Jamaica environment data

# Jamaica Hurricane Melissa: Damage and Flood Proxy Maps, Oct 2025 The **Earth Observatory of Singapore – Remote Sensing Lab (EOS-RS)** produced these damage and flood proxy maps for Jamaica Hurricane Melissa (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: Jamaica, Hurricane Melissa, 29 October 2025, v0.9 ** - **EOS-RS Flood Proxy Map: Jamaica, Hurricane Melissa, 29 October 2025, 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 (2025)

# Jamaica Hurricane Beryl: Damage Proxy Maps, Jul 2024 The **Earth Observatory of Singapore – Remote Sensing Lab (EOS-RS)** produced these damage proxy maps for Jamaica Hurricane Beryl (Jul 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 ## Maps in this dataset - ** wbd** (superseded) - ** wbd** (superseded) - **EOS-RS_20240706_DPM_S1_Jamaica_Hurricane_Beryl_v0.9_cvd** - **EOS-RS_20240706_DPM_S1_Jamaica_Hurricane_Beryl_v0.9** **More map details and files:** **Legal Disclaimer:** **Credits:** Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS), Contains modified Copernicus Sentinel Data (2024)

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=654bc62d78fc4704923369a00a635937 Dates of Image: Pre-Event: September 2025 Post-Event: October 30, 2025-November 2, 2025; November 4, 2025; November 7, 2025; November 8, 2025; November 9, 2025 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 (August 2024) 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 URL to the right. WMS Endpoint: https://gis.earthdata.nasa.gov/portal/services/DISASTERS_202510_HURRICANE_MELISSA/BM_PowerLossProxy/MapServer/WMSServer

**ADAM ID: 1001067\_27** Cyclone (category 1) during the period Jun 28 2024-Jul 06 2024 in Haiti, Grenada, Jamaica, Trinidad and Tobago, Saint Vincent and the Grenadines, Mexico, Belize, United States. It impacted 0 people.