Better context beforebuying or selling land.

Rural property decisions are made with very little shared context. Buyers, sellers and advisors rely on visits, word of mouth and scattered documents. Campo Bueno is my independent product exploring how public satellite and geospatial data can fill that gap.

The data exists, but it is fragmented, technical and hard to read. Turning imagery, indices, climate series and land history into a report a non-specialist can trust is a product problem as much as a data problem.

• Product definition, positioning and landing page.
• Geospatial pipeline on Google Earth Engine: boundaries, vegetation indices, deforestation and climate signals.
• Interactive map and report interface in Next.js and TypeScript.
• Data model and infrastructure on PostgreSQL and cloud services.

• Start from the report the user needs, then decide which analyses are worth computing.
• Precompute heavy analyses and keep the interactive layer light.
• Show confidence and limitations explicitly instead of overstating what satellite data can prove.

• A preliminary analysis should say clearly what it is not: not a survey, not a legal opinion.
• Every signal needs a plain-language explanation next to it.
• The output must be presentable to a third party, not just readable by the person who ordered it.

• Next.js
• TypeScript
• Satellite imagery
• Google Earth Engine
• NDVI
• Deforestation analysis
• Climate data
• Interactive maps
• PostgreSQL
• Cloud infrastructure

A live product with a public landing page and a working analysis pipeline. Ongoing development as an independent project.