Blog

What Four Basic Data Questions Reveal in Planting Data

What Four Basic Data Questions Reveal in Planting Data

Insights

Where, what happened, when, and what is true now? In planting operations, quantities and species need to connect to a place, a date, and current evidence.

A Spreadsheet Can Look Full and Still Be Missing What Matters

A Spreadsheet Can Look Full and Still Be Missing What Matters

Insights

The fallacy of fullness, and four ordered tests for restoration data—Exhaustive, Complete, Correct, and Current. The payoff is finding gaps while there is still time to act.

Nature restoration field operations

Reporting vs. Operations — The Question Restoration Tech Keeps Getting Wrong

Insights

Restoration tech over-indexes on proving outcomes. The harder question is whether teams can see what's happening early enough to improve them.

Pyramid of the hierarchy of nature restoration data needs, drawn as a layered green mountain in a landscape

A Hierarchy of Data Needs for Nature Restoration Projects

Insights

Five levels of data, from “we planted 100,000 trees” to a living record of your project across seasons. Where you sit on the pyramid determines what you can prove.

Map of the Andes showing Acción Andina project sites

Acción Andina, Transforming Forest Restoration Data

Case Study

How Restoration Scope helped Acción Andina turn valuable field data into actionable insights and compelling impact stories.

Field researcher using a mobile app at a reforestation site

Field-Data Apps for Reforestation Teams

Technology

Compare field-data apps for reforestation by workflow, technical capacity, and who will maintain the system. Includes KoboToolbox, QField, ArcGIS, and restoration-specific alternatives.

Field researchers collecting data in a restoration site

Nature Data is Gold - The Foundation of Successful Restoration Projects

Data

Discover why properly collected and georeferenced data is the most valuable asset for nature restoration projects.