Earth Intelligence Apps for Enviromental Monitoring

Make better decisions with Earth intelligence applications

Get started with an existing app or build your own today with no code.

Forest monitoring

Orbify allows turning satellite imagery and other geospatial data into intuitive Web applications within a few clicks.

Build your own environmental monitoring app by dragging & dropping various ready-to-use components such as data sources, algorithms and visualisation models.

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Out-of-the-box environmental monitoring and reporting applications

Explore a collection of ready-to-use Earth Intelligence apps for various aspects of environmental monitoring: forestry management, agriculture and precision farming, urban planning, sustainable supply chain management, and more.

What our users are saying

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Orbify's platform is user-friendly, visually appealing, and scales well to host our data needs (high-resolution land cover for the conterminous US). We particularly enjoy being able to share and explore the data in its entirety, as well as distributing portions to our clients with ease.

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Regardless of whether you’re working with SAR or optical imagery, this is the missing link in the Earth Observation tech stack. On top of great product, Orbify has an amazing team of dedicated experts who provided us with support when working with advanced processing.

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What makes Orbify stand out for us is that they take care of the entire technology stack. By letting Orbify take care of everything from frontend to the backend, user management and more, we can focus on the analytical algorithms that we are building.

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By using Orbify’s application templates, we were able to quickly design the application we were looking for and create an intuitive user interface that enables city planners to quickly take advantage of insights around air data quality for their area of interest.

Empowering impact worldwide

Monitoring Air Data Quality with Satellite Imagery

Forest conservation monitoring & risk assessment

Delivering Fully Automated, Cloud-based Remote Sensing Applications