The Advanced Rapid Imaging and Analysis (ARIA) team at NASA's Jet Propulsion Laboratory in Pasadena, California, created this Flood Proxy Map depicting areas of Southeastern Texas that are likely flooded as a result of Hurricane Harvey, shown by light blue pixels. The map is derived from synthetic aperture radar amplitude images from the Japan Aerospace Exploration Agency's (JAXA) ALOS-2 PALSAR-2 satellite, taken before (July 30, 2017) and after (August 27, 2017) Hurricane Harvey made landfall. The map covers an area of 135 square miles (350 square kilometers). Each pixel measures about 538 square feet (50 square meters). Local ground observations provided anecdotal preliminary validation. This flood proxy map should be used as guidance to identify areas that are likely flooded, and may be less reliable over urban areas. ALOS-2 data were accessed through the International Charter. https://photojournal.jpl.nasa.gov/catalog/PIA21928

The Advanced Rapid Imaging and Analysis (ARIA) team at NASA's Jet Propulsion Laboratory in Pasadena, California, created this Damage Proxy Map (DPM) depicting areas of Northern California that are likely damaged (shown by red and yellow pixels) as a result of the Camp Fire. The map is derived from synthetic aperture radar (SAR) images from the Copernicus Sentinel-1 satellites, operated by the European Space Agency (ESA). The pre-event images were taken before (November 4, 2018) and the post-event image was acquired during the fire (6pm November 16, 2018, both local time). https://photojournal.jpl.nasa.gov/catalog/PIA22819

The Advanced Rapid Imaging and Analysis (ARIA) team at NASA's Jet Propulsion Laboratory in Pasadena, California, created these flood proxy maps depicting areas of Mozambique that are likely flooded as a result of Cyclone Idai. The likely flooding zones are indicated by light blue pixels. The maps were derived from synthetic aperture radar (SAR) images from the ICEYE-X2 (March 18), Sentinel-1 (March 19, 20), and ALOS-2 (March 23) satellites operated by ICEYE (Finnish satellite manufacturer Every Square Meter, Every Hour), European Space Agency (ESA), and Japan Aerospace Exploration Agency (JAXA), respectively. The processed images were compared to each other for cross-validation. These flood proxy maps should be used as guidance to identify areas that are likely flooded, and may be less reliable over urban and vegetated areas. https://photojournal.jpl.nasa.gov/catalog/PIA23142

The Advanced Rapid Imaging and Analysis (ARIA) team at NASA's Jet Propulsion Laboratory in Pasadena, California, created this map depicting areas that are likely damaged as a result of the recent major earthquakes in Southern California. The color variation from yellow to red indicates increasingly more significant surface change, or damage. The map covers an area of 155 by 186 miles (250 by 300 kilometers), shown by the large red polygon. Each pixel measures about 33 yards (30 meters) across. To make the map, the team used synthetic aperture radar (SAR) images from the European Space Agency's Copernicus Sentinel-1 satellites from before and after the sequence of quakes — July 4, 2019 and July 10, 2019 respectively. The map may be less reliable over vegetated areas but can provide useful guidance in identifying damaged areas. https://photojournal.jpl.nasa.gov/catalog/PIA23354

The Advanced Rapid Imaging and Analysis (ARIA) team at NASA's Jet Propulsion Laboratory in Pasadena, California, in collaboration with the Earth Observatory of Singapore (EOS), created this flood map depicting areas of the Bahamas that are likely flooded (shown by light blue pixels) as a result of Hurricane Dorian. The map was derived from synthetic aperture radar (SAR) data acquired on Sept. 2, 2019, by the European Union's Copernicus Sentinel-1 satellites operated by the European Space Agency (ESA). The map covers an area of 109 miles by 106 miles (176 kilometers by 170 kilometers) shown by the large red polygon. Each pixel measures about 32 yards (30 meters) across. This map can be used as guidance to identify areas that are likely flooded, and may be less reliable over urban and vegetated areas. The image contains modified Copernicus Sentinel data (2019) processed by ESA and analyzed by NASA, JPL-Caltech, ARIA, and EOS. This work was funded by NASA along with the Earth Observatory of Singapore and a Singapore National Research Foundation Investigatorship. https://photojournal.jpl.nasa.gov/catalog/PIA23360

NASA scientists are helping local and federal agencies assess the extent of the damage in Puerto Rico following a 6.4-magnitude earthquake and hundreds of aftershocks. Using synthetic aperture radar data from the Copernicus Sentinel-1 satellites operated by the European Space Agency (ESA), the Advanced Rapid Imaging and Analysis (ARIA) team at NASA's Jet Propulsion Laboratory and Caltech in Pasadena, California created a new damage map that includes the southwestern coast near the main quake's epicenter. The ARIA team compared post-quake satellite data acquired on Jan. 14 with data as far back as Sept. 2019 to produce the map. The color variation from yellow to dark red indicates increasingly more significant damage. Their analysis shows that Guanica, west of the city of Ponce, was particularly hard hit. The map covers an area of 107 by 47 miles (172 by 76 kilometers), shown with the large red polygon, with each pixel measuring about 100 feet (30 meters) across. The data is most sensitive to building damage rather than small scale changes or partial structural damage. It is also less reliable over heavy vegetation. Even with these limitations, the map can still serve an important role in identifying the areas that may need help the most. The map contains modified Copernicus Sentinel data processed by ESA and analyzed by ARIA team scientists at NASA JPL and Caltech. https://photojournal.jpl.nasa.gov/catalog/PIA23429

The Advanced Rapid Imaging and Analysis (ARIA) team at NASA's Jet Propulsion Laboratory in Pasadena, California, created this map of the Ridgecrest area of Southern California following two strong earthquakes — a magnitude 6.4 on July 4 and a magnitude 7.1 on July 5, 2019. The map shows how much and in what direction the ground moved in various places, displayed in meters. The blue tones show that the ground west of the main fault rupture, which runs from the lower right to the upper left, moved toward the northwest by as much as 0.8 meters (2.7 feet) during the 7.1-magnitude quake. The ground in the red and pink areas moved southeast by as much as 0.6 meters (2 feet). Black lines show faults that were mapped before the 2019 earthquakes. The 6.4-magnitude quake moved a shorter fault that runs perpendicular to the main fault — shown slightly down and to the left of center on the map. The colors in this area show that the north side of the fault moved to the west (blue) and the south side moved to the east (pink). The green circles correspond to aftershocks of a magnitude of 3.0 or higher, which were detected along both faults, between July 4 and July 9. The larger the circle, the stronger the aftershock. The ARIA team used interferometric synthetic aperture radar (InSAR) analysis of data from the ALOS-2 satellite, operated by the Japan Aerospace Exploration Agency (JAXA) to create the map. They used images captured before the quakes (on April 16, 2018) and after the quakes (on July 8, 2019) for this analysis. https://photojournal.jpl.nasa.gov/catalog/PIA23351

