[System] You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized to 0-1 relative to image dimensions. This is optical-only observation. Avoid certainty claims beyond visible evidence, and state confidence and limitations where appropriate.

[User] These two Sentinel-2 images show the same area at two times (2023-07-23 and 2023-07-23). Identify wildfire damage or burn-scar changes.

[Assistant] No clear burn-scar regions are detected above threshold in this optical comparison. Confidence is low for subtle fire effects.


[System] You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized to 0-1 relative to image dimensions. This is optical-only observation. Avoid certainty claims beyond visible evidence, and state confidence and limitations where appropriate.

[User] These two Sentinel-2 images show the same area at two times (2023-07-23 and 2023-07-23). Identify wildfire damage or burn-scar changes.

[Assistant] No clear burn-scar regions are detected above threshold in this optical comparison. Confidence is low for subtle fire effects.


[System] You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized to 0-1 relative to image dimensions. This is optical-only observation. Avoid certainty claims beyond visible evidence, and state confidence and limitations where appropriate.

[User] These two Sentinel-2 images show the same area at two times (2023-07-23 and 2023-07-23). Identify wildfire damage or burn-scar changes.

[Assistant] No clear burn-scar regions are detected above threshold in this optical comparison. Confidence is low for subtle fire effects.


[System] You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized to 0-1 relative to image dimensions. This is optical-only observation. Avoid certainty claims beyond visible evidence, and state confidence and limitations where appropriate.

[User] These two Sentinel-2 images show the same area at two times (2023-07-23 and 2023-07-23). Identify wildfire damage or burn-scar changes.

[Assistant] No clear burn-scar regions are detected above threshold in this optical comparison. Confidence is low for subtle fire effects.


[System] You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized to 0-1 relative to image dimensions. This is optical-only observation. Avoid certainty claims beyond visible evidence, and state confidence and limitations where appropriate.

[User] These two Sentinel-2 images show the same area at two times (2023-07-23 and 2023-07-23). Identify wildfire damage or burn-scar changes.

[Assistant] No clear burn-scar regions are detected above threshold in this optical comparison. Confidence is low for subtle fire effects.


[System] You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized to 0-1 relative to image dimensions. This is optical-only observation. Avoid certainty claims beyond visible evidence, and state confidence and limitations where appropriate.

[User] These two Sentinel-2 images show the same area at two times (2023-07-23 and 2023-07-23). Identify wildfire damage or burn-scar changes.

[Assistant] No clear burn-scar regions are detected above threshold in this optical comparison. Confidence is low for subtle fire effects.


[System] You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized to 0-1 relative to image dimensions. This is optical-only observation. Avoid certainty claims beyond visible evidence, and state confidence and limitations where appropriate.

[User] These two Sentinel-2 images show the same area at two times (2023-07-23 and 2023-07-23). Identify wildfire damage or burn-scar changes.

[Assistant] No clear burn-scar regions are detected above threshold in this optical comparison. Confidence is low for subtle fire effects.


[System] You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized to 0-1 relative to image dimensions. This is optical-only observation. Avoid certainty claims beyond visible evidence, and state confidence and limitations where appropriate.

[User] These two Sentinel-2 images show the same area at two times (2023-07-23 and 2023-07-23). Identify wildfire damage or burn-scar changes.

[Assistant] No clear burn-scar regions are detected above threshold in this optical comparison. Confidence is low for subtle fire effects.


[System] You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized to 0-1 relative to image dimensions. This is optical-only observation. Avoid certainty claims beyond visible evidence, and state confidence and limitations where appropriate.

[User] These two Sentinel-2 images show the same area at two times (2023-07-23 and 2023-07-23). Identify wildfire damage or burn-scar changes.

[Assistant] No clear burn-scar regions are detected above threshold in this optical comparison. Confidence is low for subtle fire effects.


[System] You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized to 0-1 relative to image dimensions. This is optical-only observation. Avoid certainty claims beyond visible evidence, and state confidence and limitations where appropriate.

[User] These two Sentinel-2 images show the same area at two times (2023-07-23 and 2023-07-23). Identify wildfire damage or burn-scar changes.

[Assistant] No clear burn-scar regions are detected above threshold in this optical comparison. Confidence is low for subtle fire effects.


[System] You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized to 0-1 relative to image dimensions. This is optical-only observation. Avoid certainty claims beyond visible evidence, and state confidence and limitations where appropriate.

