Develop Signal Maps by Comparing AHN3 and AHN4 Data

[DonZandbergen]

Description

A reliable signal map to detect whether streets have been elevated or buildings have subsided can be created by subtracting AHN3 from AHN4. These two datasets are comparable and the result can provide insights into negative adhesion and building settlement.

The result of this model will be the signal map for subsidence.

Additionally, this analysis provides input for the models:

• Negative adhesion
• Building settlement (AHN)

Actions

1. Data Preparation

   • Acquire and prepare AHN3 and AHN4 datasets for comparison.

2. Model Development

   • Develop a model to subtract AHN3 from AHN4 and generate the signal map for subsidence.

3. Generate Signal Map

   • Produce the signal map that highlights areas of elevation or subsidence by comparing AHN3 and AHN4.

4. Integration with Existing Models

   • Incorporate the results of this analysis into the models for:
     • Negative adhesion
     • Building settlement (AHN)

5. Documentation Updates

   • Update the documentation to explain the methodology and results of the signal map and how it integrates with existing models.

6. Testing and Validation

   • Test the accuracy and functionality of the signal map.
   • Validate that the signal map provides reliable insights into street elevation and building subsidence.

7. Deployment

   • Deploy the signal map and integrate it with the models for negative adhesion and building settlement in the production environment.

Expected Behavior

• The signal map for subsidence should accurately highlight areas of street elevation or building subsidence.
• The results should provide valuable input for the models of negative adhesion and building settlement (AHN).

Additional Information

• Ensure the AHN3 and AHN4 datasets are accurately aligned and comparable.
• Update the documentation to clearly explain the methodology and the results.