# First step: Conducting a Mapathon with TeachOSM for Tree Mapping

First step is to conduct a Mapathon using TeachOSM to create a task focused on tree mapping in the given area. The Mapathon will involve volunteers adding visible tree features from satellite imagery, while the field mapping using MapComplete will follow as a second step to complete attributes such as type of leaves, tree species height, and more. This two-step approach ensures that the map data is comprehensive and accurate.

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**Process of the First step of the Exercise** :

* **Task Creation:** Create a new task on TeachOSM focused on tree mapping in the selected area. Define the boundaries of the mapping area, set the task's objective, and provide clear instructions for participants on how to identify and map trees using satellite imagery.
* **Training and Preparation**: Provide participants with training on how to use the TeachOSM platform and its tools to add tree features to OpenStreetMap. Ensure that volunteers are familiar with the mapping process and the specific requirements of the tree mapping task.
* **Conduct the Mapathon:** Organize a Mapathon event, either in-person or virtual, where volunteers can work together to map tree features within the selected area. Encourage participants to communicate and collaborate throughout the event to ensure the best possible results.
* **Data Validation:** Review the mapped data from the Mapathon to ensure its accuracy and completeness. Make any necessary corrections or additions before proceeding with the field mapping using MapComplete.
* Ready for Field Mapping
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By combining a Mapathon using TeachOSM with field mapping using MapComplete, you can create a detailed and accurate map of tree distribution in a given area, helping to better understand their role in mitigating climate risks and informing urban planning and climate adaptation strategies.



<figure><img src="https://1061247480-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F4H5JA4Pb8ECw6fEDiJrD%2Fuploads%2FS0RYCO3qXL27uHS4Xw7z%2Fimage.png?alt=media&#x26;token=209dfcb1-7c12-44cf-8e1d-a0f5858b66c4" alt=""><figcaption><p><strong>Fig 3:</strong> Project description</p></figcaption></figure>

<figure><img src="https://1061247480-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F4H5JA4Pb8ECw6fEDiJrD%2Fuploads%2FW6tsVBhNoSk8u1wGp9fa%2Fimage.png?alt=media&#x26;token=f97b5cfb-7b34-4098-81b5-bed6b21b1a4a" alt=""><figcaption><p><strong>Fig 4:</strong> Editing</p></figcaption></figure>

<figure><img src="https://1061247480-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F4H5JA4Pb8ECw6fEDiJrD%2Fuploads%2FC2lsBcjS5CRRREhEyAJE%2Fimage.png?alt=media&#x26;token=e5749ba3-e78c-4609-8481-2c691116acc2" alt=""><figcaption><p><strong>Fig 5:</strong> Real-time objects</p></figcaption></figure>
