{ "count": 19, "next": null, "previous": null, "results": [ { "id": 15021, "url": "https://svs.gsfc.nasa.gov/15021/", "result_type": "Visualization", "release_date": "2026-05-06T12:00:00-04:00", "title": "The Meandering Ucayali River", "description": "Peru’s restless Ucayali River is constantly changing shape. Landsat satellites captured the the headwater of the Amazon over four decades as it twisted its way across the landscape, meandering, shifting channels, and forming oxbow lakes.", "hits": 120 }, { "id": 14995, "url": "https://svs.gsfc.nasa.gov/14995/", "result_type": "Produced Video", "release_date": "2026-04-02T00:00:00-04:00", "title": "Moon Mascot Ready to Rise with Artemis II", "description": "Music: \"Candied Curiosity,\" \"Balloon Ride,\" \"Wonderfilled Discovery,\" Universal Production MusicComplete transcript available. || ZGI_YouTube_Version_Thumb.png (1280x720) [1013.2 KB] || ZGI_YouTube_Version_Thumb_print.jpg (1024x576) [145.7 KB] || ZGI_YouTube_Version_Thumb_searchweb.png (320x180) [84.0 KB] || ZGI_YouTube_Version_Thumb_thm.png (80x40) [7.1 KB] || ZGI_YouTube.en_US.srt [5.9 KB] || ZGI_YouTube.en_US.vtt [5.6 KB] || ZGI_YouTube_Version.webm (3840x2160) [39.9 MB] || ZGI_YouTube_Version.mp4 (3840x2160) [153.0 MB] || ", "hits": 577 }, { "id": 5213, "url": "https://svs.gsfc.nasa.gov/5213/", "result_type": "Visualization", "release_date": "2024-08-14T15:00:00-04:00", "title": "Changes in the Atmosphere and Ocean During a Transition From La Niña to El Niño", "description": "This is the final version of the ENSO visualization with narration. There are HD and 4k versions available as mp4s. There is also a high quality 4k version which is very large (3.8 Gbytes). Other non-narrated formats including individual frames are available below this entry.This movie is also available on youtube here:https://youtu.be/jK20dl3g9R8?si=38LHf1e0iIzrfhRQlink || ENSO_99_final_4k.01200_print.jpg (1024x576) [82.0 KB] || ENSO_Locked_Final_1080.mp4 (1920x1080) [155.7 MB] || ENSO_Final_Audio.en_US.srt [8.6 KB] || ENSO_Final_Audio.en_US.vtt [8.7 KB] || ENSO_Locked_Final_2160.mp4 (3840x2160) [184.8 MB] || ENSO_Locked_Final_2160_HIGH_QUAL.mp4 (3840x2160) [3.7 GB] || ENSO_Locked_Final_2160.mp4.hwshow [188 bytes] || ", "hits": 268 }, { "id": 31161, "url": "https://svs.gsfc.nasa.gov/31161/", "result_type": "Hyperwall Visual", "release_date": "2021-10-25T00:00:00-04:00", "title": "Shrinking Tropical Ice Areas", "description": "Ten selected false-color Landsat images from 1980 to 2020 show the progressive loss of ice from the highest part of the Surdiman Range, part of the Maoke ‘Snow’ Mountains in the Indonesian Province of Papua on the island of New Guinea. This location is about 4 degrees south of the Equator but the rocky peaks near Puncak Jaya (4884 m or 16,020 ft at the highest point) are known to have had extensive glacial ice cover for thousands of years. Excluding the small ice area once found near Ngga Pilimsit, from an initial ice area of ~6.3 km2 in 1980 near the highest peaks east of the vast Grasberg Mine, only about 0.3 km2 of glacial ice remains in these mountains. The imagery series also gives the approximate dates of when specific ice remnants disappeared. Each image in the time series has an area of about 16.9 x 9.5 km (10.5 x 5.9 mi). || v2-puncakjaya-time-series_00000_print.jpg (1024x576) [135.3 KB] || v2-puncakjaya-time-series_00000_searchweb.png (320x180) [87.4 KB] || v2-puncakjaya-time-series_00000_thm.png (80x40) [6.5 KB] || v2-puncakjaya-time-series_1080p30.mp4 (1920x1080) [24.3 MB] || v2-puncakjaya-time-series_1080p30.webm (1920x1080) [5.6 MB] || puncakjaya (3840x2160) [128.0 KB] || v2-puncakjaya-time-series_2160p30.mp4 (3840x2160) [58.3 MB] || ", "hits": 109 }, { "id": 4902, "url": "https://svs.gsfc.nasa.gov/4902/", "result_type": "Visualization", "release_date": "2021-04-26T09:00:00-04:00", "title": "May 26, 2021 Total Lunar Eclipse: Telescopic View", "description": "On May 26, 2021, the Moon enters the Earth's shadow, creating a total lunar eclipse. This visualization simulates the view through a telescope during the eclipse.", "hits": 188 }, { "id": 4823, "url": "https://svs.gsfc.nasa.gov/4823/", "result_type": "Visualization", "release_date": "2020-09-11T00:00:00-04:00", "title": "Draining the Oceans", "description": "Data visualization of the draining of the Earth's oceans. The visualization simulates an incremental drop of 10 meters of the water’s level on Earth’s surface. As time progresses and the oceans drain, it becomes evident that underwater mountain ranges are bigger in size and trenches are deeper in comparison to those