Examples and Tutorials
======================

Comprehensive collection of Google Earth Engine examples from basic concepts to advanced applications.

.. toctree::
   :maxdepth: 2
   :caption: Example Categories:

   basic/index
   intermediate/index
   advanced/index

Learning Path
-------------

Our examples are organized into three progressive levels:

**🟢 Basic Examples**
  Perfect for beginners and those new to Earth Engine
  
  * Simple image loading and display
  * Basic calculations and operations
  * Understanding Earth Engine data structures
  * Introduction to visualization

**🟡 Intermediate Examples**
  For users comfortable with basics who want to expand their skills
  
  * Time series analysis
  * Image collection filtering and processing
  * Vector data operations
  * Multi-temporal analysis

**🔴 Advanced Examples**
  Complex workflows for experienced users
  
  * Machine learning applications
  * Large-scale batch processing
  * Custom algorithm development
  * Production-ready applications

Example Categories Overview
---------------------------

**Data Access and Visualization**
  * Loading different data types (optical, radar, climate)
  * Creating interactive maps and visualizations
  * Exporting data for external use

**Image Processing**
  * Spectral index calculations (NDVI, NDWI, etc.)
  * Image compositing and mosaicking
  * Cloud masking and atmospheric correction

**Time Series Analysis**
  * Temporal data exploration
  * Trend analysis and change detection
  * Seasonal pattern analysis

**Geospatial Analysis**
  * Vector operations and spatial joins
  * Zonal statistics and summaries
  * Distance and proximity analysis

**Machine Learning**
  * Classification algorithms
  * Regression modeling
  * Feature extraction and selection

**Climate and Environmental Applications**
  * Precipitation and temperature analysis
  * Drought monitoring
  * Land cover change detection

Prerequisites
-------------

**Technical Requirements**
  * Authenticated Google Earth Engine account
  * Python 3.7+ with required packages
  * Basic programming knowledge
  * Understanding of geospatial concepts

**Recommended Setup**
  * Jupyter Notebook or Google Colab
  * Git for downloading example code
  * Text editor or IDE for development

**Knowledge Prerequisites**
  * Basic Python programming
  * Understanding of remote sensing concepts
  * Familiarity with geospatial data formats
  * Basic statistics and data analysis

Using the Examples
------------------

**Running Examples Locally**

.. code-block:: bash

   # Clone the repository
   git clone https://github.com/yourusername/gee-documentation
   cd gee-documentation
   
   # Install requirements
   pip install -r requirements.txt
   
   # Run an example
   python examples/basic/01_hello_world.py

**Using in Google Colab**

.. code-block:: python

   # In a Colab cell
   !git clone https://github.com/yourusername/gee-documentation
   %cd gee-documentation
   
   # Run authentication
   import ee
   ee.Authenticate()
   ee.Initialize(project='your-project-id')
   
   # Execute example
   exec(open('examples/basic/01_hello_world.py').read())

**Jupyter Notebook Integration**

.. code-block:: python

   # Copy example code into notebook cells
   # Modify parameters as needed
   # Add your own analysis and visualization

Example Data and Assets
-----------------------

Our examples use a variety of datasets:

**Satellite Imagery**
  * Landsat Collection 2
  * Sentinel-1 and Sentinel-2
  * MODIS products
  * Commercial imagery

**Climate Data**
  * ERA5 reanalysis
  * CHIRPS precipitation
  * Temperature datasets
  * Weather station data

**Geophysical Data**
  * Digital elevation models
  * Soil properties
  * Geological maps
  * Hydrography

**Vector Data**
  * Administrative boundaries
  * Protected areas
  * Urban features
  * Transportation networks

Code Structure and Style
------------------------

All examples follow consistent patterns:

**Standard Template**

.. code-block:: python

   """
   Example Title
   =============
   
   Brief description of what this example demonstrates.
   
   Key concepts:
   - Concept 1
   - Concept 2
   - Concept 3
   
   Prerequisites:
   - Requirement 1
   - Requirement 2
   """
   
   import ee
   import other_required_packages
   
   def main():
       """Main function containing the example logic."""
       
       # Initialize Earth Engine
       ee.Initialize(project='your-project-id')
       
       # Example code here
       
       print("✅ Example completed successfully!")
   
   if __name__ == "__main__":
       main()

**Error Handling**

.. code-block:: python

   try:
       ee.Initialize(project='your-project-id')
       print("✓ Earth Engine initialized")
   except Exception as e:
       print(f"✗ Initialization failed: {e}")
       return

**Documentation Standards**

* Clear docstrings for all functions
* Inline comments explaining complex operations
* Variable names that describe their purpose
* Step-by-step explanations of the workflow

Contributing Examples
---------------------

We welcome contributions! Guidelines for adding examples:

**Example Quality Standards**
  * Working, tested code
  * Clear documentation
  * Follows established patterns
  * Includes error handling

**Documentation Requirements**
  * Purpose and learning objectives
  * Prerequisites and dependencies
  * Step-by-step explanation
  * Expected outputs

**Submission Process**
  1. Fork the repository
  2. Create feature branch
  3. Add your example with documentation
  4. Test thoroughly
  5. Submit pull request

Common Patterns and Utilities
-----------------------------

**Authentication Wrapper**

.. code-block:: python

   def ensure_ee_initialized(project_id):
       """Ensure Earth Engine is initialized."""
       try:
           ee.Initialize(project=project_id)
           return True
       except:
           try:
               ee.Authenticate()
               ee.Initialize(project=project_id)
               return True
           except Exception as e:
               print(f"Authentication failed: {e}")
               return False

**Progress Tracking**

.. code-block:: python

   def track_progress(current, total, operation="Processing"):
       """Display progress for long operations."""
       percent = (current / total) * 100
       print(f"\r{operation}: {current}/{total} ({percent:.1f}%)", end="")

**Result Validation**

.. code-block:: python

   def validate_result(result, expected_type=None):
       """Validate Earth Engine computation results."""
       try:
           if result is None:
               return False, "Result is None"
           
           info = result.getInfo() if hasattr(result, 'getInfo') else result
           
           if expected_type and not isinstance(info, expected_type):
               return False, f"Expected {expected_type}, got {type(info)}"
           
           return True, "Validation passed"
       except Exception as e:
           return False, f"Validation error: {e}"

Next Steps
----------

Choose your learning path:

**Beginners**: Start with :doc:`basic/index`
  * Learn fundamental concepts
  * Practice basic operations
  * Build confidence with simple examples

**Intermediate Users**: Explore :doc:`intermediate/index`
  * Apply concepts to real problems
  * Learn advanced data processing
  * Develop analytical skills

**Advanced Users**: Dive into :doc:`advanced/index`
  * Implement complex workflows
  * Optimize performance
  * Create production applications

**All Users**: Reference :doc:`../api-reference/index`
  * Look up specific functions
  * Understand parameters and options
  * Find implementation details

.. note::
   Examples are designed to be modular. You can mix and match concepts from different examples to solve your specific problems.

.. tip::
   Start with examples similar to your use case, then gradually explore other applications to broaden your Earth Engine skills.

.. warning::
   Some examples may require significant computation time or have usage quota implications. Start with small test areas before scaling up.