Natural forest regeneration is projected to reduce local temperatures
<h3>Description of the data and file structure</h3> <p>This repository contains the data related to <strong>Figure 1</strong> and <strong>Figure 2</strong> from the article titled:<br><strong>"Natural Forest Regeneration is Projected to Reduce Local Temperatures"</strong>.</p> <p><strong>Update:</strong><br>All raw data produced in this study will be made available in an upcoming update.</p> <p>For further information or access to the data, please contact:<br><strong>Sara Alibakhshi</strong><br>Email: sara.alibakhshi@gmail.com</p> <h3>Code/software</h3> <p>All code and functions used in this study were executed using the built-in functions and APIs provided by Google Earth Engine (GEE). The random forest model used in this study can be found <a href="https://developers.google.com/earth-engine/apidocs/ee-classifier-smilerandomforest" target="_blank" rel="noopener">here(opens in new window)</a>.</p> <p> </p> <p>***This research was supported by the Finnish Research Impact Foundation.***</p>
ShareScore
32/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0