Philippines environment data

Tracks of Tropical Cyclones that entered the Philippine Area of Responsibility in 2024. Observed positions were provided by DOST-PAGASA. (https://www.pagasa.dost.gov.ph/)

**ADAM ID: FL-20230222-PHL-00** Flood covering 378781.0 sq m on Feb 22 2023 in Philippines. It impacted 2261305 people.

Private Sector's Involvement ("Who is doing What Where") for Tropical Cyclone Carina (July 2024)

Private Sector's Involvement ("Who is doing What Where") for Tropical Cyclone Nika, Ofel, and Pepito (November 2024)

Private Sector's Involvement ("Who is doing What Where") for Tropical Cyclone Kristine (October 2024)

# Philippines Flood Luzon: Flood Proxy Maps, Aug 2026 The **Earth Observatory of Singapore – Remote Sensing Lab (EOS-RS)** produced these flood proxy maps for Philippines Flood Luzon (Aug 2026) from synthetic aperture radar (SAR) satellite images. Each map is a separate ZIP below with its GeoTIFF, a KMZ for Google Earth, the PNG figures and a text file describing how it was made and how to read it. ## Maps in this dataset - **EOS-RS Flood Proxy Map: Luzon, Philippines, Floods , 02 September 2026, v0.9** - **EOS-RS Flood Proxy Map: Luzon, Philippines, Floods , 14 August 2026, v0.9** **More map details and files:** **Legal Disclaimer:** **Credits:** Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS), Contains modified Copernicus Sentinel data (2026)

# EOS-RS Flood Proxy Map: Mindanao, Philippines, Typhoon Bavi, 10 July 2026, v0.8 The Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS) created this preliminary Flood Proxy Map (FPM) depicting areas that are likely flooded in Mindanao, Philippines, due to heavy rainfall caused by typhoon Bavi. This map was derived from synthetic aperture radar (SAR) images acquired by the Copernicus Sentinel-1 satellite operated by the European Space Agency (ESA) before (16 Apr 2026 to 04 Jul 2026) and after (10 Jul 2026) the event. The map covers an area indicated by the white polygon. The preliminary map shows areas which are likely flooded (shown by light blue pixels of approximately 30m in size) due to rainfall. Preliminary validation was conducted using news reports. This map should be used as a guide to identify areas that are likely flooded, and may be less reliable over urban and vegetated areas. This product contains modified Copernicus Sentinel data (2026), processed by ESA and analyzed by the Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS). **More map details and files:** **Legal Disclaimer:** **Credits:** Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS), Contains modified Copernicus Sentinel data (2026)

# EOS-RS Damage Proxy Map: Albay Province, Philippines, Mayon Volcanic Eruption, 04 May 2026, v0.9 The Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS) created this preliminary Damage Proxy Map (DPM) depicting areas that are likely damaged in Albay province, Philippines, due to a volcanic eruption from the Mayon volcano on 02 May 2026. This map was derived from synthetic aperture radar (SAR) images acquired by the Copernicus Sentinel-1 satellite operated by the European Space Agency (ESA) before (21 Dec 2025 to 20 Apr 2026) and after (02 May 2026) the event. The map covers an area indicated by the white polygon. Damage is shown by colored pixels of 30m in size, where yellow to red indicates increasingly significant ground surface change before and after the event. Preliminary validation was conducted using news reports and ground-level imagery and videos in selected areas. This map should be used as a guidance to identify damaged areas, and may be less reliable over vegetated or mountainous areas. Scattered pixels over vegetated or mountainous areas may be false positives, and a lack of colored pixels over such areas may not mean no damage. This product contains modified Copernicus Sentinel data (2025 - 2026), processed by ESA and analyzed by the Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS). **More map details and files:** **Legal Disclaimer:** **Credits:** Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS), Contains modified Copernicus Sentinel data (2025 - 2026)

