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Operational continental-scale land cover mapping of Australia using the Open Data Cube
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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The Arid Regions of Australia
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Digital Earth for Sustainable Development Goals
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Woody vegetation cover, height and biomass at 25-m resolution across Australia derived from multiple site, airborne and satellite observations
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Object-based cloud and cloud shadow detection in Landsat imagery
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Good practices for estimating area and assessing accuracy of land change
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Water observations from space: Mapping surface water from 25 years of Landsat imagery across Australia
inferredcites →https://doi.org/10.1016/j.rse.2017.03.015openalex-snapshot
The Australian Geoscience Data Cube — Foundations and lessons learned
inferredcites →https://doi.org/10.1016/j.rse.2017.04.009openalex-snapshot
Extracting the intertidal extent and topography of the Australian coastline from a 28 year time series of Landsat observations
inferredcites →https://doi.org/10.1016/j.rse.2018.10.031openalex-snapshot
Intra-annual reflectance composites from Sentinel-2 and Landsat for national-scale crop and land cover mapping
inferredcites →https://doi.org/10.1016/j.rse.2018.12.001openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.rse.2019.05.004openalex-snapshot
Mapping the multi-decadal mangrove dynamics of the Australian coastline
inferredcites →https://doi.org/10.1016/j.rse.2019.111259openalex-snapshot
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inferredcites →https://doi.org/10.1016/j.rse.2020.111930openalex-snapshot
Towards delivering on the Sustainable Development Goals using Earth observations
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High-resolution wall-to-wall land-cover mapping and land change assessment for Australia from 1985 to 2015
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Stable classification with limited sample: transferring a 30-m resolution sample set collected in 2015 to mapping 10-m resolution global land cover in 2017
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Humans are driving one million species to extinction
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Exposed soil and mineral map of the Australian continent revealing the land at its barest
inferredcites →https://doi.org/10.1038/s41558-020-0716-1openalex-snapshot
Unprecedented burn area of Australian mega forest fires
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Priority list of biodiversity metrics to observe from space
inferredcites →https://doi.org/10.1038/s41597-022-01307-4openalex-snapshot
Dynamic World, Near real-time global 10 m land use land cover mapping
inferredcites →https://doi.org/10.1038/sdata.2016.18openalex-snapshot
The FAIR Guiding Principles for scientific data management and stewardship
inferredcites →https://doi.org/10.1038/sdata.2018.214openalex-snapshot
Present and future Köppen-Geiger climate classification maps at 1-km resolution
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Large-scale dieback of mangroves in Australia’s Gulf of Carpentaria: a severe ecosystem response, coincidental with an unusually extreme weather event
inferredcites →https://doi.org/10.1080/01431160600589179openalex-snapshot
Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery
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Satellite remote sensing of tropical forest canopies and their seasonal dynamics
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An overview of 21 global and 43 regional land-cover mapping products
inferredcites →https://doi.org/10.1080/01431161.2016.1266112openalex-snapshot
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Global Climate Emergency: after COP24, climate science, urgency, and the threat to humanity