Typhoon Hagibis, one of the most destructive storms to hit Japan in decades, made landfall on Saturday, Oct. 12, 2019 southwest of Tokyo with wind speeds equivalent to a Category 3 hurricane. The damage it left in its wake is visible from space. NASA's Advance Rapid Imaging and Analysis (ARIA) team, in collaboration with the Earth Observatory of Singapore (EOS), used satellite data to create this map showing areas in Japan that are likely damaged as a result of Typhoon Hagibis. The color variation from yellow to red indicates increasingly more significant ground surface change, or damage. The map was produced using synthetic aperture radar (SAR) data from the Copernicus Sentinel-1 satellites operated by the European Space Agency (ESA). The pre-event images were taken on Oct. 7, 2019, and the post-event image was acquired about 12 hours after the typhoon's landfall. The map covers an area of 155 miles by 220 miles (250 kilometers by 350 kilometers) indicated by the red polygon. The map was delivered to Sentinel Asia, a consortium that supports disaster management across the Asia-Pacific region using space-based technologies. Maps like this one can be used as guidance to help responders identify damaged areas and to allocate resources accordingly. The map may be less reliable over vegetated or badly flooded areas. https://photojournal.jpl.nasa.gov/catalog/PIA23424

The Advanced Rapid Imaging and Analysis (ARIA) team at NASA's Jet Propulsion Laboratory in Pasadena, California, created this Damage Proxy Map (DPM) depicting areas of the Carolinas that are likely damaged (shown by red and yellow pixels) as a result of Hurricane Florence. The map is derived from synthetic aperture radar (SAR) images from the Copernicus Sentinel-1 satellites, operated by the European Space Agency (ESA). The images were taken before (September 02, 2016) and 12 hours after the hurricane's landfall (September 14, 2018 7:06 PM local time). The map covers an area of 155 miles x 210 miles (250 km x 340 km), indicated with the big red polygon. Each pixel measures about 33 yards x 33 yards (30 m x 30 m). The color variation from yellow to red indicates increasingly more significant ground surface change. Media reports provided anecdotal preliminary validation. This damage proxy map should be used as guidance to identify damaged areas, and may be less reliable over vegetated areas and flooded areas. For example, the scattered single colored pixels over vegetated areas may be false positives, and the lack of colored pixels over vegetated areas does not necessarily mean no damage. https://photojournal.jpl.nasa.gov/catalog/PIA22702

The Advanced Rapid Imaging and Analysis (ARIA) team at NASA's Jet Propulsion Laboratory in Pasadena, California, created this Flood Proxy Map depicting areas of the Carolinas that are likely flooded as a result of Hurricane Florence, shown by light blue pixels. The map is derived from synthetic aperture radar (SAR) images from the Copernicus Sentinel-1 satellites, operated by the European Space Agency (ESA). The images were taken before (September 09, 2018) and 36 hours after the hurricane's landfall (September 15, 2018 18:57 PM local time). The map covers an area of 53 miles x 152 miles (85 km x 245 km), indicated with the big red polygon. Each pixel measures about 33 yards x 33 yards (30 m x 30 m). Media reports provided anecdotal preliminary validation. This flood proxy map should be used as guidance to identify areas that are likely flooded and may be less reliable over urban and vegetated areas. https://photojournal.jpl.nasa.gov/catalog/PIA22704

NASA scientists are using satellite data to assess the damage on Florida's Gulf Coast after Hurricane Ian, which made landfall in the state as a Category 4 storm on Sept. 28, 2022. The Advanced Rapid Imaging and Analysis (ARIA) team at NASA's Jet Propulsion Laboratory and Caltech created this damage proxy map on Oct. 2, 2022, showing which parts of the Fort Myers area likely suffered storm damage. The map was derived from synthetic aperture radar (SAR) images acquired by the Copernicus Sentinel-1 satellites, which are operated by the European Space Agency (ESA). Data from the satellites covered an area of approximately 2,491 square miles (6,452 square kilometers) outlined by the red rectangle. The color variation from pale yellow to red indicates greater drops in radar reflections compared with pre-storm imagery, an indication of possible damage. Preliminary validation was done by comparing the map with media reports and other images. https://photojournal.jpl.nasa.gov/catalog/PIA25426

A NASA-funded program provided valuable information for responders and groups supporting the recovery efforts for the Aug. 24, 2016, magnitude 6.2 earthquake that struck central Italy. The earthquake caused significant loss of life and property damage in the town of Amatrice. To assist in the disaster response efforts, scientists at NASA's Jet Propulsion Laboratory and Caltech, both in Pasadena, California, obtained and used radar imagery of the earthquake's hardest-hit region to discriminate areas of damage from that event. The views indicate the extent of damage caused by the earthquake and subsequent aftershocks in and around Amatrice, based on changes to the ground surface detected by radar. The color variations from yellow to red indicate increasingly more significant ground surface change. The damage maps were created from data obtained before and after the earthquake by satellites belonging to the Italian Space Agency (ASI) and the Japan Aerospace Exploration Agency (JAXA). The radar-derived damage maps compare well with a damage map produced by the European Commission Copernicus Emergency Management Service based upon visual inspection of high-resolution pre-earthquake aerial photographs and post-earthquake satellite optical imagery, and provide broader geographic coverage of the earthquake's impact in the region. The X-band COSMO-SkyMed (CSK) data were provided through a research collaboration with ASI and were acquired on July 3, August 20, and August 28, 2016. The L-band ALOS/PALSAR-2 data were provided by JAXA through its science research program and were acquired on September 9, 2015, January 27, 2016, and August 24, 2016. The radar data were processed by the Advanced Rapid Imaging and Analysis (ARIA) team at JPL and Caltech. ARIA is a NASA-funded project that is building an automated system for demonstrating the ability to rapidly and reliably provide GPS and satellite data to support the local, national and international hazard monitoring and response communities. Using space-based imagery of disasters, ARIA data products can provide rapid assessments of the geographic region impacted by a disaster, as well as detailed imaging of the locations where damage occurred. Radar can "see" through clouds day and night and measure centimeter-level ground movements. NASA is partnering with the Indian Space Research Organization (ISRO) to develop the NASA ISRO Synthetic Aperture Radar (NISAR) mission that will routinely provide systematic SAR observations of Earth's land and ice-covered surfaces at least twice every 12 days, enabling greater scientific understanding of the dynamic processes that drive the Earth system and natural hazards, as well as providing actionable support for disaster response and recovery. http://photojournal.jpl.nasa.gov/catalog/PIA21091

NASA and its partners are contributing important observations and expertise to the ongoing response to the Sept. 7, 2017 (local time), magnitude 8.1 Oaxaca-Chiapas earthquake in Mexico. This earthquake was the strongest in more than a century in Mexico. It has caused a significant humanitarian crisis, with widespread building damage and triggered landslides throughout the region. Scientists with the Advanced Rapid Imaging and Analysis project (ARIA), a collaboration between NASA's Jet Propulsion Laboratory in Pasadena, California; and Caltech, also in Pasadena, analyzed interferometric synthetic aperture radar images from the radar instrument on the Copernicus Sentinel-1A and Sentinel-1B satellites operated by the European Space Agency (ESA) to calculate a map of the deformation of Earth's surface caused by the quake. This false-color map shows the amount of permanent surface movement caused almost entirely by the earthquake, as viewed by the satellite, during a six-day interval between radar images acquired by the two Sentinel-1 satellites on Sept. 7 and Sept. 13, 2017. In this map, the colors of the surface displacements are proportional to the surface motion. The red tones show the areas along the coast of Chiapas and Oaxaca have moved toward the satellite by as much as 9 inches (22 centimeters) in a combination of up and eastward motion. The area in between and farther north with various shades of blue moved away from the satellite, mostly downward or westward, by as much as 6 inches (15 centimeters). Areas without color are open water or heavy vegetation, which prevent the radar from measuring change between the satellite images. Scientists use these maps to build detailed models of the fault slip at depth and associated land movements to better understand the impact on future earthquake activity. The green star shows the location of the earthquake epicenter estimated by the United States Geological Survey (USGS) National Earthquake Information Center. Map contains modified Copernicus Sentinel data 2017, processed by ESA and analyzed by the NASA-JPL/Caltech ARIA team. This research was carried out at JPL under a contract with NASA. Sentinel-1 data were accessed through the Copernicus Open Access Hub. An annotated figures is available at https://photojournal.jpl.nasa.gov/catalog/PIA21962

