2024
DOI: 10.3390/s24041063
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Monitoring of Antarctica’s Fragile Vegetation Using Drone-Based Remote Sensing, Multispectral Imagery and AI

Damini Raniga,
Narmilan Amarasingam,
Juan Sandino
et al.

Abstract: Vegetation in East Antarctica, such as moss and lichen, vulnerable to the effects of climate change and ozone depletion, requires robust non-invasive methods to monitor its health condition. Despite the increasing use of unmanned aerial vehicles (UAVs) to acquire high-resolution data for vegetation analysis in Antarctic regions through artificial intelligence (AI) techniques, the use of multispectral imagery and deep learning (DL) is quite limited. This study addresses this gap with two pivotal contributions: … Show more

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Cited by 3 publications
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“…The deep learning based method has been widely used in the field of image processing feild [18][19][20]. Especially the YOLO and UNet series networks, it has achieved great success in the field of image classification, object detection and instance segmentation.…”
Section: Related Workmentioning
confidence: 99%
“…The deep learning based method has been widely used in the field of image processing feild [18][19][20]. Especially the YOLO and UNet series networks, it has achieved great success in the field of image classification, object detection and instance segmentation.…”
Section: Related Workmentioning
confidence: 99%