Venezuela Bolivarian Republic of geoscience data

Date of Images: Post-Event: 6/26/2026, 6/27/2026 Pre-Event: May 2026 Summary: These Black Marble Day-Night Band (BRDF-Corrected) images were created by the NASA Black Marble Science team. The images are corrected for atmospheric, terrain, lunar BRDF, and straylight effects, and directly measures light intensity on the ground in units of nanowatts/(steradian centimeter squared). The images are scaled from 0 - 30. The baseline image is from September 2025, generated from all daily atmospheric and lunar-corrected data from that month. There is a layer to display where clouds are present. This comparison between the images is meant as a visual assessment of outage impacts to aid various partners who are working to deliver emergency aids to local communities. Power outage maps like these help disaster response efforts in the short-term as well as long-term monitoring during the crucial stages of disaster recovery. 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. The image is in inferno color scale. Yellow represents presence of more light; dark blue less lights. 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. 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 Resolution: 15 arc-seconds (~500 meters) Credits: NASA Black Marble Science team 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. Service URL: See REST Endpoint on the right. WMS Endpoint: https://gis.earthdata.nasa.gov/portal/services/DISASTERS_202606_EARTHQUAKE_VENEZUELA/202611_blackmarble_brdf_cloud/ImageServer/WMSServer

Dates of Image: 3 Pairs: 6/13/2026, 6/25/2026 6/17/2026, 6/29/2026 6/18/2026, 6/30/2026 Date of Next Image: Unknown Summary: Scientists working with Advanced Rapid Imaging and Analysis (ARIA) team at NASA's Jet Propulsion Laboratory and California Institute of Technology, both in Pasadena, California, created this displacement map with measurements of the surface displacements, in the radar line-of-sight, caused by the recent major earthquake in Northern Venezuela (6/24/2026). The map was derived from synthetic aperture radar (SAR) images from the NASA-ISRO Synthetic Aperture Radar (NISAR) satellite. The team computed the interferometric difference (interferogram or interferometric SAR) between the post-event image acquired on 6/25/2026 a pre-event image acquired on 6/13/2026. The interferometric SAR (InSAR) measures the component of surface displacement in the line-of-sight (LOS) between the ground and the satellite, which is at an angle of about 40 degrees from the vertical and slightly south of due west. NOTE: The line-of-sight displacement (LOS) measurement is relative, and the dataset has not been calibrated to any ground location so there is a bias of the reference level, which is unknown. This data has not yet been validated. This displacement map should be used as guidance to identify areas of significant ground displacement, and may be less reliable over snow-covered and vegetated areas. Suggested Use: Unwrapped Interferogram (UNW): Red colors indicate increasing displacement towards the West, while the Blue areas indicate increasing displacement towards the East NOTE: Small vertical displacements have also occurred, but the primary surface displacements were in the horizontal plane. Satellite/Sensor: NASA-ISRO Synthetic Aperture Radar (NISAR) Resolution: 30 meters Credits: NASA-JPL/Caltech Team, NISAR Operations Science Team Esri REST Endpoint: https://gis.earthdata.nasa.gov/portal/rest/services/DISASTERS_202606_EARTHQUAKE_VENEZUELA/202611_nisar_LOSDisplacement/ImageServer WMS Endpoint: https://gis.earthdata.nasa.gov/portal/services/DISASTERS_202606_EARTHQUAKE_VENEZUELA/202611_nisar_LOSDisplacement/ImageServer/WMSServer

