Philippines GIS data

This dataset shows the actual extent of flooding in the Philippines caused by typhoons or tropical cyclones as of August 04, 2023, 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 03, 2023, 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 30, 2023, 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 31, 2023, 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 29, 2023, 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 24, 2023, 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 17, 2023, 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 January 18, 2023, 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 14, 2024, 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, 2024, 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 16, 2024, 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, 2024, 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 13, 2024, 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 May 26, 2024, 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 26, 2023, 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 October 28, 2024, 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 03, 2024, 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 October 27, 2024, 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 03, 2023, 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 20, 2024, 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 13, 2024, 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 19, 2024, 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, 2024, 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 12, 2024, 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 08, 2024, 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 October 29, 2024, 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 October 24, 2024, 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 October 03, 2024, 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 October 26, 2024, 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.

**UNOSAT code: TC20201101PHL** This map illustrates satellite-detected surface waters in Albay and Camarines Sur provinces of Philippines as observed from a Sentinel-1 image acquired on 6 November 2020 at 05:38 local time. Within the analyzed area of about 5,000 km2, a total of about 120 km2 of lands appear to be flooded. The water extent appears to have receded of about 120 km2 since 1 November 2020. Based on Worldpop population data and the detected surface waters, about 80,000 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.

**UNOSAT code: TC20241028PHL, GDACS ID: 1001115** This map illustrates satellite-detected landslides in Laurel Town, Batangas Province, Region IV-A (Calabarzon), Philippines, as observed from a Sentinel-2 image acquired on 28 October 2024 at 10:17 local time (02:17 UTC). Within the analysed area, about 2 km² of landslide scars /mud flow areas are observed. UNITAR-UNOSAT identified about 450 Potentially damaged structures (6 % from the total buildings in the analysed area) and about 5 km of affected roads. 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).

**UNOSAT code: TC20241028PHL, GDACS ID: 1001115** This map illustrates cumulative detected water using multiple satellites in Camarines Sur Province, Bicol Region, Philippines acquired on 26 October 2024. Within the boundary of Camarines Sur Province of about 5,300 km², a total of about 280 km² of land appears to be affected by flood waters, with around 230 km² of cropland inundated. Based on Worldpop spatial demographic data, about 224,000 people are 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 the United Nations Satellite Centre (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 the backscattering properties of the radar signal.

**UNOSAT code: TC20241028PHL, GDACS ID: 1001115** This map illustrates a satellite-detected surface waters in Camarines Sur Province, Bicol Region, Philippines acquired on 29 October 2024 at 17:58 local time (09:58 UTC). Within the boundary of Camarines Sur Province of about 5,300 km², a total of about 130 km² of land appears to be affected by flood waters, with around 230 km² of cropland inundated. The flood extent has receded by approximately 150 km² since the previous observation on 26 October 2024. Based on Worldpop spatial demographic data, about 93,000 people are 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 the United Nations Satellite Centre (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 the backscattering properties of the radar signal.

**UNOSAT code: TC20241117PHL, GDACS ID: 1001124** This map provides an analysis of structures potentially impacted by Typhoon Man-Yi, utilizing imagery from the Pleiades satellite acquired on 18 and 20 November 2024. Within the defined analysis area, UNOSAT has identified 45 structures as damaged and 37 as potentially damaged. Out of a total of 132 buildings identified within the analysis extent, this represents approximately 50% of buildings as damaged. 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).

**UNOSAT code: TC20241117PHL, GDACS ID: 1001124** This map provides an analysis of structures potentially impacted by Typhoon Man-Yi, utilizing imagery from the Pleiades satellite acquired on 18 and 20 November 2024. Within the defined analysis area, UNOSAT has identified 45 structures as damaged and 37 as potentially damaged. Out of a total of 132 buildings identified within the analysis extent, this represents approximately 62% of buildings as damaged. 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).

**UNOSAT code: TC20241117PHL, GDACS ID: 1001124** This map provides an analysis of structures potentially impacted by Typhoon Man-Yi, utilizing imagery from the Pleiades satellite acquired on 18 and 20 November 2024. Within the defined analysis area, UNOSAT has identified 23 structures as damaged and 82 as potentially damaged. Out of a total of 1,174 buildings identified within the analysis extent, this represents approximately 9% of buildings as damaged. 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).