Jamaica imagery and land cover data

Dates of Images: Post-Event: 11/3/2025 (Landsat); November 6, 2025; November 4, 2025; November 2, 2025 (Sentinel-2) Pre-Event: 10/2/2025 (Landsat); October 20, 2025 (Sentinel-2) Date of Next Image: Unknown Summary: The True Color RGB composite provides a product of how the surface would look to the naked eye from space. The RGB is created using the red, green, and blue channels of the respective instrument. Suggested Use: The True Color RGB provides a product of how the surface would look to the naked eye from space. The True Color RGB is produced using the 3 visible wavelength bands (red, green, and blue) from the respective sensor. Some minor atmospheric corrections have occurred. Satellite/Sensor: Landsat 9 Operational Land Imager (OLI-2), Landsat 8 (OLI); European Space Agency's (ESA) Copernicus Sentinel-2A/2B satellites' MultiSpectral Instrument (MSI) Resolution: 10 Meters (Sentinel-2); 30 Meters (Landsat) Credits: NASA/MSFC, USGS, ESA Copernicus Esri REST Endpoint: See URL section on right side of page WMS Endpoint: https://gis.earthdata.nasa.gov/portal/services/DISASTERS_202510_HURRICANE_MELISSA/imagery_CloudCover/ImageServer/WMSServer

Dates of Images: Post-Event: 11/3/2025 Pre-Event: 10/2/2025 Date of Next Image: Unknown Summary: The True Color RGB composite provides a product of how the surface would look to the naked eye from space. The RGB is created using the red, green, and blue channels of the respective instrument. Suggested Use: True Color: provides a product of how the surface would look to the naked eye from space. The True Color RGB is produced using the 3 visible wavelength bands (red, green, and blue) from the respective sensor. Some minor atmospheric corrections have occurred. Satellite/Sensor: Landsat 9 Operational Land Imager (OLI), Landsat 8 Resolution: 30 meters Credits: NASA/MSFC, USGS Esri REST Endpoint: See URL section on right side of page WMS Endpoint: https://gis.earthdata.nasa.gov/portal/services/DISASTERS_202510_HURRICANE_MELISSA/landsat/ImageServer/WMSServer

Dates of Images: Post-Event: November 6, 2025; November 4, 2025; November 2, 2025 Pre-event: October 20, 2025 Date of Next Image: Unknown Summary: The True Color RGB composite provides a product of how the surface would look to the naked eye from space. The RGB is created using the red, green, and blue channels of the respective instrument. Suggested Use: The True Color RGB provides a product of how the surface would look to the naked eye from space. The True Color RGB is produced using the 3 visible wavelength bands (red, green, and blue) from the respective sensor. Some minor atmospheric corrections have occurred. Satellite/Sensor: MultiSpectral Instrument (MSI) on European Space Agency's (ESA) Copernicus Sentinel-2A/2B satellites Resolution: 10 Meters Credits: NASA/MSFC, USGS, ESA Copernicus Esri REST Endpoint: See URL section on right side of page WMS Endpoint: https://gis.earthdata.nasa.gov/portal/services/DISASTERS_202510_HURRICANE_MELISSA/202511_sentinel2/ImageServer/WMSServer

uav imagery by Atlas Logistique / UNDAC, acquired 2025-11-18 to 2025-11-19, 2.9 cm per pixel, published on OpenAerialMap.

uav imagery by Atlas Logistique / UNDAC, acquired 2025-11-15 to 2025-11-15, 3.6 cm per pixel, published on OpenAerialMap.

satellite imagery by Vantor, acquired 2025-10-20 to 2025-10-20, 31.4 cm per pixel, published on OpenAerialMap.

satellite imagery by Vantor, acquired 2025-10-23 to 2025-10-23, 31.0 cm per pixel, published on OpenAerialMap.

uav imagery by Atlas Logistique / UNDAC, acquired 2025-11-10 to 2025-11-10, 1.0 cm per pixel, published on OpenAerialMap.

uav imagery by Atlas Logistique / UNDAC, acquired 2025-11-18 to 2025-11-18, 1.9 cm per pixel, published on OpenAerialMap.

uav imagery by JFL / HOT /WeRobotics / Panama Flying Labs, acquired 2025-12-02 to 2025-12-02, 2.4 cm per pixel, published on OpenAerialMap.

satellite imagery by Vantor, acquired 2025-11-03 to 2025-11-03, 30.5 cm per pixel, published on OpenAerialMap.

uav imagery by Atlas Logistique / UNDAC, acquired 2025-11-21 to 2025-11-22, 4.6 cm per pixel, published on OpenAerialMap.