# Philippines Typhoon Fung-Wong: Damage and Flood Proxy Maps, Nov 2025 The **Earth Observatory of Singapore – Remote Sensing Lab (EOS-RS)** produced these damage and flood proxy maps for Philippines Typhoon Fung-Wong (Nov 2025) from synthetic aperture radar (SAR) satellite images. Each map is a separate ZIP below with its GeoTIFF, a KMZ for Google Earth, the PNG figures and a text file describing how it was made and how to read it. ## Maps in this dataset - **EOS-RS Damage Proxy Map: Eastern Luzon, Philippines, Typhoon Fung-Wong, 11 Nov 2025, v0.9** - **EOS-RS Flood Proxy Map: Eastern Luzon, Philippines, Typhoon Fung-Wong, 11 Nov 2025, v0.9** - **EOS-RS Damage Proxy Map: Bicol and Eastern Visayas, Philippines, Typhoon Fung-Wong, 10 Nov 2025, v0.9** - **EOS-RS Damage Proxy Map: Bicol Region, Philippines, Typhoon Fung-Wong, 09 Nov 2025, v0.9** - **EOS-RS Flood Proxy Map: Bicol Region, Philippines, Typhoon Fung-Wong, 09 Nov 2025, v0.9** **More map details and files:** **Legal Disclaimer:** **Credits:** Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS), Contains modified Copernicus Sentinel data (2025)

# Philippines Central Typhoon Kalmaegi Floods: Damage and Flood Proxy Maps, Nov 2025 The **Earth Observatory of Singapore – Remote Sensing Lab (EOS-RS)** produced these damage and flood proxy maps for Philippines Central Typhoon Kalmaegi Floods (Nov 2025) from synthetic aperture radar (SAR) satellite images. Each map is a separate ZIP below with its GeoTIFF, a KMZ for Google Earth, the PNG figures and a text file describing how it was made and how to read it. ## Maps in this dataset - **EOS-RS Damage Proxy Map: Central, Philippines, Floods, 04 Nov 2025, v0.9** - **EOS-RS Flood Proxy Map: Central, Philippines, Floods, 04 Nov 2025, v0.9** **More map details and files:** **More map details and files:** leaflet/EOS-RS_202511_Philippines_Central_Typhoon_Kalmaegi_Floods **Legal Disclaimer:** **Credits:** Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS), Contains modified Copernicus Sentinel data (2025)

# Philippines Tropical Storm Bualoi Floods: Damage and Flood Proxy Maps, Sep 2025 The **Earth Observatory of Singapore – Remote Sensing Lab (EOS-RS)** produced these damage and flood proxy maps for Philippines Tropical Storm Bualoi Floods (Sep 2025) from synthetic aperture radar (SAR) satellite images. Each map is a separate ZIP below with its GeoTIFF, a KMZ for Google Earth, the PNG figures and a text file describing how it was made and how to read it. ## Maps in this dataset - **EOS-RS Damage Proxy Map: Mindoro, Philippines, Floods, 27 Sep 2025, v0.9** - **EOS-RS Flood Proxy Map: Mindoro, Philippines, Floods, 27 Sep 2025, v0.9** **More map details and files:** **More map details and files:** leaflet/EOS-RS_202509_Philippines_Tropical_Storm_Bualoi_Floods **Legal Disclaimer:** **Credits:** Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS), Contains modified Copernicus Sentinel data (2025)

# EOS-RS Flood Proxy Map: Northern Luzon, Philippines, Floods, 17 Sep 2025, v0.9 The Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS) created this preliminary Flood Proxy Map (FPM) depicting areas that are likely flooded in Northern Luzon, Philippines, due to tropical depression Mirasol. This map was derived from synthetic aperture radar (SAR) images acquired by the Copernicus Sentinel-1 satellite operated by the European Space Agency (ESA) before (02 Apr 2025 to 05 Sep 2025) and after (17 Sep 2025) the event. The map covers an area indicated by the white polygon. The preliminary map shows areas which are likely flooded (shown by light blue pixels of approximately 30m in size) due to heavy rainfall. Preliminary validation was conducted using news reports. This map should be used as a guide to identify areas that are likely flooded, and may be less reliable over urban and vegetated areas. This product contains modified Copernicus Sentinel data (2025), processed by ESA and analyzed by the Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS). **More map details and files:** **More map details and files:** **Legal Disclaimer:** **Credits:** Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS), Contains modified Copernicus Sentinel data (2025)

