3-D Views of Puerto Rico's Forests After Hurricane Maria

  • Released Monday, December 10, 2018
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To get a detailed look at vegetation and land cover, NASA uses an airborne instrument called Goddard’s Lidar, Hyperspectral and Thermal Airborne Imager, or G-LiHT. From the belly of a small aircraft flying one thousand feet above the trees, G-LiHT collects multiple measurements of forests, including high-resolution photographs, surface temperatures and the heights and structure of the vegetation.

Watch this video on the NASA Goddard YouTube channel.

Complete transcript available.

Music: Letting the Past Go, by Ben Hales [PRS], Matt Hales [PRS]

In September 2017, Hurricane Maria struck Puerto Rico head-on as a Category 4 storm with winds topping 155 miles per hour. The storm damaged homes, flooded towns, devastated the island's forests and caused the longest electricity black-out in U.S. history.

Hurricane Maria's lashing rain and winds transformed Puerto Rico's lush tropical rainforest landscape. Research scientist Doug Morton of Goddard was part of the team of NASA researchers who had surveyed Puerto Rico's forests six months before the storm with Goddard’s Lidar, Hyperspectral, and Thermal (G-LiHT) Airborne Imager, a system designed to study the structure and species composition of Puerto Rican forests. Shooting 600,000 laser pulses per second, G-LiHT produces a 3D view of the forest structure in high resolution. In April 2018, post-Maria, they went back and surveyed the same tracks as in 2017.

Comparing the before and after data, the team found that 40 to 60 percent of the tall trees that formed the canopy of the forest either lost large branches, were snapped in half or were uprooted by strong winds.



"Maria gave the island's forests a haircut," said Morton. "The island lost so many large trees that forests were shortened by one-third. We basically saw 60 years' worth of what we would consider natural treefall disturbances happen in one day."

Credits

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NASA's Goddard Space Flight Center

This page was originally published on Monday, December 10, 2018.
This page was last updated on Wednesday, May 3, 2023 at 1:46 PM EDT.

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