Re: [datameet] Flood plain maps for Maharashtra

[Vaishnavi Jayakumar (Inclusive India)]

*Not quite in response to your query, but related to recent flood
discussions - take a look at cloudtostreet.info *

*Also:*
https://www.devex.com/news/opinion-data-driven-preparedness-for-disaster-88950
https://www.youtube.com/watch?v=wiWSNh6zUSo
https://landsat.gsfc.nasa.gov/mapping-historic-floods-around-the-world/

*Social Entrepreneurs Predict Flooding Risk In Vulnerable Communities*

forbes.com/sites/annefield/2016/09/21/social-enterpreneurs-predict-flooding-risk-in-vulnerable-communities/

*9/21/2016*

*Anne Field *

As climate change causes more potentially catastrophic flooding across the
globe, the need to predict what areas are the most vulnerable  becomes more
urgent.

That's the issue Cloud to Street is addressing, combining big data
analysis, crowd sourced information from people on the ground and satellite
imagery to create what co-founder Bessie Schwarz calls a "living
vulnerability assessment."The startup recently  took part in a pitch event
at SOCAP2016 in San Francisco.

Basically, the startup creates maps that determine and displays flood risks
for anywhere in the world, with an analysis of which communities are most
vulnerable because of their underlying social conditions. For example, in
one area, it might turn out there's a connection between having a large
older population and higher risk of  extreme damage from flooding.
According to Schwarz, although roughly 16% of  New Orleans residents were
over 60 when Hurricane Katrina hit, 75% of deaths were from people in this
age bracket.

But it takes a lot of leg work. Part of the data comes from satellite
imagery, much of which was originally generated by NASA . But another chunk
is from people on the ground--the communities that have experienced
flooding."We need to know whether those pixels are of your street and if
so, did it really flood there and what happened," she says.In fact, the
social conditions connected to flooding are as important as the satellite
 data, because they provide the most insights into what causes a community
both to experience greater losses and be less likely to recover.

For example, a flood map of New York State in 2014  showed that  major
characteristics of at-risk places included a preponderance of female head
of households/ lower median house value and poverty. Also, the
characteristics of social conditions are different from one region or
country to another. "The conditions that make communities more at risk in
Senegal are not necessarily the same ones you find in the ninth ward of New
Orleans," says Schwarz.

Schwarz and  co-founder Beth Tellman got started when they were graduate
students at Yale's School of Forestry and Environmental Studies in 2013.
There, they got involved with a project spurred on by Google Earth
Outreach, which has a tool for processing satellite imagery. Tellman, a
hydrologist who had previously worked on disaster relief in El Salvador,
immediately remembered instances during which people didn't get the help
they needed thanks to faulty maps. Schwarz had worked as a community
organizer on climate change-related disaster relief in the U.S., and saw
the need to gather input from those on the ground.

Then, according to Schwarz, they were approached by World Bank officials in
2014 trying to get a better understanding of what happened when disastrous
flooding in the north Indian state of Uttarakhand killed almost 6,000
people. But it wasn't until early 2015 that the founders decided, says
Schwarz, "We need to make a company out of this."Now, they're running
pilots  in Senegal and India, as well as part of the U.S. because, says
Schwarz, "There's great data here."  The target market is development banks
that work with governments and NGOs.


---
VAISHNAVI JAYAKUMAR
http://about.me/vjayakumar

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Re: [datameet] Flood plain maps for Maharashtra

[Samuel Rajkumar]

Wouldn't any global elevation map suffice?
https://asterweb.jpl.nasa.gov/gdem.asp for instance?

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[datameet] Flood plain maps for Maharashtra

[Sandeep Kumar]

What do you exactly need areas under sea in future 

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