Glacier Change Detection in GRASS GIS

Purpose

The purpose of this tutorial is to visualize and assess the change in the extent of a marine-terminating glacier in the Canadian Arctic over time. To assess the change in extent, this tutorial will demonstrate how to classify the snow/ice cover in Landsat 8/9 images using a generic Normalized Difference Snow Index (NDSI) technique. This tutorial is

Software Download and Instillation

This tutorial is demonstrated in Windows using GRASS GIS version 8.4.0. The latest version of GRASS GIS can be downloaded here

Data Sources

Landsat 8 Imagery

This tutorial uses the green and Short-Wave Infrared (SWIR) bands from 8 Landsat 8/9 images. The images were captured in late July/august when the Fiord was mostly free of ice. The Landsat imagery used in this tutorial can be found here

Additional Landsat imagery can be downloaded from the USGS Earth Explorer website. To download the data, create a free student account.

The ID and metadata for the specific images used in this lab are in the table below.

Landsat Image ID	Bands Used	Metadata
LC08_L2SP_060246_20140825_20200911_02_T1	Example	Example
LC08_L2SP_046248_20150810_20200908_02_T1	Example	Example
LC08_L2SP_057001_20160825_20200906_02_T1	Example	Example
LC08_L2SP_046248_20180802_20200831_02_T1	Example	Example
LC08_L2SP_048248_20190718_20200827_02_T1	Example	Example
LC08_L2SP_074244_20200811_20200918_02_T1	Example	Example
LC09_L2SP_046248_20220821_20230401_02_T1	Example	Example
LC08_L2SP_067245_20230819_20230826_02_T1	Example	Example
LC09_L2SP_052247_20240820_20240821_02_T1	Example	Example

Supplementary Vector Data

The supplementary vector data for this tutorial can be found here. The vector data includes a polygon computational region and a polygon outline of the Otto Glacier.

Methods

Import Raster Data

Landsat imagery from USGS Earth Explorer will come in a .TAR format when downloaded. Use 7Zip file manager to extract the .TIF files.

To import the Landsat images to the workspace, go to "File" > "Import raster data" > "Import of common raster formats [r.in.gdal]"

Next, press "Browse" and find the extracted folders for the Landsat imagery. Import bands 3 and 6 for each image (.TIF files ending in "B6" and "B3"). Use a standardized naming convention for all of the images to make the analysis easier. For example, bands 3 and 6 from the 2014 image can be named L8_2014_B3 and L8_2014_B6, respectively.

Import Vector Data

Set Computational Region

GRASS GIS requires a computational region to properly perform calculation on raster. To set

Mask Rasters

To isolate the glacier tongue from the rest of the image, we will use a vector mask.

Calculate NDSI

Use the "Raster map calculator" to calculate the NDSI rasters for each year. To find the raster calculator, go to "Raster" > "Raster map calculator" > "Raster map calculator [r.mapcalc]".

The NDSI formula is "(Green-SWIR)/(Green+SWIR)," where Green is the green band, and SWIR is the SWIR band for an image. For Landsat 8/9 imagery, B3 is the green band, and B6 is the SWIR band.

In the "Expression" text box, paste this formula: (float( raster_B3 ) - float( raster_B6 ) ) /(float( raster_B3 ) + float( raster_B6 ) ). The float function allows the output to have decimal places.

Then, change raster_B3 and raster_B6 to the appropriate names. Raster names can be input by clicking on the raster from the "Insert existing raster map" drop-down menu.

Finally, press "Run". The new NDSI raster will be added to the workspace. Repeat this step for every Landsat image in the time series.

Reclassify NDSI Rasters

Once we calculate the NDSI rasters, we need to reclassify them to extract the glacier from the rest of the image