The Advanced Rapid Imaging and Analysis (ARIA) team at NASA's Jet Propulsion Laboratory in Pasadena, California, and Caltech, also in Pasadena, created a Damage Proxy Map (DPM) depicting areas in Southern California that are likely damaged (shown by red and yellow pixels) as a result of recent wildfires, including the Thomas Fire in Ventura and Santa Barbara Counties, highlighted in the attached image taken from the DPM. The map is derived from synthetic aperture radar (SAR) images from the Copernicus Sentinel-1 satellites, operated by the European Space Agency (ESA). The images were taken before (Nov. 28, 2017, 6 a.m. PST) and after (Dec. 10, 2017, 6 a.m. PST) the onset of the fires. The map covers an area of 107 by 107 miles (172 by 172 kilometers), shown by the large red polygon. Each pixel measures about 33 yards (30 meters) across. The color variation from yellow to red indicates increasingly more significant ground surface change. Preliminary validation was done by comparing the map to optical satellite imagery from DigitalGlobe. This damage proxy map should be used as guidance to identify damaged areas, and may be less reliable over vegetated areas. For example, the colored pixels seen over mountainous areas may seem a little scattered even though the reality could be that the contiguous areas were burned. Patches of farmland can also appear as signals due to plowing or irrigation. The full map is available to download from https://aria-share.jpl.nasa.gov/events/20171210-SoCal_Fire/. https://photojournal.jpl.nasa.gov/catalog/PIA22191

The Advanced Rapid Imaging and Analysis (ARIA) team at NASA's Jet Propulsion Laboratory in Pasadena, California, and Caltech, also in Pasadena, created this Damage Proxy Map (DPM) depicting areas of Central Mexico, including Mexico City, that are likely damaged (shown by red and yellow pixels) from the magnitude 7.1 Raboso earthquake of Sept. 19, 2017 (local time). The map is derived from synthetic aperture radar (SAR) images from the Copernicus Sentinel-1A and Sentinel-1B satellites, operated by the European Space Agency (ESA). The images were taken before (Sept. 8, 2017) and after (Sept. 20, 2017) the earthquake. The map covers an area of 109 by 106 miles (175 by 170 kilometers). Each pixel measures about 33 yards (30 meters) across. The color variation from yellow to red indicates increasingly more significant ground and building surface change. Preliminary validation was done by comparing the DPM to a crowd-sourced Google Map (https://www.google.com/maps/d/u/0/viewer?mid=1_-V97lbdgLFHpx-CtqhLWlJAnYY&ll=19.41452166501326%2C-99.16498240436704&z=16). This damage proxy map should be used as guidance to identify damaged areas, and may be less reliable over vegetated areas. Sentinel-1 data were accessed through the Copernicus Open Access Hub. The image contains modified Copernicus Sentinel data (2017), processed by ESA and analyzed by the NASA-JPL/Caltech ARIA team. This research was carried out at JPL under contract with NASA. https://photojournal.jpl.nasa.gov/catalog/PIA21963

The Advanced Rapid Imaging and Analysis (ARIA) team at NASA's Jet Propulsion Laboratory in Pasadena, California, and Caltech, also in Pasadena, created this Damage Proxy Map (DPM) depicting areas in the southwestern part of Hokkaido, Japan, that are likely damaged as a result of the M6.6 September 5 earthquake in 2018 (shown by red and yellow pixels). The map is derived from synthetic aperture radar (SAR) images from the ALOS-2 satellites, operated by Japan Aerospace Exploration Agency (JAXA). The images were taken before and after the earthquake -- August 23 and September 6, respectively. The map covers an area of 70 by 57 kilometers, shown by the large red polygon. Each pixel measures about 30 meters across. The color variation from yellow to red indicates increasingly more significant ground surface change. Preliminary validation was done by comparing with the high-resolution airborne optical imagery provided by the Geospatial Information Authority of Japan. This damage proxy map should be used as guidance to identify damaged areas, and may be less reliable over vegetated areas. For example, pixels over vegetated areas and farmlands may be false positives, and the lack of colored pixels over vegetated areas does not necessarily mean no damage. The DPM was created by the NASA-JPL/Caltech ARIA team, and the ALOS-2 data were provided by JAXA. The algorithm development was carried out at JPL under a contract with NASA. https://photojournal.jpl.nasa.gov/catalog/PIA22696

The Advanced Rapid Imaging and Analysis (ARIA) team at NASA's Jet Propulsion Laboratory in Pasadena, California, and Caltech, also in Pasadena, created this Damage Proxy Map (DPM) depicting areas in Central Sulawesi, Indonesia, including the city of Palu, that are likely damaged (shown by red and yellow pixels) as a result of the magnitude 7.5 September 28, 2018 earthquake. The map is derived from synthetic aperture radar (SAR) images from the ALOS-2 satellite, operated by Japan Aerospace Exploration Agency (JAXA). The images were taken before (Aug. 8, 2018) and after (Oct. 3, 2018) the earthquake. The map covers an area of 42 by 44 miles (67 by 70 kilometers), shown by the large red polygon. Each pixel measures about 33 yards (30 meters) across. The color variation from yellow to red indicates increasingly more significant ground surface change. Preliminary validation was done in collaboration with the Earth Observatory of Singapore by comparing with local media information and photos. This damage proxy map should be used as guidance to identify damaged areas, and may be less reliable over vegetated areas. For example, the scattered single colored pixels over vegetated areas may be false positives, and the lack of colored pixels over vegetated areas does not necessarily mean no damage. The DPM was created by the NASA-JPL/Caltech ARIA team, and the ALOS-2 data were provided by JAXA. The Earth Observatory of Singapore coordinated with the Sentinel Asia to timely task the ALOS-2 satellite. The algorithm development was carried out at JPL under a contract with NASA. https://photojournal.jpl.nasa.gov/catalog/PIA22746

