RIGHT: Active sensors emit their own energy from a source on the instrument itself. LEFT: Remote sensing systems which measure energy that is naturally available are called passive sensors. This means that the sensor is measuring light energy from an existing source - in this case the sun. Multispectral remote sensing is a passive remote sensing type. This week you will work with multispectral imagery or multispectral remote sensing data. This means that the instrument emits energy actively rather than collecting information about light energy from another source (the sun). If you recall, a lidar instrument is an active remote sensing instrument. In the previous weeks of this course, you learned about lidar remote sensing. You will need a computer with internet access to complete this chapter. Describe the spatial and temporal tradeoffs between data collected from a satellite vs an airplane.Describe at least 3 differences between NAIP imagery, Landsat 8 and MODIS in terms of how the data are collected, how frequently they are collected and the spatial and spectral resolution.Define multispectral (or multi-band) remote sensing data.Define spectral and spatial resolution and explain how they differ from one another.Learning ObjectivesĪfter completing this chapter, you will be able to: In this chapter, you will learn about various options for multispectral remote sensing data and the advantages and disadvantages of these data options. