Remote Sensing - Landsat

Work with Landsat Remote Sensing Data in Python

Landsat 8 data are downloaded in tif file format. Learn how to open and manipulate Landsat data in Python. Also learn how to create RGB and color infrafed Landsat image composites.

last updated: 16 Oct 2018

Introduction to Multispectral Remote Sensing Data in Python

Multispectral remote sensing data can be in different resolutions and formats and often has different bands. Learn about the differences between NAIP, Landsat and MODIS remote sensing data as it is used in Python.

last updated: 16 Oct 2018

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: 10 Jan 2018

Clean Remote Sensing Data in Python - 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: 06 Nov 2018

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: 30 Jul 2018

Calculate NDVI in R: Remote Sensing Vegetation Index

NDVI is calculated using near infrared and red wavelengths or types of light and is used to measure vegetation greenness or health. Learn how to calculate remote sensing NDVI using multispectral imagery in R.

last updated: 30 Jul 2018

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: 08 Dec 2017