Cropland: Refugee LCLUC North Uganda 2022

[cnakalembe]

• [x] Labeling projects created and links added below
• [x] Set 1 Labeling: Gedeon, Manthan, Bhanu, Taryn, Isha, Ivan, Abena, Adebowale
• [x] Set 2 Labeling: Sheila, Snehal, Aninda, Diana, Aditya, Mirali, Alana
• [x] Data added to repository
• [x] Intercomparison analysis
• [x] Model trained
• [x] Map made
• [ ] Expert check

[hannah-rae]

@MsPixels will confirm details with @cnakalembe and break out into individual issues

[cnakalembe]

We have to do annual-- something worth exploring later which is outside the current scope is looking at rapid changes (month to month) when new settlements are established

[MsPixels]

New CEO Institution created for this project @cnakalembe

[MsPixels]

CEO Labeling update: 53.6% analyzed for Set 1 and 50.70% completed for Set 2

[MsPixels]

@hannah-rae, CEO Labeling Update: 61.10% for Set A and 51.70% for Set B

[MsPixels]

@hannah-rae, CEO Labeling Update: 902 (90.20%) for Set A and 673 (67.30%) for Set B

[MsPixels]

Intercomparison analysis for Uganda North @cnakalembe

[MsPixels]

Uganda North Trained model @cnakalembe :

"Uganda_North_2022_V1": { "params": "https://wandb.ai/nasa-harvest/crop-mask/runs/v5f8m489", "test_metrics": { "accuracy": 0.8018, "f1_score": 0.6457, "precision_score": 0.5775, "recall_score": 0.7321, "roc_auc_score": 0.8606 }, "val_metrics": { "accuracy": 0.7982, "f1_score": 0.6667, "precision_score": 0.6571, "recall_score": 0.6765, "roc_auc_score": 0.8647 }

Cropland Map V1

[MsPixels]

After adding corrective labels, here is the metrics @cnakalembe:

"Uganda_North_2022_V2": { "params": "https://wandb.ai/nasa-harvest/crop-mask/runs/0ngyleht", "test_metrics": { "accuracy": 0.6388, "f1_score": 0.5341, "precision_score": 0.3917, "recall_score": 0.8393, "roc_auc_score": 0.8004 }, "val_metrics": { "accuracy": 0.6886, "f1_score": 0.6321, "precision_score": 0.488, "recall_score": 0.8971, "roc_auc_score": 0.8259 } },

[MsPixels]

Corrective Labeling App