Date of Images: Post-Event: 6/26/2026, 6/27/2026 Pre-Event: May 2026 Summary: These Black Marble Day-Night Band (BRDF-Corrected) images were created by the NASA Black Marble Science team. The images are corrected for atmospheric, terrain, lunar BRDF, and straylight effects, and directly measures light intensity on the ground in units of nanowatts/(steradian centimeter squared). The images are scaled from 0 - 30. The baseline image is from September 2025, generated from all daily atmospheric and lunar-corrected data from that month. There is a layer to display where clouds are present. This comparison between the images is meant as a visual assessment of outage impacts to aid various partners who are working to deliver emergency aids to local communities. Power outage maps like these help disaster response efforts in the short-term as well as long-term monitoring during the crucial stages of disaster recovery. 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. The image is in inferno color scale. Yellow represents presence of more light; dark blue less lights. 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. 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 Resolution: 15 arc-seconds (~500 meters) Credits: NASA Black Marble Science team 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. Service URL: https://gis.earthdata.nasa.gov/portal/rest/services/DISASTERS_202606_EARTHQUAKE_VENEZUELA/202611_brdf/ImageServer WMS Endpoint: https://gis.earthdata.nasa.gov/portal/services/DISASTERS_202606_EARTHQUAKE_VENEZUELA/202611_brdf/ImageServer/WMSServer

Dates of Images: Post-Event: 06/25/2026 Pre-Event: 04/07/2026-06/13/2026 (8 images total) Summary: The NASA GSFC landslides team produced this landslide proxy heatmap from Sentinel-1 imagery. Potential landslides were detected by calculating the change in the backscatter coefficient before and after the triggering event using the log ratio approach (Iratio). The Iratio is generated by subtracting median pre- and post-event Radiometrically Terrain Corrected (RTC) gamma0 backscatter in decibel scale at 10 m resolution obtained from the Alaska Sar Facility’s Hybrid Pluggable Processing Pipeline (HyP3). This map should be used as a guide to identify areas likely affected by landslides. This is a rapid response product. We have not done any form of manual verification or corrections to remove false positives. The likely landslide pixels are identified using 99th percentile Iratio threshold considering areas greater than 10-degree in slope and not affected by radar shadow and layover effects. A heatmap is generated using identified landslide pixels for visualization ease. Pre-event imagery = median imagery generated using images from 04/07/2026-06/13/2026 (8 images total) Post-event imagery = 06/25/2026 Suggested Use: The red and yellow areas indicate potential zones of dense landsliding. False positives related to natural and human-made ground surface change, including but not limited to deformation from mining, construction, deforestation, agriculture, flooding, snow cover, and changes in reservoir water levels can also be within the red and yellow areas. Satellite/Sensor/Resolution: Synthetic Aperture Radar on European Space Agency's (ESA) Copernicus Sentinel-1 satellite, 10 meters Credits: NASA GSFC landslides team, Copernicus Sentinel-1 data Citation: Handwerger AL, Huang M-H, Jones SY, Amatya P, Kerner HR, Kirschbaum DB. 2022. Generating landslide density heatmaps for rapid detection using open-access satellite radar data in Google Earth Engine. Nat. Hazards Earth Syst. Sci. Copernicus Publications, 22(3): 753–773. https://doi.org/10.5194/nhess-22-753-2022. Esri REST Endpoint: See URL to the right. WMS Endpoint: https://gis.earthdata.nasa.gov/portal/services/DISASTERS_202606_EARTHQUAKE_VENEZUELA/202611_sentinel1_landslide_heatmap/ImageServer/WMSServer

# Venezuela Earthquake Caracas: Damage Proxy Maps, Jun 2026 The **Earth Observatory of Singapore – Remote Sensing Lab (EOS-RS)** produced these damage proxy maps for Venezuela Earthquake Caracas (Jun 2026) 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: La Guaira, Venezuela, Earthquakes, 25 June 2026, v0.8 ** - **EOS-RS Damage Proxy Map: Yuracuy Region, Venezuela, Earthquakes, 25 June 2026, v0.8 ** **More map details and files:** **Legal Disclaimer:** **Credits:** Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS), Contains modified Copernicus Sentinel data (2026)

Microsoft AI for Good Lab ran their damage assessment AI models in Catia La Mar.

Microsoft AI for Good Lab ran their damage assessment AI models in La Guaria.

