1. Australian Antarctic Data Centre
2. Discover and Manage Data
3. Records
4. AAS_4628_Polar_GeoAI_Prisma_Review

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

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.