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Hi, I have a .nc4 file of leaf area index values for all the states (lower 48) in the US but I want to extract the data for each state individually. Each pixel in the .nc4 file has a time series dataset in it. I first converted the netcdf file to a raster layer in ArcGIS and then used a state wise shapefile to clip the raster layer to the shape boundary. But the .lyr file created, does not have the time series data in it. Is there a way to extract these polygons from the raster layers and convert the state-wise polygons back to a netcdf format? The reason why I need to convert it back to netcdf is because I am using Matlab (ncread command) to read the dataset, interpolate values and even for plotting. Thanks for the help!
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04-11-2016
11:27 AM
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Jake, Thanks for your response. I didn't check this option. It seems to work for fine now! Thank you!
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01-28-2016
12:17 PM
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Hi, I'm trying to calculate the leaf area index of different vegetation species at each state in the US and I'm using a netcdf (.nc4) raster file for the LAI and a usual shapefile (with polygons) for defining the state boundary. I converted the net cdf file into a raster file using the "Make NetCDF raster layer tool". I'm using the Clip tool (< Raster Processing < Raster < Data management tools < Arc toolbox) in the arctool box to clip the raster layer and the polygons. So in this case, my output extent are the states that I choose from the shapefile and the Input raster is the raster layer ofcourse. I also checked the "Use Input Features for Clipping Geometry" option so that the raster dataset is clipped onto the perimeter of the shapefile. Here is my question: Sometime, there are additional pixels that are created in the output raster dataset, that are actually not present in the original input raster layer. And these pixels also have a value associated with it, which is a cause of concern since some states which should actually have a zero value in it, have a random number in the output file. Could someone explain what's happening or the possible reasons for this? Thanks!
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01-28-2016
11:32 AM
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