Syrian Arab Republic environment data

Date of Images: 2/4/2023, 2/5/2023, 2/9/2023, 2/10/2023, 2/16/2023, 2/17/2023 Date of Next Image: None Expected Summary: The Alaska Satellite Facility has developed water extent images using the Sentinel-1A/B Synthetic Aperture Radar (SAR) instrument. These images can be used to see where water is located at the time of the satellite overpass. This product shows all water detected and does not differentiate between normal water and flood water. To determine where flooding may have occurred, combine this layer with a reference water layer. Additional SAR Information Suggested Use: This product shows all water detected and does not differentiate between normal water and flood water. To determine where flooding may have occurred, combine this layer with a reference water layer. Satellite/Sensor: Synthetic Aperture Radar on European Space Agency's (ESA) Copernicus Sentinel-1A satellite Resolution: 30 meters Credits: Sentinel data used in this derived product, contains modified Copernicus Sentinel data (2023), processed by ESA, Alaska Satellite Facility, NASA MSFC Service URL: https://gis.earthdata.nasa.gov/portal/home/item.html?id=c9225c80d734497a8a8509383feb65b8 WMS Endpoint: https://gis.earthdata.nasa.gov/portal/services/DISASTERS_202302_EARTHQUAKE_TURKIYE/2302_sentinel1_water/ImageServer/WMSServer

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.

Using 10m resolution multispectral imagery from the Sentinel-2A satellite, a relativized burn ratio (RBR) was calculated and used for burned land classification to assess and quantify areas which have been burned between 4 May and 30 June 2019 in the governorates of Al-Hasakeh, Deir-ez-Zor, Ar-Raqqa, Aleppo, Idleb and Northern Hama. The before and after images are composites ranging from 6 April to 3 May 2019 and 27 to 30 June 2019.

**UNOSAT code: FR20250707SYR, GDACS ID: 1024188** This map illustrates satellite-detected burned areas in Qastal Maaf Subdistrict, Latakia Governorate, Syria based on Planet Scope image acquired on 4 July 2025 at 11:43 local time. Within the analyzed area of about 30 km², about 4 km² of lands appear to be potentially burned. Based on WorldPop population data and the extent of burned areas (within 1 km), approximately 900 people are potentially exposed or living in close to burned areas. In addition, about 500 buildings are located within 1 km of the burned zones, which may also be at risk or affected. 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: FR20250707SYR, GDACS ID: 1024188** This map illustrates satellite-detected burned areas in Qastal Maaf, Rabee'a, and Kasab Sub-districts, Latakia Governorate, Syria, based on Pleiades imagery acquired on 8 July 2025 at 11:48 local time. Within the analyzed area of approximately 700 km², around 100 km² of land appears to be potentially burned. Based on WorldPop population data and the extent of the burned areas, an estimated 5,500 people are potentially exposed or living in close proximity to the affected zones. In addition, approximately 2,400 buildings were potentially exposed to fires. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).