**ADAM ID: **sm\_us6000rcrj Magnitude 5.8 earthquake at 10.0 depth occurred on Sep 25 2025 26km NW of Sabana Grande. The epicentre of the earthquake was located at latitude 9.894 longitude -70.6699. It impacted 244499 people within 50km. WFP’s Automated Disaster Analysis and Mapping (ADAM) system is an operational system for collecting, analysing and mapping geospatial and socio-economic information following sudden onset humanitarian emergencies.

**UNOSAT code: EQ20260625VEN, GDACS ID: 1548377** This application provides geospatial information on satellite based-assessments related with the 7.2 & 7.5 magnitude earthquakes sequence in Venezuela of 24 June 2026. Important note: The boundaries and names shown, and the designations used on this map do not imply official endorsement or acceptance by the United Nations. The United Nations Satellite Centre -UNOSAT is not responsible for the misuse or misrepresentation of the map.

Microsoft AI for Good Lab ran their damage assessment AI models in Caraballeda.

Displacement maps from Sentinel-1 ascending track 033, acquired on 2026/06/25 Dates of Images: June 24, 2026; June 25, 2026 Summary: EARTHQUAKE OVERVIEW (Source: USGS): On June 24, 2026, northwestern and central Venezuela was struck by two large strike-slip earthquakes occurring just 39 seconds apart: Foreshock: Magnitude 7.2 at 22:04:33 (UTC), located 23 km SE of Yumare, Venezuela Mainshock: Magnitude 7.5 at 22:05:11 (UTC), located 28 km SE of Yumare, Venezuela (10.435°N, 68.472°W) Scientists working with the Advanced Rapid Imaging and Analysis (ARIA) team at NASA's Jet Propulsion Laboratory and California Institute of Technology, both in Pasadena, California, created these displacement maps with measurements of surface displacements caused by the earthquake sequence. The maps were derived from synthetic aperture radar (SAR) images from the Copernicus Sentinel-1 satellites, operated by the European Space Agency (ESA). The team computed the phase difference between a post-event image acquired on June 25, 2026 (reference scene) with a pre-event image acquired on June 18, 2026 (secondary scene), on Sentinel-1 ascending (satellite moving north) track 033. Interferometric Synthetic Aperture Radar (InSAR) measures ground movement toward or away from the satellite. Sentinel-1 views the ground from the side at about 40° from vertical. On ascending passes, it travels slightly west of north (heading ≈ 348° or −12°) and looks to the east. On descending passes, it travels slightly southwest (heading ≈ 192°) and looks to the west. The full dataset covers an area centered on the earthquake epicenter. Each pixel measures approximately 30 meters across. Suggested Use: Line-of-Sight Displacement (Venezuela_S1_A033_20260618_20260625_UNW.tif): Unwrapped phase data converted to metric displacement along the radar line-of-sight. Positive values (blue) indicate ground movement towards from the satellite (uplift and/or westward motion), while negative values (red) indicate movement away from the satellite (subsidence and/or eastward motion). Units: meters. The dataset has been re-referenced to a stable point at coordinates (-68.5435°, 10.9696°). Areas of low coherence and water bodies have been masked. Wrapped Phase (Venezuela_S1_A033_20260618_20260625_WRP.tif): Wrapped phase map showing relative ground deformation where each "fringe" or complete color cycle represents approximately 2.8 cm of displacement along the line-of-sight (half the Sentinel-1 C-band wavelength of 5.56 cm). The color progression from (outward to inward) red, orange, yellow, green, and blue indicates ground is moving away from the satellite, blue, green,yellow, orange, and red means ground is moving towards the satellite. This visualization is useful for identifying the spatial pattern and magnitude of deformation. Range Offset (Venezuela_S1_A033_20260618_20260625_RNG.tif): Across-track (range direction) pixel offsets measured through amplitude cross-correlation. This represents ground displacement perpendicular to the satellite flight path, predominantly capturing east-west motion. Positive values (blue) indicate westward movement, negative values (red) indicate eastward movement. Units: meters. Water bodies and areas outside the valid data frame have been masked. Interferometric Coherence (Venezuela_S1_A033_20260618_20260625_COH.tif): Measures the similarity of the radar phase between the two SAR acquisitions, indicating the reliability of the interferometric phase used to estimate ground displacement. Values range from 0 (decorrelated, unreliable) to 1 (highly correlated, reliable). Data Sources and Satellite Specifications: Water masking: ESA World Cover 2021 land cover dataset was used to mask permanent water bodies Orbit direction: Ascending (A) - satellite moving north Track number: 033 Wavelength: 5.56 cm (C-band) Spatial resolution: 30 meters Reference point: -68.5435°E, 10.9696°N Temporal baseline: 7 days (June 18-25, 2026) Caveats: The InSAR ground displacement results posted here are preliminary results, primarily intended to aid field response and provide rapid assessment of earthquake-induced surface deformation. These preliminary products may or may not be suitable for detailed scientific analysis without further validation. This displacement map should be used as guidance to identify areas of significant ground displacement, and may be less reliable over snow-covered and vegetated areas, steep terrain, or regions that experienced surface changes between acquisitions. The Sentinel-1 data products contain modified Copernicus Sentinel data (2026), processed by the European Space Agency and analyzed at the NASA Jet Propulsion Laboratory. For more information about ARIA, visit: http://aria.jpl.nasa.gov Credits: Sentinel-1 data were accessed through the Copernicus Open Hub and the Alaska Satellite Facility server. The product contains modified Copernicus Sentinel data (2026), processed by the European Space Agency 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's Jet Propulsion Laboratory. Grace Bato, Cole Speed, Eric Fielding Esri REST Endpoint: See URL to the right