The Advanced Rapid Imaging and Analysis (ARIA) team at NASA's Jet Propulsion Laboratory in Pasadena, California, and Caltech, also in Pasadena, created this Damage Proxy Map (DPM) depicting areas in the northeastern part of Lombok Island, Indonesia, that are likely damaged (shown by red and yellow pixels) as a result of the major earthquake sequence (including the M6.4 July 29, the M6.9 August 5, the M5.9 August 9, and the M6.4 August 18 earthquakes) in 2018. The map is derived from synthetic aperture radar (SAR) images from the ALOS-2 satellites, operated by Japan Aerospace Exploration Agency (JAXA). The images were taken before the (May 13, 2018 00:30) and after the (August 19, 2018 00:30, both local time) earthquakes. The map covers an area of 73 by 70 kilometers, shown by the large red polygon. Each pixel measures about 30 meters across. The color variation from yellow to red indicates increasingly more significant ground surface change. Preliminary validation was done by comparing with the DigitalGlobe's high-resolution optical satellite imagery. This damage proxy map should be used as guidance to identify damaged areas, and may be less reliable over vegetated areas. For example, the scattered single colored pixels over vegetated areas may be false positives, and the lack of colored pixels over vegetated areas does not necessarily mean no damage. The DPM was created by the NASA-JPL/Caltech ARIA team, and the ALOS-2 data were provided by JAXA. The Earth Observatory of Singapore coordinated with the Sentinel Asia to timely task the ALOS-2 satellite. The algorithm development was carried out at JPL under a contract with NASA. https://photojournal.jpl.nasa.gov/catalog/PIA22495

Scientists with the Advanced Rapid Imaging and Analysis project (ARIA), a collaboration between NASA's Jet Propulsion Laboratory in Pasadena, California, and Caltech, also in Pasadena, used synthetic aperture radar (SAR) data from the European Union's Copernicus Sentinel-1A and -1B satellites, operated by the European Space Agency. They generated a map of the deformation of Earth's surface caused by the Aug. 5, 2018 magnitude 6.9 earthquake under Lombok island, Indonesia. The deformation map is produced from automated interferometric processing of the SAR data using the JPL-Caltech ARIA data system in response to a signal received from the U.S. Geological Survey. The false-color map shows the amount of permanent surface movement that occurred almost entirely due to the quake, as viewed by the satellite, during a 6-day interval between two Sentinel-1 images acquired on July 30 and Aug. 5, 2018. The map shows that the earthquake fault was under the northwest corner of Lombok island, probably extending offshore to the west. Through these maps, NASA and its partners are contributing observations and expertise that can assist with response to earthquakes and other natural or human-produced hazards. From the pattern of deformation in the map, scientists have determined that the earthquake fault slip was on a fault beneath the northwestern part of Lombok Island and caused as much as 10 inches (25 centimeters) of uplift of the ground surface. The map depicts motion towards the satellite (up and west) in the direction of the radar's line-of-sight, with contours every 2 inches (5 centimeters). White areas are places where the radar measurement was not possible, largely due to dense forests in the middle of the islands. https://photojournal.jpl.nasa.gov/catalog/PIA22491

The Advanced Rapid Imaging and Analysis (ARIA) team at NASA's Jet Propulsion Laboratory in Pasadena, California, used synthetic aperture radar imagery from the Japan Aerospace Exploration Agency's (JAXA) ALOS-2 satellite to create this Flood Proxy Map depicting areas of Southeastern Texas that are likely flooded as a result of Hurricane Harvey (shown by light blue pixels). The map is derived images taken before (July 30, 2017) and after (Aug. 27, 2017) Hurricane Harvey made landfall. The map covers an area of 220 by 400 miles (350 by 640 kilometers). Each pixel measures about 55 yards (50 meters) across. Local ground observations provided anecdotal preliminary validation. The results are also cross-validated with ARIA Sentinel-1 flood proxy map v0.2. The map should be used as guidance, and may be less reliable over urban areas. ALOS-2 data were accessed through the International Charter. https://photojournal.jpl.nasa.gov/catalog/PIA21931

The Advanced Rapid Imaging and Analysis (ARIA) team at NASA's Jet Propulsion Laboratory in Pasadena, California, used synthetic aperture radar imagery from the European Space Agency's (ESA) Sentinel-1 satellite to create this Flood Proxy Map of Southeastern Texas, showing areas that are likely flooded as a result of Hurricane Harvey (light blue pixels). The images used to create the map were taken before (Aug. 5, 2017) and after (Aug. 29, 2017) Hurricane Harvey made landfall. The map covers an area of 155 by 211 miles (250 by 340 kilometers). Each pixel measures about 33 yards (30 meters) across. Local ground observations provided anecdotal preliminary validation. The results were also cross-validated with the ARIA ALOS-2 flood proxy map v0.2. The map should be used as guidance, and may be less reliable over urban areas. Sentinel-1 data were accessed through the Copernicus Open Access Hub. Contains modified Copernicus Sentinel data 2017. https://photojournal.jpl.nasa.gov/catalog/PIA21932

The Advanced Rapid Imaging and Analysis (ARIA) team at NASA's Jet Propulsion Laboratory in Pasadena, California, created these Damage Proxy Maps (DPMs) depicting areas in California likely damaged by the Woolsey and Camp Fires. They are derived from synthetic aperture radar (SAR) images from the Copernicus Sentinel-1 satellites, operated by the European Space Agency (ESA). The pre-event images for the Woolsey Fire in Southern California were taken before the fire on Oct. 30, 2018 and the post-event image was acquired during the fire on Nov. 11, 2018. The map covers an area of 50 miles x 25 miles (80 km x 40 km), indicated with the big red polygon. Each pixel measures about 33 yards x 33 yards (30 m x 30 m). The color variation from yellow to red indicates increasingly more significant ground surface change. The pre-event images for the Camp Fire in Northern California were taken on Nov. 4, 2018 and the post-event images were acquired during the fire on Nov. 10, 2018. The map covers an area of 55 miles x 48 miles (88 km x 77 km). As in the previous image, each pixel measures about 33 yards x 33 yards (30 m x 30 m). The color variation from yellow to red indicates increasingly more significant ground surface change. Preliminary validation for both maps was done by comparing approximate location data to Google's Crisismap. These damage proxy maps can be used as guidance to identify damaged areas with the understanding that they may be less reliable over vegetated areas including farmlands. For example, the scattered single colored pixels over vegetated areas may be false positives, and the lack of colored pixels over vegetated areas does not necessarily mean no damage. https://photojournal.jpl.nasa.gov/catalog/PIA22816

On Nov. 27, 2022, Mauna Loa, Earth's largest active volcano, began erupting from the summit caldera inside Hawaii Volcanoes National Park. Scientists with the Advanced Rapid Imaging and Analysis project (ARIA), a collaboration between NASA's Jet Propulsion Laboratory and the California Institute of Technology, which manages JPL for the agency, analyzed synthetic aperture radar images from the Copernicus Sentinel-1 satellites operated by ESA (European Space Agency) to calculate a map of the Earth's ground movement as a result of the eruption. Using images acquired before and after the start of the eruption – Nov. 22 and Dec. 4, 2022, respectively – scientists produced this false-color map showing the amount of ground surface movement, or displacement, the eruption caused. In the map, surface displacements are seen as color contours, or "fringes," where each color cycle represents about 2.8 centimeters of surface motion. The direction of the ground movement (whether toward or away from the satellite) is indicated by the color cycle (from outer to inner direction). A positive (+) indication, meaning "ground moved towards satellite," has a color cycle of blue-green-yellow-orange-red. A negative (-) indication, meaning "ground moved away from the satellite," has a color cycle of red-orange-yellow-green-blue. The broader fringes are representative of deep source processes within the volcano. In this case, a broad tabular source of magma deflated and fed the eruption as magma or lava was being supplied, somewhat like a deflating balloon (only tabular in shape) that shrank because pressure was relieved. The dense fringes marked as "dike opening" are a signature of the ground rupturing (or opening) as the magma made its way towards the Earth's surface. Scientists use these maps to build detailed models of subsurface volcanic processes to better forecast and understand the impact of future volcanic activity. The Sentinel-1 data were provided by ESA. The image contains modified Copernicus 2022 data, processed by ESA and analyzed by NASA-JPL. https://photojournal.jpl.nasa.gov/catalog/PIA25525