# EOS-RS Flood Proxy Map: Northern Luzon, Philippines, Floods, 24 Sep 2025, v0.9 The Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS) created this preliminary Flood Proxy Map (FPM) depicting areas that are likely flooded in Northern Luzon, Philippines, due to typhoon Ragasa. This map was derived from synthetic aperture radar (SAR) images acquired by the Copernicus Sentinel-1 satellite operated by the European Space Agency (ESA) before (21 Apr 2025 to 12 Sep 2025) and after (24 Sep 2025) the event. The map covers an area indicated by the white polygon. The preliminary map shows areas which are likely flooded (shown by light blue pixels of approximately 30m in size) due to heavy rainfall. Preliminary validation was conducted using news reports and satellite imagery in selected areas. This map should be used as a guide to identify areas that are likely flooded, and may be less reliable over urban and vegetated areas. This product contains modified Copernicus Sentinel data (2025), processed by ESA and analyzed by the Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS). **More map details and files:** **More map details and files:** **Legal Disclaimer:** **Credits:** Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS), Contains modified Copernicus Sentinel data (2025)

# EOS-RS Flood Proxy Map: Negros, Philippines, Floods, 18 July 2025, v0.9 The Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS) created this preliminary Flood Proxy Map (FPM) depicting areas that are likely flooded Negros, Philippines, due to heavy rainfall. This map was derived from synthetic aperture radar (SAR) images acquired by the Copernicus Sentinel-1 satellite operated by the European Space Agency (ESA) before (09 Oct 2024 to 12 Jul 2025) and after (18 Jul 2025) the event. The map covers an area indicated by the white polygon. The preliminary map shows areas which are likely flooded (shown by light blue pixels of approximately 30m in size) due to heavy rainfall. Preliminary validation was conducted using news reports and ground level imagery in selected areas. This map should be used as a guide to identify areas that are likely flooded, and may be less reliable over urban and vegetated areas. This product contains modified Copernicus Sentinel data (2024-2025), processed by ESA and analyzed by the Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS). **More map details and files:** **More map details and files:** **Legal Disclaimer:** **Credits:** Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS), Contains modified Copernicus Sentinel data (2024-2025)

# EOS-RS Flood Proxy Map: Luzon, Philippines, Floods, 23 July 2025, v0.9 The Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS) created this preliminary Flood Proxy Map (FPM) depicting areas that are likely flooded in Luzon, Philippines, due to tropical storm Wipha. This map was derived from synthetic aperture radar (SAR) images acquired by the Copernicus Sentinel-1 satellite operated by the European Space Agency (ESA) before (13 Dec 2024 to 17 Jul 2025) and after (23 Jul 2025) the event. The map covers an area indicated by the white polygon. The preliminary map shows areas which are likely flooded (shown by light blue pixels of approximately 30m in size) due to heavy rainfall. Preliminary validation was conducted using news reports, ground level and satellite imagery in selected areas. This map should be used as a guide to identify areas that are likely flooded, and may be less reliable over urban and vegetated areas. This product contains modified Copernicus Sentinel data (2024-2025), processed by ESA and analyzed by the Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS). **More map details and files:** **More map details and files:** **Legal Disclaimer:** **Credits:** Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS), Contains modified Copernicus Sentinel data (2024-2025)

# Philippines Typhoons Toraji Usagi Man-yi: Damage and Flood Proxy Maps, Nov 2024 The **Earth Observatory of Singapore – Remote Sensing Lab (EOS-RS)** produced these damage and flood proxy maps for Philippines Typhoons Toraji Usagi Man-yi (Nov 2024) from synthetic aperture radar (SAR) satellite images. Each map is a separate ZIP below with its GeoTIFF, a KMZ for Google Earth, the PNG figures and a text file describing how it was made and how to read it. ## Maps in this dataset - **EOS-RS Damage Proxy Map: Isabela Province, Philippines, Typhoons Toraji, Usagi & Man-yi, 19 Nov 2024, v0.9** - **EOS-RS Flood Proxy Map: Isabela Province, Philippines, Floods from Typhoons Toraji, Usagi & Man-yi, 19 Nov 2024, v0.9** **More map details and files:** **More map details and files:** **Legal Disclaimer:** **Credits:** Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS), Contains modified Copernicus Sentinel data (2024)

