A Green Fingerprint of Antarctica: Drones, Hyperspectral Imaging, and Machine Learning for Moss and Lichen Classification
Mapping Antarctic Specially Protected Areas (ASPAs) remains a critical yet challenging task, especially in extreme environments like Antarctica. Traditional methods are often cumbersome, expensive, and risky, with limited satellite data further hindering accuracy. This study addresses these challeng...
Main Authors: | Juan Sandino, Barbara Bollard, Ashray Doshi, Krystal Randall, Johan Barthelemy, Sharon A. Robinson, Felipe Gonzalez |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-12-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/15/24/5658 |
Similar Items
-
Monitoring of Antarctica’s Fragile Vegetation Using Drone-Based Remote Sensing, Multispectral Imagery and AI
by: Damini Raniga, et al.
Published: (2024-02-01) -
Historicizing medical drones in Africa: a focus on Ghana
by: Самуэль Аду-Гьямфи, et al.
Published: (2021-06-01) -
Measuring the Adoption of Drones: A Case Study of the United States Agricultural Aircraft Sector
by: Roberto Rodriguez
Published: (2023-03-01) -
A decentralized radio network for small groups of unmanned aerial vehicles
by: Patryk Szywalski, et al.
Published: (2023-11-01) -
Unmanned Aerial Systems (UAS) Research Opportunities
by: Javaan Chahl
Published: (2015-04-01)