Metadata details
AAS_4628_Polar_GeoAI_Prisma_Review
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
- Amarasingam, N., Vomero, M., Platel, A., Newman, C., Robinson, S. and Bollard, B. (2026) GeoAI Systematic Review Dataset: Remote Sensing, Vegetation and Hydrology Studies in Polar Regions (2005–2025), Ver. 1, Australian Antarctic Data Centre - doi:10.26179/w4cn-xy95, Accessed: 2026-08-24
- Title
- GeoAI Systematic Review Dataset: Remote Sensing, Vegetation and Hydrology Studies in Polar Regions (2005–2025)
- Data Centre
- Australian Antarctic Data Centre, Australia
- DOI
- doi:10.26179/w4cn-xy95
- Created Date
- 2025-11-28
- Revision Date
- 2026-05-15
- Parent record
- AAS_4628_UAS
Datasets and documents
Related links
Description
This dataset contains all materials generated during a systematic review of artificial intelligence and remote sensing research focused on vegetation and hydrology in the Arctic and Antarctic from 2005 to 2025. It includes the full set of screened records, documentation of inclusion and exclusion decisions, structured summaries of all eligible studies, bibliographic files, and thematic groupings used to classify research domains. Also provided are network-ready text files describing author collaborations, keyword co-occurrence patterns, and conceptual linkages within the literature. Each spreadsheet and text file includes clear explanations of column names, variable meanings, and dataset structure to ensure long-term usability.
A repository containing workflow documentation, figures, and supporting materials is available at:https://github.com/Narmilan-A/Systematic-Review-Toolkit
Purpose
The purpose of this dataset is to provide a transparent, reusable, and fully documented evidence base that supports the systematic review of GeoAI methods, applied to vegetation and hydrology in polar regions. The dataset enables: (i) reproducibility of the screening and selection process; (ii) re-analysis of bibliometric networks; (iii) comparison across remote sensing platforms, sensors, and AI approaches; and (iv) long-term availability of cleaned, structured metadata for researchers investigating Arctic and Antarctic environmental change. Future users can employ these files to update the review, build benchmark datasets, or examine methodological trends in polar ecosystem monitoring.
Access
These data are publicly available for download from the provided URL.
Temporal Coverages
- Start date: 2005-01-01 - Stop date: 2025-01-31
Spatial Coverages
Science Keywords
- EARTH SCIENCE > BIOSPHERE > VEGETATION
- EARTH SCIENCE > MODELS > MACHINE LEARNING MODELS
- EARTH SCIENCE > MODELS > MACHINE LEARNING MODELS > NEURAL NETWORKS
- EARTH SCIENCE > CRYOSPHERE > SNOW/ICE > SNOW MELT
- EARTH SCIENCE > LAND SURFACE > LAND USE/LAND COVER
- EARTH SCIENCE > DATA ANALYSIS AND VISUALIZATION > IMAGE PROCESSING
- EARTH SCIENCE > MODELS > MACHINE LEARNING MODELS
Additional Keywords
- ANTARCTIC
- LITERATURE DATABASE
- SYSTEMATIC REVIEW
- ARTIFICIAL INTELLIGENCE
- BIBLIOMETRIC ANALYSIS
- PRISMA 2020
- GEOAI
- MACHINE LEARNING
- DEEP LEARNING
- VEGETATION–HYDROLOGY INTERACTIONS
- ARCTIC
- DATA EXTRACTION
- SCREENING DATASET
- REMOTE SENSING
- POLAR ECOSYSTEMS
- NETWORK ANALYSIS
- UAV–SATELLITE INTEGRATION
- HYDROLOGY
- MULTISENSOR FUSION
- CLIMATE CHANGE IMPACTS
- REMOTE SENSING
- MACHINE LEARNING
- IMAGE ANALYSIS
- RGB CAMERAS
- MULTISPECTRAL REFLECTANCE
- EARTH OBSERVATION SATELLITES
- VEGETATION MAPPING
- HYPERSPECTRAL REFLECTANCE
- HIGH-RESOLUTION OPTICAL SATELLITES
- MEDIUM-RESOLUTION OPTICAL SATELLITES
- 4628
- AAS 4628
Locations
- CONTINENT > ANTARCTICA
- GEOGRAPHIC REGION > ARCTIC
- GEOGRAPHIC REGION > POLAR
Platforms
- SATELLITES
- LANDSAT
- Sentinel-6A
- DigitalGlobe WORLDVIEW-4
- Unmanned Aerial Vehicle
- Airplane
- FIELD SURVEYS
- SATELLITES
Instruments
- Multispectral imaging system
- Hyperspectral imaging equipment
- CAMERAS
- Thermal Infrared Sensor
Researchers
- amarasingam, narmilan (INVESTIGATOR,TECHNICAL CONTACT,DIF AUTHOR)
- vomero, mariapina (INVESTIGATOR)
- platel, arthur (INVESTIGATOR)
- newman, cassandra (INVESTIGATOR)
- robinson, sharon (INVESTIGATOR,TECHNICAL CONTACT,DIF AUTHOR)
- bollard, barbara (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_Polar_GeoAI_Prisma_Review when using these data.
