Monitoring of Antarctica’s Fragile Vegetation Using Drone-Based Remote Sensing, Multispectral Imagery and AI

• Published in: Sensors
• Main Authors: Damini Raniga, Narmilan Amarasingam, Juan Sandino, Ashray Doshi, Johan Barthelemy, Krystal Randall, Sharon A. Robinson, Felipe Gonzalez, Barbara Bollard
• Format: Article in Journal/Newspaper
• Language: English
• Published: MDPI AG 2024
• Subjects: antarctic specially protected area (ASPA); machine learning; gradient boosting; convolutional neural network; unmanned aerial vehicle (UAV); lichen; Chemical technology; TP1-1185; Antarctic; Casey Station; East Antarctica; Antarc*; Antarctica
• Online Access: https://doi.org/10.3390/s24041063; https://doaj.org/article/a7bca5c7cf3f40ca9e85f353472030d0

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...