NOTE: Due to the higher resolution of this data, it may be slow to load or require the user to zoom to a smaller area of interest. Date of Images: Post-Event: 10/29/2025, 11/2/2025, 11/3/2025 Pre-Event: 10/19/2025 Date of Next Image: Unknown Summary: The True Color RGB composite provides a product of how the surface would look to the naked eye from space. The RGB is created using the red, green, and blue channels of the respective instrument. Suggested Use: The True Color RGB provides a product of how the surface would look to the naked eye from space and may show damage caused by severe weather. The True Color RGB is produced using the 3 visible wavelength bands (red, green, and blue) from the respective sensor. Some minor atmospheric corrections have occurred. Satellite/Sensor: PlanetScope Resolution: 3 Meters Esri REST Endpoint: See URL section on right side of page

satellite imagery by Atlas Logistique / UNDAC, acquired 2025-11-21 to 2025-11-21, 2.0 cm per pixel, published on OpenAerialMap.

uav imagery by Atlas Logistique / UNDAC, acquired 2025-11-21 to 2025-11-21, 1.6 cm per pixel, published on OpenAerialMap.

Dates of Images: November 4, 2025; November 2, 2025; October 30, 2025 Summary: The Advanced Rapid Imaging and Analysis (ARIA) and Observational Products for End-Users from Remote Sensing Analysis (OPERA) teams at the Jet Propulsion Laboratory, California Institute of Technology created maps of surface disturbance caused by Hurricane Melissa in Jamaica on October 28, 2025 using the OPERA Disturbance Alert from Harmonized Landsat Sentinel-2 (DIST-ALERT-HLS) products. The results posted here are preliminary and unvalidated results, primarily intended to aid the field response and people who wanted to have a rough first look at the surface disturbance. The ARIA-share website has always focused on posting preliminary results as fast as possible for disaster response. All information is provisional for use under emergency response guidelines. These data are provided with absolutely no warranty of any kind. Use at your own risk. OPERA DIST-ALERT-HLS The Disturbance product (DIST) maps per pixel vegetation disturbance (specifically, vegetation cover loss) from the Harmonized Landsat Sentinel-2 (HLS) scenes. We provide the maximum vegetation anomaly value (VEG-ANOM-MAX) layer. All provided layers have been temporally filtered to include only disturbance detected following the start of Hurricane Melissa (starting October 28, 2025). Images are provided as GeoTIFF files. Note: Artifacts caused by clouds and cloud shadows are present in the product. The DIST-HLS product will eventually be updated to address these issues as more cloud-free data becomes available. VEG-ANOM-MAX: Difference between historical and current year observed vegetation cover at the date of maximum decrease (vegetation loss of 0-100%). This layer can be used to threshold vegetation disturbance per a given sensitivity (e.g. disturbance of >=20% vegetation cover loss). The sum of the historical percent vegetation and the anomaly value will be the vegetation cover estimate for the current year. Layer values: 0-100: Maximum loss of percent vegetation (suggested color: white to red gradient) 255: No data (suggested color: transparent) Satellite/Sensor: MultiSpectral Instrument (MSI) on European Space Agency's (ESA) Copernicus Sentinel-2A/B satellites and Operational Land Imager 2 (OLI-2) on NASA's Landsat 8/9 satellite. Resolution: 30 meters The DIST-ALERT-HLS products included here have these flags: 255 represents ''No Data'' and is based on the Fmask layer of the source HLS granule. OPERA DIST-ALERT-HLS data availability: Note: some direct straight lines on the edges of domains or within the data may represent boundaries between satellites or satellite overpasses as this is a hybrid product from multiple distinct assets. The post-processed products are available to download at https://aria-share.jpl.nasa.gov/20251028_Hurricane_Melissa/DIST-HLS/ The OPERA DIST-HLS products have been in production since January 2022, are freely distributed to the public via NASA's Land Processes Distributed Active Archive Center (LP DAAC), and can be downloaded through NASA's Earthdata search. For more information about the Surface Disturbance product suite, please refer to the DIST Product page: https://www.jpl.nasa.gov/go/opera/products/dist-product-suite/ For more information about the GLAD project, visit https://glad.umd.edu/ For more information about the Caltech-JPL ARIA project, visit https://aria.jpl.nasa.gov For more information about the JPL OPERA project, visit https://www.jpl.nasa.gov/go/opera/ Product POCs: Alexander Handwerger (alexander.handwerger@jpl.nasa.gov) Cole Speed (cole.speed@jpl.nasa.gov) Mary Grace Bato (bato@jpl.nasa.gov) Ines Fenni (ines.fenni@jpl.nasa.gov) Credits: The product contains modified Copernicus Sentinel data (2025) and is produced as part of the OPERA project, which is funded by NASA to address remote sensing needs identified by the Satellite Needs Working Group. Managed by NASA's Jet Propulsion Laboratory, OPERA funds and manages the DIST-ALERT-HLS product developed and produced by the Global Land Analysis and Discovery (GLAD) laboratory at the University of Maryland. NASA JPL-Caltech-UMD ARIA/OPERA Team ================== Last Update 06 November 2025