[User] These two Sentinel-2 images show the same area at two times (2023-07-23 and 2023-07-23). Identify wildfire damage or burn-scar changes.

[Assistant] No clear burn-scar regions are detected above threshold in this optical comparison. Confidence is low for subtle fire effects.


[System] You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized to 0-1 relative to image dimensions. This is optical-only observation. Avoid certainty claims beyond visible evidence, and state confidence and limitations where appropriate.

[User] These two Sentinel-2 images show the same area at two times (2023-07-23 and 2023-07-23). Identify wildfire damage or burn-scar changes.

[Assistant] No clear burn-scar regions are detected above threshold in this optical comparison. Confidence is low for subtle fire effects.


[System] You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized to 0-1 relative to image dimensions. This is optical-only observation. Avoid certainty claims beyond visible evidence, and state confidence and limitations where appropriate.

[User] These two Sentinel-2 images show the same area at two times (2023-07-23 and 2023-07-23). Identify wildfire damage or burn-scar changes.

[Assistant] No clear burn-scar regions are detected above threshold in this optical comparison. Confidence is low for subtle fire effects.


[System] You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized to 0-1 relative to image dimensions. This is optical-only observation. Avoid certainty claims beyond visible evidence, and state confidence and limitations where appropriate.

[User] These two Sentinel-2 images show the same area at two times (2023-07-23 and 2023-07-23). Identify wildfire damage or burn-scar changes.

[Assistant] No clear burn-scar regions are detected above threshold in this optical comparison. Confidence is low for subtle fire effects.


[System] You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized to 0-1 relative to image dimensions. This is optical-only observation. Avoid certainty claims beyond visible evidence, and state confidence and limitations where appropriate.

[User] These two Sentinel-2 images show the same area at two times (2023-07-23 and 2023-07-23). Identify wildfire damage or burn-scar changes.

[Assistant] No clear burn-scar regions are detected above threshold in this optical comparison. Confidence is low for subtle fire effects.


[System] You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized to 0-1 relative to image dimensions. This is optical-only observation. Avoid certainty claims beyond visible evidence, and state confidence and limitations where appropriate.

[User] These two Sentinel-2 images show the same area at two times (2023-07-23 and 2023-07-23). Identify wildfire damage or burn-scar changes.

[Assistant] No clear burn-scar regions are detected above threshold in this optical comparison. Confidence is low for subtle fire effects.


[System] You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized to 0-1 relative to image dimensions. This is optical-only observation. Avoid certainty claims beyond visible evidence, and state confidence and limitations where appropriate.

[User] These two Sentinel-2 images show the same area at two times (2023-05-28 and 2023-06-22). Identify wildfire damage or burn-scar changes.

[Assistant] The pair suggests fire-related change in 7 region(s), covering about 17.1% of the tile. The largest region spans roughly 7646 pixels. This is optical-only evidence and may be affected by clouds, haze, and seasonal effects.


[System] You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized to 0-1 relative to image dimensions. This is optical-only observation. Avoid certainty claims beyond visible evidence, and state confidence and limitations where appropriate.

[User] Locate burn-scar and fire-affected regions visible in the post-event image. Return JSON list with labels and normalized bboxes.

[Assistant] [{"label": "burn_scar", "bbox": [0.058, 0.5893, 0.9955, 0.9955]}, {"label": "burn_scar", "bbox": [0.375, 0.6339, 0.4643, 0.75]}, {"label": "burn_scar", "bbox": [0.1607, 0.9152, 0.2589, 0.9955]}, {"label": "burn_scar", "bbox": [0.7679, 0.5045, 0.8304, 0.5714]}, {"label": "burn_scar", "bbox": [0.7946, 0.9196, 0.8661, 0.9509]}, {"label": "burn_scar", "bbox": [0.7009, 0.567, 0.75, 0.6027]}, {"label": "burn_scar", "bbox": [0.7411, 0.9509, 0.7812, 0.9821]}]


[System] You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized to 0-1 relative to image dimensions. This is optical-only observation. Avoid certainty claims beyond visible evidence, and state confidence and limitations where appropriate.

[User] These two Sentinel-2 images show the same area at two times (2023-05-28 and 2023-06-22). Identify wildfire damage or burn-scar changes.

