Metadata details
AAS_4628_UAS
All scientific data collected by the Australian Antarctic program (AAp) are eventually described in the Catalogue of Australian Antarctic and Subantarctic Metadata (CAASM). CAASM can be used to search through AAp data descriptions, and it also provides links to access publicly available datasets, which can either be immediately downloaded or obtained from the Australian Antarctic Data Centre (AADC).
- Citation
- Bollard, B., Gonzalez, F., and Robinson, S. (2025) Securing Antarctica's Environmental Future (SAEF) Unmanned Aircraft System Operations in Antarctica, Ver. 1, Australian Antarctic Data Centre - https://data.aad.gov.au/metadata/AAS_4628_UAS, Accessed: 2026-08-24
- Title
- Securing Antarctica's Environmental Future (SAEF) Uncrewed Aircraft System Operations in Antarctica
- Data Centre
- Australian Antarctic Data Centre, Australia
- Created Date
- 2025-05-12
- Revision Date
- 2025-11-28
- Parent record
- None
- Child record
- AAS_4628_Ant_Water_PL_PRISMA_Review
AAS_4628_ASPA131_GeoAI
AAS_4628_Polar_GeoAI_Prisma_Review
AAS_4628_Robinson_Ridge_UAV_Orthomosaics
AAS_4628_UAS_ASPA135_AERIAL_HSISEG_MOSSLICHEN_2023
AAS_4628_UAS_Robinson_Ridge_Lichen_Maps
Datasets and documents
Related links
Description
This is a parent record. See the child records for access to the data.
Recent research in the field of drones revealed that hyperspectral and multispectral remote sensing can provides an efficient, non-invasive and sufficiently accurate method for quantitative spatial assessment of the distribution and abundance of Antarctic vegetation. The main aim of this project is to quantify and model the spatial distribution, regional differences, and temporal dynamics of Antarctic vegetation using novel remote sensing techniques. The project will assess and model the topography-driven microclimate of coastal maritime and/or continental Antarctic vegetation, using field and remote sensing spectroscopy and active chlorophyll fluorescence indicators on plant distribution, health and relationship to local hydrology dynamics. The project will develop statistical modelling, AI and/or novel machine learning methods for vegetation classification at different scales (high-res satellite sub 50cm, manned aircraft, UAV). The project will also explore and develop other smart remote sensing platforms (e.g., UGV) in Antarctic extreme environments (e.g., high winds, extreme cold, etc.) that are low impact, cost effective and repeatable with high precision.
Access
See the child records for access to the data.
Temporal Coverages
- Start date: 2023-01-01 - Stop date: 2023-01-15
Spatial Coverages
Science Keywords
- EARTH SCIENCE > BIOSPHERE > ECOSYSTEMS > TERRESTRIAL ECOSYSTEMS
- EARTH SCIENCE > BIOLOGICAL CLASSIFICATION > FUNGI > LICHENS
- EARTH SCIENCE > DATA ANALYSIS AND VISUALIZATION > GEOGRAPHIC INFORMATION SYSTEMS
- EARTH SCIENCE > BIOLOGICAL CLASSIFICATION > PLANTS > MOSSES/HORNWORTS/LIVERWORTS
- EARTH SCIENCE > SPECTRAL/ENGINEERING > VISIBLE WAVELENGTHS > VISIBLE IMAGERY
- EARTH SCIENCE > DATA ANALYSIS AND VISUALIZATION > IMAGE PROCESSING
Additional Keywords
- UAS
- DRONES
- ROTARY WING UAVS
- UAV
- HIGH-RESOLUTION MULTISPECTRAL DATA
- VEGETATION INDICES
- DEEP LEARNING
- SEGMENTATION
- ANTARCTIC TERRESTRIAL ECOSYSTEMS
- MOSS AND LICHEN DETECTION
- ORTHOMOSAIC IMAGE ANALYSIS
- ANTARCTIC VEGETATION
- EXTREME ENVIRONMENT REMOTE SENSING
- REMOTE SENSING
- MULTISPECTRAL IMAGERY
- GROUND TRUTH DATA
- UAV MAPPING
- POLAR ECOSYSTEMS
- HIGH-RESOLUTION ORTHOMOSAIC
- DRONE-BASED ENVIRONMENTAL MONITORING
Locations
- CONTINENT > ANTARCTICA > ANTARCTICA
- GEOGRAPHIC REGION > POLAR
- CONTINENT > ANTARCTICA > WINDMILL ISLANDS
Platforms
- Unmanned Aerial Vehicle
Instruments
- CAMERAS
Researchers
- bollard, barbara (INVESTIGATOR)
- gonzalez, felipe (INVESTIGATOR)
- robinson, sharon (INVESTIGATOR)
Use Constraints
This data set conforms to the CCBY Attribution License (http://creativecommons.org/licenses/by/4.0/).
Please follow instructions listed in the citation reference provided at http://data.aad.gov.au/aadc/metadata/citation.cfm?entry_id=AAS_4628_UAS when using these data.