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Living Earth: Implementing national standardised land cover classification systems for Earth Observation in support of sustainable development
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inferredcites →https://doi.org/10.1109/igarss.2018.8518312openalex-snapshot
Open Data Cube Products Using High-Dimensional Statistics of Time Series
inferredcites →https://doi.org/10.1109/tgrs.2017.2723896openalex-snapshot
High-Dimensional Pixel Composites From Earth Observation Time Series
inferredcites →https://doi.org/10.1111/2041-210x.12579openalex-snapshot
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inferredcites →https://doi.org/10.1111/j.1365-2486.2008.01746.xopenalex-snapshot
Climate‐related trends in Australian vegetation cover as inferred from satellite observations, 1981–2006
inferredcites →https://doi.org/10.1111/j.2517-6161.1996.tb02080.xopenalex-snapshot
Regression Shrinkage and Selection Via the Lasso
inferredcites →https://doi.org/10.1117/12.2573763openalex-snapshot
Living Wales – automatic and routine environmental monitoring using multi-source Earth observation data
inferredcites →https://doi.org/10.1117/12.2574005openalex-snapshot
Mapping dominant genus/species types in natural and seminatural landscapes across Wales through application of Sentinel-2 time-series data
inferredcites →https://doi.org/10.1117/12.410358openalex-snapshot
Landsat 7 automatic cloud cover assessment
inferredcites →https://doi.org/10.1126/science.320.5879.1011aopenalex-snapshot
Free Access to Landsat Imagery
inferredcites →https://doi.org/10.1191/0309133302pp332raopenalex-snapshot
Remote sensing methods in medium spatial resolution satellite data land cover classification of large areas
inferredcites →https://doi.org/10.3390/data4040143openalex-snapshot
Land Cover Mapping using Digital Earth Australia
inferredcites →https://doi.org/10.3390/ijgi6050154openalex-snapshot
The Standardization and Harmonization of Land Cover Classification Systems towards Harmonized Datasets: A Review
inferredcites →https://doi.org/10.3390/rs10010099openalex-snapshot
Remote Sensing and Cropping Practices: A Review
inferredcites →https://doi.org/10.3390/rs10030376openalex-snapshot
An Exploration of Some Pitfalls of Thematic Map Assessment Using the New Map Tools Resource
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Next Generation Mapping: Combining Deep Learning, Cloud Computing, and Big Remote Sensing Data
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The MODIS Global Vegetation Fractional Cover Product 2001–2018: Characteristics of Vegetation Fractional Cover in Grasslands and Savanna Woodlands
inferredcites →https://doi.org/10.3390/rs12040602openalex-snapshot
Mapping the Land Cover of Africa at 10 m Resolution from Multi-Source Remote Sensing Data with Google Earth Engine
inferredcites →https://doi.org/10.3390/rs12111770openalex-snapshot
A Review of the Sustainability Concept and the State of SDG Monitoring Using Remote Sensing
inferredcites →https://doi.org/10.3390/rs12213523openalex-snapshot
Automated Production of a Land Cover/Use Map of Europe Based on Sentinel-2 Imagery
inferredcites →https://doi.org/10.3390/rs12213561openalex-snapshot
Application of Google Earth Engine Cloud Computing Platform, Sentinel Imagery, and Neural Networks for Crop Mapping in Canada
inferredcites →https://doi.org/10.3390/rs12213663openalex-snapshot
Automatic High-Resolution Land Cover Production in Madagascar Using Sentinel-2 Time Series, Tile-Based Image Classification and Google Earth Engine
inferredcites →https://doi.org/10.3390/rs13050846openalex-snapshot
National Crop Mapping Using Sentinel-1 Time Series: A Knowledge-Based Descriptive Algorithm
inferredcites →https://doi.org/10.3390/rs13081437openalex-snapshot
Mapping and Monitoring the Multi-Decadal Dynamics of Australia’s Open Waterbodies Using Landsat
inferredcites →https://doi.org/10.3390/rs13122301openalex-snapshot
Continental-Scale Land Cover Mapping at 10 m Resolution Over Europe (ELC10)
inferredcites →https://doi.org/10.3390/rs8121036openalex-snapshot
Towards an Integrated Global Land Cover Monitoring and Mapping System
inferredcites →https://doi.org/10.3390/rs9010095openalex-snapshot
