Ice Floe Segmentation of MODIS imagery

<p>In the segmentation output folder you will find:</p> <ul> <li>for each day of analysis: <ul> <li>YYYY-MM-DD-JD_terra_final.tif: the final georeferenced masked floes</li> <li>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: <ul> <li>label: corresponding number in the .tif file</li> <li>area (in number of pixels)</li> <li>centroid-0: centroid of the floe (row)</li> <li>centroid-1: centroid of the floe (column)</li> <li>axis_major_length</li> <li>axis_minor length</li> <li>orientation: angle between 0th axis (rows) and major axis</li> <li>perimeter: in pixel units</li> <li>intensity mean: average red channel value of floe</li> </ul> </li> </ul> </li> <li>for each year: mask_values_YYYY.txt : text files with columns: <ul> <li>doy: day of year</li> <li>ice area (pixels)</li> <li>total area for analysis (not cloud or land mask)</li> <li>sea ice concentration</li> </ul> </li> <li>reproj_land.tif: the land mask</li> </ul> <ul> <li>df_all_withloc.csv: includes all floe properties from all years- same columns as individual days plus: <ul> <li>year</li> <li>doy: julian day of year</li> <li>perim_km (perimeter in km)</li> <li>area_km (area in km^2)</li> <li>circ: C = 4*pi *area / (perim^2)</li> <li>lon_ps: polar stereographic x values epsg:3413</li> <li>lat_ps: polar stereographic y values epsg:3413</li> <li>lon: epsg:4326</li> <li>lat: epsg:4326</li> </ul> </li> </ul> <p>outisde of the segmnetation output folder:</p> <p>df_stats_all2.csv: a combination of all the mask value files with additional columns:</p> <ul> <li>floe area: total area of floes within the image</li> <li>floe count: total number of floes in the image</li> </ul> <p>&nbsp;</p>