Workflow and Data Products for Mapping Active Channels and One-Minute Channel Dynamics on an Experimental Alluvial Fan

This archive contains the workflow and intermediate data products used to extract the active channel network, identify the main channel, and quantify one-minute channel displacement on the experimental alluvial fan. Starting from a binary fan-surface mask and masked RGB imagery, the workflow uses optical-flow–based channel rasters to delineate channels, define channel nodes, assign channel order, and then track main-channel position and displacement through time and by fan section.

The ZIP file includes:

01_Fan_surface_binary_mask/Binary rasters defining the fan surface extent  used to mask RGB imagery and channel rasters.

02_Masked_fan_surface_RBG/RGB images of the fan surface with walls and table removed using the binary mask

03_Channel_network/Thresholded optical-flow rasters and derived products representing the active channel network at each time step.

04_Main_channel/Main-channel centerline  files (one per time step)

05_Mian_channel_displacament/Per-timestep main-channel displacement metrics (e.g., angular and arc-length displacement) between consecutive images at one-minute resolution.

06_Main_channel_displacamnet_by_sector_df/Aggregated main-channel displacement statistics summarized by fan section (up-, mid-, down-fan and combined bands), including normalized displacement metrics.

ChannelNetwork_Nodes_ChannelOrder.RmdR Markdown workflow that converts thresholded optical-flow rasters into an active channel network, clusters channel segments, defines nodes, connects segments into continuous channels, and assigns channel order based on motion and length.

MainChannel_1min_Displacement_FanSections.RmdR Markdown workflow that interpolates main-channel nodes at fixed radial spacing, computes one-minute angular and arc-length displacements, normalizes by channel width, aggregates metrics by fan section, and builds cumulative displacement time series used for behaviour classification.