on dry land. While water drains quickly closer to continents, it drains slowly in our planet’s deepest trenches. || OceanDrain_3840x2160_60fps_0837_print.jpg (1024x576) [259.5 KB] || OceanDrain_3840x2160_60fps_0837_print_searchweb.png (320x180) [97.8 KB] || OceanDrain_3840x2160_60fps_0837_print_thm.png (80x40) [7.8 KB] || OceanDrain_1920x1080_30fps.mp4 (1920x1080) [44.2 MB] || OceanDrain_1920x1080_30fps.webm (1920x1080) [4.3 MB] || OceanDrain (3840x2160) [0 Item(s)] || OceanDrain (3840x2160) [0 Item(s)] || OceanDrain_3840x2160_60fps_0837.tif (3840x2160) [31.6 MB] || OceanDrain_3840x2160_30fps.mp4 (3840x2160) [154.1 MB] || OceanDrain_1920x1080_30fps.mp4.hwshow [192 bytes] || ", "hits": 766 }, { "id": 4835, "url": "https://svs.gsfc.nasa.gov/4835/", "result_type": "Visualization", "release_date": "2020-06-18T00:00:00-04:00", "title": "NO2 Decline Related to Restrictions Due to COVID-19 in South America", "description": "On June 1, the World Health Organization noted that Central and South American countries have become “the intense zones” for COVID-19 transmission. The Ozone Monitoring Instrument (OMI) on board NASA’s Aura satellite provides data that indicate that restrictions on human activity have led to about a 36% decrease in NO2 levels in Rio de Janeiro, Brazil, relative to previous years. Other large cities in South America show similar decreases in NO2: 36% in Santiago, Chile; 35% in São Paolo, Brazil; and 40% in Buenos Aires, Argentina. One notable exception is in Lima, Peru, showing a 69% decrease. The large decrease may partly be associated with natural variations in weather that can, for instance, disperse air pollution more quickly. Additional analysis is required to determine the amount of the decrease of NO2 in Lima that is associated with a decrease in human activity. A notable increase in NO2 occurred in northern South America, which is likely associated with increased agricultural burning in 2020 relative to previous years. || ", "hits": 99 }, { "id": 40170, "url": "https://svs.gsfc.nasa.gov/gallery/air-quality/", "result_type": "Gallery", "release_date": "2020-04-01T00:00:00-04:00", "title": "Air Quality ", "description": "Air is all around us, but it’s hard to see when harmful particulates are, too. That’s why we use NASA’s Earth-observing satellites to track air quality on our home planet. The data they generate are incorporated into products like the U.S. Air Quality Index the public uses to make decisions that protect their health and well-being.", "hits": 139 }, { "id": 31014, "url": "https://svs.gsfc.nasa.gov/31014/", "result_type": "Hyperwall Visual", "release_date": "2018-12-14T00:00:00-05:00", "title": "Peru's Shrinking Tropical Ice Caps", "description": "Map of the region || PeruBaseMapCoropunaQuelccayaannosm_print.jpg (1024x574) [150.0 KB] || PeruBaseMapCoropunaQuelccayaannosm.png (4104x2304) [44.6 MB] || ", "hits": 28 }, { "id": 40348, "url": "https://svs.gsfc.nasa.gov/gallery/esddatafor-societal-benefits/", "result_type": "Gallery", "release_date": "2018-04-24T00:00:00-04:00", "title": "ESD data for Societal Benefit", "description": "No description available.", "hits": 225 }, { "id": 12603, "url": "https://svs.gsfc.nasa.gov/12603/", "result_type": "Produced Video", "release_date": "2017-09-13T11:00:00-04:00", "title": "Predicting Malaria Outbreaks With NASA Satellites", "description": "In the Amazon Rainforest, few animals are as dangerous to humans as mosquitos that transmit malaria. The tropical disease can bring on severe fever, headaches and chills and is particularly severe for children and the elderly and can cause complications for pregnant women. In rainforest-covered Peru the number of malaria cases has spiked such that, in the past five years, it has had on average the second highest rate in the South American continent. In 2014 and 2015 there were 65,000 reported cases in the country.Containing malaria outbreaks is challenging because it is difficult to figure out where people are contracting the disease. As a result, resources such as insecticide-treated bed nets and indoor sprays are often deployed to areas where few people are getting infected, allowing the outbreak to grow.To tackle this problem, university researchers have turned to data from NASA’s fleet of Earth-observing satellites, which are able to track the types of human and environmental events that typically precede an outbreak. With funding from NASA’s Applied Sciences Program, they are working in partnership with the Peruvian government to develop a system that uses satellite and other data to help forecast outbreaks at the household