# EOS-RS Flood Proxy Map: Cagayan, Philippines, Typhoon Yinxing Floods, 7 Nov 2024, v0.9 The Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS) created this preliminary Flood Proxy Map (FPM) depicting areas that are likely flooded in Cagayan, Philippines due to heavy rainfall from Typhoon Yinxing on 7 Nov 2024. This map was derived from synthetic aperture radar (SAR) images acquired by the Copernicus Sentinel-1 satellite operated by the European Space Agency (ESA) before (17 Feb 2024 to 11 May 2024) and during (7 Nov 2024) the event. The map covers an area indicated by the white polygon. The preliminary map shows areas which are likely flooded (shown by light blue pixels of approximately 30m in size) due to the heavy rainfall from Typhoon Yinxing. Preliminary validation was conducted using news reports, aerial imagery, and ground-level imagery and videos in selected areas. This map should be used as a guide to identify areas that are likely flooded, and may be less reliable over urban and vegetated areas. This product contains modified Copernicus Sentinel data (2024), processed by ESA and analyzed by the Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS). **More map details and files:** **More map details and files:** **Legal Disclaimer:** **Credits:** Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS), Contains modified Copernicus Sentinel data (2024)

# EOS-RS Flood Proxy Map: Philippines, Floods, 22 July 2024, v0.9 The Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS) created this preliminary Flood Proxy Map (FPM) depicting areas that are likely flooded in Cagayan, Philippines due to heavy rainfall from Typhoon Carina (Gaemi). This map was derived from synthetic aperture radar (SAR) images acquired by the Copernicus Sentinel-1 satellite operated by the European Space Agency (ESA) before (01 Nov 2023 to 10 Jul 2024) and during (22 Jul 2024) the event. The map covers an area indicated by the white polygon. The preliminary map shows areas which are likely flooded (shown by light blue pixels of approximately 30m in size) in Cagayan, Philippines due to heavy rainfall from Typhoon Carina (Gaemi). Preliminary validation was conducted using news reports, images, and videos of flooding in selected areas. This map should be used as a guide to identify areas that are likely flooded, and may be less reliable over urban and vegetated areas. The product contains modified Copernicus Sentinel data (2023-2024), processed by ESA and analyzed by the Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS). **More map details and files:** **More map details and files:** **Legal Disclaimer:** **Credits:** Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS), Contains modified Copernicus Sentinel data (2023-2024)

# EOS-RS Flood Proxy Map: Philippines Typhoon Doksuri, 28 Jul 2023, v0.5 The Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS) created this preliminary Flood Proxy Map (FPM) depicting areas that are likely flooded in Philippines due to Typhoon Doksuri. This map was derived from synthetic aperture radar (SAR) images acquired by the Copernicus Sentinel-1 satellite operated by the European Space Agency (ESA) before (16 Jul 2023) and after (28 Jul 2023) the event. The image covers an area indicated by the white polygon. Each light blue pixel measures about 30 meters across. Preliminary validation was done in selected areas by comparing with media reports. This map should be used as a guide to identify areas that are likely flooded, and is less reliable over urban and vegetated areas. The product contains modified Copernicus Sentinel data (2023), processed by ESA and analyzed by the Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS), using the Advanced Rapid Imaging and Analysis (ARIA) system originally developed at NASA's Jet Propulsion Laboratory, California Institute of Technology, and modified at EOS-RS. Data processing used an AWS Open Dataset of Copernicus Sentinel-1 data for the Asia region. **More map details and files:** **More map details and files:** **Credits:** Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS), Advanced Rapid Imaging and Analysis (ARIA), NASA-JPL/Caltech, Contains modified Copernicus Sentinel data (2023)

