ecosystems services investments automated near real time...

Ecosystems Services Investments

Automated

Near real time data extraction

Charles Mondello, CEO ESI

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Living Concurrent Once-in-a-Lifetime Events

● Reacting not planning

● Gov’t & Commercial risk

● Design impacts on

stormwater risk

● ESI provides:

○ Easy to acquire

○ Reduces risk

○ Save lives

○ Timely

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Environmental Underpinnings

Assess, analyze, and communicate

gray vs. green infrastructure

ESI brings:

● Digital, accurate, current data

● Proven engineering models

● Cloud computing analytics

● Machine learning & Artificial intelligence

● Easy browser access

SPATIAL DATA

DIGITAL ECOSYSTEM MODEL

EcoSystem

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What ESI Accomplishes

Builds a “living” digital model and gives you the ability to run on your own

● Identifies technical source data for the model

● Streams data from its source into the model

● Conducts quality control on the data

● Populates engineering algorithms with the model’s data

● Develops an internet portal for user access

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ESI Benefits

You can get accurate, timely technical data and

analysis, instantly and cost effectively

● Incorporate data seamlessly into local GIS

● Use the “living model” to plan for the future

○ Land use planning

○ Stormwater management

○ Risk management

○ Disturbed soils

● React to developing storm events

Normalized Difference Infrared Index

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How it Works

● ESI obtains raw data describing existing conditions, from:

○ Remotely sensed images

○ Parcel data

○ Planimetric data for feature extraction

○ Soil survey data

○ Local sources identified by the community

● Builds a “living” data model for a local area

○ Using a cloud based Machine Learning, Artificial Intelligence platform

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General Workflow

Grab layers from Amazon storage ● For simple cases: process on-the-fly● For complex cases: preprocess &

classify using ML and AI● Understand spatial spectral relational

data components● Served as WMS● Produces a PDF report or GIS file

Indices

ML

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The Project Framework

● Pervious to Impervious land cover

gradient

○ Basic infrastructure framework

○ 5 land cover types

○ Available on demand 24/7

○ Frequent updates

● Low cost/ High value

○ Fits seamlessly into your GIS

● Hosted/local service via Browser/GIS

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How it Works

RGB and MS Images Lexington SC

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How it works… 5 Class Land Cover

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How it Works - Area per scene

Land Cover Area (sq mile)

Soils 6.48

Grass 45.25

Impervious 33.34

Forest 142.40

Water 31.25For these derived areas trusted models are used for

runoff, taxation, and other calculations

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EnviroMaps™ & Cloud Computing

ESI uses raw, recent imagery to deliver

actionable data and analytics via a browser

● Always available

● Real-time ‘what if’ models

● Green vs. gray infrastructure

● Risk mitigation planning

● Reinsurance

● Optimized taxation

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EnviroMapsTM Product Mix

Pre-planning and risk reduction saves lives

● LiveLandSM - current land cover (5 classes)

● HydrologixSM - land cover (14 classes)

● LiveGreenSM - ag and green infra performance

monitoring

● Risk maps

○ LiveSWMMSM

○ LiveFireSM

LiveGreen AEC firm - China

Quality and scale levelsTier 1 - 10M globalTier 2 - 3m globalTier 3 - .5-1m U.S. domesticEnterprise - custom imagery

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Correct Data is Key

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Recent, correct radiometry and resolution is the key

● Attributes must match need, too high vs too low

● Data must be captured within hours across the entire

region for spectral uniformity

● Temporal access allows continual update

● Algorithms learn what is key to the user

● ESI is source independant

● New data capture vehicles continually launched

● ESI is adding additional layers to optimize analytics

ESI could update data as often as weekly

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Questions & Next Steps

● ESI is looking to partner with cities and counties in the region

● We are focusing on Virginia, North and South Carolina initially

● Help us define and optimize the product suite

ESI’s mission is to enable cities and counties to better manage their green and

gray infrastructure dynamically and economically.

Thank you Charles Mondello Charlesm.ecosi@gmail.com