Damage Assessment March 17 Update (#50)

* Fix typo

* Damage Assessment March 17 Report

docs/_toc.yml

@@ -12,6 +12,7 @@ parts:
  sections:
  - file: notebooks/damage-assessment/damage-assessment.ipynb
  - file: reports/20240202/README
+ - file: reports/20240317/README
  - file: notebooks/nighttime-lights/README
  sections:
  - file: notebooks/nighttime-lights/nighttime-lights.ipynb

notebooks/damage-assessment/README.md

@@ -89,7 +89,7 @@ Using OpenStreetMap (OSM) and Interferometric Synthetic Aperture Radar (InSAR) f
  - **Verification Challenges:** Verifying damages solely based on remote sensing data might lack the on-ground verification necessary for a comprehensive understanding of the situation.
 
 - **Conflict Data**
-ACLED is a crowdsourced dataset and is higly likely that the numbers are underreported. ACLED keep changing their data based on local validation.
+ACLED is a crowdsourced dataset and is highly likely that the numbers are underreported. ACLED keep changing their data based on local validation.
 ```
 
 ## References

notebooks/damage-assessment/damage-assessment.ipynb

@@ -4,7 +4,7 @@
  "cell_type": "markdown",
  "metadata": {},
  "source": [
- "# Visualizing Damage Buldings and Infrastructure in Gaza\n",
+ "# Visualizing Damage Buildings and Infrastructure in Gaza\n",
  "\n",
  "This notebook provides a visual analysis of Synthetic Aperture Radar (SAR) data to assess and visualize potential damage in the Gaza Strip. SAR data, known for its ability to capture ground features and changes regardless of weather conditions or time of day, can be instrumental in identifying changes in infrastructure or land features following conflict or disasters."
  ]
@@ -16,7 +16,7 @@
  "You can now interact with this map by selecting/deselecting different damage layers to visualize where buildings are most impacted in the Gaza Strip. Upon visual inspection, you can see:\n",
  "\n",
  "1. **Damage:** You can select and deselect the layers to see damages to roads, buildings and points of interest. The damage value ranges from $[0,1]$, with $1$ indicating higher level of damage.\n",
- "2. **Conflict:** You can select this layer to view areas wit reported events and fatalities."
+ "2. **Conflict:** You can select this layer to view areas with reported events and fatalities."
  ]
  },
  {
@@ -43,7 +43,7 @@
  "metadata": {},
  "source": [
  "```{note}\n",
- "The results shown in this analysis only reflect the damages until **February 2, 2024**. As the team completes further analysis, the notebook will be updated. \n",
+ "The results shown in this analysis only reflect the damages until **March 17, 2024**. As the team completes further analysis, the notebook will be updated. \n",
  "```"
  ]
  }

reports/20240317/README.md

@@ -0,0 +1,41 @@
+# Damage Assessment until March 17, 2024
+
+This Damage Assessment report provides an overview of the current state of infrastructure and buildings damage as of **March 17, 2024**. Utilizing Synthetic Aperture Radar (SAR) imagery and buildings footprints from [OpenStreeMap](https://www.hotosm.org), we have generated the maps below to visualize the extent of damage across affected areas.
+
+```{seealso}
+Additionally, for a more immersive understanding and latest update, see also the [interactive map](https://studio.foursquare.com/public/26ba3dfb-0770-4cc6-b6fa-2ee2878580fc).
+```
+
+## Damage Assessment Heatmap
+
+```{figure} heatmap-20240317.png
+---
+height: 500px
+---
+Heatmap depicting estimated damage inflicted to buildings until **March 17, 2024** in the Gaza Strip utilizing SAR imagery to evaluate the extent and geographical distribution of estimated destruction. Brighter regions indicate higher levels of damage, denoting the intensity of estimated damage on scale from 0 to 1, from white to red, where 1 signifies total damage. Source: OpenStreetMap, Sentinel-1 SAR and https://datapartnership.org/gaza-israel-conflict-impact-analysis.
+```
+
+The following is a comparative visualization that contrasts the overall estimated damage between two significant time points: **October 29** and **March 17**. These dates mark the onset of the conflict and the most recent available update, enabling us to assess the evolving impact of the conflict over time.
+
+|Estimated Damage until Oct 29, 2023 | Estimated Damage until March 17, 2024|
+|- | -|
+|![heatmap-20231029](../20240202/heatmap-20231029.png) | ![(heatmap-20240317](heatmap-20240317.png)|
+
+> Heatmap depicting estimated damage inflicted to buildings in the Gaza Strip utilizing SAR imagery to evaluate the extent and geographical distribution of estimated destruction. Brighter regions indicate higher levels of damage, denoting the intensity of estimated damage on scale from 0 to 1, from white to red, where 1 signifies total damage.
+
+## Estimated Density and Intentisy of Damage to Buildings
+
+```{figure} buildings-20230317_dark.png
+---
+height: 500px
+---
+Estimated damage inflicted to buildings until **March 17, 2024** in the Gaza Strip utilizing SAR imagery to evaluate the extent and geographical distribution of estimated destruction. Each bar represents a region, with height indicating the number of affected buildings and color denoting the intensity of estimated damage on scale from 0 to 1, from white to red, where 1 signifies total damage. Source: OpenStreetMap, Sentinel-1 SAR and https://datapartnership.org/gaza-israel-conflict-impact-analysis.
+```
+
+The following is a comparative visualization that contrasts the overall estimated damage between two significant time points: **October 29** and **March 17**. These dates mark the onset of the conflict and the most recent available update, enabling us to assess the evolving impact of the conflict over time.
+
+|Estimated Damage until Oct 29, 2023 | Estimated Damage until March 17, 2024|
+|- | -|
+|![buildings-20231025_dark](../20240202/buildings-20231025_dark.png) | ![buildings-20240317](buildings-20230317_dark.png)|
+
+> Estimated damage inflicted to buildings in the Gaza Strip utilizing SAR imagery to evaluate the extent and geographical distribution of estimated destruction. Each bar represents a region, with height indicating the number of affected buildings and color denoting the intensity of estimated damage on scale from 0 to 1, from yellow to red, where 1 signifies total damage.