Is there any simple and easier way to extract feature information from classified raster dataset that intersects a feature class, and also maintain the other feature attributes? I'm using ArcGis 10.4
Dan, I tried spatial analysis Extraction (Extract by Mask). It worked alright but as you know, the output table shows only Values and Counts based only on the 6 classifications (6 rows and 3 columns). I therefore have to find a way to assign every feature to its classified raster.
My problem is that, I have Snow dataset in Raster format (classified in a range of ‘50 days of > 25cm deep of snow to 365 days: 6 classification), and different land area Feature Classes (forest areas, cultivated pastures, open areas, etc.) in different Municipal areas. I now want to find out the statistics of what 'classified snow range' falls within what Feature Class in each Municipal area. I guess its difficult to explain better, but I think my problem is put across.
Combine lets you do just that... combine the classifications of one set of data with another bringing the attributes of both together. Interpreting the results can be challenging, but it does work.
data 1 ... classes A,B,C
data 2 ... classes A,B
output is not in order, but in order of occurrence but you will get unique combinations of the above assigned to a new class
