Green and Blue Footprints Tool: Decision Support for Living Cities

Problem Our Solution

“Green & Blue Footprints Tool” combines the power of:

• high-resolution satellite/ drone imagery

• machine learning • interactive visualization

to generate reliable, low-cost geospatial data on footprints & attributes of urban green & blue spaces at-scale

Natural ecosystems are at odds with the forces of unplanned urbanization. Without reliable inventories of green areas & water assets, govts. remain uninformed & powerless to manage urban expansion in a sustainable & resilient manner.

How did this all begin?

• “There is a really cool analysis of green spaces, super cheap product that we could turn around in 2 months for 26 cities….and someone else will do the quality control….do you want it? ” ☺

Non-Park

Buildings

Trees

Grass

Ecological Indicators:

⚫ Temperature regulation

⚫ Infiltration capacity

Social indicators:

⚫ Amenities & recreational

facilities

⚫ Gray versus green

Economic indicators

⚫ Monetary value of parks

Total working time

an outputs:

• 1.5 months,

• 531 parks,

• 1817 hectares

Proof of Concept: Satellite Imagery & Machine Learning in collaboration with GOST

Non-Park

Buildings

Trees

Grass

Ecological Indicators:

⚫ Temperature regulation

⚫ Infiltration capacity

Social indicators:

⚫ Amenities & recreational

facilities

⚫ Gray versus green

Economic indicators

⚫ Monetary value of parks

Total working

time:

• 1.5 months,

• 531 parks,

• 1817 hectares

Whatsdf

Time Saved with our approach?

50X

What the Government was Planning to do…

Unintended Outcome of the Proof of Concept

Non-Park

Buildings

Trees

Grass

Water

Data Input±30 cm resolution 8-band WorldView-3 satellite imagery with global coverage

Open Street Map (OSM) data Extension (mini pilot): Drone imagery

Algorithms & CloudStage: Feasibility tests done

Tech: AI using Python & Docker on GBDX & AWS cloud platforms, open

source, open access

VisualizationsStage: Initial Mockup

Tech: Open-source visualizations with R shiny & Javascript

nodejs/kepler.gl

JakartaMonas park, Jakarta

Technology Solution Responding to Client Demand

Monas park, Jakarta

Proposed Implementation Activities Timeline

Kickoff

Development &Operation (feedback loop)

Dissemination

May 2020

Indicator Brainstorm: Engage government counterparts

Study: Review literature & scalability measures

Indicator Prioritization: Govt discussions + scalability

Modelling: Execute and optimize AI algorithms

Evaluation: Verify with OSM, human eye & Drone data

Data understanding: Produce pilot visualizations

Final product: Code + Online, interactive app

Launch: Launch Event in Indonesia

User feedback: Govt + WB engagement for operations

Rapid Iterative

Prototyping2-4 week cycles(i.e. CRISP-DM)

Jan 2020

Aug 2019

FIRST TO SETINDUSTRY STANDARD

COMPETITIVE ADVANTAGE COMPARATIVE SUPERIORITY

Fundamental Geospatial Datasets Produced At-Scale for strengthening project preparation & implementation in SURR, Water, Env GPs -- Asset Management Enhanced with inventory for urban blue & green cover -- Development control + M&E strengthened due to ease of automation and repetition -- Benchmarking of resilience & livability indicators across cities -- New market product created

GLOBALPUBLIC GOOD

FUNDAMENTAL DATASETS AT-

SCALE

Immediate link and benefit to Indonesia lending projects in multiple GPs + 1 Govt Program-

Transferable nature of the solution (algorithmic classification, run against satellite imagery etc.) allows seamless re-deployment in other countries. Significant spill-over benefits for teams looking to apply the tool in their own projects.

CONVENTIONALFIELD SURVEY

OUR TOOL

TIME CONSUMPTION High Low

COST High Low

REPLICABILITY EASE Low High

STANDARDIZED No Yes

SCALABILITY Low High

Added Value & Strategic Relevance of Our Solution

IMPORTANCE FOR WORLD BANK OPERATIONS AND CLIENTS

Gayatri SinghSenior Urban Specialist, Urban Demographer

Edith Zheng YuanUrban Economist & Regional Planner

Our Team & Government Collaboration

Ministry of Land and Spatial Planning, Govt. of IndonesiaCollaborator and Beneficiary of the Tool

Chris van Diemen, Data Scientist

Nadine Galle, Urban Ecologist & Ecological Engineer PhD(c)

Jim Groot, GIS & Remote Sensing Specialist

“Meaningful innovation does not need to be based on outright invention. Rather, there is an exhilarating shortcut. It is based on bold, new combinations of already existing components that simultaneously unlock heightened levels of consumer value and reduce costs.” - Gabor George Burt