Dates of Images: Post-Event: November 3, 2025 Pre-Event: October 20, 2025 Date of Next Image: Unknown Summary: Normalized Differential Vegetation Index (NDVI) maps are produced by converting pixel values to NDVI = (Red – NIR)/(Red + NIR), NIR indicates the near infrared band. The dynamically generated Normalized Difference Vegetation Index (NDVI) layer is an index for quantifying green vegetation. It reflects the state of vegetation health based on how vegetation reflects light at certain wavelengths. NDVI change was created by subtracting the cloud-masked post-event NDVI from the cloud-masked pre-event NDVI to show areas of potentially impacted vegetation as negative values (darker shades) and healthy/unimpacted vegetation in positive values (lighter shades). NDVI change can give insights to impacts from an event (like the scouring of vegetation from the riverbeds) but can also show changes in unrelated areas like the clearing of agriculture fields. This layer is a binary NDVI change polygon (threshold of areas where NDVI decreased by -0.25 or more) for November 2, 2025 as compared to October 20, 2025. Suggested Use: NDVI change: Commonly used to distinguish healthy/active vegetation (positive values) from potentially unhealthy/impacted vegetation (negative values). This map shows a binary flag where NDVI decreased. Satellite/Sensor: Landsat 9 Operational Land Imager (OLI), Landsat 8 Resolution: 30 meters Credits: NASA/MSFC, USGS Esri REST Endpoint: See URL section on right side of page WMS Endpoint: https://gis.earthdata.nasa.gov/portal/services/DISASTERS_202510_HURRICANE_MELISSA/landsat_bNDVI/MapServer/WMSServer

uav imagery by DroneTM local Pilots, HOT, jamaica, workshop 2025, Flying labs, acquired 2025-08-13 to 2025-08-13, 1.9 cm per pixel, published on OpenAerialMap.

uav imagery by Phil at Hot, acquired 2025-08-14 to 2025-08-14, 1.9 cm per pixel, published on OpenAerialMap.

uav imagery by HOTOSM JFL, acquired 2025-11-05 to 2025-11-05, 5.0 cm per pixel, published on OpenAerialMap.

uav imagery by HOT-PH, acquired 2025-11-15 to 2025-11-15, 4.7 cm per pixel, published on OpenAerialMap.

uav imagery by PH, acquired 2025-11-15 to 2025-11-15, 9.5 cm per pixel, published on OpenAerialMap.

uav imagery by Philip Hippolyte at HOT, acquired 2025-11-20 to 2025-11-20, 4.7 cm per pixel, published on OpenAerialMap.

uav imagery by tanzania jamaica flyingLabs, esri, NERGIST, WeRobotics, HOT, Humanitarian, OSM, OpenStreetMap Team, CSOD, GeoTechVision, , acquired 2025-12-07 to 2025-12-07, 4.2 cm per pixel, published on OpenAerialMap.

