Example data Open Science & Archaeology Neglectedness 8/10 · Overlooked (example)

Example: LiDAR Lost Landscapes Survey

Airborne LiDAR mapping of forested areas, with open data.

Photo placeholder Rendered LiDAR relief showing faint ridges beneath a forest A fictional hillshade of terraces hidden by trees.

The story

LiDAR can see through leaves, revealing terraces, roads and walls that walkers pass without noticing. The survey flies new areas and posts the raw data openly.

Local archaeologists get first look, then anyone can download the maps and join the search.

The team

  • Dr. Selene Ibarra · Principal investigator
  • Hugh Tarrant · Flight planner
  • Anika Rao · GIS analyst

Example team (fictional people, for illustration only).

Efficiency rating

A Source: Example data - not sourced, as of

95¢ of every $1 reaches the work
  • Reaches the work: 95¢
  • Overhead: 3¢
  • Advertising: 1¢
  • Executive pay: 1¢
Where each dollar goes Where each dollar goes: 95¢ reaches the work, 3¢ overhead, 1¢ advertising, 1¢ executive pay. 95¢ reaches the work
  • Reaches the work: 95¢
  • Overhead: 3¢
  • Advertising: 1¢
  • Executive pay: 1¢
Show data table
Where each dollar goes (Example data)
CategoryCents per $1
Reaches the work95
Overhead3
Advertising1
Executive pay1

How the work budget is spent (example data)

How the work budget is spent How the work budget is spent: 50% program activities, 25% tools and equipment, 15% training, 10% open publication.
Program activities
50%
Tools and equipment
25%
Training
15%
Open publication
10%
Funding goal
$600,000
Raised
$330,000
Location
Example Forest

About this project

A fictional survey team that maps forest-covered terrain with LiDAR to reveal hidden earthworks, then releases the point clouds publicly. Placeholder numbers.

Impact / Why it matters

LiDAR can reveal ancient settlements hidden under forest, and open data lets everyone study them.

LiDAR measures the ground with laser pulses from the air. Because some pulses slip through gaps in the leaves, researchers can digitally remove the trees and see the shape of the land underneath, including walls, roads and terraces.

This has revealed entire settlements that walking surveys missed for generations. A survey can cover in days what once took many seasons, and it shows archaeologists where excavation is most worth the effort.

Publishing the data openly means scholars, students and local communities can all explore it, and the sites can be protected before looters or development find them.

Sq km delivered per quarter Sq km delivered per quarter: Q1 2025 6, Q2 2025 13, Q3 2025 17, Q4 2025 21, Q1 2026 28, Q2 2026 32. 0 12.5 25 37.5 50 Q1 2025: 6 sq km Q1 2025 Q2 2025: 13 sq km Q2 2025 Q3 2025: 17 sq km Q3 2025 Q4 2025: 21 sq km Q4 2025 Q1 2026: 28 sq km Q1 2026 Q2 2026: 32 sq km Q2 2026

Sq km delivered per quarter (example data, in sq km)

Show data table
Sq km delivered per quarter (example data)
Quartersq km
Q1 20256
Q2 202513
Q3 202517
Q4 202521
Q1 202628
Q2 202632

Project updates

Example updates: fictional news for illustration. Newest first.

  1. Second flight season complete

    Nearly 200 square kilometers were scanned over nine days of clear weather.

  2. Open data portal launched

    Point clouds and terrain models can now be downloaded without an account.

  3. Field team confirms a site

    A ground visit confirmed a walled enclosure first spotted in the scan.

Example data. This project and its figures are fictional placeholders. See the methodology for how real ratings will be sourced.