Nov 15 2024
Seeing the Unseen: Change Detection with Aerial Images
Seeing the Unseen: Change Detection with Aerial Images
What happens when we compare two aerial images taken at different times? We can detect changes in the environment, helping with urban planning, construction monitoring, and more using Object Detection with AI. Let’s explore real-world examples of change detection using aerial imagery through our geospatial analytics platform.
Scenario: We have two aerial images of the same area—one from June 2023 and another from December 2023, analyzed using AI Analytics on GIS data.
Case 1: New Building Construction
- June 2023: The area was a vacant lot.
- December 2023: A new residential building has been constructed.
- Detection: By comparing the two images using Object Detection with AI, our geospatial analytics platform highlights the new building. This helps in monitoring development, tracking unauthorized construction, and planning urban growth.
Case 2: Tree Removal
- June 2023: A cluster of trees was growing along the roadside.
- December 2023: The trees are gone, and the land is cleared.
- Detection: Change detection through AI Analytics on GIS data highlights the removed trees. This is useful for tracking deforestation, monitoring illegal logging, and assessing environmental impact.
Case 3: Construction & Land Modification
- June 2023: A construction site with early excavation work.
- December 2023: Large mounds of earth appear, and some structures are partially built.
- Detection: Object Detection with AI tracks changes in land elevation, identifying excavation, material movement, and construction progress. This is essential for project management and compliance tracking.
Case 4: Stockpile Volume Change
- June 2023: A landfill site has a large garbage stockpile.
- December 2023: The stockpile is significantly reduced.
- Detection: Using volume analysis through our geospatial analytics platform, AI Analytics on GIS data calculates how much material has been added or removed. This is crucial for waste management, stockpile monitoring, and industrial operations.
Why Change Detection Matters
Object Detection with AI powered change detection has applications in multiple fields:
- Urban Planning – Tracking new buildings, roads, and land use using AI Analytics on GIS data.
- Environmental Monitoring – Detecting deforestation, land degradation, and climate impacts.
- Construction Management – Monitoring progress and identifying changes in excavation and material usage through our geospatial analytics platform.
- Disaster Response – Assessing damage after floods, fires, or earthquakes.
This use case of change detection leverages Object Detection with AI and aerial imagery to track vehicle movement, parking patterns, and traffic congestion over time using our geospatial analytics platform.
- Parking Monitoring: Detects occupancy patterns to optimize parking spaces using AI Analytics on GIS data.
- Illegal or Abandoned Vehicles: Identifies vehicles parked in restricted zones for too long.
- Traffic Congestion: Highlights areas with heavy traffic buildup for better road planning.
- Missing or Stolen Vehicles: Flags sudden disappearances for security monitoring through Object Detection with AI.
AI Analytics on GIS data makes vehicle tracking faster and more efficient, helping improve traffic management, parking, and city planning through our comprehensive geospatial analytics platform.
