Our Work

Selected Projects.

Public-safe summaries of geospatial AI and remote-sensing work. Client names, exact locations, coordinates and confidential deliverables are intentionally omitted.

Synthetic GeoAI globe, satellite, drone and map layers
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Terrain Modeling with ML

High-resolution DEM terrain and hydrological feature modeling for automated erosion-channel extraction.

Machine LearningDEM
AUC 0.9650
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Vegetation Mapping & Classification

Deep-learning semantic segmentation using multispectral imagery for complex vegetation classes.

Deep LearningUAV Imagery
Generic synthetic geospatial project visual

Water Body Detection

Adaptive spectral and object-based analysis for robust high-resolution water extraction.

Computer VisionRemote Sensing
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Tree Health Monitoring

Object detection, geolocation and satellite time-series monitoring for tree-level health assessment.

YOLOv11Sentinel-2
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Object-Based Wetland Mapping

Spectral indices, elevation and canopy-height information combined in an OBIA workflow.

OBIAClassification
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SAR Wetland Classification

L-band SAR calibration, speckle filtering and decomposition for wetland class extraction.

SARWetlands
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Coastal Ecology Mapping

Remote-sensing classification and ecological interpretation for coastal land-cover assessment.

CoastalEcology
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Urban Surface Classification

Pervious/impervious mapping designed to support drainage and spatial modeling workflows.

ClassificationGIS