# Forest Disturbance Detection on MTBS 1985–2022 (val)

Source: [Forest Disturbance Detection on MTBS 1985–2022 (val)](<https://www.sota2.com/research/sota/forest-disturbance-detection-on-mtbs-1985-2022-val>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-06-08T07:44:09.993Z

Evaluation of Forest Disturbance Detection performance on the validation split of the MTBS 1985–2022 dataset, reporting F1, Recall, and Precision metrics.

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

| Scope | Recorded value |
| --- | --- |
| Task | Forest Disturbance Detection |
| Dataset (including any stated split) | MTBS 1985–2022 (val) |
| Metric | F1 Score |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 4 of 4 |
| Coverage | All results currently returned for this benchmark |

Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol.

## Metrics

- [F1 Score](<https://www.sota2.com/research/sota/forest-disturbance-detection-on-mtbs-1985-2022-val.md?metric=F1%20Score>): Higher is better; unit: PERCENT.

- [Recall](<https://www.sota2.com/research/sota/forest-disturbance-detection-on-mtbs-1985-2022-val.md?metric=Recall>): Higher is better; unit: PERCENT.

- [Precision](<https://www.sota2.com/research/sota/forest-disturbance-detection-on-mtbs-1985-2022-val.md?metric=Precision>): Higher is better; unit: PERCENT.

- [Precision (±1y)](<https://www.sota2.com/research/sota/forest-disturbance-detection-on-mtbs-1985-2022-val.md?metric=Precision%20(%C2%B11y)>): Higher is better; unit: PERCENT.

## Recorded results

| Method | F1 Score | Result date | Report paper |
| --- | --- | --- | --- |
| MTSViT | 68 | Not recorded | 6a264ca590966ade919beac3 |
| Qiu | 62.46 | Not recorded | 6a264ca590966ade919beac3 |
| CCDC | 52.65 | Not recorded | 6a264ca590966ade919beac3 |
| MTSViT | 37 | Not recorded | 6a264ca590966ade919beac3 |

### MTSViT

F1 Score: 68. Result ID: 6a2672c6fbc373592c22f38b.

[Reporting paper](<https://www.sota2.com/research/paper/6a264ca590966ade919beac3.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6a264ca590966ade919beac3.md>)

Recorded evaluation configuration: {"Inputs":"Landsat","Training Dataset":"C100k","Years":"1985–2022"}. This record does not assert independent reproduction.

### Qiu

F1 Score: 62.46. Result ID: 6a2672c6fbc373592c22f389.

[Reporting paper](<https://www.sota2.com/research/paper/6a264ca590966ade919beac3.md>)

Recorded evaluation configuration: {"Years":"1985–2022"}. This record does not assert independent reproduction.

### CCDC

F1 Score: 52.65. Result ID: 6a2672c6fbc373592c22f388.

[Reporting paper](<https://www.sota2.com/research/paper/6a264ca590966ade919beac3.md>)

Recorded evaluation configuration: {"Years":"1985–2022"}. This record does not assert independent reproduction.

### MTSViT

F1 Score: 37. Result ID: 6a2672c6fbc373592c22f38a.

[Reporting paper](<https://www.sota2.com/research/paper/6a264ca590966ade919beac3.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6a264ca590966ade919beac3.md>)

Recorded evaluation configuration: {"Inputs":"Landsat","Training Dataset":"P34k","Years":"1985–2022"}. This record does not assert independent reproduction.

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