[Assistant] The pair suggests fire-related change in 7 region(s), covering about 20.0% of the tile. The largest region spans roughly 9268 pixels. This is optical-only evidence and may be affected by clouds, haze, and seasonal effects.


[System] You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized to 0-1 relative to image dimensions. This is optical-only observation. Avoid certainty claims beyond visible evidence, and state confidence and limitations where appropriate.

[User] Locate burn-scar and fire-affected regions visible in the post-event image. Return JSON list with labels and normalized bboxes.

[Assistant] [{"label": "burn_scar", "bbox": [0.0, 0.5312, 0.9955, 0.9955]}, {"label": "burn_scar", "bbox": [0.125, 0.6295, 0.2143, 0.75]}, {"label": "burn_scar", "bbox": [0.5179, 0.5045, 0.5804, 0.5714]}, {"label": "burn_scar", "bbox": [0.5446, 0.9196, 0.6161, 0.9509]}, {"label": "burn_scar", "bbox": [0.4509, 0.567, 0.5, 0.6027]}, {"label": "burn_scar", "bbox": [0.4911, 0.9509, 0.5312, 0.9821]}, {"label": "burn_scar", "bbox": [0.9062, 0.5223, 0.9196, 0.558]}]


[System] You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized to 0-1 relative to image dimensions. This is optical-only observation. Avoid certainty claims beyond visible evidence, and state confidence and limitations where appropriate.

[User] These two Sentinel-2 images show the same area at two times (2023-05-28 and 2023-06-22). Identify wildfire damage or burn-scar changes.

[Assistant] The pair suggests fire-related change in 10 region(s), covering about 17.8% of the tile. The largest region spans roughly 8313 pixels. This is optical-only evidence and may be affected by clouds, haze, and seasonal effects.


[System] You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized to 0-1 relative to image dimensions. This is optical-only observation. Avoid certainty claims beyond visible evidence, and state confidence and limitations where appropriate.

[User] Locate burn-scar and fire-affected regions visible in the post-event image. Return JSON list with labels and normalized bboxes.

[Assistant] [{"label": "burn_scar", "bbox": [0.0, 0.5312, 0.8795, 0.9955]}, {"label": "burn_scar", "bbox": [0.2634, 0.5045, 0.3304, 0.5714]}, {"label": "burn_scar", "bbox": [0.8036, 0.8304, 0.8571, 0.8929]}, {"label": "burn_scar", "bbox": [0.2009, 0.567, 0.25, 0.6027]}, {"label": "burn_scar", "bbox": [0.2946, 0.9196, 0.3661, 0.9509]}, {"label": "burn_scar", "bbox": [0.7321, 0.8527, 0.7545, 0.8929]}, {"label": "burn_scar", "bbox": [0.2411, 0.9509, 0.2812, 0.9821]}, {"label": "burn_scar", "bbox": [0.7545, 0.5446, 0.7812, 0.5759]}, {"label": "burn_scar", "bbox": [0.6562, 0.5223, 0.6696, 0.558]}, {"label": "burn_scar", "bbox": [0.7902, 0.8795, 0.808, 0.9152]}]


[System] You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized to 0-1 relative to image dimensions. This is optical-only observation. Avoid certainty claims beyond visible evidence, and state confidence and limitations where appropriate.

[User] These two Sentinel-2 images show the same area at two times (2023-05-28 and 2023-06-22). Identify wildfire damage or burn-scar changes.

[Assistant] The pair suggests fire-related change in 8 region(s), covering about 12.0% of the tile. The largest region spans roughly 5510 pixels. This is optical-only evidence and may be affected by clouds, haze, and seasonal effects.


[System] You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized to 0-1 relative to image dimensions. This is optical-only observation. Avoid certainty claims beyond visible evidence, and state confidence and limitations where appropriate.

[User] Locate burn-scar and fire-affected regions visible in the post-event image. Return JSON list with labels and normalized bboxes.

[Assistant] [{"label": "burn_scar", "bbox": [0.0, 0.5312, 0.6295, 0.9464]}, {"label": "burn_scar", "bbox": [0.0179, 0.5045, 0.0804, 0.5714]}, {"label": "burn_scar", "bbox": [0.5536, 0.8304, 0.6071, 0.8929]}, {"label": "burn_scar", "bbox": [0.0446, 0.9196, 0.1161, 0.9509]}, {"label": "burn_scar", "bbox": [0.4821, 0.8527, 0.5045, 0.8929]}, {"label": "burn_scar", "bbox": [0.5045, 0.5446, 0.5312, 0.5759]}, {"label": "burn_scar", "bbox": [0.4062, 0.5223, 0.4196, 0.558]}, {"label": "burn_scar", "bbox": [0.5402, 0.8795, 0.558, 0.9152]}]


[System] You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized to 0-1 relative to image dimensions. This is optical-only observation. Avoid certainty claims beyond visible evidence, and state confidence and limitations where appropriate.