level months in advance and prevent outbreaks.Additional imagery from: Christopher B. Plunkett FortJames GathanyFábio Medeiros da Costa || ", "hits": 50 }, { "id": 4581, "url": "https://svs.gsfc.nasa.gov/4581/", "result_type": "Visualization", "release_date": "2017-07-24T00:00:00-04:00", "title": "Using Satellite and Ground-based Data to Develop Malaria Risk Maps", "description": "Malaria is a major problem in the Amazon where malaria mosquitoes tend to prefer wet, hot areas with more standing water. Seasonal occupational movement along rivers and in forested areas increases transmission and concentrates malaria in specific regions. The objective of Malaria Project, an ongoing study led by William Pan and Ben Zaitchik, is to develop a detection and early warning system for malaria risk in the Amazon. Using data from NASA satellites and a Land Data Assimilation System (LDAS), the scientists hope that their research can help health officials pinpoint where to deploy resources and what resources to deploy during a disease outbreak. By incorporating NASA data such as precipitation, soil moisture, air temperature, and humidity into their new system, scientists are better able to predict where malaria-spreading mosquitoes are breeding. These climate factors in conjunction with a population density and human movement model will help scientists better understand where and when people are at high risk for malaria. The malaria warning system will predict outbreaks and simulate response to help a country's health care system to more strategically determine where to deploy their resources. Visualizations focus on Peru, one of the central areas of malaria transmission in the Amazon. Four LDAS data sets -- precipitation, soil moisture, air temperature, and humidity are illustrated below. Combined with public health data, the animations show how these factors may affect the outbreak and evolvement of the disease. || ", "hits": 30 }, { "id": 12176, "url": "https://svs.gsfc.nasa.gov/12176/", "result_type": "Produced Video", "release_date": "2016-04-04T00:00:00-04:00", "title": "How El Niño Impacts Marine Plant Life", "description": "El Niño years can have a big impact on the littlest plants in the ocean, and NASA scientists are studying the relationship between the two. Ocean color maps, based on a month’s worth of satellite data, show El Niño’s impact on phytoplankton. In El Niño years, huge masses of warm water – equivalent to about half of the volume of the Mediterranean Sea – slosh east across the Pacific Ocean towards South America. That mass of warm water puts a lid on the normal currents of cold, deep water that typically rise to the surface along the equator and off the coast of Chile and Peru.\"An El Niño basically stops the normal upwelling,\" Uz said. \"There’s a lot of starvation that happens to the marine food web.\" These small plants, called phytoplankton, are fish food – without them, fish populations drop, and the fishing industries that many coastal regions depend on can collapse. || ", "hits": 84 }, { "id": 4443, "url": "https://svs.gsfc.nasa.gov/4443/", "result_type": "Visualization", "release_date": "2016-03-30T00:00:00-04:00", "title": "NASA-USDA-FAS Soil Moisture / IMERG", "description": "Soil Moisture / Precipitation in Australia, Absolute || australia_abs.0001_print.jpg (1024x576) [100.7 KB] || australia_abs.0001_searchweb.png (320x180) [64.4 KB] || australia_abs.0001_thm.png (80x40) [5.8 KB] || australia_abs (1920x1080) [0 Item(s)] || australia_abs_1080p30.webm (1920x1080) [14.4 MB] || australia_abs_1080p30.mp4 (1920x1080) [117.6 MB] || ", "hits": 66 }, { "id": 3192, "url": "https://svs.gsfc.nasa.gov/3192/", "result_type": "Visualization", "release_date": "2005-07-11T00:00:00-04:00", "title": "Sea Surface Temperature Anomaly, 2005 (WMS)", "description": "The temperature of the surface of the world's oceans provides a clear indication of the state of the Earth's climate and weather. The sea surface temperature anomaly, or difference from the mean, can show climate indicators such as the El Niño oscillation, which manifests as a warmer-than-normal sea surface temperature in the Pacific Ocean west of Ecuador and Peru. This sequence shows a slight La Niña effect, or cooler-than-normal sea surface temperature in the eastern Pacific. || ", "hits": 29 }, { "id": 2905, "url": "https://svs.gsfc.nasa.gov/2905/", "result_type": "Visualization", "release_date": "2004-02-12T12:00:00-05:00", "title": "Global Sea Surface Temperature from June, 2002 to September, 2003 (WMS)", "description": "The temperature of the surface of the world's oceans provides