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2019.11.20 Manila, the Philippines ASEAN IVO Forum 2019 AI Applications of Earth Observation Data for Disaster Monitoring in the Philippines Roel M. de la Cruz Rocell Nino B. Vicente DOST-ASTI

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Page 1: AI Applications of Earth Observation Data for Disaster ...MIND MAP OF USERS. 2019.11.20 Manila, the Philippines ASEAN IVO Forum 2019 SUMMARY The DATOS Project developed techniques

2019.11.20 Manila, the Philippines ASEAN IVO Forum 2019

AI Applications of Earth Observation Data for Disaster Monitoring in the Philippines

Roel M. de la CruzRocell Nino B. VicenteDOST-ASTI

Page 2: AI Applications of Earth Observation Data for Disaster ...MIND MAP OF USERS. 2019.11.20 Manila, the Philippines ASEAN IVO Forum 2019 SUMMARY The DATOS Project developed techniques

2019.11.20 Manila, the Philippines ASEAN IVO Forum 2019

Background :

Project Title: Remote Sensing and Data Science (DATOS) Help Desk

Satellite earth observation (EO) supports data-driven assessment and decision-makingthrough the provision of timely information over a specific area of interest. This has becomeincreasingly vital in the four thematic areas of disaster risk reduction and management(DRRM) – prevention and mitigation, preparedness, response and rehabilitation and recovery– as rapid assessments can be done for urgent and prompt action.

To better provide analysis-ready data during critical events, the DOST-ASTI, through theRemote Sensing and Data Science Help Desk, or the DATOS Project, is leveraging ArtificialIntelligence to develop applications for DRRM using satellite images along with other criticalinfrastructure such as the Philippine Earth Data Resource and Observation (PEDRO) Center’ssatellite ground receiving station and the Computing and Archiving Research Environment’s(COARE) high-performance computing facility.

Page 3: AI Applications of Earth Observation Data for Disaster ...MIND MAP OF USERS. 2019.11.20 Manila, the Philippines ASEAN IVO Forum 2019 SUMMARY The DATOS Project developed techniques

2019.11.20 Manila, the Philippines ASEAN IVO Forum 2019

Background :

The Remote Sensing and Data Science (DATOS) Help Desk of the Department of Science andTechnology-Advanced Science and Technology Institute (DOST-ASTI) uses the agency’s HighPerformance Computing (HPC) facility in processing satellite images for various disaster-related and agricultural mapping outputs.

DOST-ASTI acquires terabytes of satellite images from several commercial optical and radarsatellite subscriptions through the PEDRO Center Ground Receiving Station, which are storedand processed in the Computing and Archiving Research Environment (COARE) facility. DATOSthen applies Artificial Intelligence (AI) or Time-Series Analysis to detect and map out featuresfrom these satellite images.

Project Title: Remote Sensing and Data Science (DATOS) Help Desk

Page 4: AI Applications of Earth Observation Data for Disaster ...MIND MAP OF USERS. 2019.11.20 Manila, the Philippines ASEAN IVO Forum 2019 SUMMARY The DATOS Project developed techniques

2019.11.20 Manila, the Philippines ASEAN IVO Forum 2019

DATASETS

Page 5: AI Applications of Earth Observation Data for Disaster ...MIND MAP OF USERS. 2019.11.20 Manila, the Philippines ASEAN IVO Forum 2019 SUMMARY The DATOS Project developed techniques

2019.11.20 Manila, the Philippines ASEAN IVO Forum 2019

HPC

Object Detection

(GPU)

Time-Series

Analysis

(CPU)

Earth

Observation Data• Maps

• Analysis

METHODOLOGY

Page 6: AI Applications of Earth Observation Data for Disaster ...MIND MAP OF USERS. 2019.11.20 Manila, the Philippines ASEAN IVO Forum 2019 SUMMARY The DATOS Project developed techniques

2019.11.20 Manila, the Philippines ASEAN IVO Forum 2019

OUTPUTS

Page 7: AI Applications of Earth Observation Data for Disaster ...MIND MAP OF USERS. 2019.11.20 Manila, the Philippines ASEAN IVO Forum 2019 SUMMARY The DATOS Project developed techniques

2019.11.20 Manila, the Philippines ASEAN IVO Forum 2019

AI MODELS

Synthetic Aperture Radar

15-m resolution

Flood maps

Fish pens

Fish ponds

Ships

Landsat Images30-m resolution

Built-up Areas

Water Bodies

Vegetation

Clouds/Shadows

Bare Soil

Planet Imagery3-m resolution

Built-up Areas

Water Bodies

Vegetation

Clouds/Shadows

Bare Soil

Irrigation Network

Road Network

VHR Images0.3-m resolution

Mango Trees

Coconut TreesPili Trees

Damaged BuildingsBuildings

Page 8: AI Applications of Earth Observation Data for Disaster ...MIND MAP OF USERS. 2019.11.20 Manila, the Philippines ASEAN IVO Forum 2019 SUMMARY The DATOS Project developed techniques

2019.11.20 Manila, the Philippines ASEAN IVO Forum 2019

.

DBM-DIME*

DOT

DPWH

NDRRMC

PHIVOLCS

DSWD

Coast Watch

AFPPCA

SRA

BPSU

DA-FPOPD

NAMRIA

DENR

BFAR

Sugarcane Mapping

Mango Tree Mapping

Corn Mapping

Port Detection

Building Detection

Damaged Buildings

Detection

Drought Maps

Flood Maps

Earthquake Interferogram

Critical Infrastructure Mapping

Land Cover Classification

Ship Detection

Road Detection

Bridge Detection

Change Detection

Coconut Mapping

Rice Mapping

Fish Pen Detection

Agencies that have MOA on Research Collaboration with DOST-ASTI through DATOS

Legend:

Agencies that are recipients of DATOS outputs as needed

AI for EO

Infra

DRR-CCA

Security and

Defense

Food Security

Monitoring

Agencies with ongoing talks and/or possible users*MOA is through DOST Main Office

MIND MAP OF USERS

Page 9: AI Applications of Earth Observation Data for Disaster ...MIND MAP OF USERS. 2019.11.20 Manila, the Philippines ASEAN IVO Forum 2019 SUMMARY The DATOS Project developed techniques

2019.11.20 Manila, the Philippines ASEAN IVO Forum 2019

SUMMARY

The DATOS Project developed techniques to extract features from remotely-sensed data through automation of remote-sensing workflows and the use of Neural Networks. Examples are automated flood detection from multi-temporal SAR images, land cover detection, road network detection, mango tree detection and agricultural plantation mapping.

Moving forward, DOST-ASTI is looking to further expand the reach and adoption of its space-based tools and applications through a combination of stakeholders’ meetings and trainings. These initiatives seek to capacitate other government agencies to be able to ingest, process, and analyze earth observation data, creating a community of users for better incidence impact to the Filipino people.