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Ice Floe Segmentation of MODIS imagery

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NIAID Data Ecosystem2026-05-02 收录
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https://zenodo.org/record/11553699
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In the segmentation output folder you will find: for each day of analysis: YYYY-MM-DD-JD_terra_final.tif: the final georeferenced masked floes YYYY-MM-DD-JD_terra.csv: the properties tables for the floes. see https://scikit-image.org/docs/stable/api/skimage.measure.html#skimage.measure.regionprops for a full description of each parameter. The columns are: label: corresponding number in the .tif file area (in number of pixels) centroid-0: centroid of the floe (row) centroid-1: centroid of the floe (column) axis_major_length axis_minor length orientation: angle between 0th axis (rows) and major axis perimeter: in pixel units intensity mean: average red channel value of floe for each year: mask_values_YYYY.txt : text files with columns: doy: day of year ice area (pixels) total area for analysis (not cloud or land mask) sea ice concentration reproj_land.tif: the land mask df_all_withloc.csv: includes all floe properties from all years- same columns as individual days plus: year doy: julian day of year perim_km (perimeter in km) area_km (area in km^2) circ: C = 4*pi *area / (perim^2) lon_ps: polar stereographic x values epsg:3413 lat_ps: polar stereographic y values epsg:3413 lon: epsg:4326 lat: epsg:4326 outisde of the segmnetation output folder: df_stats_all2.csv: a combination of all the mask value files with additional columns: floe area: total area of floes within the image floe count: total number of floes in the image
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2024-10-30
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