a clear indication of the state of the Earth's climate and weather. The AMSR-E instrument on the Aqua satellite measures the temperature of the top 1 millimeter of the ocean every day, even through the clouds. In this visualization sequence covering the period from June, 2002, to September, 2003, the most obvious effects are the north-south movement of warm regions across the equator due to the seasonal movement of the sun and the seasonal advance and retreat of the sea ice near the North and South poles. It is also possible to see the Gulf Stream, the warm river of water that parallels the east coast of the United States before heading towards northern Europe, in this data. Around January 1, 2003, a cooler than normal region of the ocean appears just to the west of Peru as part of a La Niña and flows westward, driven by the trade winds. The waves that appear on the edges of this cooler area are called tropical instability waves and can also be seen in the equatorial Atlantic Ocean about the same time. || ", "hits": 77 }, { "id": 2906, "url": "https://svs.gsfc.nasa.gov/2906/", "result_type": "Visualization", "release_date": "2004-02-12T12:00:00-05:00", "title": "Global Sea Surface Temperature Anomalies from June, 2002 to September, 2003 (WMS)", "description": "The temperature of the surface of the world's oceans provides a clear indication of the state of the Earth's climate and weather. The AMSR-E instrument on the Aqua satellite measures the temperature of the top 1 millimeter of the ocean every day, even through the clouds. If the average sea surface temperature for a particular date is subtracted from the measured temperature for that date, the resulting sea surface temperature anomaly can be used to accurately assess the current state of the oceans. The anomaly can serve as an early warning system for weather phenomena and can be used to indicate forthcoming problems with fish populations and coral reef health. In this visualization of the anomaly covering the period from June, 2002, to September, 2003, the most obvious effects are a successive warming and cooling along the equator to the west of Peru, the signature of an El Niño/La Niña cycle. Around January 1, 2003, a cooler than normal region of the ocean appears in this region as part of a La Niña and flows westward, driven by the trade winds. The waves that appear on the edges of this cooler area are called tropical instability waves. || ", "hits": 26 }, { "id": 2907, "url": "https://svs.gsfc.nasa.gov/2907/", "result_type": "Visualization", "release_date": "2004-02-12T12:00:00-05:00", "title": "Hurricane Regions Indicated by Sea Surface Temperature from June 2002 to September 2003 (WMS)", "description": "The temperature of the world's ocean surface provides a clear indication of the regions where hurricanes and typhoons form, since they can only form when the sea surface temperature exceeds 82 degrees F (27.8 degrees C). The AMSR-E instrument on the Aqua satellite measures the temperature of the top 1 millimeter of the ocean every day, even through the clouds. In this visualization of AMSR-E data covering the period from June, 2002, to September, 2003, areas with surface temperatures greater than 82 degrees F are shown in yellow and orange, while sea surface temperatures below 82 degrees F are shown in blue. The region in the Atlantic from the Caribbean to the equator only exceeds the critical temperature during late summer and early fall in the Northern Hemisphere, the period known as Hurricane Season. It is also possible to see the Gulf Stream, the warm river of water that parallels the east coast of the United States before heading towards northern Europe, in this data. Around January 1, 2003, a cooler than normal region of the ocean appears just to the west of Peru as part of an La Niña and flows westward, driven by the trade winds. The waves that appear on the edges of this cooler area are called tropical instability waves and can also be seen in the equatorial Atlantic Ocean about the same time. || ", "hits": 38 }, { "id": 2678, "url": "https://svs.gsfc.nasa.gov/2678/", "result_type": "Visualization", "release_date": "2003-01-21T12:00:00-05:00", "title": "Iquitos, Peru Deforestation (Draft)", "description": "Urban growth in the region of Iquitos, Peru has caused deforestation in the surrounding area. Deforestation is depicted as light green in this animation. This animation is a draft version that was intended for an upcoming special called 'Journey to Planet Earth (Season 2)'. However, it was later cut from the show and only exists in this draft form. || ", "hits": 15 } ] }