[User] These two Sentinel-2 images show the same area at two times (2023-05-28 and 2023-06-22). Identify wildfire damage or burn-scar changes.

[Assistant] The pair suggests fire-related change in 10 region(s), covering about 17.8% of the tile. The largest region spans roughly 7905 pixels. This is optical-only evidence and may be affected by clouds, haze, and seasonal effects.


[System] You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized to 0-1 relative to image dimensions. This is optical-only observation. Avoid certainty claims beyond visible evidence, and state confidence and limitations where appropriate.

[User] Locate burn-scar and fire-affected regions visible in the post-event image. Return JSON list with labels and normalized bboxes.

[Assistant] [{"label": "burn_scar", "bbox": [0.058, 0.3393, 0.9955, 0.7946]}, {"label": "burn_scar", "bbox": [0.375, 0.3839, 0.4643, 0.5]}, {"label": "burn_scar", "bbox": [0.1607, 0.6652, 0.2589, 0.7455]}, {"label": "burn_scar", "bbox": [0.7679, 0.2545, 0.8304, 0.3214]}, {"label": "burn_scar", "bbox": [0.7946, 0.6696, 0.8661, 0.7009]}, {"label": "burn_scar", "bbox": [0.3393, 0.7366, 0.3795, 0.7812]}, {"label": "burn_scar", "bbox": [0.7009, 0.317, 0.75, 0.3527]}, {"label": "burn_scar", "bbox": [0.5357, 0.8125, 0.5625, 0.8527]}, {"label": "burn_scar", "bbox": [0.7054, 0.8616, 0.7321, 0.8884]}, {"label": "burn_scar", "bbox": [0.7411, 0.7009, 0.7812, 0.7321]}]


[System] You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized to 0-1 relative to image dimensions. This is optical-only observation. Avoid certainty claims beyond visible evidence, and state confidence and limitations where appropriate.

[User] These two Sentinel-2 images show the same area at two times (2023-05-28 and 2023-06-22). Identify wildfire damage or burn-scar changes.

[Assistant] The pair suggests fire-related change in 10 region(s), covering about 20.8% of the tile. The largest region spans roughly 9528 pixels. This is optical-only evidence and may be affected by clouds, haze, and seasonal effects.


[System] You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized to 0-1 relative to image dimensions. This is optical-only observation. Avoid certainty claims beyond visible evidence, and state confidence and limitations where appropriate.

[User] Locate burn-scar and fire-affected regions visible in the post-event image. Return JSON list with labels and normalized bboxes.

[Assistant] [{"label": "burn_scar", "bbox": [0.0, 0.2812, 0.9955, 0.7946]}, {"label": "burn_scar", "bbox": [0.125, 0.3795, 0.2143, 0.5]}, {"label": "burn_scar", "bbox": [0.5179, 0.2545, 0.5804, 0.3214]}, {"label": "burn_scar", "bbox": [0.5446, 0.6696, 0.6161, 0.7009]}, {"label": "burn_scar", "bbox": [0.0893, 0.7366, 0.1295, 0.7812]}, {"label": "burn_scar", "bbox": [0.4509, 0.317, 0.5, 0.3527]}, {"label": "burn_scar", "bbox": [0.2857, 0.8125, 0.3125, 0.8527]}, {"label": "burn_scar", "bbox": [0.4554, 0.8616, 0.4821, 0.8884]}, {"label": "burn_scar", "bbox": [0.4911, 0.7009, 0.5312, 0.7321]}, {"label": "burn_scar", "bbox": [0.9062, 0.2723, 0.9196, 0.308]}]


[System] You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized to 0-1 relative to image dimensions. This is optical-only observation. Avoid certainty claims beyond visible evidence, and state confidence and limitations where appropriate.

[User] These two Sentinel-2 images show the same area at two times (2023-05-28 and 2023-06-22). Identify wildfire damage or burn-scar changes.

