Portfolio

Showcasing our geospatial and AI-driven projects

Our Projects

Showcasing our geospatial and AI-driven work

Crop Commodity Mapping using Machine Learning Approach

National-scale crop monitoring using multi-sensor satellite data and machine learning to detect planting phases and support data-driven agricultural planning.

GISRemote SensingGeo AICrop MappingSpatial Modelling

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Deep Learning for Forest Cover Mapping

Geo-AI solutions for LULC and biomass mapping using LiDAR and multispectral data, supporting Indonesia’s FOLU Net Sink 2030 with validated, policy-ready insights.

GISRemote SensingGeo AIForest Cover

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Seaweed Cover Mapping

Deep learning–based satellite analysis to map seaweed production and monitor dynamic changes driven by market and climate factors.

GISRemote SensingGeo AISeaweed

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Workshop: Geo-AI System for Carbon Storage Assessment

Delivered Geo-AI and remote sensing training for forest carbon monitoring, enabling practitioners to apply AI-driven geospatial methods in support of Indonesia’s FOLU Net Sink 2030 initiative.

GISRemote SensingGeo AIWorkshop

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