On August 14, 2021, a magnitude 7.2 earthquake struck western Haiti causing widespread damage and loss of life, and triggering landslides throughout the region. Scientists with the Advanced Rapid Imaging and Analysis project (ARIA), a collaboration between NASA's Jet Propulsion Laboratory and the California Institute of Technology analyzed interferometric synthetic aperture radar images from the Copernicus Sentinel-1A satellite operated by the European Space Agency (ESA) to calculate a map of the deformation of Earth's surface caused by the quake. Using images acquired before and after the earthquake – August 3 and 15, 2021, respectively – scientists produced this false-color map showing the amount of permanent surface movement the quake caused. Areas in blue moved toward the satellite by as much as 16 inches (50 centimeters) in a combination of up and eastward motion. These blue areas are close to the epicenter – marked with the orange star – indicating that there was likely a large slip on the fault beneath them. The areas to the west – shown with various shades of red – moved away from the satellite, mostly downward or westward, by as much as 8 inches (20 cm). The two areas of significant ground movement (darker red and blue) are both west of the epicenter and indicate the fault rupture proceeded westward from its starting point. Areas with gray are open water or heavy vegetation that prevents the instrument from measuring change between satellite images. Scientists use these maps to build detailed models of the fault slip at depth and associated land movements to better understand the impact on future earthquake activity. https://photojournal.jpl.nasa.gov/catalog/PIA23697

NASA and its partners are contributing important observations and expertise to the ongoing response to the April 25, 2015, magnitude 7.8 Gorkha earthquake in Nepal. The quake was the strongest to occur in that area since the 1934 Nepal-Bihar magnitude 8.0 event and caused significant regional damage and a humanitarian crisis. Scientists with the Advanced Rapid Imaging and Analysis project (ARIA), a collaboration between NASA's Jet Propulsion Laboratory, Pasadena, California, and the California Institute of Technology in Pasadena, analyzed interferometric synthetic aperture radar images from the European Union's Copernicus Sentinel-1A satellite, operated by the European Space Agency and also available from the Alaska Satellite Facility (https://www.asf.alaska.edu), to calculate a map of the deformation of Earth's surface caused by the quake. This false-color map shows the amount of permanent surface movement caused almost entirely by the earthquake, as viewed by the satellite, during a 12-day interval between two Sentinel-1 images acquired on April 17 and April 29, 2015. In the map, surface displacements are seen as color contours (or "fringes"), where each color cycle represents 8 inches (20 centimeters) of surface motion. The contours show the land around Kathmandu has moved upward by more than 40 inches (1 meter). Areas without the color contours have snow or heavy vegetation that affects the radar measurements. Scientists use these maps to build detailed models of the fault and associated land movements to better understand the impact on future earthquake activity. The background image is from Google Earth. The map contains Copernicus data (2015). http://photojournal.jpl.nasa.gov/catalog/PIA19535

NASA and its partners are contributing observations and expertise to the ongoing response to the Aug. 23, 2016, magnitude 6.2 Amatrice earthquake in central Italy caused widespread building damage to several towns throughout the region. This earthquake was the strongest in that area since the 2009 earthquake that destroyed the city of L'Aquila. Scientists with the Advanced Rapid Imaging and Analysis project (ARIA), a collaboration between NASA's Jet Propulsion Laboratory, Pasadena, California, and the California Institute of Technology in Pasadena, analyzed interferometric synthetic aperture radar images from the PALSAR-2 instrument on the ALOS-2 satellite operated by the Japan Aerospace Exploration Agency (JAXA) to calculate a map of the deformation of Earth's surface caused by the quake. This false-color map shows the amount of permanent surface movement, as viewed by the satellite, during a seven-month interval between two ALOS-2 images acquired on Sept. 9, 2015 and Aug. 24, 2016. The movement was caused almost entirely by the earthquake. In this map, the colors of the surface displacements are proportional to the surface motion. The red and pink tones show the areas where the land moved toward the satellite by up to 2 inches (5 centimeters). The area with various shades of blue moved away from the satellite, mostly downward, by as much as 8 inches (20 centimeters). Contours on the surface motion are 2 inches (5 centimeters) The green star shows the epicenter where the earthquake started as located by the U.S. Geological Survey National Earthquake Information Center. Black dots show town locations. Scientists use these maps to build detailed models of the fault slip at depth and associated land movements to better understand the impact on future earthquake activity. The map shows the fault or faults that moved in the earthquake is about 14 miles (22 kilometers) long between Amatrice and Norcia and slopes to the west beneath the area that moved downward. The PALSAR-2 data were provided by JAXA through a science project. http://photojournal.jpl.nasa.gov/catalog/PIA20893

Amatrice earthquake in central Italy, which caused widespread building damage to several towns throughout the region. This earthquake was the strongest in that area since the 2009 earthquake that destroyed the city of L'Aquila. The Advanced Rapid Imaging and Analysis (ARIA) data system, a collaborative project between NASA's Jet Propulsion Laboratory, Pasadena, California, and the California Institute of Technology in Pasadena, automatically generated interferometric synthetic aperture radar images from the Copernicus Sentinel 1A satellite operated by the European Space Agency (ESA) for the European Commission to calculate a map of the deformation of Earth's surface caused by the quake. This false-color map shows the amount of permanent surface movement, as viewed by the satellite, during a 12-day interval between two Sentinel 1 images acquired on Aug. 15, 2016, and Aug. 27, 2016. The movement was caused almost entirely by the earthquake. In this map, the colors of the surface displacements are proportional to the surface motion. The red and pink tones show the areas where the land moved toward the satellite by up to 2 inches (5 centimeters). The area with various shades of blue moved away from the satellite, mostly downward, by as much as 8 inches (20 centimeters). Contours on the surface motion are 2 inches (5 centimeters) The green star shows the epicenter where the earthquake started as located by the U.S. Geological Survey National Earthquake Information Center. Black dots show town locations. Scientists use these maps to build detailed models of the fault slip at depth and associated land movements to better understand the impact on future earthquake activity. The map shows the fault or faults that moved in the earthquake is about 14 miles (22 kilometers) long between Amatrice and Norcia and slopes to the west beneath the area that moved downward. http://photojournal.jpl.nasa.gov/catalog/PIA20896