# EOS-RS Flood Proxy Map: Philippines, Storm Nalgae (Paeng), 27 Oct 2022, v0.4 The Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS) created this preliminary Flood Proxy Map (FPM) depicting areas that are likely flooded in Mindanao, Philippines due to heavy rains brought about by Tropical Storm Nalgae (Paeng). This map was derived from synthetic aperture radar (SAR) images acquired by the Copernicus Sentinel-1 satellites operated by the European Space Agency (ESA) before (15 Oct 2022) and during (27 Oct 2022) the event. The image covers an area indicated by the large white polygon. Each light blue pixel measures about 30m across. Preliminary validation was done by comparing with media reports. This flood proxy map should be used as a guide to identify areas that are likely flooded, and is less reliable over urban and vegetated areas. The product contains modified Copernicus Sentinel data (2022), processed by ESA and analyzed by the Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS), using the Advanced Rapid Imaging and Analysis (ARIA) system originally developed at NASA's Jet Propulsion Laboratory, California Institute of Technology, and modified at EOS-RS. **More map details and files:** **More map details and files:** **Credits:** Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS), Advanced Rapid Imaging and Analysis (ARIA), NASA-JPL/Caltech, Contains modified Copernicus Sentinel data (2022)

# EOS-RS Flood Proxy Map: Philippines, Typhoon Noru, 27 Sep 2022, v0.5 The Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS) created this preliminary Flood Proxy Map (FPM) depicting areas that are likely flooded in Luzon, Philippines due to Typhoon Noru (Karding) which made landfall on 25 Sep 2022. This map was derived from synthetic aperture radar (SAR) images acquired by the ALOS-2 satellites operated by the Japan Aerospace Exploration Agency (JAXA) before (17 Mar 2020) and during (27 Sep 2022) the event. The image covers an area indicated by the large white polygon. Each light blue pixel measures about 25 meters across. Preliminary validation was done in selected areas using optical imagery. This flood proxy map should be used as a guide to identify areas that are likely flooded, and is less reliable over urban and vegetated areas. Data were provided by Sentinel Asia and analyzed by the Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS). **More map details and files:** **More map details and files:** **Credits:** Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS), Original data ALOS-2 PALSAR-2 Product - JAXA (2020-2022)

# Philippines Cyclone Agaton: Damage and Flood Proxy Maps, Apr 2022 The **Earth Observatory of Singapore – Remote Sensing Lab (EOS-RS)** produced these damage and flood proxy maps for Philippines Cyclone Agaton (Apr 2022) from synthetic aperture radar (SAR) satellite images. Each map is a separate ZIP below with its GeoTIFF, a KMZ for Google Earth, the PNG figures and a text file describing how it was made and how to read it. ## Maps in this dataset - **EOS-RS Damage Proxy Map: Philippines, Bagyong Agaton (Megi), Abril 2022, v0.4 wbd** - **EOS-RS Damage Proxy Map: Philippines, Bagyong Agaton (Megi), Abril 2022, v0.4** (superseded) - **EOS-RS Flood Proxy Map: Philippines, Bagyong Agaton (Megi), Abril 2022, v0.4** **More map details and files:**

# Philippines Typhoon Odette: Damage and Flood Proxy Maps, Dec 2021 The **Earth Observatory of Singapore – Remote Sensing Lab (EOS-RS)** produced these damage and flood proxy maps for Philippines Typhoon Odette (Dec 2021) from synthetic aperture radar (SAR) satellite images. Each map is a separate ZIP below with its GeoTIFF, a KMZ for Google Earth, the PNG figures and a text file describing how it was made and how to read it. ## Maps in this dataset - **EOS-RS Damage Proxy Map: Philippines, Typhoon Odette, Dec 2021, v0.9 wbd** - **EOS-RS Damage Proxy Map: Philippines, Typhoon Odette, Dec 2021, v0.9** (superseded) - **EOS-RS Damage Proxy Map: Philippines, Typhoon Odette, Dec 2021, v0.5 wbd** (superseded) - **EOS-RS Damage Proxy Map: Philippines, Typhoon Odette, Dec 2021, v0.5** (superseded) - **EOS-RS Damage Proxy Map: Philippines, Typhoon Odette, Dec 2021, v0.9 wbd** (superseded) - **EOS-RS Damage Proxy Map: Philippines, Typhoon Odette, Dec 2021, v0.9** (superseded) - **EOS-RS Damage Proxy Map: Philippines, Typhoon Odette, Dec 2021, v0.9 wbd** (superseded) - **EOS-RS Damage Proxy Map: Philippines, Typhoon Odette, Dec 2021, v0.9** - **EOS-RS Damage Proxy Map: Philippines, Typhoon Odette, Dec 2021, v0.5 wbd** (superseded) - **EOS-RS Damage Proxy Map: Philippines, Typhoon Odette, Dec 2021, v0.5** (superseded) - **EOS-RS Damage Proxy Map: Philippines, Typhoon Odette, Dec 2021, v0.4 wbd** - **EOS-RS Damage Proxy Map: Philippines, Typhoon Odette, Dec 2021, v0.4** (superseded) - **EOS-RS Flood Proxy Map: Philippines, Typhoon Odette, Dec 2021, v0.3** - **EOS-RS Flood Proxy Map: Philippines, Typhoon Odette, Dec 2021, v0.35** - **EOS-RS Flood Proxy Map: Philippines, Typhoon Odette, Dec 2021, v0.3** (superseded) **More map details and files:** **More map details and files:**

