store color data for each pixel in a raster image All pixels require the same number of bits The number of bits determines the range of colors the image may have The dimension of the cell size representing the area covered on the ground Resolution is constant across a raster (with very few exceptions) Resolution balances the size of features that can be represented with file size, processing time “A 32-bit integer raster” “A 5-meter resolution raster”
store color data for each pixel in a raster image All pixels require the same number of bits The number of bits determines the range of colors the image may have The dimension of the cell size representing the area covered on the ground Resolution is constant across a raster (with very few exceptions) Resolution balances the size of features that can be represented with file size, processing time “A 32-bit integer raster” “A 5-meter resolution raster”
with the terms… Spatial Resolution: the area on the ground covered by each cell Radiometric Resolution: synonymous with bit depth; number of possible values in each cell Spectral Resolution: you’ll see this in remote sensing; the ability to distinguish between parts of the electromagnetic spectrum [a grayscale photo versus a color and near-infrared photo] Temporal Resolution: how frequently measurements/images are collected through time [daily data is a higher temporal resolution than annual data]
with the terms… Spatial Resolution: the area on the ground covered by each cell Radiometric Resolution: synonymous with bit depth; number of possible values in each cell Spectral Resolution: you’ll see this in remote sensing; the ability to distinguish between parts of the electromagnetic spectrum [a grayscale photo versus a color and near-infrared photo] Temporal Resolution: how frequently measurements/images are collected through time [daily data is a higher temporal resolution than annual data]
act between the information you want to convey and the size (and processing time) of the file you’re dealing with. “1 m resolution” “0.5 m resolution” 1 m 1 m 1 m 1 m To DOUBLE the resolution, we have to QUADRUPLE the cells So be very careful, because files can get really big, really fast.
matter! 10 m resolution 200 m resolution Arc will give you four choices for resampling: 1. Nearest Neighbor: whatever value was in the new cell’s center is assigned to the new cell This really quick, and never introduces new cell values But it’s best for discrete data
matter! 10 m resolution 200 m resolution Arc will give you four choices for resampling: 2. Bilinear: values of the four nearest cells in the original raster are weight-averaged and the value is assigned to the new raster cell This is a little slower, but preserves continuous data (elevation, slope, temperature, precip, noise data)
matter! 10 m resolution 200 m resolution Arc will give you four choices for resampling: 3. Cubic Convolution: like bilinear, except with 16 nearest cells I can’t recall an instance where I’ve had to use these. 4. Majority like nearest neighbor, except with 16 nearest cells
raster you want to change cell sizes of The new cell size (in the original raster’s coordinate system units!!!!) The technique to use for computing the cell values of the new raster There’s nothing stopping you from making a raster a finer resolution… Except (a) file size and (b) whether it’s actually meaningful
to a new file New raster filename/type The new cell size (in the original raster’s coordinate system units!!!!) You need to click ‘Settings’ to define the resample method (bilinear, nearest neighbor, etc.) that you want to use.
to a new file New raster filename/type The new cell size (in the original raster’s coordinate system units!!!!) You need to click ‘Settings’ to define the resample method (bilinear, nearest neighbor, etc.) that you want to use.
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