Title | ||
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Projecting Australia's forest cover dynamics and exploring influential factors using deep learning. |
Abstract | ||
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This study presents the first application of deep learning techniques in capturing long-term, time-continuous forest cover dynamics at a continental scale. We developed a spatially-explicit ensemble model for projecting Australia's forest cover change using Long Short-Term Memory (LSTM) deep learning neural networks applied to a multi-dimensional, high-resolution spatiotemporal dataset and run on a high-performance computing cluster. We further quantified the influence of explanatory variables on the spatiotemporal dynamics of continental forest cover. Deep learning greatly outperformed a state-of-the-art spatial-econometric model at continental, state, and grid-cell scales. For example, at the continental scale, compared to the spatial-econometric model, the deep learning model improved projection performance by 44% (root-mean-square error) and 12% (pseudo R-squared). The results illustrate the robustness and effectiveness of the LSTM model. This work provides a reliable tool for projecting forest cover and agricultural production under given future scenarios, supporting decision-making in sustainable land development, management, and conservation. |
Year | DOI | Venue |
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2019 | 10.1016/j.envsoft.2019.07.013 | Environmental Modelling & Software |
Keywords | Field | DocType |
Long short-term memory,Deep learning,Forest cover change,Spatiotemporal data,Projections,Deforestation | Environmental resource management,Ensemble forecasting,Hydrology,Computer science,Robustness (computer science),Artificial intelligence,Deep learning,Deforestation,Artificial neural network,Agricultural productivity,Land development,Computer cluster | Journal |
Volume | ISSN | Citations |
119 | 1364-8152 | 1 |
PageRank | References | Authors |
0.35 | 0 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Long Ye | 1 | 1 | 0.35 |
Lei Gao | 2 | 102 | 11.39 |
Raymundo Marcos-Martinez | 3 | 1 | 0.35 |
Dirk Mallants | 4 | 1 | 0.69 |
Brett A. Bryan | 5 | 65 | 9.82 |