Ground sample distance
2 cm

You get

Orthomosaic, uncompressed
7.5 GB
Orthomosaic at the least compression
3.75 GB
Orthomosaic at the most compression
0.75 GB
Assumptions
orthomosaic 3 bands of 8 bits, compressed 2:1 to 10:1 (assumed); 1 GB = 10⁹ bytes; an estimate, not a measurement

Review: Not yet independently reviewed by a Part 107 remote pilot.

Last verified: 2026-09-22, when a maintainer last confirmed this tool's sources at the issuer. See the sources ledger.

Status: version 1.0.1, core 0.1.0. See this tool in the verification report.

Changes

Checked against: 9 golden test vectors (download the test vectors, each with its source and tolerance). See how results are checked and every source.

Sources

Terms

LAS: LASer file format
The ASPRS standard file format for lidar point clouds: a header, then one fixed-size record per point. Source: LAS Specification 1.4 R15
LAZ: compressed LAS
A losslessly compressed LAS file, usually several times smaller. Source: LAS Specification 1.4 R15

Experimental means this tool has not yet met the stable bar: at least 20 golden vectors, differential tests, and an independent worked example.

LAS — LASer file format

The ASPRS standard file format for lidar point clouds: a header, then one fixed-size record per point.

Source: LAS Specification 1.4 R15

LAZ — compressed LAS

A losslessly compressed LAS file, usually several times smaller.

Source: LAS Specification 1.4 R15