TheMapper
Professional IT Consultant
3D Laser Scanning
Drone Mapping
GIS & Spatial Data Science
GNSS Surveying
SCAN to BIM
IT Consultant
Software Development
System Integration
Data Modeling
Knowledge Transfer
01
GEO-AI for forestry
The circular diagram is designed to visualize the spatial distribution of trees within a surveyed plot by integrating multiple structural attributes. It simultaneously presents tree cover, diameter at breast height (DBH), and height, allowing for a comprehensive interpretation of stand structure and variability. This representation enhances the ability to assess forest composition, detect patterns in tree size distribution, and support ecological or silvicultural analyses.
02
AI for Landuse changes
The Image Understanding application integrates advanced GeoAI techniques to analyze multi-temporal geospatial imagery and detect land-use and land-cover changes with high accuracy. By allowing users to upload a sequence of satellite or aerial images, the system applies deep-learning–based feature extraction, object recognition, and color–texture analysis to quantify structural, spectral, and contextual changes across time steps (T0–T1–T2–T3). The AI engine computes metrics such as overall change, object-level transformations, scene alterations, and spectral differences, yielding confidence-scored outputs that highlight deforestation, agricultural expansion, urban growth, and infrastructure development. Through its time-to-time analysis module, the system systematically identifies patterns such as new road networks, altered vegetation cover, and emerging land parcels, enabling evidence-based monitoring for environmental assessment, land management, policy decision-support, and long-term landscape change studies.
03
GEO-3D Visualization
The 3D Tree Explorer provides an interactive, spatially explicit visualization of tree structural attributes within a surveyed plot, enabling users to analyze forest composition and stand dynamics in three dimensions. Each tree is rendered as a point-based object whose size and color encode biometric properties such as diameter at breast height (DBH), tree cover, height, and species identity. By integrating precise field measurements with coordinate-based mapping, the system reconstructs the spatial arrangement of trees and their vertical stratification, allowing researchers to interpret stand density, species distribution patterns, and competitive interactions. The platform supports AI-assisted data extraction by linking tree metrics with geospatial coordinates, enabling further modeling of forest structure, biodiversity assessment, and biomass estimation. Export functions (PNG, CSV, GeoJSON) ensure compatibility with downstream GIS, ecological modeling workflows, and machine-learning pipelines for automated forest monitoring and decision support.
04
GEO-Model for Policy Design
The Land Governance GIS Dashboard serves as an integrated spatial decision-support system designed for provincial- and district-level land management. By leveraging a standardized hexagonal grid, the platform enables high-resolution assessment of land suitability, actual land use, zoning categories (PAZ/ADZ/CAZ/NAZ), and conflict areas within each tambon. The system ingests GeoJSON datasets, dynamically visualizes them on an interactive web map, and applies rule-based analytics and AI-assisted classification to identify mismatches between policy-designated zones and ground realities. Through layered visualization and automated attribute extraction, the dashboard supports multi-criteria evaluation, detection of policy–land use discrepancies, and monitoring of land-use transitions. This GeoAI-enabled environment enhances transparency and evidence-based governance by providing provincial officers with real-time insights for planning, compliance enforcement, and strategic land-resource allocation.