[Assistant] The pair suggests fire-related change in 12 region(s), covering about 18.5% of the tile. The largest region spans roughly 8551 pixels. This is optical-only evidence and may be affected by clouds, haze, and seasonal effects.


[System] You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized to 0-1 relative to image dimensions. This is optical-only observation. Avoid certainty claims beyond visible evidence, and state confidence and limitations where appropriate.

[User] Locate burn-scar and fire-affected regions visible in the post-event image. Return JSON list with labels and normalized bboxes.

[Assistant] [{"label": "burn_scar", "bbox": [0.0, 0.2812, 0.8795, 0.7946]}, {"label": "burn_scar", "bbox": [0.2634, 0.2545, 0.3304, 0.3214]}, {"label": "burn_scar", "bbox": [0.8036, 0.5804, 0.8571, 0.6429]}, {"label": "burn_scar", "bbox": [0.2009, 0.317, 0.25, 0.3527]}, {"label": "burn_scar", "bbox": [0.2946, 0.6696, 0.3661, 0.7009]}, {"label": "burn_scar", "bbox": [0.0357, 0.8125, 0.0625, 0.8527]}, {"label": "burn_scar", "bbox": [0.7321, 0.6027, 0.7545, 0.6429]}, {"label": "burn_scar", "bbox": [0.2411, 0.7009, 0.2812, 0.7321]}, {"label": "burn_scar", "bbox": [0.2054, 0.8616, 0.2277, 0.8884]}, {"label": "burn_scar", "bbox": [0.6562, 0.2723, 0.6696, 0.308]}, {"label": "burn_scar", "bbox": [0.7589, 0.2946, 0.7812, 0.3214]}, {"label": "burn_scar", "bbox": [0.7902, 0.6295, 0.808, 0.6652]}]


[System] You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized to 0-1 relative to image dimensions. This is optical-only observation. Avoid certainty claims beyond visible evidence, and state confidence and limitations where appropriate.

[User] These two Sentinel-2 images show the same area at two times (2023-05-28 and 2023-06-22). Identify wildfire damage or burn-scar changes.

[Assistant] The pair suggests fire-related change in 8 region(s), covering about 12.0% of the tile. The largest region spans roughly 5511 pixels. This is optical-only evidence and may be affected by clouds, haze, and seasonal effects.


[System] You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized to 0-1 relative to image dimensions. This is optical-only observation. Avoid certainty claims beyond visible evidence, and state confidence and limitations where appropriate.

[User] Locate burn-scar and fire-affected regions visible in the post-event image. Return JSON list with labels and normalized bboxes.

[Assistant] [{"label": "burn_scar", "bbox": [0.0, 0.2812, 0.6295, 0.6964]}, {"label": "burn_scar", "bbox": [0.0179, 0.2545, 0.0804, 0.3214]}, {"label": "burn_scar", "bbox": [0.5536, 0.5804, 0.6071, 0.6429]}, {"label": "burn_scar", "bbox": [0.0446, 0.6696, 0.1161, 0.7009]}, {"label": "burn_scar", "bbox": [0.4821, 0.6027, 0.5045, 0.6429]}, {"label": "burn_scar", "bbox": [0.4062, 0.2723, 0.4196, 0.308]}, {"label": "burn_scar", "bbox": [0.5089, 0.2946, 0.5312, 0.3214]}, {"label": "burn_scar", "bbox": [0.5402, 0.6295, 0.558, 0.6652]}]


[System] You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized to 0-1 relative to image dimensions. This is optical-only observation. Avoid certainty claims beyond visible evidence, and state confidence and limitations where appropriate.

[User] These two Sentinel-2 images show the same area at two times (2023-05-28 and 2023-06-22). Identify wildfire damage or burn-scar changes.

[Assistant] The pair suggests fire-related change in 10 region(s), covering about 17.8% of the tile. The largest region spans roughly 7908 pixels. This is optical-only evidence and may be affected by clouds, haze, and seasonal effects.


[System] You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized to 0-1 relative to image dimensions. This is optical-only observation. Avoid certainty claims beyond visible evidence, and state confidence and limitations where appropriate.

[User] Locate burn-scar and fire-affected regions visible in the post-event image. Return JSON list with labels and normalized bboxes.