The magnitude 7.8 and 7.5 earthquakes that struck southern Turkey and western Syria on February 6, 2023, caused widespread destruction in both countries. The initial, stronger earthquake emanated from a fault 11 miles (18 kilometers) below the surface. The shallow depth meant the earthquake produced violent shaking that affected areas hundreds of miles from the epicenter, 16 miles (26 kilometers) east of the city of Nurdağı, Turkey. The second quake followed nine hours later, striking 6 miles (10 kilometers) deep, roughly 2.5 miles (4 kilometers) south-southeast of the Turkish town of Ekinözü. Hundreds of smaller aftershocks occurred in subsequent days. The preliminary damage proxy map above shows parts of the Turkish cities of Islahiye, Kahramanmaras, and Nurdağı. Dark red pixels represent areas likely to have severe damage to buildings, homes, and infrastructure or changes to landscape, while orange and yellow areas are moderately or partially damaged. Each pixel measures about 100 feet (30 meters) across (about the size of a baseball infield). The damage estimates are most accurate for urban areas and may be less accurate in the mountain and vegetated areas. The Earth Observatory of Singapore – Remote Sensing Lab and the Advanced Rapid Imaging and Analysis (ARIA) team at NASA's Jet Propulsion Laboratory and Caltech collaborated to derive the map from data collected by Japan's Advanced Land Observing Satellite-2 satellite (ALOS-2) on February 8, 2023. The satellite carries a synthetic aperture radar, a sensor that sends pulses of microwaves toward Earth's surface and records for the reflections of those waves to map the landscape, including buildings. By comparing the February 8 data to observations made by the same satellite before the earthquake (on April 7, 2021 and April 6, 2022), scientists tracked the changes and began to identify areas that were likely damaged. https://photojournal.jpl.nasa.gov/catalog/PIA25564

The Advanced Rapid Imaging and Analysis (ARIA) team at NASA's Jet Propulsion Laboratory created this Damage Proxy Map (DPM) of Tongatapu, the main island of Tonga, following the landfall of Cyclone Gita, a Category 4 storm that hit Tonga on Feb. 12-13, 2018. The map depicts areas that are likely damaged from the storm, shown by red and yellow pixels. The map was produced by comparing two pairs of interferometric synthetic aperture radar (InSAR) images from the COSMO-SkyMed satellites, operated by the Italian Space Agency (ASI). The pre- and post-cyclone images were acquired on Jan. 19 and Feb. 13, 2018, respectively. The later image was acquired just 4-1/2 hours after the peak damage by the cyclone. The map covers the entire island of Tongatapu (the 25-by-25-mile, or 40-by-40 kilometer SAR image footprint indicated with the large red polygon). Each pixel measures about 98 feet (30 meters) across. The color variation from yellow to red indicates increasingly more significant ground surface change. Preliminary validation of the SAR data was done by comparing them with high-resolution optical imagery acquired by DigitalGlobe. This Damage Proxy Map should be used as guidance to identify damaged areas and may be less reliable over vegetated and flooded areas. https://photojournal.jpl.nasa.gov/catalog/PIA22257

NASA and its partners are contributing important observations and expertise to the ongoing response to the Nov. 14, 2016, magnitude 7.8 Kaikoura earthquake in New Zealand. This shallow earthquake was so complex and unusual, it is likely to change how scientists think about earthquake hazards in plate boundary zones around the world. Scientists with the Advanced Rapid Imaging and Analysis project (ARIA), a collaboration between NASA's Jet Propulsion Laboratory, Pasadena, California, and Caltech in Pasadena, analyzed interferometric synthetic aperture radar images from the PALSAR-2 instrument on the ALOS-2 satellite operated by the Japan Aerospace Exploration Agency (JAXA) to calculate maps of the deformation of Earth's surface caused by the quake. Two maps show motion of the surface in two different directions. Each false-color map shows the amount of permanent surface movement caused almost entirely by the earthquake, as viewed by the satellite, during a 28-day interval between two ALOS-2 wide-swath images acquired on Oct. 18 and Nov. 15, 2016. In these two new maps made from the wide-swath images, the colors of the surface displacements are proportional to the surface motion. The wide-swath images cover the entire 106-mile (170-kilometer) length of the complex set of earthquake ruptures. The arrows show the direction of the radar motion measurement. In the left image, the blue and purple tones show the areas where the land around the Kaikoura peninsula in the Marlborough region of New Zealand's South Island has moved toward the satellite by up to 13.2 feet (4 meters), both eastward and upward. In the right image, the blue and purple tones show the areas that moved to the north by up to 30 feet (9 meters) and green tones show the area that moved to the south. The sharp line of color change is across the Kekerengu Fault, which had the largest amount of motion in the earthquake. Field studies found maximum rupture at the surface was measured at 39 feet (12 meters) of horizontal displacement. Several other faults have sharp color changes due to smaller amounts of motion, with a total of at least 12 faults rupturing in this single large earthquake. Areas without color have snow, heavy vegetation or open water that prevents the radar measurements from being coherent between satellite images – a required condition to measure ground displacement. Scientists use these maps to build detailed models of the fault slip at depth and associated land movements to better understand the impact on future earthquake activity. The PALSAR-2 data were provided by JAXA through the Committee on Earth Observation Satellites (CEOS) and through scientific research projects. The background image is from Google Earth. http://photojournal.jpl.nasa.gov/catalog/PIA21210

The Advanced Rapid Imaging and Analysis (ARIA) team at NASA's Jet Propulsion Laboratory in Pasadena, California, and Caltech, also in Pasadena, created this Damage Proxy Map (DPM) depicting areas of Southern Mexico that are likely damaged (shown by red and yellow pixels) from the magnitude 8.1 Chiapas earthquake of Sept. 7, 2017 (near midnight local time, early morning on Sept. 8 UTC). The map is derived from synthetic aperture radar (SAR) images from the Copernicus Sentinel-1A and Sentinel-1B satellites, operated by the European Space Agency (ESA). The images were taken before (Sept. 7, 2017 UTC) and after (Sept. 13, 2017 UTC) the earthquake. The map covers an area of 155 by 106 miles (250 by 170 kilometers). Each pixel measures about 33 yards (30 meters) across. The color variation from yellow to red indicates increasingly more significant ground surface change. Preliminary validation was done by comparing the SAR images to optical satellite imagery from DigitalGlobe. This damage proxy map should be used as guidance to identify damaged areas, and may be less reliable over vegetated areas. Sentinel-1 data were accessed through the Copernicus Open Access Hub. The image contains modified Copernicus Sentinel data (2017), processed by ESA and analyzed by the NASA-JPL/Caltech ARIA team. This research was carried out at JPL under a contract with NASA. https://photojournal.jpl.nasa.gov/catalog/PIA21956

The Advanced Rapid Imaging and Analysis (ARIA) team at NASA's Jet Propulsion Laboratory in Pasadena, California, and Caltech, also in Pasadena, created this Damage Proxy Map (DPM) depicting areas of Eastern Puerto Rico that are likely damaged (shown by red and yellow pixels) as a result of Hurricane Maria (a Category 4 hurricane at landfall in Puerto Rico on Sept. 20, 2017). The map is derived from synthetic aperture radar (SAR) images from the Copernicus Sentinel-1A and Sentinel-1B satellites, operated by the European Space Agency (ESA). The images were taken before (March 25, 2017) and after (Sept. 21, 2017) the storm's landfall. The map was delivered to responding agencies, including the Federal Emergency Management Agency (FEMA), on Sept. 22, 2017. FEMA combined the map with building infrastructure data to estimate a damage density map, which was sent to its Urban Search and Rescue teams in the field in Puerto Rico. The map covers an area of 105 by 60 miles (169 by 96 kilometers), shown by the large red polygon in the figure. The inset, denoted by the orange rectangle, shows the extent of damage in and around the capital city of San Juan. Each pixel measures about 98 feet (30 meters) across. The color variation from yellow to red indicates increasingly more significant ground surface change. Preliminary validation was done by comparing the map with anecdotal reports of damage. This damage proxy map should be used as guidance to identify damaged areas, and may be less reliable over vegetated and flooded areas. Sentinel-1 data were accessed through the Copernicus Open Access Hub. The image contains modified Copernicus Sentinel data (2017), processed by ESA and analyzed by the NASA-JPL/Caltech ARIA team. This research was carried out at JPL under a contract with NASA. https://photojournal.jpl.nasa.gov/catalog/PIA21964

