This article has been reviewed according to Science X's editorial process and policies. Editors have highlighted the following attributes while ensuring the content's credibility: Monitoring Antarctica's tiny, scattered ecosystems is a challenge that has long plagued researchers. But a new study led by the University of Wollongong (UOW) offers a new approach to tracking life in one of the most remote environments on Earth.
The research is published in the ISPRS Journal of Photogrammetry and Remote Sensing. Combining ground surveys, drone imagery, satellite data and artificial intelligence, the team of researchers from the Australian Research Council's Securing Antarctica's Environmental Future (SAEF) developed an end-to-end geospatial AI framework that will allow them to study the continent's complex biodiversity from anywhere in the world. For the first time, the researchers can create cross-scale, long-term maps of the subtle changes in Antarctica's unique ecosystems, from granular patches of moss to huge swaths of the icy landscape.
This will provide valuable data about the continent's remarkable yet understudied flora and fauna as Antarctica grapples with a significant shift in environmental conditions. "We're only beginning to understand the role that many of Antarctica's least-studied species play in its ecosystems. Long-term monitoring is how we find out, and it's essential if we want to protect Antarctica's biodiversity as a whole, not just the parts people already know and love.
"Antarctic mosses, lichens and cyanobacteria often occur in very small and fragmented patches. While these communities can be studied in detail on the ground, their limited size and scattered distribution make large-scale monitoring difficult. "We can observe this ecological detail in the field and with drones, but these approaches cover relatively small areas.
Satellites, on the other hand, can repeatedly observe much larger landscapes, but at a much coarser spatial scale. Our idea was to connect these different scales, using detailed field observations to inform drone-based mapping, and then using those drone-derived observations to support satellite-scale monitoring," said the study's lead author, Dr. The team developed and tested the framework over seven years at Canada Glacier in the McMurdo Dry Valleys, an ice-free polar desert that is home to some of the most biologically productive vegetation in Antarctica.
The new approach allowed them to capture a consistent and comprehensive picture of the ecosystem and terrain, from centimeter-sized patches to landscape-level patterns. Tracking vegetation across multiple years helps scientists separate short-term variation from longer-term change as conditions in Antarctica are reshaped by the warming planet. The new framework could help inform how Antarctica is protected and managed by providing large-scale data to support decision-making, biodiversity modeling and environmental management strategies.
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