deadtrees.earth: Aerial Images for Tree and Mortality Detection at Multiple Resolutions

deadtrees.earth is a multi-resolution aerial image dataset for tree and mortality detection, hosted on Harvard Dataverse. The dataset was authored by Ayushi Sharma and was last updated on April 28, 2026. Its specific scale, geographic coverage, and collection method are not detailed in the provided metadata.

Use Cases

• Training object detection models to identify individual trees based on aerial imagery.
• Developing classification models to detect tree mortality or health status from aerial images.
• Benchmarking multi-resolution image analysis techniques for remote sensing applications.
• Conducting research on forest canopy change and disturbance using aerial data.

Strengths

• Dataset is focused on a specific, applied computer vision task: tree and mortality detection.
• The title indicates the dataset contains imagery at multiple resolutions, which could support model robustness testing.
• It is hosted on Harvard Dataverse, a reputable academic data repository.
• The record was updated in 2026, suggesting recent maintenance.

Limitations

• Description metadata is limited; actual data quality, size, and format require manual inspection after download.
• Column-level documentation is absent; field semantics and annotation details must be inferred after download.
• Row count and geographic coverage are unknown, which may limit suitability assessment for specific projects.

Provenance

Source

Harvard Dataverse

Collection Method

Aerial imagery collection, likely via drone or aircraft.

Time Range

null

Freshness

Last updated 2026-04-28 15:01:58; freshness should be verified.

Geography

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