Operational High Resolution Land Cover Map Production at the Country Scale Using Satellite Image Time Series
inferredcites →https://doi.org/10.3390/rs9090967openalex-snapshot
Developments in Landsat Land Cover Classification Methods: A Review
inferredcites →https://doi.org/10.48550/arxiv.1705.07874openalex-snapshot
A Unified Approach to Interpreting Model Predictions
inferredcites →https://doi.org/10.5194/essd-13-3907-2021openalex-snapshot
The 30 m annual land cover dataset and its dynamics in China from 1990 to 2019
inferredcites →https://doi.org/10.5194/hess-11-1633-2007openalex-snapshot
Updated world map of the Köppen-Geiger climate classification
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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National Digital Infrastructure: clustering global open-source solutions for sovereign monitoring of the environment
inferred← citeshttps://doi.org/10.1016/j.ecoinf.2024.102714openalex-snapshot
Hierarchical-modular framework for habitat mapping through systematic and informed integration of remote sensing data with contextual information
inferred← citeshttps://doi.org/10.1016/j.ecoinf.2026.103639openalex-snapshot
A continental-scale approach to ecosystem condition monitoring using satellite imagery and deep learning
inferred← citeshttps://doi.org/10.1016/j.srs.2026.100376openalex-snapshot
A cost-effective method for mapping land cover at national scale
inferred← citeshttps://doi.org/10.1080/13658816.2024.2434606openalex-snapshot
Towards an integrated approach for managing and streaming 3D spatial data at the component level in spatial data infrastructures
inferred← citeshttps://doi.org/10.1080/13658816.2026.2729719openalex-snapshot
Generalized covariate field (GCF): spatial-pattern and neighbourhood-distribution feature expansion improves geospatial prediction
inferred← citeshttps://doi.org/10.1080/15481603.2023.2293525openalex-snapshot
Detailed wetland-type classification using Landsat-8 time-series images: a pixel- and object-based algorithm with knowledge (POK)
inferred← citeshttps://doi.org/10.1080/17538947.2023.2251437openalex-snapshot
Local climate zone mapping using remote sensing: a synergetic use of daytime multi-view Ziyuan-3 stereo imageries and Luojia-1 nighttime light data
inferred← citeshttps://doi.org/10.1109/ic3ina68387.2025.11325646openalex-snapshot
Design and Implementation of GeoMIMO: a Geoinformatic Data Platform for Multi Inputs and Multi Outputs
inferred← citeshttps://doi.org/10.1109/igarss53475.2024.10642844openalex-snapshot
Towards Continental-Scale Mapping of Supratidal Forests in Australia: Filling the Knowledge Gap Using the Open Data Cube
inferred← citeshttps://doi.org/10.1109/igarss55030.2025.11243272openalex-snapshot
Mapping of unvegetated coastal dunes using Earth observation time series
inferred← citeshttps://doi.org/10.1109/jstars.2024.3438620openalex-snapshot
Multispectral Semantic Segmentation for Land Cover Classification: An Overview
inferred← citeshttps://doi.org/10.2139/ssrn.5366420openalex-snapshot
A Continental-Scale Approach to Ecosystem Condition Monitoring Using Satellite Imagery and Deep Learning
inferred← citeshttps://doi.org/10.2139/ssrn.5367816openalex-snapshot
Mapping Blue Carbon Ecosystems from Earth Observations at National Scale for Papua New Guinea
inferred← citeshttps://doi.org/10.3389/fmars.2025.1697243openalex-snapshot
Mapping blue carbon ecosystems from Earth observations at a national scale for Papua New Guinea
inferred← citeshttps://doi.org/10.3390/land15010037openalex-snapshot
A Novel Approach for Wetland Type Classification in China’s Coastal Areas Using Landsat Time Series
inferred← citeshttps://doi.org/10.3390/rs15082132openalex-snapshot
Convolutional Neural Network Shows Greater Spatial and Temporal Stability in Multi-Annual Land Cover Mapping Than Pixel-Based Methods
inferred← citeshttps://doi.org/10.3390/rs18060847openalex-snapshot
National Digital Infrastructure: Clustering Open-Source Solutions for Sovereign Monitoring of the Environment
inferred← citeshttps://doi.org/10.34133/remotesensing.0780openalex-snapshot
Themeda: Predicting Land Cover Change Using Deep Learning
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