[Assistant] [{"label": "burn_scar", "bbox": [0.058, 0.0893, 0.9955, 0.5446]}, {"label": "burn_scar", "bbox": [0.375, 0.1339, 0.4643, 0.25]}, {"label": "burn_scar", "bbox": [0.1607, 0.4152, 0.2589, 0.4955]}, {"label": "burn_scar", "bbox": [0.7679, 0.0045, 0.8304, 0.0714]}, {"label": "burn_scar", "bbox": [0.7946, 0.4196, 0.8661, 0.4509]}, {"label": "burn_scar", "bbox": [0.3393, 0.4866, 0.3795, 0.5312]}, {"label": "burn_scar", "bbox": [0.7009, 0.067, 0.75, 0.1027]}, {"label": "burn_scar", "bbox": [0.5357, 0.5625, 0.5625, 0.6027]}, {"label": "burn_scar", "bbox": [0.7054, 0.6116, 0.7321, 0.6384]}, {"label": "burn_scar", "bbox": [0.7411, 0.4509, 0.7812, 0.4821]}]


[System] You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized to 0-1 relative to image dimensions. This is optical-only observation. Avoid certainty claims beyond visible evidence, and state confidence and limitations where appropriate.

[User] These two Sentinel-2 images show the same area at two times (2023-05-28 and 2023-06-22). Identify wildfire damage or burn-scar changes.

[Assistant] The pair suggests fire-related change in 10 region(s), covering about 20.8% of the tile. The largest region spans roughly 9528 pixels. This is optical-only evidence and may be affected by clouds, haze, and seasonal effects.


[System] You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized to 0-1 relative to image dimensions. This is optical-only observation. Avoid certainty claims beyond visible evidence, and state confidence and limitations where appropriate.

[User] Locate burn-scar and fire-affected regions visible in the post-event image. Return JSON list with labels and normalized bboxes.

[Assistant] [{"label": "burn_scar", "bbox": [0.0, 0.0312, 0.9955, 0.5446]}, {"label": "burn_scar", "bbox": [0.125, 0.1295, 0.2143, 0.25]}, {"label": "burn_scar", "bbox": [0.5179, 0.0045, 0.5804, 0.0714]}, {"label": "burn_scar", "bbox": [0.5446, 0.4196, 0.6161, 0.4509]}, {"label": "burn_scar", "bbox": [0.0893, 0.4866, 0.1295, 0.5312]}, {"label": "burn_scar", "bbox": [0.4509, 0.067, 0.5, 0.1027]}, {"label": "burn_scar", "bbox": [0.2857, 0.5625, 0.3125, 0.6027]}, {"label": "burn_scar", "bbox": [0.4554, 0.6116, 0.4821, 0.6384]}, {"label": "burn_scar", "bbox": [0.4911, 0.4509, 0.5312, 0.4821]}, {"label": "burn_scar", "bbox": [0.9062, 0.0223, 0.9196, 0.058]}]


[System] You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized to 0-1 relative to image dimensions. This is optical-only observation. Avoid certainty claims beyond visible evidence, and state confidence and limitations where appropriate.

[User] These two Sentinel-2 images show the same area at two times (2023-05-28 and 2023-06-22). Identify wildfire damage or burn-scar changes.

[Assistant] The pair suggests fire-related change in 12 region(s), covering about 18.4% of the tile. The largest region spans roughly 8540 pixels. This is optical-only evidence and may be affected by clouds, haze, and seasonal effects.


[System] You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized to 0-1 relative to image dimensions. This is optical-only observation. Avoid certainty claims beyond visible evidence, and state confidence and limitations where appropriate.

[User] Locate burn-scar and fire-affected regions visible in the post-event image. Return JSON list with labels and normalized bboxes.

[Assistant] [{"label": "burn_scar", "bbox": [0.0, 0.0312, 0.8795, 0.5446]}, {"label": "burn_scar", "bbox": [0.2634, 0.0045, 0.3304, 0.0714]}, {"label": "burn_scar", "bbox": [0.8036, 0.3259, 0.8571, 0.3929]}, {"label": "burn_scar", "bbox": [0.2009, 0.067, 0.25, 0.1027]}, {"label": "burn_scar", "bbox": [0.2946, 0.4196, 0.3661, 0.4509]}, {"label": "burn_scar", "bbox": [0.0357, 0.5625, 0.0625, 0.6027]}, {"label": "burn_scar", "bbox": [0.7321, 0.3527, 0.7545, 0.3929]}, {"label": "burn_scar", "bbox": [0.2411, 0.4509, 0.2812, 0.4821]}, {"label": "burn_scar", "bbox": [0.2054, 0.6116, 0.2277, 0.6384]}, {"label": "burn_scar", "bbox": [0.7545, 0.0446, 0.7812, 0.0759]}, {"label": "burn_scar", "bbox": [0.6562, 0.0223, 0.6696, 0.058]}, {"label": "burn_scar", "bbox": [0.7902, 0.3795, 0.808, 0.4152]}]


[System] You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized to 0-1 relative to image dimensions. This is optical-only observation. Avoid certainty claims beyond visible evidence, and state confidence and limitations where appropriate.

