Ice Floe Segmentation of MODIS imagery
收藏NIAID Data Ecosystem2026-05-02 收录
下载链接:
https://zenodo.org/record/11553699
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资源简介:
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
创建时间:
2024-10-30



