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Using data to support SDG 11�Building Sustainable Cities and Communities

  • UN member countries have pledged to build sustainable cities and communities by 2030. This can only happen through data-informed decisions.
  • We are taking on the challenge to support SDG 11 by democratizing access to high-quality and granular urban profiling data to researchers, policy makers, and the public.
  • We also aim to address the lack of availability of high-quality UAV (drone) imagery for local use. UAV data also needs to be processed and enriched for it to be useful to consumers.

Problem

Solution

Data

Urban

Ethnography

Impact

Team

Adequate, safe, affordable housing, upgrade slums

Safe, affordable accessible transport systems

Inclusive and sustainable urbanization

Reduce adverse environmental impact of cities

Safe, inclusive accessible, green and public spaces

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ETHNO: Processing and enriching drone-data for urban profiling and ethnographic analysis.

ETHNO community platform receives hi-quality drone images from UAV communities and enriches this with data from remote sensing and social listening to create a database of SDG indicators. For a small fee, consumers and researchers can send location queries to ETHNO to generate an urban profile and ethnographic report. UAV operators will then receive incentives based on their submitted images encouraging more drone image submissions.

UAV Operator

Data Consumer

Incentives

Drone Images

Data Enrichment

Urban Profile and Ethnographic Report

Queries and Subscription

Social Marketing Data

Road Network Metadata

Remote Sensing

Problem

Solution

Data

Urban

Ethnography

Impact

Team

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Enriching UAV Data with Remote Sensing, Road Networks, and Social Data

ETHNO urban profile integrates several sources of digital data and local statistics/secondary data sources to generate detailed insights about locations and communities.

High-quality UAV drone imagery

Remote Sensing

Road Network Metadata

Social marketing and mobility data

Problem

Solution

Data

Urban

Ethnography

Impact

Team

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Urban Profile: Enriching UAV Data

  • Original Drone Image provides clear imagery of the landscape
  • Visualize and Estimate Land Use using Building Footprint
  • Unearth areas of interest through community detection using road networks
  • Integrating aerial imagery with other relevant datasets produces a digital fingerprint of a location

Original Drone Image (Lupang Arienda, Taytay, Rizal, Philippines)

Building Footprint Metadata

Road Network Community Detection Metadata

Problem

Solution

Data

Urban

Ethnography

Impact

Team

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Digital Ethnography: Generating Valuable SDG Metrics by combining remote sensing and social data

  • Measure the geographical environment using Satellite Indicators
  • Movement Range Map shows how people move which indicates local activity
  • Population Disaggregation and Social Interest can provide context on the knowledge, attitudes, and practice of the citizens.

Problem

Solution

Data

Urban

Ethnography

Impact

Team

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Our Impact

We aim for a sustainable urbanization through the use of novel digital technologies, community participation, and public-private partnerships through the use of quality, reliable, and accessible open data. Because without quality data, wrong decisions are made, and people could be harmed.

Problem

Solution

Data

Urban

Ethnography

Impact

Team

Value of Space Datasets

  • Socioeconomic Data and Applications Center (SEDAC), NASA

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  • Gridded Population of the World, Version 4 (GPWv4), Population Count and Population Density (UN-Adjusted) dataset

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  • Sentinel-5P - Tropospheric Monitoring Instrument (TROPOMI), European Space Agency

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  • Sentinel-2 (2A) - Multi-spectral imaging instrument (MSI), European Space Agency

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We enriched our prototype platform with satellite data on population, air quality, land use, and green vegetation spaces as urban indicators.

Check our final demo here:

https://opendata.org.ph/ethno/

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ETHNO Team Profile

Problem

Solution

Data

Urban

Ethnography

Impact

Team

Rachelle Leah Melendres

Geospatial Specialist

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Rache is an analytics consultant, researcher, and geospatial data enthusiast

Ana Patricia Salvador

Researcher

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Patty was an accountant, and is now transitioning to a more data driven world

Johanna Marie Dela Cruz

Researcher

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Joh is a freshman Communication student at the University of the Philippines Baguio

Mark Toledo

Project Lead

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Mark is a solutions architect, data geek, and a hackathon veteran.

Carlos Benedict Neri

Analyst

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Carlos is a Fourth Year Economics major student at PUP Manila