Remote Sensing - Landsat

Clean Remote Sensing Data in R - Clouds, Shadows & Cloud Masks

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

last updated: 30 Oct 2017

Landsat Remote Sensing tif Files in R

In this lesson you will cover the basics of using Landsat 7 and 8 in R. You 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 you will plot the data using various 3 band combinations including RGB and color-infrared.

last updated: 19 Oct 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, you will review the basic principles associated with calculating a vegetation index from raster formatted, landsat remote sensing data in R. You will then export the calculated index raster as a geotiff using the writeRaster() function.

last updated: 03 Nov 2017

How multispectral imagery is drawn on computers - Additive Color Models

In this lesson you will learn the basics of using Landsat 7 and 8 in R. You 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 you will plot the data using various 3 band combinations including RGB and color-infrared.

last updated: 19 Oct 2017