Dates of Images: Post-Event: 06/25/2026 Pre-Event: 04/07/2026-06/13/2026 (8 images total) Summary: The NASA GSFC landslides team produced this landslide proxy heatmap from Sentinel-1 imagery. Potential landslides were detected by calculating the change in the backscatter coefficient before and after the triggering event using the log ratio approach (Iratio). The Iratio is generated by subtracting median pre- and post-event Radiometrically Terrain Corrected (RTC) gamma0 backscatter in decibel scale at 10 m resolution obtained from the Alaska Sar Facility’s Hybrid Pluggable Processing Pipeline (HyP3). The likely landslide pixels are identified using 99th percentile Iratio threshold considering areas greater than 10-degree in slope and not affected by radar shadow and layover effects. A heatmap is generated using identified landslide pixels for visualization ease. Pre-event imagery = median imagery generated using images from 04/07/2026-06/13/2026 (8 images total) Post-event imagery = 06/25/2026 This map should be used as a guide to identify areas likely affected by landslides. This is a rapid response product. We have not done any form of manual verification or corrections to remove false positives. Suggested Use: The red and yellow areas indicate potential zones of dense landsliding. False positives related to natural and human-made ground surface change, including but not limited to deformation from mining, construction, deforestation, agriculture, flooding, snow cover, and changes in reservoir water levels can also be within the red and yellow areas. Satellite/Sensor/Resolution: Synthetic Aperture Radar on European Space Agency's (ESA) Copernicus Sentinel-1 satellite, 10 meters Credits: NASA GSFC landslides team, Copernicus Sentinel-1 data Citation: Handwerger AL, Huang M-H, Jones SY, Amatya P, Kerner HR, Kirschbaum DB. 2022. Generating landslide density heatmaps for rapid detection using open-access satellite radar data in Google Earth Engine. Nat. Hazards Earth Syst. Sci. Copernicus Publications, 22(3): 753–773. https://doi.org/10.5194/nhess-22-753-2022. Esri REST Endpoint: See URL to the right. WMS Endpoint: See Sublayers.