Remote Sensing - Landsat

Clean remote sensing data in R - Clouds, shadows & cloud masks

In this lesson, we will learn how to deal with clouds when working with spectral remote sensing data. We will learn how to mask clouds from landsat and MODIS remote sensing data in R using the mask() function. We will also discuss issues associated with cloud cover - particular as they relate to a research topic.

last updated: 18 Sep 2017

Calculate a remote sensing derived vegetation index in R

A vegetation index is a single value that quantifies vegetation health or structure. In this lesson, we will review the basic principles associated with calculating a vegetation index from raster formated, landsat remote sensing data in R. We will then export the calculated index raster as a geotiff using the writeRaster() function.

last updated: 18 Sep 2017

Landsat remote sensing tif files in R

In this lesson we will cover the basics of using LAndsat 7 and 8 in R. We will learn how to import landsat data stored in .tif format - where each .tif file represents a single band rather than a stack of bands. Finally we will plot the data using various 3 band combinations including RGB and color-infrared.

last updated: 18 Sep 2017

Introduction to spectral remote sensing data

This lesson overviews the key components of spectral remote sensing. We briefly overview: active vs passive sensors, the electromagnetic spectrum and space-borne vs airborne sensors.

last updated: 17 Aug 2017