# Philippines Typhoon Goni: Damage Proxy Maps, Nov 2020 The Advanced Rapid Imaging and Analysis (ARIA) team at NASA's Jet Propulsion Laboratory and Caltech, in collaboration with the Earth Observatory of Singapore (EOS), produced these damage proxy maps for Philippines Typhoon Goni (Nov 2020) from synthetic aperture radar (SAR) satellite images. Each map is a separate ZIP below with its GeoTIFF, a KMZ for Google Earth, the PNG figures and a text file describing how it was made and how to read it. ## Maps in this dataset - **ARIA-SG Damage Proxy Map: Philippines, Typhoon Goni, 1 Nov 2020, v0.8** - **ARIA-SG Damage Proxy Map: Philippines, Typhoon Goni, 1 Nov 2020, v0.4 ** - **ARIA-SG Damage Proxy Map: Philippines, Typhoon Goni, 1 Nov 2020, v0.4 ** (superseded) **More map details and files:**

# ARIA-SG Damage Proxy Map: Philippines Taal Volcano Eruption, 15 Jan 2020, v1.0 Derived from synthetic aperture radar data acquired by the Copernicus Sentinel-1 satellites operated by the European Space Agency (ESA) before (9 Jan) and after (15 Jan) the onset of the event. Analysed by the ARIA-SG team at the Earth Observatory of Singapore (EOS) in collaboration with NASA-JPL and Caltech. Data processing used an AWS Open Dataset of Copernicus Sentinel-1 data for the Asia region (https://registry.opendata.aws/sentinel1-slc-seasia-pds). **More map details and files:**

# ARIA-SG Flood Proxy Map: Philippines, Typhoon Tisoy, 7 Dec 2019, v0.1 Derived from synthetic aperture radar data acquired by the Copernicus Sentinel-1 satellites operated by the European Space Agency (ESA) before (23 Apr) and during (7 Dec) the event. Analysed by the ARIA-SG team at the Earth Observatory of Singapore (EOS) in collaboration with NASA-JPL and Caltech. Data processing used an AWS Open Dataset of Copernicus Sentinel-1 data for the Asia region (https://registry.opendata.aws/sentinel1-slc-seasia-pds). **More map details and files:**

# EOS-RS Damage Proxy Map: Philippines, Taal Volcanic Eruption, 12 October 2026, v1.1 The Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS) created this preliminary Damage Proxy Map (DPM) depicting areas that are likely damaged in Batangas, Philippines, due to a volcanic eruption from the Taal volcano on 08 October 2026. This map was derived from synthetic aperture radar (SAR) images acquired by the Copernicus Sentinel-1 satellite operated by the European Space Agency (ESA) before (01 June 2026 to 17 September 2026) and after (11 October 2026) the event. The map covers an area indicated by the white polygon. Damage is shown by colored pixels of 30m in size, where yellow to red indicates increasingly significant ground surface change before and after the event. Preliminary validation was conducted using news reports in selected areas. This map should be used as a guidance to identify damaged areas, and may be less reliable over vegetated or mountainous areas. Scattered pixels over vegetated or mountainous areas may be false positives, and a lack of colored pixels over such areas may not mean no damage. This product contains modified Copernicus Sentinel data (2026), processed by ESA and analyzed by the Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS). **More map details and files:** **Legal Disclaimer:** **Credits:** Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS), Contains modified Copernicus Sentinel data (2026)

