Philippines GIS data

uav imagery by Help.NGO, acquired 2026-05-21 to 2026-05-21, 3.6 cm per pixel, published on OpenAerialMap.

uav imagery by Help.NGO, acquired 2026-05-23 to 2026-05-23, 3.6 cm per pixel, published on OpenAerialMap.

satellite imagery by Help.NGO, acquired 2025-03-24 to 2025-03-25, 5.0 cm per pixel, published on OpenAerialMap.

uav imagery by Help.NGO, acquired 2026-05-25 to 2026-05-25, 3.9 cm per pixel, published on OpenAerialMap.

uav imagery by WebODM, acquired 2025-12-06 to 2025-12-06, 5.0 cm per pixel, published on OpenAerialMap.

uav imagery by Izaak Gabriel, acquired 2025-10-20 to 2025-10-20, 5.0 cm per pixel, published on OpenAerialMap.

uav imagery by Help.NGO, acquired 2026-05-25 to 2026-05-25, 9.7 cm per pixel, published on OpenAerialMap.

uav imagery by Leigh Lunas, acquired 2026-08-17 to 2026-08-17, 4.0 cm per pixel, published on OpenAerialMap.

satellite imagery by Leonard G. Soriano, acquired 2025-01-04 to 2026-07-04, 5.0 cm per pixel, published on OpenAerialMap.

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/)

This is a standing water (possible inundated/flooded areas) in tarlac, pampanga and parts of pangasinan Philippines due to several typhoons and habagat (July 2018). Data were processed using Sentinel 1A GRD data (July 20, 2018) to map out areas with standing water . Thanks to ESA Copernicus program for the Sentinel 1 data and Google for their cloud computing reource. This was processed in Google Earth Engine. For more detailed information, please contact michael.manalili@wfp.org or michaelandrew.manalili@gmail.com

Generated in Google Earth Engine using Sentinel 1 A data.

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

Open and free data for assessing the human presence on the planet. The Global Human Settlement Layer (GHSL) project produces global spatial information, evidence-based analytics, and knowledge describing the human presence on the planet. The GHSL relies on the design and implementation of spatial data processing technologies that allow automatic data analytics and information extraction from large amounts of heterogeneous geospatial data including global, fine-scale satellite image data streams, census data, and crowd sourced or volunteered geographic information sources. The JRC, together with the Directorate-General for Regional and Urban Policy (DG REGIO) and Directorate-General for Defence Industry and Space (DG DEFIS) are working towards a regular and operational monitoring of global built-up and population based on the processing of Sentinel Earth Observation data produced by European Copernicus space program. In addition, the EU Agency for the Space Programme (EUSPA) undertakes activities related to user uptake of data, information and services.

Thinking Machines Data Science is releasing TM Open Buildings, a dataset of manually-drawn building outlines covering 12 Philippine cities with detailed annotations on building and roof attributes as seen over satellite imagery. We contribute the buildings in OpenStreetMap and also made available for download in Kaggle. This is made possible with the support from the Lacuna Fund.

geoBoundaries ADM1 boundaries for Taiwan: 22 units, representing 2017. Source: OpenStreetMap, Wambacher. Open Data Commons Open Database License 1.0

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)

This dataset shows the list of operating health facilities. Attributes included: Name,Nature of Facility, Activities, Lat, Long

# 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)

# Philippines Earthquake Mindanao: Damage Proxy Maps, Jun 2026 The **Earth Observatory of Singapore – Remote Sensing Lab (EOS-RS)** produced these damage proxy maps for Philippines Earthquake Mindanao (Jun 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 Damage Proxy Map: Mindanao, Philippines, Earthquakes, 16 June 2026, v0.9 ** - **EOS-RS Damage Proxy Map: Mindanao, Philippines, Earthquakes, 13 June 2026, v0.5 ** - **EOS-RS Damage Proxy Map: West Mindanao, Philippines, Earthquakes, 09 June 2026, v0.8 ** **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 Northern Cebu Earthquakes: Damage Proxy Maps, Oct 2025 The **Earth Observatory of Singapore – Remote Sensing Lab (EOS-RS)** produced these damage proxy maps for Philippines Northern Cebu Earthquakes (Oct 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: Northern Cebu, Philippines, Earthquakes, 05 Oct 2025, v0.9 ** - **EOS-RS Damage Proxy Map: Northern Cebu, Philippines, Earthquakes, 02 Oct 2025, v0.5 ** **More map details and files:** **More map details and files:** leaflet/EOS-RS_202510_Philippines_Northern_Cebu_Earthquakes **Legal Disclaimer:** **Credits:** Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS), Contains modified Copernicus Sentinel data (2025)

# EOS-RS Damage Proxy Map: Mindanao, Philippines, Earthquakes, 13 Oct 2025, 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 Mindanao, Philippines, due to the Mw7.4 earthquake on 10 Oct 2025 and its aftershocks. 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 (15 Jun 2025 to 01 Oct 2025) and after (13 Oct 2025) the event. The map covers an area indicated by the white polygon. Damage is shown by colored pixels of approximately 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), 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:** leaflet/EOS-RS_202510_Philippines_Mindanao_Earthquakes **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 Damage Proxy Map: Sampaloc, Talisay, Batangas, Philippines, Landslide, 26 Oct 2024, 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 Barangay Sampaloc of Talisay Municipality in Batangas Province, Philippines following a landslide on 24 Oct 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 (28 Jun 2024 to 14 Oct 2024) and after (26 Oct 2024) 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, aerial imagery, 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. The 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)