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Course Outline

Course Outline


Module 1: Conceptual Leveling and Working Environment in ArcGIS Pro
• Review of fundamental GIS concepts.
• Interface and project structure in ArcGIS Pro.
• Types of spatial data and information sources.
• Best practices for organizing projects.

Module 2: Remote Sensing and Satellite Image Processing
• Fundamentals of remote sensing applied to conservation.
• Types of satellite images and sensors.
• Preprocessing images in ArcGIS Pro.
• Basic corrections and multispectral visualization.
• Spectral indices (NDVI and others) for environmental analysis.
Module 3: Using Artificial Intelligence in ArcGIS Pro for Remote Sensing
• Introduction to AI capabilities in ArcGIS Pro.
• AI-assisted image classification.
• Change detection and spatial pattern identification.
• Use cases applied to environmental monitoring.
• Limitations and best practices when using AI.

Module 4: Spatial Data Management and Geodatabases
• Spatial data models.
• Creating and managing geodatabases.
• Integrity rules and domains.
• Versioning and data quality control.
• Storage and query optimization.


Module 5: Consolidating an Institutional Data Repository
• Structuring geospatial repositories.
• Best practices for institutional data management.
• Metadata and documentation.
• Introduction to ArcGIS Enterprise concepts (conceptual focus).
• Preparing data for collaborative use.


Module 6: Applied Spatial Analysis Workflows
• Advanced geoprocessing in ArcGIS Pro.
• Basic workflow automation.
• Integrating spatial analysis for conservation projects.
• Capstone exercise using environmental data.

Requirements

Requirements
• Basic knowledge of GIS (concepts of layers, projections, and spatial data).
• Basic proficiency in the Windows environment.
• An active ArcGIS Pro license installed on your computer.
• The pre-course leveling session will cover essential concepts to homogenize the group's baseline.

Target Audience
• GIS technicians and analysts.
• Environmental conservation and territorial management professionals.
• Staff involved in geospatial information handling and environmental monitoring.
• Technical teams from NGOs and applied research organizations.

 21 Hours

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