Fragmented data
Satellite, drone, public, and field datasets exist in different formats.
Unified GIS Comparison
Compare river, watershed, land-cover, and pollution source layers in one map.
GIS-based AI analytics for dam and watershed water management
K-AQUAS integrates satellite imagery, drone data, water quality indicators, land cover, and pollution sources into one map workspace to identify risks and prioritize management areas.
13 Land-cover TypesAutomated classification from satellite imagery
AI Pollution DetectionDrone-image based source localization
Priority AreasTOPSIS-based management ranking
Problem & Value
Water management slows down when data is fragmented.
When field measurements, satellite imagery, drone captures, and pollution data are managed separately, teams lose time preparing data instead of making decisions.
Manual review work
Teams spend time organizing files, checking locations, and comparing map layers.
Satellite + Drone Analysis
Review wide-area watersheds and field details together to reduce repetitive checking and file preparation.
Delayed prioritization
It is difficult to decide which areas require immediate management first.
Faster Decision Support
Turn analysis results into inspection plans and management priorities.
Workflow
From data collection to priority management areas
K-AQUAS connects complex water environment datasets into a GIS-based workflow that helps managers understand the next action quickly.
Data Collection
Collect satellite, drone, public, and field datasets.
GIS Layering
Organize watersheds, rivers, land cover, and pollution sources as map layers.
AI Analysis
Analyze risks through land-cover classification and pollution source detection.
Priority Decision
Use TOPSIS-based evaluation to identify priority areas and next actions.
Capabilities
Core analytical modules in K-AQUAS
The workflow above shows the decision path. The modules below explain the specific analytical functions K-AQUAS performs inside that flow.
Land-cover classification
Classify land-use conditions from satellite imagery and monitor pollution-related land change.
Pollution source detection
Review detected objects together with location, area, and volume information from drone capture results.
Priority-area evaluation
Review candidate priority zones together with detailed indicators to support ranking decisions.
Integrated GIS layer review
Compare land cover, facilities, pollution signals, and operational layers in one GIS workspace.
Use Cases
Where K-AQUAS fits in practice
This section shows the kinds of teams and operational work K-AQUAS is best suited for beyond the platform features themselves.
Dam and watershed management teams
Review land cover, pollution sources, and priority areas together to organize which upstream zones need attention first.
Local environmental departments
Compare high-risk zones and field inspection targets on a GIS map before sending teams into the field.
Survey, consulting, and reporting teams
Bring water-quality, land-cover, and pollution data into one workspace to support analysis and reporting workflows.
Turn water environment data into operational map intelligence.
Use the demo to review the data layers, pollution analysis, and priority management workflow.