[User] These two Sentinel-2 images show the same area at two times (2023-05-28 and 2023-06-22). Identify wildfire damage or burn-scar changes.

[Assistant] The pair suggests fire-related change in 8 region(s), covering about 12.0% of the tile. The largest region spans roughly 5504 pixels. This is optical-only evidence and may be affected by clouds, haze, and seasonal effects.


[System] You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized to 0-1 relative to image dimensions. This is optical-only observation. Avoid certainty claims beyond visible evidence, and state confidence and limitations where appropriate.

[User] Locate burn-scar and fire-affected regions visible in the post-event image. Return JSON list with labels and normalized bboxes.

[Assistant] [{"label": "burn_scar", "bbox": [0.0, 0.0312, 0.6295, 0.4464]}, {"label": "burn_scar", "bbox": [0.0179, 0.0045, 0.0804, 0.0714]}, {"label": "burn_scar", "bbox": [0.5536, 0.3259, 0.6071, 0.3929]}, {"label": "burn_scar", "bbox": [0.0446, 0.4196, 0.1161, 0.4509]}, {"label": "burn_scar", "bbox": [0.4821, 0.3527, 0.5045, 0.3929]}, {"label": "burn_scar", "bbox": [0.5045, 0.0446, 0.5312, 0.0759]}, {"label": "burn_scar", "bbox": [0.4062, 0.0223, 0.4196, 0.058]}, {"label": "burn_scar", "bbox": [0.5402, 0.3795, 0.558, 0.4152]}]


[System] You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized to 0-1 relative to image dimensions. This is optical-only observation. Avoid certainty claims beyond visible evidence, and state confidence and limitations where appropriate.

[User] These two Sentinel-2 images show the same area at two times (2023-05-28 and 2023-06-22). Identify wildfire damage or burn-scar changes.

[Assistant] The pair suggests fire-related change in 6 region(s), covering about 13.1% of the tile. The largest region spans roughly 6222 pixels. This is optical-only evidence and may be affected by clouds, haze, and seasonal effects.


[System] You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized to 0-1 relative to image dimensions. This is optical-only observation. Avoid certainty claims beyond visible evidence, and state confidence and limitations where appropriate.

[User] Locate burn-scar and fire-affected regions visible in the post-event image. Return JSON list with labels and normalized bboxes.

[Assistant] [{"label": "burn_scar", "bbox": [0.058, 0.0, 0.9955, 0.2902]}, {"label": "burn_scar", "bbox": [0.3393, 0.2366, 0.3795, 0.2812]}, {"label": "burn_scar", "bbox": [0.7946, 0.1696, 0.8661, 0.2009]}, {"label": "burn_scar", "bbox": [0.5357, 0.3125, 0.5625, 0.3527]}, {"label": "burn_scar", "bbox": [0.7054, 0.3616, 0.7321, 0.3884]}, {"label": "burn_scar", "bbox": [0.7411, 0.2009, 0.7812, 0.2277]}]


[System] You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized to 0-1 relative to image dimensions. This is optical-only observation. Avoid certainty claims beyond visible evidence, and state confidence and limitations where appropriate.

[User] These two Sentinel-2 images show the same area at two times (2023-05-28 and 2023-06-22). Identify wildfire damage or burn-scar changes.

[Assistant] The pair suggests fire-related change in 7 region(s), covering about 12.9% of the tile. The largest region spans roughly 6043 pixels. This is optical-only evidence and may be affected by clouds, haze, and seasonal effects.


[System] You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized to 0-1 relative to image dimensions. This is optical-only observation. Avoid certainty claims beyond visible evidence, and state confidence and limitations where appropriate.

[User] Locate burn-scar and fire-affected regions visible in the post-event image. Return JSON list with labels and normalized bboxes.

