Revisar los MDE. Modelos digitales de Elevación.

Agil Akbar Fahrezi

Hi,

Creating suitability maps for land cover prediction using CA-Markov in Terrset 2020 involves several steps. These maps incorporate various factors such as elevation and slope to predict future land cover changes. Here's a step-by-step guide to help you create suitability maps using the Multi-Criteria Evaluation (MCE) module in Terrset:

Step 1: Prepare Your Data

Step 2: Create Factors

Factors are the continuous criteria that influence the suitability of land for different uses. Common factors include elevation and slope.

Step 3: Normalize Factors

Factors need to be standardized to a common scale, typically 0 to 255, representing suitability from least to most suitable.

Step 4: Weight the Factors

Determine the importance of each factor using methods like the Analytical Hierarchy Process (AHP).

Step 5: Create Constraints

Constraints are Boolean criteria that define areas unsuitable for any land cover type (e.g., water bodies).

Step 6: Multi-Criteria Evaluation (MCE)

Combine the standardized and weighted factors and constraints to create the suitability maps.

Step 7: Use Land Cover Data

Integrate your initial land cover data into the MCE process to ensure that the suitability maps reflect current land cover patterns.

Incorporating Land Cover Data

If you have specific land cover data, you may need to use it as a base map or as part of your constraints. For example, you can exclude urban areas from suitability for agriculture.

Tips:

• Consult Documentation: The Terrset documentation and tutorials can provide additional details and examples specific to the version you are using.
• Practice: Try running simple examples to understand how each step works before applying it to your specific case.

Example Workflow in Terrset

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