Guam environment data

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.

This dataset is experimental and should only be used for situational awareness and data corroboration. Derived luminosity loss maps are processed data based off Black Marble BRDF nighttime light observations. This data may be used as a proxy for power loss. The original BRDF data is available at: https://gis.earthdata.nasa.gov/portal/home/item.html?id=62cf0b48eeb744e0a9ced76f6326a03c Dates of Image: Post-Event: April 18, 2026; April 19, 2026 Pre-Event: March 2026 Methodology: Only a subset of the raw black marble data was used. Note that while the Disasters team has clipped data to remove false positives, some observations may be obscured by total or partial cloud cover. Other factors such as snow reflectance, moon phase, wildfires, and wildfire smoke may distort light radiance and require further analysis when assessing power outages. Certain areas were filtered out into an “Analyzed areas” map, which shows subsets of counties that were retained after certain data extents were removed: Baseline (March 2026) data with low radiance ( Cloud cover from the date of interest (in this example, September 29th) is removed from the county geometry. Counties are only included within the bounding box of the Black Marble data that was provided. Once the extent was finalized, the Black Marble Data was modified: Negative out-of-range values were changed to 0. The revised black marble pixels were extracted to the analyzed area geometry: The difference between pre and post-event total light intensity in each county was calculated to measure percent light intensity loss. This is indicated in popups as Light Intensity Loss (percentage). The percentage of analyzed area (with area omitted due to being background in the baseline or cloud-covered in the day of Black Marble) is also available in the attribute table. Lower values may reflect lower confidence in the percent Luminosity Loss depending on where the cloud cover is, especially in circumstances where the primary light source in a given geometry is obfuscated. Suggested Use: NASA's Black Marble Nighttime Light product suite is a state-of-the-art daily global collection of standard products for monitoring nighttime lights (NTL). Utilizing the Visible Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB) aboard the Suomi-NPP, NOAA-20, and NOAA-21 satellites. Grey represents cloud cover. Note that these maps are experimental and subject to change and development and should be used only for situational awareness. Satellite/Sensor: Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB) onboard the Suomi National Polar-orbiting Platform (SNPP), NOAA-20, and NOAA-21 SNPP: August 2024 composite, September 22-24, 2024, October 1, 2024 NOAA-20: September 25 - September 31, 2024, October 2, 2024 - October 4, 2024 Resolution: 500 meters Credits: NASA Black Marble Science team Disasters Response Coordination System Please cite the following two references when using this data: Román MO, Stokes EC, Shrestha R, Wang Z, Schultz L, Carlo EA, Sun Q, Bell J, Molthan A, Kalb V, Ji C. Satellite-based assessment of electricity restoration efforts in Puerto Rico after Hurricane Maria. PloS one. 2019 Jun 28;14(6):e0218883. Román MO, Wang Z, Sun Q, Kalb V, Miller SD, Molthan A, Schultz L, Bell J, Stokes EC, Pandey B, Seto KC. NASA's Black Marble nighttime lights product suite. Remote Sensing of Environment. 2018 Jun 1;210:113-43. Point of Contact: Ranjay Shrestha NASA Goddard Space Flight Center E-mail: ranjay.m.shrestha@nasa.gov Additional Links: NASA’s Black Marble Product Suite Román, M.O. et al. (2019) Satellite-based assessment of electricity restoration efforts in Puerto Rico after Hurricane Maria. PLoS One, 14 (6). Román, M.O. et al. (2018) NASA’s Black Marble nighttime lights product suite. Remote Sensing of Environment. 210, 113–143. Esri REST Endpoint: See Layers below. WMS Endpoint: https://gis.earthdata.nasa.gov/gis05/services/DISASTERS_202606_TYPHON_SINLAKU/BM_PowerLossProxy/MapServer/WMSServer

This dataset is experimental and should only be used for situational awareness and data corroboration. Derived luminosity loss maps are processed data based off Black Marble BRDF nighttime light observations. This data may be used as a proxy for power loss. The original BRDF data is available at: https://gis.earthdata.nasa.gov/portal/home/item.html?id=62cf0b48eeb744e0a9ced76f6326a03c Dates of Image: Post-Event: April 18, 2026; April 19, 2026 Pre-Event: March 2026 Methodology: Only a subset of the raw black marble data was used. Note that while the Disasters team has clipped data to remove false positives, some observations may be obscured by total or partial cloud cover. Other factors such as snow reflectance, moon phase, wildfires, and wildfire smoke may distort light radiance and require further analysis when assessing power outages. Certain areas were filtered out into an “Analyzed areas” map, which shows subsets of counties that were retained after certain data extents were removed: Baseline (March 2026) data with low radiance ( Cloud cover from the date of interest (in this example, September 29th) is removed from the county geometry. Counties are only included within the bounding box of the Black Marble data that was provided. Once the extent was finalized, the Black Marble Data was modified: Negative out-of-range values were changed to 0. The revised black marble pixels were extracted to the analyzed area geometry: The difference between pre and post-event total light intensity in each county was calculated to measure percent light intensity loss. This is indicated in popups as Light Intensity Loss (percentage). The percentage of analyzed area (with area omitted due to being background in the baseline or cloud-covered in the day of Black Marble) is also available in the attribute table. Lower values may reflect lower confidence in the percent Luminosity Loss depending on where the cloud cover is, especially in circumstances where the primary light source in a given geometry is obfuscated. Suggested Use: NASA's Black Marble Nighttime Light product suite is a state-of-the-art daily global collection of standard products for monitoring nighttime lights (NTL). Utilizing the Visible Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB) aboard the Suomi-NPP, NOAA-20, and NOAA-21 satellites. Grey represents cloud cover. Note that these maps are experimental and subject to change and development and should be used only for situational awareness. Satellite/Sensor: Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB) onboard the Suomi National Polar-orbiting Platform (SNPP), NOAA-20, and NOAA-21 SNPP: August 2024 composite, September 22-24, 2024, October 1, 2024 NOAA-20: September 25 - September 31, 2024, October 2, 2024 - October 4, 2024 Resolution: 500 meters Credits: NASA Black Marble Science team Disasters Response Coordination System Please cite the following two references when using this data: Román MO, Stokes EC, Shrestha R, Wang Z, Schultz L, Carlo EA, Sun Q, Bell J, Molthan A, Kalb V, Ji C. Satellite-based assessment of electricity restoration efforts in Puerto Rico after Hurricane Maria. PloS one. 2019 Jun 28;14(6):e0218883. Román MO, Wang Z, Sun Q, Kalb V, Miller SD, Molthan A, Schultz L, Bell J, Stokes EC, Pandey B, Seto KC. NASA's Black Marble nighttime lights product suite. Remote Sensing of Environment. 2018 Jun 1;210:113-43. Point of Contact: Ranjay Shrestha NASA Goddard Space Flight Center E-mail: ranjay.m.shrestha@nasa.gov Additional Links: NASA’s Black Marble Product Suite Román, M.O. et al. (2019) Satellite-based assessment of electricity restoration efforts in Puerto Rico after Hurricane Maria. PLoS One, 14 (6). Román, M.O. et al. (2018) NASA’s Black Marble nighttime lights product suite. Remote Sensing of Environment. 210, 113–143. Esri REST Endpoint: See Layers below. WMS Endpoint: https://gis.earthdata.nasa.gov/portal/services/DISASTERS_202606_TYPHON_SINLAKU/BM_PowerLossProxy/MapServer/WMSServer

A cyclone (tropical storm) during the period May 20 2023-Jun 03 2023 in Guam. It impacted 171500 people.