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Data from 'Moving on up: A two-step scaling approach for grassland vegetation structure'

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NIAID Data Ecosystem2026-05-02 收录
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https://figshare.com/articles/dataset/Data_from_Moving_on_up_A_two-step_scaling_approach_for_grassland_vegetation_structure_/29867561
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The repository contains data and scripts used in the analysis done for the publication 'Moving on up: A two-step scaling approach for grassland vegetation structure'. This includes the following folders ms_orthos: unoccupied aerial vehicle (UAV) multispectral orthomosaicsUAV_point_clouds: UAV structure-from motion point cloudsS2_ROI_AOA_predictions: Sentinel-2 predictions and area of applicability (AOA) layers for vegetation cover (%) and height (m) between 2019 and 2024 across the region of interest (ROI). These include layers from models developed with either spatial leave-site-out (i.e., space) or stratified (i.e., strat) cross-validation.S2_predictions: Sentinel-2 predictions of vegetation cover (%), height (m) and volume (derived from cover and height layers) between 2019-2024.These rasters extend beyond the ROI to the entirety of the three study provinces. We also have included the annual rate of change (i.e., slope of change per pixel from 2019 to 2024) for each vegetation characteristic.Rscripts: R scripts of all analysis. Workflows to answer each research question can be found by the script name. For example, the script for research question one begins with "RQ1_".csv: Plot-level field measurements.shapes: Shape files of the UAV survey boundary, quadrats within UAV surveys, and the ROI.
创建时间:
2025-08-29
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