The Advanced Rapid Imaging and Analysis (ARIA) team at NASA's Jet Propulsion Laboratory in Pasadena, California, and Caltech, also in Pasadena, created this Damage Proxy Map depicting areas in Northern California that are likely damaged (shown by red and yellow pixels) as a result of the region's current outbreak of wildfires. The map is derived from synthetic aperture radar (SAR) images from the Copernicus Sentinel-1 satellites, operated by the European Space Agency (ESA). The images were taken before (Sep. 27, 2017, 7 p.m. PDT) and after (Oct. 9, 2017, 7 p.m. PDT) the onset of the fires. The map has been provided to various agencies to aid in the wildfire response. The map covers the area within the large red polygon, and measures 155 by 106 miles (250 by 170 kilometers). The illustrative figure from the map depicted in the inset shows damage in the city of Santa Rosa. Each pixel in the Damage Proxy Map measures about 98 feet (30 meters) across. The color variation from yellow to red indicates increasingly more significant ground surface change. Preliminary validation was done by comparing to optical satellite imagery from DigitalGlobe. This Damage Proxy Map should be used as guidance to identify damaged areas, and may be less reliable over vegetated areas. Sentinel-1 data were accessed through the Copernicus Open Access Hub. The image contains modified Copernicus Sentinel data (2017), processed by ESA and analyzed by the NASA-JPL/Caltech ARIA team. This research was carried out at JPL under a contract with NASA. https://photojournal.jpl.nasa.gov/catalog/PIA22048

The Advanced Rapid Imaging and Analysis (ARIA) team at NASA's Jet Propulsion Laboratory in Pasadena, California, and Caltech, also in Pasadena, created this Damage Proxy Map (DPM) depicting areas including the Commonwealth of Dominica, that are likely damaged (shown by red and yellow pixels) as a result of Hurricane Maria (a Category 5 storm at landfall in Dominica on Sept. 18, 2017). The map is derived from synthetic aperture radar (SAR) images from the Copernicus Sentinel-1 satellites, operated by the European Space Agency (ESA). The images were taken before (March 27, 2017) and after (Sept. 23, 2017) the landfall of the storm. The map covers the area within the large red polygon, which measures 53 by 106 miles (85 by 170 kilometers). Each pixel measures about 98 feet (30 meters) across. The color variation from yellow to red indicates increasingly more significant ground surface change. Preliminary validation was done by comparing the data to a crowdsourced map by Clemson Center for Geospatial Technologies and optical satellite imagery feom DigitalGlobe. This damage proxy map should be used as guidance to identify damaged areas, and may be less reliable over vegetated areas. Sentinel-1 data were accessed through the Copernicus Open Access Hub. The image contains modified Copernicus Sentinel data (2017), processed by ESA and analyzed by the NASA/JPL-Caltech ARIA team. This research was carried out at JPL under a contract with NASA. https://photojournal.jpl.nasa.gov/catalog/PIA22037

Italy earthquake. The quake has caused significant damage in the historic town of Amatrice. To assist in the disaster response efforts, scientists at NASA's Jet Propulsion Laboratory, Pasadena, California, and the California Institute of Technology in Pasadena, in collaboration with the Italian Space Agency (ASI), generated this image of the earthquake's hardest-hit region. The 40-by-75 mile (65-by-120 kilometer) Damage Proxy Map (DPM) was derived from two consecutive frames of the Japan Aerospace Exploration Agency's (JAXA's) L-band interferometric synthetic aperture radar (InSAR) data from the ALOS-2 satellite (cyan rectangles), and the 25-by-31 mile (40-by-50 kilometer) DPM was derived from InSAR data from the Agenzia Spaciale Italiana's (ASI's) X-band COSMO-SkyMed satellite (red rectangle). Both DPMs cover the historic town of Amatrice, revealing severe damage in the western side of the town (right panels). The time span of the data for the change is Jan. 27, 2016 to Aug. 24, 2016 for ALOS-2 and Aug. 20, 2016 to Aug. 28, 2016 for COSMO-SkyMed. Each pixel in the damage proxy map is about 100 feet (30 meters) across. The SAR data were processed by the Advanced Rapid Imaging and Analysis (ARIA) team at JPL and Caltech. The technique uses a prototype algorithm to rapidly detect surface changes caused by natural or human-produced damage. The assessment technique is most sensitive to destruction of the built environment. When the radar images areas with little to no destruction, its image pixels are transparent. Increased opacity of the radar image pixels reflects damage, with areas in red reflecting the heaviest damage to cities and towns. The color variations from yellow to red indicate increasingly more significant ground surface change. Preliminary validation was done by comparing the DPMs to a damage assessment map produced by the Copernicus Emergency Management Service, which is based on visual inspection of before and after high-resolution aerial imagery -- the extent indicated with gray boxes in the left panel. http://photojournal.jpl.nasa.gov/catalog/PIA20897

NASA and its partners are contributing important observations and expertise to the ongoing response to the April 25, 2015, magnitude 7.8 Gorkha earthquake in Nepal. The quake was the strongest to occur in that area since the 1934 Nepal-Bihar magnitude 8.0 event and caused significant regional damage and a humanitarian crisis. Scientists with the Advanced Rapid Imaging and Analysis project (ARIA), a collaboration between NASA's Jet Propulsion Laboratory, Pasadena, California, and the California Institute of Technology in Pasadena, analyzed interferometric synthetic aperture radar images from the PALSAR-2 instrument on the ALOS-2 satellite operated by the Japan Aerospace Exploration Agency (JAXA) to calculate a map of the deformation of Earth's surface caused by the quake. This false-color map shows the amount of permanent surface movement caused almost entirely by the earthquake, as viewed by the satellite, during a 70-day interval between two ALOS-2 images, acquired February 21 and May 2, 2015. In the map, surface displacements are seen as color contours (or "fringes"), where each color cycle represents 4.7 inches (11.9 centimeters) of surface motion. The contours show the land around Kathmandu has moved toward the satellite by up to 4.6 feet (1.4 meter), or 5.2 feet (1.6 meters) if we assume purely vertical motion. Areas without the color contours have snow or heavy vegetation that affects the radar measurements. Scientists use these maps to build detailed models of the fault and associated land movements to better understand the impact on future earthquake activity. The PALSAR-2 data were provided by JAXA through the Committee on Earth Observation Satellite (CEOS) in support of the response effort. The background image is from Google Earth. http://photojournal.jpl.nasa.gov/catalog/PIA19383

In mid-November 2013, extratropical cyclone Cleopatra brought devastating flooding to the Italian island of Sardinia as shown by the COSMO-SkyMed satellite.

