Flood mapping and monitoring using SAR data and deep learning sample notebook

Checklist

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[ ] All imports are in the first cell?
- [ ] First block of imports are standard libraries
- [ ] Second block are 3rd party libraries
- [ ] Third block are all arcgis imports? Note that in some cases, for samples, it is a good idea to keep the imports next to where they are used, particularly for uncommonly used features that we want to highlight.
[ ] All GIS object instantiations are one of the following?
- gis = GIS()
- gis = GIS('home') or gis = GIS('pro')
- gis = GIS(profile="your_online_portal")
- gis = GIS(profile="your_enterprise_portal")
[ ] If this notebook requires setup or teardown, did you add the appropriate code to ./misc/setup.py and/or ./misc/teardown.py?
[ ] If this notebook references any portal items that need to be staged on AGOL/Python API playground, did you coordinate with a Python API team member to stage the item the correct way with the api_data_owner user?
[ ] If the notebook requires working with local data (such as CSV, FGDB, SHP, Raster files), upload the files as items to the Geosaurus Online Org using api_data_owner account and change the notebook to first download and unpack the files.
[ ] Code simplified & split out across multiple cells, useful comments?
[ ] Consistent voice/tense/narrative style? Thoroughly checked for typos?
[ ] All images used like <img src="base64str_here"> instead of <img src="https://some.url">? All map widgets contain a static image preview? (Call mapview_inst.take_screenshot() to do so)
[ ] All file paths are constructed in an OS-agnostic fashion with os.path.join()? (Instead of r"\foo\bar", os.path.join(os.path.sep, "foo", "bar"), etc.)
[ ] Is your code formatted using Jupyter Black? You can use Jupyter Black to format your code in the notebook.
[ ] IF YOU WANT THIS SAMPLE TO BE DISPLAYED ON THE DEVELOPERS.ARCGIS.COM WEBSITE, ping @ mohi9282 so he can add it to the list for the next deploy

Sep 07 '22 05:09 shivanip32

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Sep 07 '22 05:09 review-notebook-app[bot]

the notebook looks good visually - I can't speak to technical content
the Introduction contains some extra characters...looks like the apostrophe in I'm came out jumbled. Can you look into the markdown cell and see if you can fix that?

Nov 07 '22 22:11 jyaistMap

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BP-Ent commented on 2022-12-27T20:09:06Z ----------------------------------------------------------------

Flooding is one of the most frequent and costly forms of natural disasters. They often strike without warning and can occur when large volumes of water fall in a short time, causing flash floods. Flood mapping is typically performed using the following methods:

Aerial observations
Ground surveys

However, when flooding is widespread, these methods become prohibitively expensive and time consuming. Furthermore, aerial observation and optical imagery can often prove difficult, if not impossible, due to obstructive weather conditions. During flooding conditions, clouds can prevent the use of optical satellite imagery for visualization and analysis. In these instances, synthetic-aperture radar (SAR) allows us to penetrate through clouds and hazy atmospheric conditions to continuously observe and map flooding.

In 2019, severe flooding occurred in the Midwest of the United States. Also known as the Great Flood of 2019, 14 million people were affected across multiple states. In this analysis, we will perform flood mapping and infrastructural inundation mapping of the St. Peters region of Missouri, which was one of the affected areas during the flood.