Earth Science Showcase – Kids Art Collection

On April 16, 2025, the Earth Science Division at NASA’s Ames Research Center in Silicon Valley held an Earth Science Showcase to share its work with the center and their families. As part of this event, kids were invited to share something they like about the Earth. These are their masterpieces.Sora U. Age 9. ”Wildlife”

Wesley P. Age 2.5. ”Pale Blue”

Kira U. Age 5. ”Hawaii”

Anonymous. ”eARTh”

Brooks P. Age 8mo. ”Squiggles” Läs mer…

NASA Airborne Sensor’s Wildfire Data Helps Firefighters Take Action

Data from the AVIRIS-3 sensor was recently used to create detailed fire maps in minutes, enabling firefighters in Alabama to limit the spread of wildfires and save buildings.

A NASA sensor recently brought a new approach to battling wildfire, providing real-time data that helped firefighters in the field contain a blaze in Alabama. Called AVIRIS-3, which is short for Airborne Visible Infrared Imaging Spectrometer 3, the instrument detected a 120-acre fire on March 19 that had not yet been reported to officials.

As AVIRIS-3 flew aboard a King Air B200 research plane over the fire about 3 miles (5 kilometers) east of Castleberry, Alabama, a scientist on the plane analyzed the data in real time and identified where the blaze was burning most intensely. The information was then sent via satellite internet to fire officials and researchers on the ground, who distributed images showing the fire’s perimeter to firefighters’ phones in the field.

All told, the process from detection during the flyover to alert on handheld devices took a few minutes. In addition to pinpointing the location and extent of the fire, the data showed firefighters its perimeter, helping them gauge whether it was likely to spread and decide where to add personnel and equipment.

“This is very agile science,” said Robert Green, the AVIRIS program’s principal investigator and a senior research scientist at NASA’s Jet Propulsion Laboratory in Southern California, noting AVIRIS-3 mapped the burn scar left near JPL by the Eaton Fire in January.

Observing the ground from about 9,000 feet (3,000 meters) in altitude, AVIRIS-3 flew aboard several test flights over Alabama, Mississippi, Florida, and Texas for a NASA 2025 FireSense Airborne Campaign. Researchers flew in the second half of March to prepare for prescribed burn experiments that took place in the Geneva State Forest in Alabama on March 28 and at Fort Stewart-Hunter Army Airfield in Georgia from April 14 to 20. During the March span, the AVIRIS-3 team mapped at least 13 wildfires and prescribed burns, as well as dozens of small hot spots (places where heat is especially intense) — all in real time.

Data from imaging spectrometers like AVIRIS-3 typically takes days or weeks to be processed into highly detailed, multilayer image products used for research. By simplifying the calibration algorithms, researchers were able to process data on a computer aboard the plane in a fraction of the time it otherwise would have taken. Airborne satellite internet connectivity enabled the images to be distributed almost immediately, while the plane was still in flight, rather than after it landed.

The AVIRIS team generated its first real-time products during a February campaign covering parts of Panama and Costa Rica, and they have continued to improve the process, automating the mapping steps aboard the plane.

‘Fan Favorite’

The AVIRIS-3 sensor belongs to a line of imaging spectrometers built at JPL since 1986. The instruments have been used to study a wide range of phenomena — including fire — by measuring sunlight reflecting from the planet’s surface.

During the March flights, researchers created three types of maps. One, called the Fire Quicklook, combines brightness measurements at three wavelengths of infrared light, which is invisible to the human eye, to identify the relative intensity of burning. Orange and red areas on the Fire Quicklook map show cooler-burning areas, while yellow indicates the most intense flames. Previously burned areas show up as dark red or brown.

Another map type, the Fire 2400 nm Quicklook, looks solely at infrared light at a wavelength of 2,400 nanometers. The images are particularly useful for seeing hot spots and the perimeters of fires, which show brightly against a red background.

A third type of map, called just Quicklook, shows burned areas and smoke.

The Fire 2400 nm Quicklook was the “fan favorite” among the fire crews, said Ethan Barrett, fire analyst for the Forest Protection Division of the Alabama Forestry Commission. Seeing the outline of a wildfire from above helped Alabama Forestry Commission firefighters determine where to send bulldozers to stop the spread. 

Additionally, FireSense personnel analyzed the AVIRIS-3 imagery to create digitized perimeters of the fires. This provided firefighters fast, comprehensive intelligence of the situation on the ground.

That’s what happened with the Castleberry Fire. Having a clear picture of where it was burning most intensely enabled firefighters to focus on where they could make a difference — on the northeastern edge. 

Then, two days after identifying Castleberry Fire hot spots, the sensor spotted a fire about 4 miles (2.5 kilometers) southwest of Perdido, Alabama. As forestry officials worked to prevent flames from reaching six nearby buildings, they noticed that the fire’s main hot spot was inside the perimeter and contained. With that intelligence, they decided to shift some resources to fires 25 miles (40 kilometers) away near Mount Vernon, Alabama.

To combat one of the Mount Vernon fires, crews used AVIRIS-3 maps to determine where to establish fire breaks beyond the northwestern end of the fire. They ultimately cut the blaze off within about 100 feet (30 meters) of four buildings. 

