Open Earth Articles

Digital twins, machine-readable world models, open geospatial data, and the APIs agents use to read the physical world.

Nov 11, 2026

Building a Licence-Clean Data Pipeline from Day One

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Nov 9, 2026

Attribution in Practice: Doing It Properly Without Ruining the Design

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Nov 7, 2026

Staleness: How Old Is Your Map, Really

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Nov 4, 2026

The False Precision Problem in Spatial Data

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Nov 2, 2026

When Absence Is Not Evidence: Reading Empty Results Correctly

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Oct 31, 2026

Coverage Bias: Why Your Map Is Wrong About Poor Places

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Oct 29, 2026

Estimating Economic Activity Without Official Statistics

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Oct 26, 2026

Measuring Urban Density and What the Number Actually Means

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Oct 24, 2026

Insurance Risk Scoring from Open Geospatial Data

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Oct 22, 2026

Last-Mile Logistics: Deciding Whether a Street Is Passable

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Oct 20, 2026

Infrastructure Gap Analysis: Finding What Is Not There

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Oct 17, 2026

Retail Catchment Analysis Without Proprietary Footfall Data

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Oct 15, 2026

Flood Exposure Analysis from Public Hazard Feeds

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Oct 13, 2026

Site Selection with Open Data: A Practical Method

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Oct 11, 2026

How Agents Should Handle Missing Data

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Oct 8, 2026

Structured Output and Free Text: Which One Spatial Answers Need

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Oct 6, 2026

The Cost of a Tool Call: Budgeting Latency and Tokens

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Oct 4, 2026

Delegated Credentials: How Agents Should Authenticate

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Oct 2, 2026

Designing Error Responses an Agent Can Recover From

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Sep 29, 2026

Caching Strategy for Geospatial APIs

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Sep 27, 2026

Why Agents Need Confidence Scores, Not Just Answers

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Sep 25, 2026

Rate Limiting for Autonomous Callers

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Sep 23, 2026

What Is an Agent Manifest, and Why Your API Needs One

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Sep 20, 2026

Tool Design for AI Agents: Writing Descriptions Models Actually Read

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Sep 18, 2026

Ground Truth: How to Validate a Spatial Model Honestly

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Sep 16, 2026

Reading Storefronts: What Vision Models Can and Cannot Tell You

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Sep 14, 2026

Tree Canopy Mapping from Aerial Imagery

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Sep 11, 2026

How to Measure a Street Without Going There

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Sep 9, 2026

Conflation: Merging Two Maps Without Creating a Third Wrong One

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Sep 7, 2026

Change Detection: Finding What Moved Between Two Surveys

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Sep 5, 2026

What Is Photogrammetry, and When Do You Actually Need It

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Sep 2, 2026

Monocular Depth Estimation: Measuring Distance from a Single Photo

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Aug 31, 2026

Segmentation and Detection: Two Ways Machines See Aerial Imagery

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Aug 29, 2026

How to Estimate Building Height from Satellite Imagery

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Aug 27, 2026

Where to Find Open Building Footprint Data, and What It Costs You

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Aug 24, 2026

AIS and ADS-B: Tracking Ships and Aircraft with Open Feeds

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Etzal Earth
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Aug 22, 2026

Open Elevation Data: SRTM, Copernicus DEM, and When to Use Each

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Aug 20, 2026

VIIRS Night Lights: Measuring Human Activity from Orbit

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Aug 18, 2026

What Is GDACS? Global Disaster Alerts and How to Use Them

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Aug 15, 2026

Sentinel-2 for Beginners: Free Satellite Imagery and What You Can See

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Aug 13, 2026

Overture Maps Explained: What the Open Map Foundation Actually Ships

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Aug 11, 2026

OpenStreetMap for Developers: What It Contains and How to Query It

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Aug 9, 2026

Point, Line, Polygon: The Three Shapes That Describe the World

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Aug 6, 2026

What Is a Spatial Join? The Operation Behind Most Location Analysis

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Aug 4, 2026

Geocoding and Reverse Geocoding: Turning Text into Coordinates

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Aug 2, 2026

Map Projections: Why Every Flat Map of Earth Is Wrong

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Jul 31, 2026

What Is a Bounding Box? The Most Common Unit of Spatial Queries

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Jul 28, 2026

Coordinate Systems Explained: Why Your Data Lands in the Wrong Ocean

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Jul 26, 2026

Vector and Raster: How Geographic Data Is Actually Stored

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Jul 24, 2026

What Is Spatial Intelligence? How Machines Build an Understanding of Place

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Jul 23, 2026

What Is a Digital Twin of Earth? How Machine-Readable World Models Work

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Jul 22, 2026

Keyless APIs: Why Open Earth Data Should Not Need a Signup

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Jul 21, 2026

MCP for Geospatial Data: How AI Agents Read the Physical World

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Jul 20, 2026

Open Data Licensing for Builders: ODbL, CDLA and What You Can Actually Ship

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