RASTER ANALYSIS GIS Analysis Fall 2013

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RASTER ANALYSIS GIS Analysis Fall 2013

Raster Data The Basics

Raster Data Format Matrix of cells (pixels) organized into rows and columns (grid); each cell contains a value representing information.

What features can raster format represent? Thematic data represents discrete categories of features, e.g. land use or soils data

What features can raster format represent? Continuous data represents phenomena that changes continuously across a surface, e.g. temperature, elevation

What features can raster format represent? Images pictures that do not include attribute data about the features they show, e.g. aerial photos, DRGs

Multiple-Band Rasters A band is a single matrix or layer of cells. multi-band rasters: every cell location has more than one value associated with it (often representing different segments of the electromagnetic spectrum). Common in remotely-sensed satellite imagery

Resolution of a raster = cell size

Raster Resolution

Same resolution, Different map scale

Different resolution, Same map scale

Pyramid Layers Stacked layers of increasingly coarser resolution Speeds up raster display

Raster Spatial Extent and Attributes No data means no info available for a particular cell What is the difference between a cell value contain a value of 0 (zero) or 0.0 and NoData?

Value Attribute Table (VAT) Available only for integer (not decimal point) rasters ArcMap > Right-click on raster layer in TOC > Open Attribute Table. ArcCatalog > Select raster layer > Preview tab

Grouping Raster Data Zones are cells with the same value Regions are groups of contiguous cells in a zone; a zone can contain multiple regions.

Scope of Raster Analysis

Local Functions (i.e. Tools) Performed on each raster cell independently Compares the value of a cell in one layer with the values of the same cell in other layers

Local Raster Tools http://resources.arcgis.com/en/help/main/10.1/index.html#//009z0000007p00000 0

Focal (Neighborhood) Functions Compares each pixel with its immediate neighbors Most often, the nearest 8 cells are used

Neighborhood Raster Tools http://resources.arcgis.com/en/help/main/10.1/index.html#/an_overview_of_the_ne ighborhood_tools/009z000000qn000000/

Zonal Functions Computes results for blocks of contiguous cells that share a common attribute (i.e. zones) e.g. Maximum zone value

Zonal Raster Tools http://resources.arcgis.com/en/help/main/10.1/index.html#/an_overview_of_the_zo nal_tools/009z000000w1000000/

Global Functions Computes results that are a function of all the cells in the entire layer; works on an entire raster all at once.

Common Raster operations

Raster Operations Masking/Clipping Euclidean Distance Reclassification Resampling Overlay Analysis Surface Analysis Slope Hillshade Image Analysis Processing Window

Masking / Clipping

Euclidean Distance e.g. Distance to nearest town

Reclassification Reclassify or change cell values to alternative values

Reclassification

Resampling Determine cell sizes between datasets are they consistent? If not, Resample. Change cell size in one layer to match other Cell values will change

Resampling Nearest Neighbor New value is the location of the closest cell center Used for categorical (qualitative) data

Resampling Bilinear Interpolation New value is based on the weighted distance average of the nearest 4 input cell centers Used for quantitative data

Resampling Cubic Convolution Similar to Bilinear Interpolation, but uses the nearest 16 input cell centers and produces the smoothest output Also used for quantitative data

Overlay Analysis

Vector Overlay

Raster Overlay

Map Algebra Raster overlay; cell-by-cell combination of raster layers Operators: Mathematical = +, -, *, / Relational ==, <, >,!= Logical = AND, OR Conditional = IF

Raster Calculator Tool

Surface Analysis: Slope Calculated as the maximum rate of change between each cell and its neighbors Aspect = slope direction

Surface Analysis: Hillshade Enhances terrain visualization Determines illumination values for each cell based on a hypothetical light source Azimuth = angular direction of the sun Altitude = angle of the sun above the horizon

Image Analysis - Processing Simplifies the use of using processing and analysis techniques to raster data Provides one-click options to apply clipping, normalized difference vegetation index (NDVI) creation, mosaicking, and exporting. Creates temporary layers in the table of contents. The processing is applied on-the-fly (original data remains unaltered, quick). To save the temporary layer, export the raster dataset.

Image Analysis - Processing http://resources.arcgis.com/en/help/main/10.1/index.html#/image_analysis_window _Processing_section/009t000000m7000000/

Raster Geoprocessing Environments

Geoprocessing Environments Raster Analysis Cell Size. Setting the size of the output raster cell size (i.e. 1m, 10m). Default is to use the coarsest of the input datasets Mask. Will only consider those cells that fall within the analysis mask when using the tool

Geoprocessing Environments Raster Storage Compression. Set the compression type when storing output raster datasets (IMG, JPEG, JPEG 2000, TIFF, GRID, Geodatabases) NoData. Pyramid. Raster Statistics. Resampling method. Tile Size.

Geoprocessing Environments Raster Storage Compression. NoData. Set the rule for which NoData will be transferred to your output dataset (i.e. None, max, min) Pyramid. Raster Statistics. Resampling method. Tile Size.

Geoprocessing Environments Raster Storage Compression. NoData. Pyramid. Set the resampling method for building pyramids. Pyramid are reduced-resolution representations of your data used to improve performance. Raster Statistics. Resampling method. Tile Size.

Geoprocessing Environments Raster Storage Compression. NoData. Pyramid. Raster Statistics. Enables you to build statistics for the output raster dataset. Statistics are necessary to apply a contrast stretch or classify your raster data (symbology) Resampling method. Tile Size.

Geoprocessing Environments Raster Storage Compression. NoData. Pyramid. Raster Statistics. Resampling method. Set resampling method when your raster dataset undergoes a transformation (i.e. pixel size changes, data shifts) Tile Size.

Geoprocessing Environments Raster Storage Compression. NoData. Pyramid. Raster Statistics. Resampling method. Tile Size. Sets the tile size for rasters that are stored in block of data (only done with TIFF, File GDB, or SDE GDB). Tile size lets you control the number of pixels stored in each block.