Queimadas INPE Pricing: Free Access for Public Use (2026)

Pricing overview

Queimadas INPE, managed by Brazil's National Institute for Space Research (INPE), operates on a public service model, providing all its data and monitoring tools free of charge. This approach aligns with its mission to support environmental research and public data analysis for deforestation and climate change studies, particularly concerning forest fires in South America. The platform does not implement any commercial pricing structures, such as subscriptions, pay-per-use fees, or tiered access based on usage volume or features. All available information, including satellite imagery, fire spot detections, and historical data, is accessible without monetary cost or the need for a commercial license.

The primary method of data access involves direct interaction with the Queimadas INPE homepage, where users can browse interactive maps, generate reports, and download datasets. While it does not offer a dedicated developer API in a traditional sense, programmatic access to some data may involve parsing publicly available reports or integrating with OGC-compliant services, if available, for specific data layers. Developers and researchers typically integrate Queimadas INPE data into their applications or studies by downloading datasets for local processing or by building custom scraping solutions for specific web-presented information, adhering to fair use principles.

Plans and tiers

Queimadas INPE does not offer distinct pricing plans or tiers because its services are entirely free. There are no distinctions between user types (e.g., individual, academic, commercial) that affect access or cost. All users are granted the same level of access to the platform's features and data. This single-tier, no-cost model is a fundamental aspect of the project's public utility. The lack of commercial tiers means there are no premium features, enhanced support options, or higher usage limits that can be purchased.

Instead of subscription plans, Queimadas INPE focuses on providing comprehensive documentation and public resources to facilitate data understanding and utilization. Users looking for specific data formats or programmatic access methods are encouraged to review the official Queimadas INPE documentation, which details how to interpret and use the available data products. The platform's operational costs are covered by public funding, allowing it to maintain its open-access policy without imposing direct charges on its users.

Free tier and limits

The entire Queimadas INPE service functions as a permanent free tier. There are no temporary free trials, restricted feature sets, or usage caps that eventually lead to charges. Users can access all available data, including real-time fire detections, historical series, and derived products, without any monetary cost. This includes access to various satellite products and analytical tools provided through the web platform.

While there are no explicit API rate limits or query costs, users are expected to adhere to principles of fair use. Excessive, automated scraping that could impact the service's availability for other users might be discouraged or subject to technical blocks, though INPE's documentation does not specify hard limits. The infrastructure is designed to support public and academic use, and sustained high-volume automated requests without prior coordination could potentially strain resources. For large-scale data needs or specific research projects, it is advisable to consult the Queimadas INPE documentation for recommended data download methods or contact INPE directly for guidance on appropriate access patterns.

The free access encompasses:

• Interactive maps displaying fire hotpots.
• Historical data series for specific regions and timeframes.
• Downloadable geospatial data (e.g., shapefiles, KML).
• Reports and statistical summaries of fire occurrences.
• Access to various satellite data products relevant to fire monitoring.

The primary limitation, from a developer's perspective, is the absence of a standardized, rate-limited public API for direct integration into applications. Programmatic data retrieval often requires custom parsing or scripting, which can increase development effort compared to services with well-documented APIs and SDKs.

Real-world cost examples

Because Queimadas INPE is free, real-world cost examples for its direct use are zero. However, there are indirect costs and development efforts associated with integrating and utilizing its data, especially for programmatic applications.

Consider the following scenarios:

• Academic Research Project: A university researcher wants to analyze fire patterns in the Amazon basin over the last decade. They can visit the Queimadas INPE website, download the relevant historical datasets (e.g., shapefiles of fire detections), and use open-source Geographic Information System (GIS) software like QGIS or programming languages like Python with libraries such as GeoPandas for analysis. The direct cost for Queimadas INPE data is $0. The costs would instead relate to the researcher's time, computing resources for data processing, and potentially licenses for commercial GIS software if used (though open-source alternatives are common in academia).
• Environmental NGO Monitoring: An environmental non-governmental organization (NGO) wishes to create weekly reports on new fire outbreaks in specific protected areas. They could manually check the Queimadas INPE interactive maps or set up a script to regularly download updated daily fire spot datasets. The direct cost for Queimadas INPE data remains $0. The NGO's costs would involve staff time for data retrieval and report generation, and potentially the development and maintenance of custom scripts for automation.
• Start-up Developing a Custom Geospatial Tool: A start-up aims to build a commercial application that visualizes fire data alongside other environmental metrics. If they choose to incorporate Queimadas INPE data, they would face $0 direct data costs. However, they would incur significant development costs for building custom parsers or web scrapers to extract data from the Queimadas INPE platform, as a dedicated API is not available. They would also need to ensure their scraping adheres to fair use and any implicit terms of service to avoid disruption. This contrasts with using a commercial API like Google Maps Platform's Geocoding API or ArcGIS APIs, which have clear pricing models, rate limits, and dedicated developer support.

In all these examples, the financial outlay for the Queimadas INPE data itself is consistently zero, shifting all cost considerations to internal development, processing, and personnel time.

How the pricing compares

Queimadas INPE's free pricing model stands in distinct contrast to most commercial geospatial data providers and API services. Its public utility nature means it operates outside the typical market dynamics of usage-based billing, subscriptions, or tiered access that characterize many alternatives. This makes direct monetary comparisons challenging, as Queimadas INPE offers a unique value proposition for specific use cases.

For projects specifically focused on South American fire data and where development time for custom data ingestion is acceptable, Queimadas INPE offers an unparalleled cost advantage. However, for broader geospatial needs, global coverage, commercial-grade APIs, dedicated support, and reduced developer effort for integration, commercial alternatives become necessary. These alternatives provide documented APIs, SDKs, and a clear service level agreement (SLA), which Queimadas INPE, as a public service, does not typically offer. The trade-off is often between the zero monetary cost of Queimadas INPE and the increased development complexity, versus the monetary cost of commercial APIs for greater ease of integration and feature richness.

It's also worth noting that many commercial geospatial services, such as Google Cloud Platform's broader offerings or AWS EC2 for hosting, provide free tiers or credits that can significantly reduce the initial cost of developing applications that consume geospatial data. These options allow developers to experiment and build without immediate financial commitment, similar in spirit to Queimadas INPE's free access but with different service scopes and integration methods.