Software and Data Function Arithmetic Description Performs an arithmetic operation between two partially or completely spatially overlapping rasters or a raster and one or more constant values. Identifies the downslope direction of the maximum rate of change in value from each cell to its neighbors. Extracts or excludes an area in a raster according to a set of detailed extents. Transforms an index of pixel values to display as either a grayscale or a red, green, blue (RGB) image, based on a color map. Converts a single-band raster with a color map to a three-band (red, green, and blue) raster. Converts the color model of an image, for example, from either the hue, saturation, and value (HSV) to RGB or vice versa. Computes magnitude from complex values. Combines rasters to form a multiband raster. Creates a virtual raster with a single pixel value for all its pixels. Performs filtering on the pixel values in a raster. Reorders or extracts bands from a raster. Rectifies an image based on a geodata transformation. Converts a multiband raster into a grayscale raster. Generates a grayscale model of a terrain with the sun’s relative position taken into account for shading the terrain. Default function required by all rasters in a mosaic dataset if there is no other function. Creates NoData by defining a range of pixel values. Any values outside the range will be returned as NoData. Calculates the Normalized Difference Vegetation Index (NDVI) values using a two-band raster consisting of the red and nearinfrared bands. Enhances the spatial resolution of a multiband image by fusing it with a higher-resolution panchromatic image. Uses Typically used to merge different bands of imagery together or apply conversions, for example, to compute radiance values. This is used generally to help identify watersheds or side of hills that have more light. Often used to efficiently exclude NoData areas or clouds from an image Used typically to render the results of a classification. This enables color-mapped images to be correctly rendered together. This function is often used in some image processing algorithms. Typically used with radar imagery. Typically a multispectral image will be displayed as a composite of specific bands (e.g., 432 for false color infrared). Used generally to simulate some input. Used for sharpening an image, blurring an image, detecting edges within an image, or other kernel-based enhancements. Used to specify a single band from a multiband raster. This is used to orthorectify rasters based on a sensor definition and an elevation model or perform other geometric transformations. This is sometimes done to tone down an image so that overlaid vector data is more visible. Emphasizes the structure of terrain. Identifies a raster. This can be used to mask out clouds or other parts of an image on a pixel by pixel basis. NDVI is very useful in identifying vegetation biomass or stress. Aspect Clip Colormap Colormap To RGB Color Model Conversion Complex Composite Band Constant Convolution Extract Band Geometric Grayscale Hillshade Identity Mask NDVI Pan-sharpening Pan-sharpening is applied when visualizing imagery from many satellite and aerial imagery platforms to sharpen color images without increasing the data size or affecting the fidelity of the multispectral imagery. Useful when converting imagery used in conjunction with other imagery that is combined using a function. This is similar to Hillshade but provides color for better cartographic representation. This is most useful as an input to many elevation analysis applications. Can be used to convert a false color image to a pseudo color image. Such statistics can be used to drive dynamic range adjustment to optimized display. Enhances an image. Raster Info Shaded Relief Slope Spectral Conversion Statistics Stretch Modifies properties of the raster, such as bit depth. Generates a shaded relief from an elevation model and color ramp. Calculates the rate of change of elevation for each DEM cell. Applies a matrix to a multiband image to affect the spectral values of the output. Calculates focal statistics for each pixel of an image based on a defined focal neighborhood. Changes properties such as brightness, contrast, and gamma through multiple stretch types. A detailed list of available mosaic dataset functions www.esri.com ArcUser Summer 2010 13