Philippines GIS data

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**UNOSAT code: TC20201111PHL** This map illustrates satellite-detected surface waters in Albay and Camarines Sur provinces of Philippines as observed from a Sentinel-1 image acquired on 12 November 2020 at 05:38 local time. Within the analyzed area of about 5,000 km2, a total of about 250 km2 of lands appear to be flooded. The water extent appears to have increased of about 130 km2 since 6 November 2020. Based on Worldpop population data and the detected surface waters, about 170,000 people are potentially exposed or living close to flooded areas. 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.

**ADAM ID: **sm\_us6000tadc Magnitude 5.8 earthquake at 35.0 depth occurred on Jul 06 2026 48km S of Sarangani. The epicentre of the earthquake was located at latitude 4.9886 longitude 125.326. It impacted 26037 people within 50km. WFP’s Automated Disaster Analysis and Mapping (ADAM) system is an operational system for collecting, analysing and mapping geospatial and socio-economic information following sudden onset humanitarian emergencies.

**UNOSAT code: TC20211216PHL** This map illustrates potentially damaged structures/buildings in Bucas Grande Island, Socorro, Surigao del Norte of Philippines as detected by WorldView-3 image acquired on 17 December 2021. Within the analyzed area, UNOSAT has identified 351 damaged structures, 129 potentially damaged structures, 5 road obstacles and 1 destroyed bridge. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).

**ADAM ID: **sm\_us7000szq0 Magnitude 5.4 earthquake at 57.099 depth occurred on Jul 11 2026 43km S of Sarangani. The epicentre of the earthquake was located at latitude 5.0334 longitude 125.4897. It impacted 34058 people within 50km. WFP’s Automated Disaster Analysis and Mapping (ADAM) system is an operational system for collecting, analysing and mapping geospatial and socio-economic information following sudden onset humanitarian emergencies.

This dataset shows the actual extent of flooding in the Philippines caused by typhoons or tropical cyclones as of June 13, 2026, 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 July 10, 2026, 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 July 11, 2026, 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.

**ADAM ID: **sm\_us7000szyr Magnitude 5.4 earthquake at 10.0 depth occurred on Jul 13 2026 26km SW of Claveria. The epicentre of the earthquake was located at latitude 12.7858 longitude 123.043. It impacted 130952 people within 50km. WFP’s Automated Disaster Analysis and Mapping (ADAM) system is an operational system for collecting, analysing and mapping geospatial and socio-economic information following sudden onset humanitarian emergencies.

**ADAM ID: **sm\_us7000t0d0 Magnitude 6.2 earthquake at 67.854 depth occurred on Jul 14 2026 30km W of Sarangani. The epicentre of the earthquake was located at latitude 5.3269 longitude 125.1655. It impacted 92971 people within 50km. WFP’s Automated Disaster Analysis and Mapping (ADAM) system is an operational system for collecting, analysing and mapping geospatial and socio-economic information following sudden onset humanitarian emergencies.

**ADAM ID: 1001032\_4** Cyclone (tropical depression) during the period Nov 12 2023-Nov 13 2023 in . It impacted 0 people.

This dataset shows the actual extent of flooding in the Philippines caused by typhoons or tropical cyclones as of July 12, 2026, 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.

**ADAM ID: **sm\_us6000tgpr Magnitude 5.4 earthquake at 46.281 depth occurred on Jul 29 2026 48km E of Prieto Diaz. The epicentre of the earthquake was located at latitude 13.1384 longitude 124.6138. It impacted 16811 people within 50km. WFP’s Automated Disaster Analysis and Mapping (ADAM) system is an operational system for collecting, analysing and mapping geospatial and socio-economic information following sudden onset humanitarian emergencies.

This dataset shows the actual extent of flooding in the Philippines caused by typhoons or tropical cyclones as of August 06, 2026, 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 09, 2026, 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.

Philippines administrative level 0-4 boundaries (COD-AB) dataset version 03. This dataset is structured into 4 levels: - Admin 1: 17 - Admin 2: 88 - Admin 3: 1642 - Admin 4: 11920 Dates associated with this dataset: - 01 April 2024: dataset reviewed for accuracy and completeness - 26 March 2018: valid for use by the humanitarian community - 09 February 2018: last edit to the dataset before publishing - 09 February 2018: boundaries created by the source Contributed by OCHA Philippines. Quality assured, configured, and published by OCHA Field Information Services (FIS) and HDX. Part of the dataset: Global Subnational Administrative Boundaries

**ADAM ID: **1001298\_28 Tropical storm during the period Aug 04 2026-Aug 13 2026 in Philippines. The center of the storm was located near latitude 33.8 longitude 170.2. WFP’s Automated Disaster Analysis and Mapping (ADAM) system is an operational system for collecting, analysing and mapping geospatial and socio-economic information following sudden onset humanitarian emergencies.

This dataset shows the actual extent of flooding in the Philippines caused by typhoons or tropical cyclones as of August 13, 2026, 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 July 08, 2025, 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 February 13, 2025, 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 July 19, 2025, 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 July 20, 2025, 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 July 22, 2025, 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 July 18, 2025, 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 July 23, 2025, 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 September 24, 2025, 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 September 23, 2025, 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 November 05, 2025, 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 November 04, 2025, 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 November 10, 2025, 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 November 09, 2025, 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 September 22, 2025, 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.