Available with Image Analyst license.
Available with Spatial Analyst license.
The tools in the Multidimensional Analysis toolset allow you to perform analysis on scientific data across multiple variables and dimensions.
Multidimensional data represents data captured at multiple times, depths, and heights. This type of data is commonly used in atmospheric, oceanographic, and earth sciences. In ArcGIS Pro, you can manage, visualize, and analyze multidimensional raster data in multiple formats including netCDF, HDF, GRIB, the multidimensional mosaic dataset, and Esri's Cloud Raster Format (CRF).
The following table lists the multidimensional analysis tools and provides a brief description of each.
Generates a multidimensional raster dataset by combining existing multidimensional raster variables along a dimension.
Evaluates changes in pixel values over time using the Continuous Change Detection and Classification (CCDC) method and generates a change analysis raster containing the model results.
Evaluates changes in pixel values over time using the Landsat-based detection of trends in disturbance and recovery (LandTrendr) method and generates a change analysis raster containing the model results.
Generates a raster containing pixel change information using the output change analysis raster from the Analyze Changes Using CCDC tool or the Analyze Changes Using LandTrendr tool.
Extracts the dimension value or band index at which a given statistic is attained for each pixel in a multidimensional or multiband raster.
Computes the anomaly for each slice in an existing multidimensional raster to generate a new multidimensional raster.
Estimates the trend for each pixel along a dimension for one or more variables in a multidimensional raster.
Computes a forecasted multidimensional raster using the output trend raster from the Generate Trend Raster tool.
Generates a table containing the pixel count for each class, in each slice of an input categorical raster.