Using a combination of GPS-measured ground motion data, satellite radar data, and seismic observations from instruments distributed around the world, scientists have constructed preliminary estimates of how much the fault responsible for the April 25, 2015, magnitude 7.8 Gorkha earthquake in Nepal moved below Earth's surface (Figure 1). This information is useful for understanding not only what happened in the earthquake but also the potential for future events. It can also be used to infer a map of how Earth's surface moved due to the earthquake over a broader region (Figure 2). The maps created from these data can be viewed at PIA19384. In the first figure, the modeled slip on the fault is shown as viewed from above and indicated by the colors and contours within the rectangle. The peak slip in the fault exceeds 19.7 feet (6 meters). The ground motion measured with GPS is shown by the red and purple arrows and was used to develop the fault slip model. In the second figure, color represents vertical movement and the scaled arrows indicate direction and magnitude of horizontal movement. In both figures, aftershocks are indicated by red dots. Background color and shaded relief reflect regional variations in topography. The barbed lines show where the main fault reaches Earth's surface. The main fault dives northward into the Earth below the Himalaya. http://photojournal.jpl.nasa.gov/catalog/PIA19384

NASA data and expertise are providing valuable information for the ongoing response to the April 25, 2015, magnitude 7.8 Gorkha earthquake in Nepal.

A magnitude 6.0 earthquake struck southern Napa county northeast of San Francisco, California, on Aug. 24, 2014. NASA satellite data reveal ground defomation.

This false-color map from NASA ARIA project shows the amount of permanent surface movement caused almost entirely by the magnitude 7.8 Gorkha earthquake in Nepal.

This satellite interferometric synthetic aperture radar image using COSMO-SkyMed radar data, depicts the relative deformation of Earth surface at Kilauea between Feb. 11, 2011 and March 7, 2011 two days following the start of the current eruption.

NASA's ARIA team, in collaboration with the Earth Observatory of Singapore, used satellite data to map the extent of likely damage following a massive explosion in Beirut. Dark red pixels represent the most severe damage. Areas in orange are moderately damaged, and areas in yellow are likely to have sustained somewhat less damage. Each colored pixel represents an area of 30 meters (33 yards). https://photojournal.jpl.nasa.gov/catalog/PIA23692

Damage Proxy Map (DPM) v0.5, derived from the Italian Space Agency's COSMO-SkyMed Spotlight synthetic aperture radar (SAR) data acquired from an ascending orbit, covering an area of 6.2-by-6.2 miles (10-by-10 kilometers), centered at Norcia, Italy. Red pixels (pixel size about 16 feet, or 5 meters)represent areas of potential damage due to the Magnitude 6.6 Oct 30, 2016, Central Italy earthquakes, as well as ground surface change during the time period Oct. 30, 2016 -- Oct. 31, 2016. The color variation from yellow to red indicate increasingly more significant ground surface change. Preliminary validation was carried out by comparing with high-resolution pre- and post-event optical imagery acquired by DigitalGlobe's WorldView satellites, and a damage map produced by the European Commission Copernicus Emergency Management Service based upon visual inspection of high-resolution pre- (Orthophoto) and post-event (Pleiades-1) optical imagery. This DPM provides broad geographic coverage of the earthquake's impact in the region. Areas that fall in radar shadow and layover were masked out. The DPM should be used as guidance to identify damaged areas, and may be less reliable over vegetated areas. http://photojournal.jpl.nasa.gov/catalog/PIA15374

This image, is of Super Typhoon Haiyan, one of the most powerful storms ever recorded on Earth, which struck the Philippines Nov. 8, 2013.

By comparing interferometric synthetic aperture radar (InSAR) data acquired on Jan. 9, 2020, with data acquired on Dec. 28, 2019, from the Copernicus Sentinel-1A satellite, NASA scientists were able to map where, how much and in what direction the ground shifted following a 6.4-magnitude earthquake off the coast of Puerto Rico. Managed by the European Space Agency (ESA), the Copernicus Sentinel-1A satellite was able to see the eastern two-thirds of the island during the Jan. 9 flyover. On the map, red indicates areas where the ground was changed, or displaced, with darker shades corresponding to more significant displacement. The scientists found that the greatest displacement from the flyover area occurred west of the city of Ponce (identified by the green star), not far from the quake's offshore epicenter. They recorded up to 5.5 inches (14 centimeters) of ground change there. The ground appeared to shift downward and slightly to the west. The epicenter of the quake and the cluster of quakes and aftershocks in the region identified by the United States Geological Survey (shown as orange circles) fall just west of the satellite's Jan. 9 track. Because of this, scientists also plan to analyze data from Sentinel-1A's forthcoming Jan. 14 flyover, which will include western Puerto Rico. https://photojournal.jpl.nasa.gov/catalog/PIA23428

NASA data and expertise are providing valuable information for the ongoing response to the April 25, 2015, magnitude 7.8 Gorkha earthquake in Nepal.

Researchers at NASA's Jet Propulsion Laboratory in Southern California used data from an airborne radar to measure the movement of the slow-moving landslides on the Palos Verdes Peninsula in Los Angeles County. The analysis determined that, during a period of four weeks in the fall of 2024, land in the residential area slid toward the ocean by as much as 4 inches (10 centimeters) per week. Portions of the peninsula, which juts into the Pacific Ocean just south of the city of Los Angeles, is part of an ancient complex of landslides and has been moving for at least the past six decades, affecting hundreds of buildings in local communities. The motion accelerated and the active area expanded following record-breaking rainfall in Southern California in 2023 and another heavy-precipitation winter in 2024. To create this visualization, the Advanced Rapid Imaging and Analysis (ARIA) team used data from four flights of NASA's Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR) that took place between Sept. 18 and Oct. 17. The UAVSAR instrument was mounted to a Gulfstream III jet flown out of NASA's Armstrong Flight Research Center in Edwards, California, and the four flights were planned to estimate the speed and direction of the landslides in three dimensions. In the image, colors indicate how fast parts of the landslide complex were moving in late September and October, with the darkest reds indicating the highest speeds. The arrows represent the direction of horizontal motion. The white solid lines are the boundaries of active landslide areas as defined in 2007 by the California Geological Survey. The insights from the UAVSAR flights were part of a package of analyses by the ARIA team that also used data from ESA's (the European Space Agency's) Copernicus Sentinel-1A/B satellites. The analyses were provided to California officials to support the state's response to the landslides and made available to the public at NASA's Disaster Mapping Portal. The ARIA mission is a collaboration between JPL and Caltech, which manages JPL for NASA, to leverage radar and optical remote-sensing, GPS, and seismic observations for science as well as to aid in disaster response. The project investigates the processes and impacts of earthquakes, volcanoes, landslides, fires, subsurface fluid movement, and other natural hazards. UAVSAR has flown thousands of radar missions around the world since 2007 studying phenomena such as glaciers and ice sheets, vegetation in ecosystems, and natural hazards like earthquakes, volcanoes, and landslides. https://photojournal.jpl.nasa.gov/catalog/PIA26495