23

4

GeoEye/EyeQ

GeoEye/EyeQ

NYTimes.

“They say, a picture is worth athousand words,
But experience, now that’s amillion words.

8

Ariston Gonzalez- Aerospace Research and Engineering backgroundPHILIPPINESPHILIPPINES

20

averagetyphoonvisit yearly

11/11/2019

th4

PACIFICRING OF
FIRE

Most
disasterProne
country

United Nations Office for Disaster Risk Reduction (UNISDR)
Amadore, L. “Socioeconomic impacts of extreme climatic events in the Philippines”. November 25, 2005.
http://www.adrc.asia/nationinformation.php?NationCode=608

133

DIWATA-1© JAXA/NASA

14

860 nm

11/11/2019

740 nm15

16

Why do we do this?

DATA

Data saves Time.

Data saves Resources.

Data saves lives.
17

MISSION
Help our organizations be fully prepared for any
disasters through satellite data, remote sensing,and realistic immersive training simulations.
This way they are more efficient, productive,
and resilient.
18

DATA

Problem:
Even though a lot of data is available,

many disaster responders
struggle with data utilization
AccessUnderstanding
Data Analytics& Processing

Appreciation

Visualization& Contextualization

Utilization
Application
In the Field20

Barriers to Data Utilization
EXPERTISE Barrier
Converting Level 0 (Raw) data to useable data requires experts, andapplying the processed data for disaster management would require
technically inclined users assisted by experts

TECHNICAL Barrier
Interpreting and appreciating the processed data typically require
specialized equipment and software

SCALABILITY Barrier
Disaster management involves at least hundreds, and even up to thousandsof manpower to conduct training, perform rescue operations, and drive
rehabilitation initiatives
21

Data Ecosystem (Present)
ProvidersSatellite/Airborne
Data

DesktopAcademeTextbooks
Sensors
Publications

Reports
Expertinsights

Standards/Framework

Desktop

Desktop

Corporations /Organizations

Government
Agencies

Ground-based
Data22

Data Ecosystem (Before Disaster)
Satellite/Airborne
Data??
Desktop

Textbooks
Sensors

Intended Users:
Ground Responders
Disaster Operations Manager
Logistics Coordinators

Specialized Experts:
Engineers
Scientists
Researchers

Hmm..
earthquake
Corporations /Institutions /Organizations

Imagine anearthquake ishappening, takecover!

Reports
Expertinsights

Publications
Standards/Framework

Maps + Graphs + Paper Documents

Ok!

Ground-based
Data23

Disaster Preparedness Training (Typical)

PhilippinesJapanSources: https://www.researchgate.net/figure/Activities-to-prepare-the-pamphlets-of-tsunami-earthquake-by-volunteers-in-Japan_fig2_285613910
https://www.pdrf.org/preplab/Data Ecosystem (During Disaster)Specialized Experts:
Engineers
Scientists
Researchers

Satellite/
Airborne
Data

Desktop

Ground-based
Data

Corporations /Institutions /Organizations

Traditional Data Pipeline

Here! Use thisMaps + Graphs + Paper Documents??
Intended Users:
Ground Responders
Disaster Operations Manager
Logistics Coordinators
25

Geodetic Engineers
Field Officers
Researchers

Maps + Graphs +Paper Documents

26

Evolving Landscape ofDisaster ManagementFastgrowingnetworkand reach

Data Driven
DecisionmakingDisaster unfolds ina non-linear
manner28

USER PAIN

“I have a forecastingproblem.”“I have atrainingconsistencyproblem.”“I have a disaster
scenario accuracy problem.”“I have areach andscalabilityproblem.”29

“Solution:

RS:AR
Remote Sensing in Augmented Reality

Data
Insights

Geospatial
AR

Crowdsourced
Data30

From the movie “Avatar”

From the movie “Iron Man”

34Training and Preparedness (with RS:AR)
Remove the barriers:- Put the Experts into Devices- Transform Data into Immersion
SatelliteData

Data
Insights

DesktopBig Institutions / Agencies

AR Glasses
Geospatial
AR

Ground-based
Data

Crowdsourced
Data

Target Users

36

DisasterManagement

It is common to use satellite data toshow post-disaster conditions.
But a ground response team would
still require experts on the field.

Data
Insights

Landslide identification on Naga, Cebu

(20 September 2018)(21 September 2018)37

DisasterManagement

With immersive technologies, we candirectly empower ground responseunits, even without an expert.

Geospatial
AR38

FloodPlanning

In this prototype demonstration, we areshowing the flood visualization on aresidential area, using satellite data reprojected into Augmented reality.

GeospatialAR39

Conduct operations and planning anywhere.

Urban Flooding Scenarios

Escalating Fire and Evacuation Scenarios

Currently Engaging with:41

Crowdsourced
Data+Data
Insights

43

RS:ARNot just a visual tool..

Remote Sensing in Augmented Reality

but a collaborative,informative,immersive,..extension of our senses
44

RS:AR, a better way to be resilient
From:

To:
On-demand stream of information

Delayed Utilization of Data
Up-to-date and relevant
Inaccurate DataIneffective training method

Strategic & Immersive
Preparedness

Gut-feel forecasting

Data-driven forecasting

Independent operations

Community-involved management

““Resilience isn’t just an outcome,it’s a process.”
A. Gonzalez
Adarna Aerospace-Ariston Gonzalez- Launched two microsatellites
into Low-Earth orbit- Satellite Guidance systems- MS Aerospace Engineeringfrom Tohoku University

Juan Paolo Espiritu- Satellite BUS development- Immersion Tech Developer- Science Educator- MS Aerospace Engineeringfrom Tohoku University

Lizbeth Joyce Daluz- Software/Test Developer- Electronics Engineer- Former Technical PatentSpecialist (Osaka, Japan)

Benjamin Jonah Magallon- Satellite Payload development- Remote Sensing Scientist- Geodetic Engineer- MS Cosmoscience from
Hokkaido University

The Team

Finalist from
ASIA RoundUsing satellite data andaugmented reality
to save lives.

49

Using satellite data andaugmented reality
to save lives.

Contact us:

We are looking for:
Early adopters
Institutional Users
Partners

50