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- W2772685031 abstract "In this study, we prototype the combination of samples of airborne LiDAR (LiDAR plots) and Landsat data to characterize the development of forest structure attributes through time. A nearest neighbor imputation model was developed using predictors generated from wall-to-wall Landsat best available pixel (BAP) composites and reference measurements of forest structure derived from LiDAR plots. The imputation model was then applied through time on a study area in Canada's boreal forest, resulting in forest structure maps with a 30 m resolution for the period 1984–2012. We characterize post-disturbance trends in these forest structural metrics following wildfire and harvest and offer insights on the large-area, temporally dense mapping opportunities offered by the synergistic use of samples of airborne LiDAR and Landsat BAP composites." @default.
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- W2772685031 date "2017-07-01" @default.
- W2772685031 modified "2023-09-24" @default.
- W2772685031 title "A space-time data cube: Multi-temporal forest structure maps from landsat and lidar" @default.
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- W2772685031 doi "https://doi.org/10.1109/igarss.2017.8127523" @default.
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