One Unified Workspace for Land-Use Monitoring
Satellite imagery
Vegetation indices
Land-cover baselines
Protected and concession boundaries
All aligned in a shared environment to track forest cover and land-use change over time.
GeoVista enables:
- Integrated analysis across multi-temporal satellite data
- AI workflows applied to land-cover and change detection
- Clear, auditable outputs for monitoring and compliance
How It Works
Establish baselines
Create an accurate baseline of forest cover and land use for the selected region.
Continuous monitoring
Automatically ingest new satellite imagery at regular intervals.
AI change detection
Identify deforestation, reforestation, and land-use transitions using AI-based classification.
Review and report
Visualize change maps and generate audit-ready outputs for compliance and decision-making.
Use cases
From local monitoring to regional oversight
Deforestation Detection
Identify new forest loss as it occurs
Reforestation Tracking
Monitor recovery and afforestation progress over time
Land-Use Change Analysis
Detect transitions between forest, agriculture, and built-up areas
Protected Area Monitoring
Track activity within conservation and restricted zones
Supply-Chain Compliance
Support zero-deforestation and ESG commitments
Regional Forest Assessment
Analyze forest cover trends at district or national scale
Clear, Actionable Outputs
Everything you need to move from detection to action
- Version-controlled models
- Full audit trails
- Access-governed outputs
- Field validation support
Change Detection Maps
Visualize forest loss and gain across regions
Alerted Change Zones
Areas flagged for recent deforestation or recovery
Quantified Impact Metrics
Area, rate, and trend of land-cover change
Historical Comparisons
Track change across months and years
Compliance-Ready Reports
Documentation for ESG and regulatory needs
Why GeoVista AI
Designed for land-change monitoring at scale
Interpretable Change Signals
Stress insights agronomists can review and trust
Multi-Temporal Analysis
Imagery, weather, and field data analyzed together
Boundary-Aware Monitoring
Analyze activity within protected areas and concessions
High-Resolution Insight
Detect fine-scale change across large territories
Scalable Operations
Monitor local zones or national-scale forests consistently
Enterprise-Ready Platform
Access-controlled outputs with full auditability
Choose Your Deployment Option
On-premises Deployment
Total control. No data leaves your network
Cloud Deployment
Geographic distribution for global operations
Built on Trust. Backed by Global Standards.
Monitor Land-Use Change with Confidence
GeoVista AI helps organizations detect forest cover change early, track land-use transitions, and support compliance with auditable, data-backed insights.
Frequently Asked Questions
This product is co-engineer & powered by Kalpa and HestaBit.
GeoVista AI analyzes multi-temporal satellite imagery using vegetation indices such as NDVI and AI-based classification models to identify deforestation, reforestation, and land-use transitions over time.
GeoVista can detect deforestation, reforestation, afforestation, forest degradation, and transitions between forest, agriculture, water bodies, and built-up areas.
Yes. GeoVista is built to monitor large-scale and remote regions consistently using satellite imagery, making it suitable for regional, national, and cross-border forest monitoring
Update frequency depends on satellite availability and monitoring setup. GeoVista can ingest new imagery at regular intervals to support continuous or periodic monitoring.
Yes. GeoVista provides auditable, data-backed outputs and compliance-ready reports to support ESG initiatives, zero-deforestation commitments, and regulatory requirements.
GeoVista supports both on-premises and cloud deployments, allowing organizations to meet data security, governance, and operational needs.
See what your data can show you with GeoVista
Load your datasets, run your first workflow, and get prospectivity results you can review today.