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NusaCarbon connects satellite observation, aerial mapping, ground validation, environmental telemetry, and AI-assisted calibration into one trusted data pipeline for carbon and ecosystem monitoring.
Satellite intelligence · Ground truth workflows · Environmental telemetry · Uncertainty scoring · Audit-ready reporting support
Carbon and ecosystem monitoring cannot rely on one data source alone. Orbital data, aerial mapping, field validation, sensor telemetry, and structured evidence — one pipeline.
Large-scale observation for land cover, vegetation signals, environmental change, and project screening.
Drone and LiDAR workflows for canopy structure, terrain modeling, and high-resolution environmental mapping.
Plots, trees, soil, photos, drone, devices, expert review.
Macro ground stations and micro environmental nodes for long-term field telemetry.
AI-assisted analysis comparing satellite, drone, sensor, and field records to reduce uncertainty.
Satellite observation enables large-scale monitoring, but environmental verification requires context. Cloud cover, canopy density, terrain variation, soil conditions, and local ecosystem differences can create uncertainty. NusaCarbon is designed to identify that uncertainty and turn it into structured validation missions.
When a polygon shows high uncertainty, NusaCarbon generates a structured validation workflow. Field teams, students, expert partners, or internal operators can collect plot records, tree measurements, soil samples, drone outputs, phone images, and sensor data through one organized system.
Hardware is positioned as data acquisition infrastructure, not as gadgets for show. Each layer captures a different slice of the environment and feeds the same calibration pipeline.
Multi-source satellite observation for large-area environmental screening and monitoring.
DJI Matrice 350 RTK + Zenmuse L2
Enterprise aerial LiDAR and drone mapping workflows for terrain, canopy, and forest structure analysis.
Visible, project-grade environmental monitoring station for official field deployments and long-term telemetry.
Low-profile, tamper-resistant environmental node for long-term research telemetry and soil or microclimate monitoring.
Experimental under-canopy sensing research for future tree-level measurement automation and DBH data acquisition.
Internal software layer that turns every captured record — orbital, aerial, station, node — into one comparable, time-aligned dataset.
NusaCarbon Engine connects remote sensing, field evidence, environmental telemetry, metadata, uncertainty scoring, and AI-assisted calibration into one structured data pipeline.
Coverage spanning terrestrial, blue carbon, and soil ecosystems — implemented as standards-aware workflows with full provenance tracking and uncertainty disclosure.
Endpoints for project screening, monitoring, uncertainty scoring, and reporting workflows. Early access in 2026.
Global models are powerful, but Indonesia's forests, mangroves, peatlands, and coastal ecosystems require local calibration. NusaCarbon is designed to build Indonesia-specific environmental datasets from satellite observations, drone mapping, field validation, weather telemetry, and expert-reviewed records.
NusaCarbon highlights where confidence is strong, where field validation is needed, and what evidence supports each result.
Every estimate is shown with the uncertainty band the data actually supports.
Every input is tagged: satellite, field, methodology default. Source and timestamp preserved.
Calculator versions are pinned and recorded so reports stay reproducible.
Drones, sensors, phones, and field devices are registered with serial and metadata.
Field records pass through review by qualified partners or internal experts.
Every change to a project's records is timestamped and retained.
Draw a polygon, pick a methodology, get a satellite pre-assessment with full provenance and uncertainty disclosure. Upgrade to field-validated workflows through the partner network when you're ready for accredited third-party review.
Five pathways from a single polygon screening to a portfolio-scale monitoring program. Pricing reflects the depth and logistics each project actually needs.
Faculty and student access on .ac.id and .edu emails. The same methodology workflows, with class management and research collaboration on top.
Class management. Methodology customisation. Co-author export for research.
Methodology-rigorous outputs on real satellite data. Thesis-grade reports.
MoU model. Research collaboration on Indonesian carbon ecosystems.
Join the network of local MRV consultants, universities and NGOs providing on-site validation. Your team handles field evidence. NusaCarbon handles the data layer and reporting pipeline. Certified validation or verification still follows the requirements of the selected standard, registry, or accredited third-party entity.
On-site expertise combined with an autonomous calibration engine.
Reports formatted to match SRN, IDXCarbon, and Verra documentation requirements.
No exclusivity — consultants, universities, NGOs all welcome.
Advanced DMRV systems for carbon, nature, and environmental intelligence.
NusaCarbon provides digital assessment, monitoring, field validation workflow, and reporting support. Certified carbon credit validation or verification must be performed by accredited third-party entities where required by the selected standard, registry, or regulation.
