Planet Launches Amazon.ia to Scale AI-Powered Biodiversity Monitoring Across the Amazon

Planet Labs has launched Amazon.ia - Inteligencia Ambiental, a new biodiversity monitoring initiative that combines satellite observations, ground-based sensors, and artificial intelligence to provide more timely information on ecosystem conditions across the Amazon.

The initiative was formally launched on September 23, 2026, during Climate Week in New York. It brings together more than two dozen organizations spanning research institutions, conservation groups, universities, technology companies, and environmental agencies. Founding support includes funding from the Bezos Earth Fund, which has granted more than $14 million across the Andes Amazon Fund and the World Resources Institute to support work connected to the initiative.

Amazon.ia is intended to address a persistent challenge in biodiversity monitoring: environmental data across the Amazon are often collected through separate research projects, at different scales and with different methodologies. Planet says many existing datasets are geographically limited, infrequently updated or difficult to combine, making it harder for governments, conservation organizations and local communities to assess ecological change across the wider biome.

Combining Observations from Space and the Ground

Rather than relying solely on satellite imagery, Amazon.ia is being designed as a monitoring network that integrates multiple sources of environmental information.

Satellite observations can provide frequent, large-area information on changes such as forest loss, vegetation condition and land-use conversion. Ground monitoring, meanwhile, can capture biological signals that are difficult to identify from space, including individual species, animal activity and other indicators of ecosystem condition.

Amazon.ia plans to combine satellite data with environmental DNA sequencing, solar-powered acoustic sensors and camera traps equipped with edge-computing capabilities. Environmental DNA, or eDNA, can identify organisms from genetic material left behind in soil, water and other environmental samples, while acoustic sensors can detect species through their calls and other sounds. Smart camera traps add visual evidence of wildlife presence and behavior.

The initiative will use multimodal AI to analyze these different data types together. According to Planet, combining molecular, acoustic, visual, and geospatial information could allow researchers to identify patterns in ecosystem health and wildlife populations that would be difficult to detect through any one monitoring method alone.

Planet's satellite infrastructure is expected to contribute near-daily imagery alongside other Earth observation products capable of examining forest structure and environmental change. The company is also involved in other biodiversity-focused satellite initiatives, including Project Centinela, which provides imagery and analytics to conservation teams working in vulnerable biodiversity areas. By early 2026, Planet said that program had expanded to more than 25 sites globally.

A Network Spanning the Amazon Biome

Amazon.ia's proposed monitoring structure includes a pan-Amazonian biodiversity observatory connected to a network of continuously monitored core sites.

These include existing research locations such as Tiputini Biodiversity Station in Ecuador, Los Amigos Biological Station in Peru and the Mamirauá Reserve in Brazil. Additional monitoring sites are expected to cover working landscapes, restoration projects and areas managed by Indigenous and local communities.

This distributed structure is significant because the Amazon extends across several countries and contains widely differing ecosystems, land-use pressures and conservation arrangements. A single remote-sensing dataset can provide regional consistency, but local measurements remain important for understanding how environmental changes affect specific species and habitats.

Among the organizations participating are the Instituto Nacional de Pesquisas da Amazônia, Instituto Humboldt, Cornell Lab of Ornithology, Massachusetts Institute of Technology, Microsoft AI for Good Lab, Smithsonian ForestGEO, Wildlife Conservation Society, Wildlife Insights, World Resources Institute and WWF, alongside universities and research institutions from Amazonian countries.

Turning Biodiversity Data Into Operational Information

One of the initiative's main ambitions is to convert environmental observations into information that can be used more directly in conservation management.

Planned outputs include alerts when ecological conditions change, assessments of biodiversity and ecosystem health, evidence on whether protected areas are achieving their objectives, and indicators of ecosystem recovery following restoration activities. These tools are intended to operate at different scales, from individual landscapes to national jurisdictions and eventually the wider Amazon biome.

For conservation managers, faster information could help identify emerging threats and direct field investigations toward areas showing unusual changes. Governments could potentially use the data to assess the performance of protected areas, while restoration organizations and funders could use repeated measurements to evaluate whether interventions are producing measurable ecological improvements.

The Andes Amazon Fund said the project could help conservation organizations better target interventions and inform management plans for protected areas. The fund is participating as a regranting partner and has emphasized the importance of involving Amazonian scientists and institutions in monitoring biodiversity change.

The initiative also plans to co-develop its analytical models and outputs with users in Amazonian countries. That approach could be important because environmental monitoring systems are more useful when their indicators correspond to the decisions that conservation agencies, local organizations and land managers actually need to make.

Implications for Corporate Nature Monitoring

Although Amazon.ia is primarily structured as a conservation initiative and digital public good, the technologies behind it are also relevant to companies facing growing demands to understand their impacts and dependencies on nature.

Businesses operating in agriculture, forestry, mining, infrastructure and other land-intensive sectors increasingly need geographically specific information on ecosystem condition, land-use change and biodiversity. Combining satellite observations with field measurements could eventually make it easier to establish environmental baselines, identify changes around operational sites and assess whether restoration or conservation projects are delivering measurable outcomes.

Similar technologies are already being developed for corporate environmental monitoring. Planet, for example, offers satellite-based sustainability tools for assessing land-use change and sourcing risks, while environmental DNA and sensor networks are increasingly being used to collect site-level biodiversity evidence.

However, Amazon.ia remains an emerging initiative. The project has outlined the types of data, analytical systems and decision-support tools it intends to build, but the effectiveness of the approach at biome-wide scale will depend on factors including data quality, sensor coverage, model validation, interoperability and sustained participation from local research and conservation organizations.

The initiative therefore represents both a technical experiment and an attempt to build common biodiversity monitoring infrastructure across one of the world's largest and most ecologically complex regions. If the network can successfully connect frequent satellite observations with reliable ground measurements, it could provide conservation organizations with a more continuous picture of how ecosystems are changing and whether efforts to protect or restore them are producing measurable results.

Source: onestopesg.com