[Assistant] [{"label": "burn_scar", "bbox": [0.0, 0.0, 0.9062, 0.2902]}, {"label": "burn_scar", "bbox": [0.0893, 0.2366, 0.1295, 0.2812]}, {"label": "burn_scar", "bbox": [0.5446, 0.1696, 0.6161, 0.2009]}, {"label": "burn_scar", "bbox": [0.9018, 0.0, 0.9554, 0.0268]}, {"label": "burn_scar", "bbox": [0.2857, 0.3125, 0.3125, 0.3527]}, {"label": "burn_scar", "bbox": [0.4554, 0.3616, 0.4821, 0.3884]}, {"label": "burn_scar", "bbox": [0.4911, 0.2009, 0.5312, 0.2277]}]


[System] You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized to 0-1 relative to image dimensions. This is optical-only observation. Avoid certainty claims beyond visible evidence, and state confidence and limitations where appropriate.

[User] These two Sentinel-2 images show the same area at two times (2023-05-28 and 2023-06-22). Identify wildfire damage or burn-scar changes.

[Assistant] The pair suggests fire-related change in 10 region(s), covering about 10.0% of the tile. The largest region spans roughly 4321 pixels. This is optical-only evidence and may be affected by clouds, haze, and seasonal effects.


[System] You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized to 0-1 relative to image dimensions. This is optical-only observation. Avoid certainty claims beyond visible evidence, and state confidence and limitations where appropriate.

[User] Locate burn-scar and fire-affected regions visible in the post-event image. Return JSON list with labels and normalized bboxes.

[Assistant] [{"label": "burn_scar", "bbox": [0.0, 0.0, 0.6562, 0.2902]}, {"label": "burn_scar", "bbox": [0.7188, 0.0, 0.8795, 0.0938]}, {"label": "burn_scar", "bbox": [0.8036, 0.0804, 0.8571, 0.1429]}, {"label": "burn_scar", "bbox": [0.2946, 0.1696, 0.3661, 0.2009]}, {"label": "burn_scar", "bbox": [0.6518, 0.0, 0.7054, 0.0268]}, {"label": "burn_scar", "bbox": [0.0357, 0.3125, 0.0625, 0.3527]}, {"label": "burn_scar", "bbox": [0.7321, 0.1027, 0.7545, 0.1429]}, {"label": "burn_scar", "bbox": [0.2411, 0.2009, 0.2812, 0.2277]}, {"label": "burn_scar", "bbox": [0.2054, 0.3616, 0.2277, 0.3884]}, {"label": "burn_scar", "bbox": [0.7902, 0.1295, 0.808, 0.1652]}]


[System] You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized to 0-1 relative to image dimensions. This is optical-only observation. Avoid certainty claims beyond visible evidence, and state confidence and limitations where appropriate.

[User] These two Sentinel-2 images show the same area at two times (2023-05-28 and 2023-06-22). Identify wildfire damage or burn-scar changes.

[Assistant] The pair suggests fire-related change in 7 region(s), covering about 4.7% of the tile. The largest region spans roughly 1777 pixels. This is optical-only evidence and may be affected by clouds, haze, and seasonal effects.


[System] You are a geospatial analyst specializing in satellite imagery interpretation. Analyze the provided Sentinel-2 satellite images and report findings grounded in visible evidence. Use [x1, y1, x2, y2] bounding boxes normalized to 0-1 relative to image dimensions. This is optical-only observation. Avoid certainty claims beyond visible evidence, and state confidence and limitations where appropriate.

[User] Locate burn-scar and fire-affected regions visible in the post-event image. Return JSON list with labels and normalized bboxes.

[Assistant] [{"label": "burn_scar", "bbox": [0.0, 0.0, 0.4062, 0.1964]}, {"label": "burn_scar", "bbox": [0.4688, 0.0, 0.6295, 0.0938]}, {"label": "burn_scar", "bbox": [0.5536, 0.0804, 0.6071, 0.1429]}, {"label": "burn_scar", "bbox": [0.0446, 0.1696, 0.1161, 0.2009]}, {"label": "burn_scar", "bbox": [0.4018, 0.0, 0.4554, 0.0268]}, {"label": "burn_scar", "bbox": [0.4821, 0.1027, 0.5045, 0.1429]}, {"label": "burn_scar", "bbox": [0.5402, 0.1295, 0.558, 0.1652]}]