Raster Analysis Basics#

1. Raster Properties#

1.1 What is raster data?#

In its simplest form, a raster consists of a matrix of cells (or pixels) organized into rows and columns (or a grid) where each cell contains a value representing information, such as temperature. Raster grids can be outputs from raseter analysis, digital aerial photographs, imagery from satellites, digital pictures, or even scanned maps.

Single-band:

Temperature, elevation, soil pH value

RGB composite:

Time series, satellite imagery

single-band satellite image	3-band RGB composite satellite image

1.2 List Rasters#

import arcpy

gdb_worksp = r"..\data\class_data.gdb"
arcpy.env.workspace = gdb_worksp

rasters = arcpy.ListRasters()
rasters

['dem', 'habitat']

2. Run Raster Tools in ArcGIS Pro#

2.1 Euclidean distance #

2.2 Slice #

Slice method- Natural Breaks:

Natural Breaks classes are based on natural groupings inherent in the data.Class breaks are identified that best group similar values and that maximize the differences between classes. Natural breaks are data-specific classifications and not useful for comparing multiple maps built from different underlying information.