UP Noah

Product Description

UP Noah (University of Philippines Operational Assessment of Hazard Centers) provides a way to raise awareness of hazards and extreme events (floods, landslides, storm surges, volcanoes and earthquakes) in the Philippines, by mapping the risk areas through the cartographic information of the satellite Himawari. It provides users with data on the temporal and physical location and the grade of an event to manage events in advance.

The University of Philippines, the creator of this service, is located in Quezon City, Philippines.

Target SDGs

SDG 11: Sustainable Cities and Communities

SDG 9: Industry, Innovation and Infrastructure

Target Users (Target Impact Group)

Community, Public Sector Agencies

Distributors / Implementing Organizations

The University of Phillippines

Manufacturing/Building Method

N/A

Intellectural Property Type

Select Type

User Provision Model

Downloaded directly by the user

Distributions to Date Status

Unknown

Power requirement (mA)

Depends on the device used

Processing platform

Any computer or handheld device

Remote Sensor Calibration (Y/N)

Reporting modalities (wifi/ cellular network/other)

Any device connected to a regular internet connection

Sampling rates (Hz)

640-13,300 Hz

Sensor type(s)

Satellite Himawari

Design Specifications

UP Noah provides a way to raise community awareness of hazards and extreme events in the Philippines, to increase preparedness and reduce the catastrophic impacts of extreme hazard events. UP Noah uses real time images of satellite Himawari 8 to conduct its analyses. An internet connection is required for use. By using UP Noah's online map it is possible to view real-time risk situations. The user can input the specific location and search on the bar zoom. The color of the map shows the height of the funds that can be caused by continuous heavy rainfall and the legend on the left side of the screen shows the height of the flood.

Product Schematics

Technical Support

Supplied by the manufacturer

Replacement Components

N/A

Lifecycle

N/A

Manufacturer Specified Performance Parameters

Cultivate a culture of preparedness and reduce the catastrophic impacts of extreme hazard events. Provide high-resolution hazard maps for floods, landslides, and storm surges. Deliver a near real-time warning systems for floods for communities living along 18 major river systems in the Philippines.

Vetted Performance Status

The capacities of the results for the satellite images depend on the sensors, the characteristics of Himawari 8 and 9 in Philippines area are the following ones:

Observations per timelines	Time cycle (min.)	Observations per day
4	2.5	576

The spatial resolution of the images goes from 0.5 to 2 km/pixel.

Safety

N/A

Complementary Technical Systems

None

Academic Research and References

Alejandrino, A.M.F. and Lagmay A.M.F.A., 2016, Shallow Lanslide Hazard Mapping for Davao Oriental, Philippines Using a Deterministic GIS Model, Communicating Climate Change and Natural Hazard Risk and Cultivating Resilience: Case Studies for a Multidisciplinary Approach, Eds., Yekaterina Y. Kontar, Springer, Berlin, Germany.

Cádiz, N.R.R., 2018, UP NOAH in Building Resilient Philippines; Multi-Hazard and Risk Mapping for the Future, Procedia Engineering, 212, pp. 1018-1025.

Estuar, M.R.F., Ilagan, J.O., Victorino, J.N., Lagmay, M. and Hechanova, M.R., 2017, The Challenge of Continuous User Participation in eBayanihan: Digitizing Humanitarian Action in a Nationwide web mobile participatory disaster management system, 2016 3rd International Conference on Information and Communication Technologies for Disaster Management (ICT-DM)

Lagmay, A.M.F.A., Mendoza, J., Cipriano, F., Delmendo, P., Lacsamana, M., Moises, M., Pellejera, J., Pumay, K.N. Sabio, G., Santos, L., Serrano, J., Taniza, H.J. and Tingin, N., 2017, Street Floods in Metro Manila and Possible Solutions, J Environmental Sci.

Lagmay, A.M.F.A., Racoma, B., Aracanm K., Alconis-Ayco, J. and Saddi, I., 2017, Disseminating Near-Time Hazard Information and Flood Maps in the Philippines Through We-GIS, J Environmental Sci.

“Goal 11.” n.d. Sdgs.Un.Org. Accessed June 26, 2024. https://sdgs.un.org/goals/goal11

Competitive Landscape – NWS Internet Services Team. 2002. “National Maps – NOAA’s National Weather Service.” https://www.nws.noaa.gov/outlook_tab.php

“Forecasting Weather.” n.d. Esa.Int. Accessed June 26, 2024. https://www.esa.int/Applications/Observing_the_Earth/FutureEO/Aeolus/Forecasting_weather

“Open Data Commons Open Database License (ODbL) v1.0 — Open Data Commons: Legal Tools for Open Data.” n.d. Opendatacommons.Org. Accessed June 26, 2024. https://opendatacommons.org/licenses/odbl/1-0/

N.d. Jma.Go.Jp. Accessed June 26, 2024. https://www.data.jma.go.jp/mscweb/en/himawari89/space_segment/hsd_sample/HS_D_users_guide_en_v13.pdf

“NOAH – Nationwide Operational Assessment of Hazards.” n.d. Edu.Ph. Accessed June 26, 2024. https://noah.up.edu.ph/?fbclid=IwAR0RDhHGahtZskDGhZnm22VFZ4jBU9flIZOvqnw0SeqcRcyBa3UeVRlYeOE#/

“Design specifications.” n.d.UP Noah uses real time images of satellite Himawari 8 to conduct its analyses. https://himawari8.nict.go.jp/

Compliance with regulations

Unknown

Evaluation methods

Unknown

Other Information

None

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