Master raster data management

What you'll learn

You will understand the structure of raster data

You will be able to analyze digital terrain models

You will be able to assign coordinate information to scanned sheets.

You will be able to edit the appearance of raster data with symbology tools

With conditional toolset, you will be able to define various conditions for the data and control the data.

You will be able to perform statistical analysis using pixel values ​​of raster data.

Requirements

You must have ArcGIS Pro software. You can use the trial version if necessary.

You must have basic knowledge of Geographic Information Systems.

Description

With this course, you will specialize in managing raster data. In my basic level training, we mainly used vector data, that is, data in point, line and polygon formats. Raster data, which forms the basis of Geographic Information System studies together with vector data, is very important for geographical analyses.With this course, which is a continuation of the Basic Level Training, you will understand the structure of raster data, prepare them for your analyses and analyze them using various tools. In addition, this course will be very useful for you to understand why you are doing what you are doing.In addition, since aerial photographs and satellite images are also in raster format, understanding the structure of raster data will be very useful in remote sensing studies.Within the scope of the training, you will have information on the following topics;- Definition of raster data, structure, raster data types, different formats, sample raster data- Introduction to digital terrain model, difference from digital surface model, examination on map- Assigning coordinate information to printed sheets in digital environment with geo-referencing and displaying in correct position- General information about contour lines, generation of contour lines from digital terrain model- Definition and structure of TIN data, generation of TIN data using contour lines- Production of maps representing terrain surface such as slope and aspect using digital terrain model- Defining various conditions to raster data with conditional analyses and checking the data according to these conditions- Various statistical analyses using pixel values ​​of raster data with Focal Statistics and other tools

Overview

Section 1: Introduction

Lecture 1 Fundamentals of Raster Data

Lecture 2 Introduction to Digital Terrain Models

Lecture 3 Import and Export Raster Data

Section 2: Visualize Raster Data

Lecture 4 Symbology Tools

Section 3: Georeferencing

Lecture 5 Assign Coordinate Information to Scanned Map

Section 4: Raster Data Processing

Lecture 6 Resampling

Lecture 7 Reclassification

Lecture 8 Clip Raster

Lecture 9 Raster Calculator

Lecture 10 Raster to Polygon

Lecture 11 Mosaic to New Raster

Lecture 12 Extract Values to Points

Lecture 13 Contour

Lecture 14 TIN

Section 5: Raster Data Analysis

Lecture 15 Surface Analysis - 1 (Slope, Aspect, Hillshade)

Lecture 16 Surface Analysis - 2 (Curvature, Viewshed)

Lecture 17 Con (Conditional Toolset)

Lecture 18 Set Null (Conditional Toolset)

Lecture 19 Pick (Conditional Toolset)

Lecture 20 Cell Statistics

Lecture 21 Focal Statistics

Lecture 22 Zonal Statistics

Lecture 23 Zonal Statistics - 2

Geography and Urban and Regional Planning, Architecture, Map - Construction - Forestry - Mining - Geology - Environmental Engineering students