GLIDEnumbers are GLobal unique IDEntifiers for Disasters. Each disaster is registered in a record that contains a GLIDEnumber that uniquely identifies it and allows information to be interoperable across multiple disaster information sources, both structured and textual. Accessing disaster information can be a time consuming and laborious task. Not only is data scattered but frequently identification of the disaster can be confusing in countries with many disaster events and across borders. To address both of these issues, Asian Disaster Reduction Center (ADRC) proposed a globally common Unique ID code for disasters. Among the institutions using actively GLIDEnumbers are UN-OCHA (ReliefWeb, FSCC, HDX), UNDRR, UNDP, WMO, IFRC, FAO, the European Commission and the Centre for Research on the Epidemiology of Disasters (CRED), among many others. Country datasets are only produced for countries with at least one GLIDE event since 1 January 2022. The global dataset contains all events available from the GLIDE API, including those not assigned to a country.

Archive of Global Tropical Cyclone Tracks Tracks from 1980 to May 2019. Data provided by NOAA International Best Track Archive for Climate Stewardship (IBTrACS). Original data and metadata are available here (https://www.ncdc.noaa.gov/ibtracs/index.php?name=ib-v4-access). For data updates after May 2019, please visit the ncdc website.

Database of Global Landslide Catalog from NASA collected from 1970 - 2019. It was generated using news feeds and is mostly capturing rain-induced landslide events. More information on metadata and original update source here: https://catalog.data.gov/dataset/global-landslide-catalog-export

A cyclone (category 4) during the period Aug 23 2023-Aug 29 2023 in Philippines. It impacted 3624 people.

**UNOSAT code TC20221028PHL, GDACS Id: 1000942** This map illustrates satellite-detected surface waters in Cabuyao City and City of Calamba, Laguna Province, Region IV-A, Philippines as observed from a Kanopus-V image acquired 5 November 2022 at 11:12 local time. Within the analysis extent of about 2,200 hectares, approximately 120 hectares of land appear to be flooded. Based on Worldpop population data and the detected surface waters within the analysis extent, approximately 4,400 people are potentially exposed to or living close to flooded areas along with 256 structures and a port potentially affected by flooding. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).

**UNOSAT code: TC20211216PHL** A category 5 Tropical Cyclone RAI-21 struck the Philippines on the 16th of December 2021, causing damage, devastation, and destruction. The Tropical Cyclone RAI-21 made landfall north of General Luna city on Siargao Island, the easternmost island of the Philippines, and continued westward through the central part of the country. The Philippines National Disaster Risk Reduction and Management Council (NDRRMC) has stated that 2,182,791 families have been affected in 11 out of 17 regions of the Philippines. About 3M people, ~ 30% of the affected area population – need emergency humanitarian assistance. According to OCHA, the death toll has reached 177 persons, with more than 275 persons injured and 630,000 displaced. More than 159,000 houses have been damaged, 61,900 have been destroyed. These figures are likely to rise as the after-effects of the Tropical Cyclone are fully realized. Preliminary assessment has shown devastating damage to houses, roads, and bridges disrupting aid movement into the affected areas. This report summarizes satellite-derived building damage analysis covering the most affected areas within Region IV-B (Mimaropa), Region VII (Central Visayas), Region VIII (Eastern Visayas), and Region XIII (Caraga) of the Philippines.

**UNOSAT code: TC20201101PHL** This map illustrates floodwater depth in Nabua and Baao Municipalities, Camarines Sur Provinces & Bato and Libon, Albay Province, Bicol Region (Region V) of Philippines based on surface waters observed from a Sentinel-1 image acquired on 1st of November 2020 and digital elevation model data with the floodwater depth estimation tool (FwDET). This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT. Important Note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.

This dataset shows the actual extent of flooding in the Philippines caused by typhoons or tropical cyclones as of August 05, 2022, as observed through available satellite imagery. The dataset can be used to track the progression of floods over time, identify areas at risk, and assess the impact of these natural disasters on infrastructure, agriculture, and local populations.

This dataset shows the actual extent of flooding in the Philippines caused by typhoons or tropical cyclones as of August 24, 2022, as observed through available satellite imagery. The dataset can be used to track the progression of floods over time, identify areas at risk, and assess the impact of these natural disasters on infrastructure, agriculture, and local populations.