An open platform for exploring and analysing change with analysis-ready satellite data, without downloading or preparing data from scratch.

Six connected services. Choose one to see its interface, capabilities and available endpoint.
Explore and access geospatial data available on our platform freely.

Six operational use cases — each card shows the earth observation product, the sensor used, and how often the data is refreshed.

Tropical cyclone Senyar brought heavy rainfall to Southeast Asia starting November 2025. Sentinel-1 radar imagery is used to detect flood inundation based on backscatter change between pre-flood and flood scenes.

Analysis of coastline change using multi-temporal Landsat imagery and a tidal model, with a case study on Jakarta's north coast.

Sentinel-2 data used to monitor annual rice growth via NDVI, LSWI, EVI, and NDRE indices, producing phenology maps, harvest estimates, and a monitoring dashboard for Telagasari.

Using the Bare Soil Index (BSI) method to compute the extent of the nickel mining area on Gag Island, Raja Ampat, based on bare-soil identification.

Sentinel-2 data combined with a Random Forest classifier to delineate mangroves via spectral indices, with a case study south of Denpasar, Bali.

NDVI and Land Surface Temperature (LST) used to analyse surface temperature and geothermal plant activity, with a case study at Kamojang, West Java.
Latest news, articles, and updates about the Piksel platform and digital earth observation.

BIG's Directorate of Thematic Mapping and BRIN's Geoinformatics Research Center discussed opportunities for collaboration between the Piksel and GEOMIMO applications to strengthen the use of geospatial technology in support of national development policy and research.

Piksel uses VIIRS and Sentinel-2 data to trace the timing, location, and progression of the Bromo fire, as well as surface changes before and after the event. This satellite data integration supports spatio-temporal analysis for fire monitoring and impact assessment.

Drought has been affecting parts of Indonesia. The Barito River has seen a significant drop in water levels. Piksel was used to detect and track those changes.

Piksel was launched on August 18, 2026. The platform supports large-scale use of satellite imagery through integrated remote sensing data processing and analysis.

Over the past few months, the Piksel team has started using AI agents to speed up building the platform, from developing applications to processing satellite imagery. The direction and quality of the work still rest with the people behind it.

Thousands of satellite images are processed into a cloud-free map that shows Indonesia's surface more clearly and consistently, supporting analysis, regional monitoring, and decisions grounded in accurate data.