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I have two shapefiles exported from ecognition. The first shapefile contains the land cover classification and the second one contains unclassified superobjects of the first shapefile. I want to compute the percentage of each landcover classes within my superobjects. I also want to get the NDVI percentage of the superobjects based on the vegetation class.

I found this link http://resources.arcgis.com/en/help/main/10.1/index.html#//000800000044000000 but I can't seem to find this in ArcMap. I don't know if I can use this to achieve what I want.

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  • To use the Tabulate Intersection tool you have to have an Advanced license. If you have that license it is located under the Analysis toolbox in the Statistics toolset. If you do not have this license You can calculate the area of the superobjects into a double field and use the Union tool. Then calculate the union_area/original_area * 100. Either way should work for the first analysis you want to do. See this link for NDVI preparation. researchgate.net/post/… Commented Nov 29, 2014 at 18:41
  • thanks a lot. unfortunately we don't have that license. hope i could do the other options right. thanks
    – leah
    Commented Nov 30, 2014 at 1:57
  • If memory serves, tabulate areas in spatial analyst works on 2 polygon layers. Alternatively just use intersect tool and pivot table in Excel.
    – FelixIP
    Commented Nov 30, 2014 at 2:34
  • @RichardFairhurst I think your comment would make a brief answer.
    – PolyGeo
    Commented Jan 15, 2017 at 0:37

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To use the Tabulate Intersection tool you have to have an Advanced license. If you have that license it is located under the Analysis toolbox in the Statistics toolset. If you do not have this license You can calculate the area of the superobjects into a double field and use the Union tool. Then calculate the union_area/original_area * 100. Either way should work for the first analysis you want to do. See this link for NDVI preparation. https://www.researchgate.net/post/How_to_calculate_the_percentage_of_green_spaces_in_remote_sensing_image_using_erdas_imagine

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