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      Exporting statistics - PIX4Dfields

      This article explains how to export statistics from PIX4Dfields in .csv file format.

      IN THIS ARTICLE

      Exporting statistics
      Annotation-statistics.csv
      Layer-statistics.csv

      Exporting statistics

      PIX4Dfields allows for annotation and raster layer statistics to be exported in a .CSV (comma separated values) format.

      Process:
      • Click Export.
      • On the Export Menu, click Vector.png Statistics.
      • Select the LayerIcon.png Layer/s where annotations are, choose decimal separator (comma or point).
      • Click Export, choose Folder.png Folder of destination.

      Export3.png

      Two files will be exported:

      • Vector.png annotation-statistics: Calculates the zonal statistics within the annotation.
      • Vector.png layer-statistics: Calculates basic statistics of the entire raster layer.
      Information: When setting a custom minimum and maximum value in the histogram, the following is exported:
      • The statistics of the whole layer or the annotation area.
      • The statistics of the visible values set with the histogram.
      Important: When viewing the histogram, the "visible" statistics will be all the pixels with values between the min/max sliders.

      Annotation-statistics.csv

      This file contains statistics about each annotation or plot.

      PlotsSatistics.png

      • Mean index value: Refers to the average value of the pixels inside every specific plot that has been calculated using the bands of the corresponding vegetation index.
      • Index value SD: Refers to the Standard Deviation (SD), which describes how spread out the dataset is. It is a measure of the amount of variation or dispersion of the plot. A low SD indicates that the values tend to be close to the mean of the dataset, while a high SD indicates that the values are spread out over a wider range.
      • Mean index value (visible): Refers to the average of the pixels inside each plot within the range selected in the histogram.
      • Index value (visible) SD: Refers to the SD of data within the range selected in the histogram.
      • Area: Refers to the surface covered by the plot and it does not take into account changes on the histogram range.

      Layer-statistics.csv

      This file contains statistics about the selected layers. The example below describes an NDRE index and Digital Surface Model.


      Layers_Statistics.png

      • Area: Refers to the surface covered by the layer.
      • Area (visible): Refers to the surface only covered by the pixels within the range selected in the histogram.
      • Min-Max: Refers to the minimum and maximum values present on each layer.
      • Min - Max (Visible): Refers to the minimum and maximum values within the range selected in the histogram for each layer.
      • Mean index value: Refers to the average value of all pixels in the layer, that has been calculated using the bands of the corresponding vegetation index.
      • Index value SD: Refers to the SD of data present in the whole layer.
      • Mean Height: Refers to the average height present in the layer, it will be present if Digital Surface Model (DSM) was selected when exporting.
      • Height SD: Refers to de SD of the DSM.
      • Mean index value (visible): Refers to the average value of all pixels within the range selected in the histogram.
      • Index value SD (visible): Refers to the SD of data within the range selected in the histogram.
      • Mean height (visible): Refers to the average height value of all pixels within the range selected in the histogram.
      • Height (visible) SD: Refers to the SD of height data within the range selected in the histogram.