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This dataset accompanies our 2017 manuscript "Near-real-time monitoring of insect defoliation using Landsat time series". Files include both inputs and products from our 2016 asessment of gypsy moth defoliation for Southern New England. Input datasets, which are generated for individual Landsat WRS-2 Path/Rows, include predicted "synthetic" images for relatively clear Landsat acquisiton dates during the 2016 outbreak season (mid-May through mid-September), as well as per-pixel estimates of model RMSE. Intermediate datasets include raw and standardized residual estimates generated as part of near-real-time defoliation monitoring Final products include masked and umasked versions of a season-integrated assessment of defoliation.
| selected citations These citations are derived from selected sources. 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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