Date of Images Co and Post-event: 2025-10-30; 2025-11-02; 2025-11-04 Pre-event: 2025-10-15, 2025-10-17, 2025-10-18, 2025-10-20, 2025-10-23 Summary: The Advanced Rapid Imaging and Analysis (ARIA) and Observational Products for End-Users from Remote Sensing Analysis (OPERA) teams at NASA's Jet Propulsion Laboratory and California Institute of Technology created maps of surface water extent impacted by the flooding caused by Hurricane Melissa in Jamaica on October 28, 2025 using the OPERA Dynamic Surface Water Extent (DSWx) from NASA Harmonized Landsat Sentinel-2 (HLS) product.  The results posted here are preliminary and unvalidated results, primarily intended to aid the field response and people who wanted to have a rough first look at the inundation extent. The ARIA-share website has always focused on posting preliminary results as fast as possible for disaster response. All information is provisional for use under emergency response guidelines. These data are provided with absolutely no warranty of any kind.  Use at your own risk. OPERA DSWx-HLS The OPERA DSWx-HLS was used to identify surface water for the flooding event. The images provided are a mosaic of OPERA DSWx-HLS products, producing a composite image for each date. The mosaicking applied prioritized pixels classified as open surface water to preserve water pixels in region of product granule overlap. The images are provided as GeoTIFF files.  Note: Cloud/cloud shadow and snow/ice layers are derived from HLS Fmask quality assurance (QA) data, which sometimes misclassifies sediment-rich water as snow/ice. Snow/ice pixels were reclassified to open water to capture the full innundated extent. Water (WTR) Layer Description: Masked interpreted water classification layer. This represents pixel-wise classification into one of three water classes (not water, open water, and partial surface water), snow/ice, cloud/cloud shadow and adjacent to cloud/cloud shadow, ocean masked, or no data classes as a result of processing the diagnostic (DIAG) layer through all intermediate steps/layers (WTR-1, and WTR-2). Water (WTR) Layer Values: 0: Not Water - an area with valid reflectance data that is not open water (class 1), partial surface water (class 2), snow/ice (class 252), cloud/cloud shadow (class 253), or ocean masked (class 254). Masking can result in “not water” (class 0) where land cover masking is applied. (suggested color: #ffffff) 1: Open Water - an area that is entirely water and unobstructed to the sensor, including obstructions by vegetation, terrain, and buildings. (suggested color: #0000ff) 2: Partial Surface Water – an area that is considered inundated, extracted from the high value in dual polarization ratio and the wetland class in land cover map. (suggested color: #b4d5f4) 252: Snow/Ice - an area identified as snow/ice according to input HLS Fmask quality assurance (QA) data (suggested color: #00ffff) 253: Cloud/Cloud Shadow - an area identified as cloud or cloud shadow or adjacent to cloud/cloud shadow according to input  HLS Fmask quality assurance (QA) data (suggested color: #afafaf) 254: Ocean Masked - an area identified as ocean using a shoreline database with an added margin (suggested color: #00007f) Binary Water (BWTR) Layer Description: The binary water layer is derived from the WTR layer as a union of water classes (open water and partial surface water) into a binary map indicating areas with and without water. This layer is meant to provide users with a quick view for  water/no-water. Invalid data classes (snow/ice, cloud/cloud shadow along with adjacent to cloud/cloud shadow, ocean masked, and fill value) are also provided to indicate areas in which the binary classification does not provide water/no-water classification. Binary Water (BWTR) Layer Values: 0: Not Water - an area with valid reflectance data that is not water (class 1) and not snow/ice (class 252), cloud/cloud shadow  (class 253), or ocean masked (class 254) (suggested color: #ffffff) 1: Water - an area classified as open water or partial surface water (suggested color: #0000ff) 252: Snow/Ice - an area identified as snow/ice according to input HLS Fmask quality assurance (QA) data (suggested color: #00ffff) 253: Cloud/Cloud Shadow - an area identified as cloud or cloud shadow or adjacent to cloud/cloud shadow according to input  HLS Fmask quality assurance (QA) data (suggested color: #afafaf) 254: Ocean Masked - an area identified as ocean using a shoreline database with an added margin (suggested color: #00007f) 255: No data (suggested color: transparent) Satellite/Sensor: Multi Spectral Instrument (MSI) on European Space Agency's (ESA) Copernicus Sentinel-2A/B/C satellites and Operational Land Imager 2 (OLI-2) on NASA's Landsat 8 satellite. Resolution: 30 meters OPERA DSWx-HLS data availability The post-processed products are available to download at https://aria-share.jpl.nasa.gov/20251028_Hurricane_Melissa/DSWx-HLS/. The OPERA DSWx-HLS products have been in production since April 2023, are freely distributed to the public via NASA's Physical Oceanography Distributed Active Archive Center (PO.DAAC), and can be downloaded through NASA's Earthdata search. For more information about the Dynamic Surface Water eXtent product suite, please refer to the DSWx Product page: https://www.jpl.nasa.gov/go/opera/products/dswx-product-suite.  For more information about the Caltech-JPL ARIA project, visit https://aria.jpl.nasa.gov.  For more information about the JPL OPERA project, visit https://www.jpl.nasa.gov/go/opera/.   REST Endpoint: See the URL to the right. WMS Endpoint: https://gis.earthdata.nasa.gov/portal/services/DISASTERS_202510_HURRICANE_MELISSA/ARIA_DSWxHLS/MapServer/WMSServer Product POCs: Cole Speed (cole.speed@jpl.nasa.gov) Mary Grace Bato (bato@jpl.nasa.gov) Ines Fenni (ines.fenni@jpl.nasa.gov) Alexander Handwerger (alexander.handwerger@jpl.nasa.gov) Renato Frasson (renato.prata.de.moraes.frasson@jpl.nasa.gov) Credits: HLS data was accessed through NASA EarthData Search. The product contains modified Copernicus Sentinel data (2025), processed by the European Space Agency, NASA/USGS Landsat 8/9 data, and analyzed by the NASA-JPL/Caltech ARIA and OPERA team. The products are produced as part of the OPERA project, which is funded by NASA to address remote sensing needs identified by the Satellite Needs Working Group, and managed by NASA Jet Propulsion Laboratory. NASA JPL-Caltech ARIA/OPERA Team ================== Last Update 29 Oct 2025

