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samples/04_gis_analysts_data_scientists/calculate_post_fire_landslide_risk.ipynb

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"# Raster Analytics - Calculate wildfire landslide risk\n"
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"cell_type": "markdown",
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"metadata": {},
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"In October 2017, wildfires raged through Sonoma and Napa counties, devastating surrounding communities. In the wake of these fires, the burn scars could cause further risk to public safety from a different kind of disaster: landslides. Post-fire landslides are particularly hazardous because there is more erosion and weaker soil in burned areas without vegetation to anchor the topsoil.\n",
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"\n",
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"Groups handling rehabilitation, emergency planning and mitigation after a wildfire need to assess the vulnerability of the landscape to landslides. In this notebook, we will provide local emergency management teams a summary of post-wildfire landslide risk, so officials can target mitigation efforts to the most vulnerable watershed basins.\n",
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"\n",
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"We will use the imagery layers to assess landslide risk per watershed within the burn area. We will create a landslide risk map and then summarize the landslide risk based on watershed sub-basins. We will use raster function chains to derive a burn severity map, a topographic slope map, and a land cover index map. These individual processing chains will be combined into one processing chain for distributed processing on the Raster Analytics server and then be summarized by watershed sub-basins.\n"
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"- [Conclusion](#Conclusion)\n"
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"In October 2017, wildfires raged through Sonoma and Napa counties, devastating surrounding communities. In the wake of these fires, the burn scars could cause further risk to public safety from a different kind of disaster: landslides. Post-fire landslides are particularly hazardous because there is more erosion and weaker soil in burned areas without vegetation to anchor the topsoil.\n",
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"\n",
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"Groups handling rehabilitation, emergency planning and mitigation after a wildfire need to assess the vulnerability of the landscape to landslides. In this notebook, we will provide local emergency management teams a summary of post-wildfire landslide risk, so officials can target mitigation efforts to the most vulnerable watershed basins.\n",
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"\n",
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"We will use the imagery layers to assess landslide risk per watershed within the burn area. We will create a landslide risk map and then summarize the landslide risk based on watershed sub-basins. We will use raster function chains to derive a burn severity map, a topographic slope map, and a land cover index map. These individual processing chains will be combined into one processing chain for distributed processing on the Raster Analytics server and then be summarized by watershed sub-basins.\n"
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]
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"cell_type": "markdown",
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"metadata": {},

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