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Read file, extract region and save

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Robert
Robert am 18 Apr. 2017
Kommentiert: Robert am 18 Apr. 2017
Hi,
I am trying to read multiple .nc files (I know how to do this, see below), then extract a small region from each file (not familiar how to do this), save this region in a matrix (3D), close file and repeat this again, through all 37 (years) .nc files, in a loop. Each file size is 1440 x 720 x ## (Longitude x Latitude x TimeStep), where ## are the number of days (could go from 120 to 366), depending of year (first and last year have less days, and there are leap and non-leap years).
myFolder = 'C:\Data';
filePattern = fullfile(myFolder, '*.nc');
matFiles = dir(filePattern);
for k = 1:length(matFiles), %length(matFiles)=37
baseFileName = matFiles(k).name;
fullFileName = fullfile(myFolder, baseFileName);
fprintf(1, 'Now reading %s\n', fullFileName);
Data(:,:,k) = ncread(fullFileName,'VariableName');
end
I am missing the portion of how to extract a small region from each .nc file inside loop, and then how to add it (using cat function ?) to generate a 3D matrix with each TimeStep (day) from each of the 37 files.
Your comments and suggestions are welcome. Thanks!
  2 Kommentare
Image Analyst
Image Analyst am 18 Apr. 2017
We don't know how the regions are to be identified. Do you want to hand-trace them? Do you want them identified by thresholding? I have no idea. Are the regions all rectangles of the same size? They'd better be if you want to concatenate them into a 3-D array. Maybe you could attach one of the files, or at least show us a screenshot of what they look like.
Robert
Robert am 18 Apr. 2017
Sorry I didn't include this information before.
The region to be identified need to be based on a fix range of latitudes and longitudes, to concatenate them into a 3-D array, as you mentioned.
Ideally adding something like this to the beginning of the code:
Lat_North = ??;
Lat_South= ??;
Long_West = ??;
Long_East= ??;
Original Longitude values goes from 1 to 1400, but need to be changed to degrees by using the function "wrapTo180". Then, Longitude values goes from 0.125 to 179.875 and then from -179.875 to -0.125, each 0.25 degrees (1440), as data start in Africa (west side of matrix, see attached figure (example.jpg) representing 1 day of data).
Latitude values goes from -89.875 to 89.875 (720).
I have also attached an example (example.mat) of the Longitude, Latitude, and Data, used to create attached figure.
Thanks!

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