Open-Source GIScience with QGIS

Geospatial Data Science and Remote Sensing

Open-Source GIScience with QGIS

In this course, you will explore the open-source QGIS software for working with geosptial data, performing spatial analysis, and processing remotely sensed data. You will also explore associated technologies including GDAL, PROJ, GRASS, SAGA, and Orfeo Toolbox. It is assumed that you have some prior experience working with geospatial and remotely sensed data; however, no prior experience with QGIS is assumed. If you do not have a GIS or remote sensing background, I would recommend checking out the West Virginia View Introduction to GIScience and Remote Sensing classes. This coure will not make use of coding or scripting languages.

After completing this course you will be able to:

describe and use a variety of open data formats
digitize new data and make map layouts in QGIS
apply QGIS to visualize, query, and analyze vector and raster geospatial data
process, analyze, and classify multispectral imagery
use available resources to further expand your knowledge of open-source technologies

Resources

UK Data

Digitizing

US Data

Portland Data

Burn Ratio

Supervised Classification

Machine Learning Example

Example GIS Data

QGIS Intro

Open-Source GIS

Download/Install

QGIS UI

Plugins

Base Maps

Read in Data

Symbolize Vectors

Symbolize Rasters

Choropleth Maps

Data Conversion

Map Layouts

Digitizing

A1: Map Layouts

A2: Digitizing

Vector-Based Spatial Analysis

Attribute Tables

Selection and Query

Vector Overlay

Vector Analysis

Vector Summarize

Research Tools

Select by Location

Merge Vectors

Bounding Geometry

Table/Spatial Joins

A3: Query and Selection

A4: Vector Analysis

Raster-Based Spatial Analysis

Raster NoData

Raster Reclassify

Mask and Merge

Raster Calculator

Exract at Points

Zonal Summary

Sieve

Resample

Euclidean Distance

Kernel Density

Neighborhood

Data Conversion

Terrain Analysis

A5: Raster Modeling

A6: Raster Summarization

Image Analysis and Remote Sensing

Georeferencing

Stack Bands

Band Ratios

Extract Multi-Band

Mask and Merge

Zonal Stats Multi-Band

dNBR

Orfeo Toolbox

PCA

Haralick

Unsupervised

Training Data

Supervised: Train

Supervised: Predict

Image Segmentation

LiDAR

A7: Burn Ratios

A8: Supervised Classification

QGIS Advanced

Batch Processing

Graphical Modeler

QGIS to Leaflet

A9: Graphical Modeler