Remote Sensing - MODIS

Work with MODIS remote sensing data in in R.

In this lesson we will explore how to import and work with MODIS remote sensing data in raster geotiff format in R. We will cover importing many files using regular expressions and cleaning raster stack layer names for nice plotting.

last updated: 18 Sep 2017

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

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