uav imagery by HOT OSM Humanitarian Open Streetmap Team- PH, acquired 2025-11-14 to 2025-11-20, 4.7 cm per pixel, published on OpenAerialMap.

uav imagery by Wingtra, HOT, JFL, FLying Labs, WeRobotics, Nergist, Esri, CSOD, , acquired 2025-11-17 to 2025-11-17, 1.9 cm per pixel, published on OpenAerialMap.

Dates of Images: Post-Event: November 2, 2025; November 4, 2025; November 6, 2025 Pre-Event: October 20, 2025 Date of Next Image: Unknown Summary: Normalized Differential Vegetation Index (NDVI) maps are produced by converting pixel values to NDVI = (Red – NIR)/(Red + NIR), NIR indicates the near infrared band. The dynamically generated Normalized Difference Vegetation Index (NDVI) layer is an index for quantifying green vegetation. It reflects the state of vegetation health based on how vegetation reflects light at certain wavelengths. NDVI change was created by subtracting the cloud-masked post-event NDVI from the cloud-masked pre-event NDVI to show areas of potentially impacted vegetation as negative values (darker shades) and healthy/unimpacted vegetation in positive values (lighter shades). NDVI change can give insights to impacts from an event (like the scouring of vegetation from the riverbeds) but can also show changes in unrelated areas like the clearing of agriculture fields. This layer is a binary NDVI change polygon (threshold of areas where NDVI decreased by -0.25 or more) for November 2, 2025 as compared to October 20, 2025. Suggested Use: NDVI change: Commonly used to distinguish healthy/active vegetation (positive values) from potentially unhealthy/impacted vegetation (negative values). This map shows a binary flag where NDVI decreased. Satellite/Sensor: MultiSpectral Instrument (MSI) on European Space Agency's (ESA) Copernicus Sentinel-2A/2B satellites Resolution: 10 meters Credits: NASA/MSFC, USGS, ESA Copernicus Esri REST Endpoint: See URL section on right side of page