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This dataset includes maps of shifting cultivation and other forest disturbance drivers in Laos. Annual map classes (numbers are class values):1. Forest, 2. Plantation, 3. Non-forest, 4. Subtle disturbances 5. Severe drought, 6. New Plantation, 7. Deforestation, 8. Shifting cultivation The aggregate map classes (numbers are class values): 1.Stable forest, 2,Non-forest, 3.Shifting cultivation, 4.Deforestation, 5.New plantation Please cite the two references if you use the datasets: Chen, S., Woodcock, C. E., Saphangthong, T., & Olofsson, P. (2023). Satellite data reveals a recent increase in shifting cultivation and associated carbon emissions in Laos. Environmental Research Letters, 18(11), 114012. Chen, S., Olofsson, P., Saphangthong, T., & Woodcock, C. E. (2023). Monitoring shifting cultivation in Laos with Landsat time series. Remote Sensing of Environment, 288, 113507. Please visit https://github.com/shijuanchen/shift_cult and https://sites.google.com/view/shijuanchen/research/shift_cult for Google Earth Engine applications, visualization and more datasets.
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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