“Fire moves a lot faster than a bulldozer, so we have to try to get around it before it overtakes us. These maps show us the hot spots,” Barrett said. “When I get out of the truck, I can say, ‘OK, here’s the perimeter.’ That puts me light-years ahead.”

AVIRIS and the Firesense Airborne Campaign are part of NASA’s work to leverage its expertise to combat wildfires using solutions including airborne technologies. The agency also recently demonstrated a prototype from its Advanced Capabilities for Emergency Response Operations project that will provide reliable airspace management for drones and other aircraft operating in the air above wildfires.

News Media Contacts

Andrew Wang / Jane J. LeeJet Propulsion Laboratory, Pasadena, Calif.626-379-6874 / 818-354-0307andrew.wang@jpl.nasa.gov / jane.j.lee@jpl.nasa.gov

2025-058 Läs mer…

Entrepreneurs Challenge Winner PRISM is Using AI to Enable Insights from Geospatial Data

NASA sponsored Entrepreneurs Challenge events in 2020, 2021, and 2023 to invite small business start-ups to showcase innovative ideas and technologies with the potential to advance the agency’s science goals. To potentially leverage external funding sources for the development of innovative technologies of interest to NASA, SMD involved the venture capital community in Entrepreneurs Challenge events. Challenge winners were awarded prize money, and in 2023 the total Entrepreneurs Challenge prize value was $1M. Numerous challenge winners have subsequently refined their products and/or received funding from NASA and external sources (e.g., other government agencies or the venture capital community) to further develop their technologies.

One 2023 Entrepreneurs Challenge winner, PRISM Intelligence (formerly known as Pegasus Intelligence and Space), is using artificial intelligence (AI) and other advances in computer vision to create a new platform that could provide geospatial insights to a broad community.

Every day, vast amounts of remote sensing data are collected through satellites, drones, and aerial imagery, but for most businesses and individuals, accessing and extracting meaningful insights from this data is nearly impossible.  

The company’s product—Personal Real-time Insight from Spatial Maps, a.k.a. PRISM—is transforming geospatial data into an easy-to-navigate, queryable world. By leveraging 3D computer vision, geospatial analytics, and AI-driven insights, PRISM creates photorealistic, up-to-date digital environments that anyone can interact with. Users can simply log in and ask natural-language questions to instantly retrieve insights—no advanced Geographic Information System (GIS) expertise is required.

For example, a pool cleaner looking for business could use PRISM to search for all residential pools in a five-mile radius. A gardener could identify overgrown trees in a community. City officials could search for potholes in their jurisdiction to prioritize repairs, enhance public safety, and mitigate liability risks. This broad level of accessibility brings geospatial intelligence out of the hands of a few and into everyday decision making.

The core of PRISM’s platform uses radiance fields to convert raw 2D imagery into high-fidelity, dynamic 3D visualizations. These models are then enhanced with AI-powered segmentation, which autonomously identifies and labels objects in the environment—such as roads, vehicles, buildings, and natural features—allowing for seamless search and analysis. The integration of machine learning enables PRISM to refine its reconstructions continuously, improving precision with each dataset. This advanced processing ensures that the platform remains scalable, efficient, and adaptable to various data sources, making it possible to produce large-scale, real-time digital twins of the physical world.

”It’s great being able to push the state of the art in this relatively new domain of radiance fields, evolving it from research to applications that can impact common tasks. From large sets of images, PRISM creates detailed 3D captures that embed more information than the source pictures.” — Maximum Wilder-Smith, Chief Technology Officer, PRISM Intelligence

Currently the PRISM platform uses proprietary data gathered from aerial imagery over selected areas. PRISM then generates high-resolution digital twins of cities in select regions. The team is aiming to eventually expand the platform to use NASA Earth science data and commercial data, which will enable high-resolution data capture over larger areas, significantly increasing efficiency, coverage, and update frequency. PRISM aims to use the detailed multiband imagery that NASA provides and the high-frequency data that commercial companies provide to make geospatial intelligence more accessible by providing fast, reliable, and up-to-date insights that can be used across multiple industries.

What sets PRISM apart is its focus on usability. While traditional GIS platforms require specialized training to use, PRISM eliminates these barriers by allowing users to interact with geospatial data through a frictionless, conversational interface.

The impact of this technology could extend across multiple industries. Professionals in the insurance and appraisal industries have informed the company how the ability to generate precise, 3D assessments of properties could streamline risk evaluations, reduce costs, and improve accuracy—replacing outdated or manual site visits. Similarly, local governments have indicated they could potentially use PRISM to better manage infrastructure, track zoning compliance, and allocate resources based on real-time, high-resolution urban insights. Additionally, scientists could use the consistent updates and layers of three-dimensional data that PRISM can provide to better understand changes to ecosystems and vegetation.

As PRISM moves forward, the team’s focus remains on scaling its capabilities and expanding its applications. Currently, the team is working to enhance the technical performance of the platform while also adding data sources to enable coverage of more regions. Future iterations will further improve automation of data processing, increasing the speed and efficiency of real-time 3D reconstructions. The team’s goal is to expand access to geospatial insights, ensuring that anyone—from city planners to business owners—can make informed decisions using the best possible data. Läs mer…