Jakarta, INTI - Indonesia is a vast archipelagic nation stretching from Sabang to Merauke, home to thousands of islands, expansive tropical rainforests, agricultural fields, mining areas, rivers, mountains, and an extensive coastline. This natural wealth also presents a major challenge: how can changes across the country be monitored quickly, accurately, and continuously?

While direct field monitoring remains essential, it is not always practical. Distances between islands, challenging terrain, transportation costs, and limited manpower make conventional monitoring time-consuming and expensive. This is where satellite-based remote sensing is becoming increasingly strategic.

Satellites provide Indonesia with an “eye in the sky.” Hundreds of kilometers above Earth, they can regularly capture images of land and sea. When satellite data is combined with artificial intelligence (AI), Indonesia has greater opportunities to identify important changes at an early stage, from deforestation, floods, and wildfires to crop conditions and coastal changes.

One company active in satellite-based Earth observation is San Francisco-based Planet Labs. The company has built and launched around 450 small satellites, with more than 200 still operating in low Earth orbit at altitudes of approximately 400–600 kilometers.

Its satellite constellation can collect imagery covering more than 350 million square kilometers every day, making Planet Labs one of the world’s commercial Earth-observation networks with one of the highest observation frequencies.

Unlike conventional satellites, which tend to be large, expensive, and individually operated, Planet Labs uses small satellites, including its Dove satellite family. Their compact size allows them to be produced more efficiently, developed faster, and deployed in large numbers as a constellation.

As a result, these satellites can provide more than individual images of Earth. They can create a continuous visual record of changes on the planet’s surface, day by day, week by week, and season by season.

The satellites’ multispectral imagery captures multiple bands of the electromagnetic spectrum, allowing users to assess vegetation, soil, water, built-up areas, and changes in landscapes.

For Indonesia, the ability to monitor changes regularly is highly valuable. The country needs continuously updated data to oversee forests, peatlands, mangroves, agricultural areas, mining sites, coastlines, shipping routes, and infrastructure development across its many islands.

AI Helps Turn Satellite Data into Actionable Insights

The next challenge is the sheer volume of data. With hundreds of satellites continuously generating imagery, it would be impossible for humans to examine every image individually. This is where AI becomes an important component of modern remote-sensing systems.

Through machine learning and computer vision, computers can compare new imagery with archived data and identify locations where significant changes have occurred.

These changes may include vegetation loss, newly constructed roads, expanding mining areas, flood-related inundation, new buildings, signs of wildfires, or shifts in coastlines. AI does not replace human decision-making; instead, it accelerates the process of filtering information so that authorities can focus on areas requiring further investigation.

For Indonesia, this technology could help shift monitoring from a reactive approach, waiting for reports, to a more proactive model: identifying potential changes early, conducting field verification, and taking appropriate action.

In forestry, satellite imagery can help detect new land clearing, changes in forest cover, wildfire impacts, and the progress of mangrove and peatland restoration.

In agriculture, AI can help classify land use, analyze vegetation indices, identify crops experiencing water stress, and estimate areas at risk of crop failure. Such information could help local governments, agricultural extension workers, and businesses respond more effectively by identifying areas that may need water, seeds, fertilizer, or technical assistance before disruptions become larger threats to food production.

The technology also has significant applications in disaster management. During floods, landslides, forest fires, or volcanic eruptions, satellite imagery combined with AI analysis can help map affected areas, identify changes in landscapes, assess disruptions to road access, and determine locations that should be prioritized for emergency assistance and recovery.

In the maritime and coastal sectors, similar technology can be used to monitor port development, construction activities, strategic assets, coastal changes, and environmental compliance. For an archipelagic country like Indonesia, regular monitoring from space is increasingly becoming a strategic necessity rather than simply a technological option.

ASEAN Explores Satellite and AI Cooperation

These opportunities were among the key areas highlighted during a visit by ASEAN ambassadors in Washington, D.C., to Planet Labs on August 13, 2026. The visit was organized at the invitation of the US-ASEAN Business Council and led by Ambassador Brian McFeeters.

Indonesian Ambassador Indroyono Soesilo also participated in the visit. In addition to his diplomatic role, Indroyono has expertise in remote sensing and is a graduate of the University of Michigan.

The ASEAN ambassadors received a presentation from Planet Labs co-founder and current Chief Strategy Officer Robbie Schingler. In a separate meeting, Schingler told Ambassador Indroyono that Planet Labs has worked with several Indonesian institutions, including the Indonesian Navy, Indonesian Army, Ministry of Agriculture, National Research and Innovation Agency (BRIN), National Disaster Management Agency (BNPB), and Maritime Security Agency (BAKAMLA).

These collaborations demonstrate the growing relevance of satellite-based Earth observation to Indonesia’s needs, including food security, natural resource management, disaster mitigation, territorial monitoring, and maritime security.

Ambassador Indroyono suggested that Indonesia’s cooperation with Planet Labs should go beyond the use of satellite data and services. He encouraged the development of joint applied research, ranging from small-satellite development to the application of AI for monitoring Indonesia’s natural resources.

This direction is particularly important given Indonesia’s significant national needs, as well as its growing pool of talent, research institutions, and experience in satellite development.

BRIN is expected to launch an Indonesian-built remote-sensing microsatellite in early 2027. The initiative builds on capabilities developed by the former National Institute of Aeronautics and Space (LAPAN), which developed and launched Indonesian remote-sensing satellites beginning in 2007.

Conclusion 

Satellite-based remote sensing and AI offer Indonesia a powerful way to monitor its vast and geographically dispersed territory more efficiently. By combining frequent satellite imagery with AI-driven analysis, authorities can identify changes in forests, agriculture, mining areas, coastlines, and disaster-affected regions at an earlier stage. Going forward, stronger collaboration in satellite development, applied research, and AI could help Indonesia strengthen environmental protection, food security, disaster preparedness, maritime monitoring, and sustainable management of its natural resources.

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