Hands-On Geospatial Analysis with QGIS 3.10 and Python

This video provides an overview of the entire course.

See why combining QGIS and Python is beneficial to your geospatial analysis.

   •  Familiarize yourself with the operational environments for QGIS and Python

   •  Describe geospatial workflow

   •  Understand the concepts of reproducibility and automation

See how QGIS fulfills the need of modern geospatial analysis.

   •  Define the concept of GIS

   •  GIS is a model of reality

   •  Discuss applications of GIS

Download and set software ready for the course tutorials.

   •  Follow provided download link

   •  Download the correction version

   •  Software installation

Provide basic introduction to spatial and remote sensing data.

   •  Define both terms

   •  See examples of datasets

   •  Explore a brief of remote sensing

Automate the creation of buffer area for a number of selected bike routes.

   •  Input origin map layer

   •  Complete Python script, output path, and file name.

   •  Paste script into Python console in QGIS

Getting comfortable with operating in QGIS and Python.

   •  Go over simple features within QGIS

   •  Discuss methods of viewing the data

   •  Open up and try out PyCharm developer environment

Explore two ways of obtaining geospatial plot.

   •  In PyCharm, convert tabular data to geospatial data

   •  Output map plot in PyCharm

   •  Query, download, and visualize point cloud data

Convert a .csv dataframe to a geospatial shapefile in QGIS.

   •  Locate Add Delimited Text Layer tool

   •  Fill in .csv file path

   •  Define x and y coordinates with longitude and latitude

Tell the differences between vector and raster spatial model classes.

   •  Define field based spatial model class

   •  Define object based spatial model class

   •  Provide examples for vector and raster spatial layers in QGIS

Import, stylize, and obtain information from vector layer.

   •  Start QGIS by opening Video 2 project

   •  View attribute table and edit symbology

   •  Extract a region of selection and output

Clip a vector file from another overlay.

   •  Open up QGIS containing two vector layers to clip

   •  Use Clip tool from geoprocessing toolbox

   •  Edit symbology to reflect subzones of clipped layer

In this video, you will be able to use a field calculator for mathematical computations, string concatenation, and conditional query and processing.

   •  Learn about basic SQL-like operators and Boolean characters

   •  Open field calculator from attribute table view

   •  Conduct vector data manipulation following video steps

Jot down vector points from scratch and save them to file.

   •  Use a non-vector layer to start

   •  Define vector outline on using vector toolset

   •  Write data to file and output

Learn about four types of resolutions in remote sensing.

   •  Define remote sensing

   •  Learn about spatial, radiometric, spectral, and temporal resolution

   •  View video demo “Imaging the Entire Earth”

See query from USGS.

   •  Select the area of query

   •  Browse and select data type /source

   •  Download and extract zipped earth imagery file

Learn about Landsat band composites and identify landcover features.

   •  Familiarize yourself with Landsat 7 and its data

   •  Learn about visible and non-visible electromagnetic spectrum

   •  Try different band composites in QGIS and distinguish land features

Get an introduction to GDAL library in Python and project raster.

   •  Recall projection information of a map

   •  Import GDAL library, using gdal_warp function

   •  Fix alpha band for NA values and re-project

Using gdal_demProcessing to create DEM and hillshade maps.

   •  Discuss purpose of digital elevation and hillshade map

   •  Learn to compose a color relief code file

   •  Process and output terrain maps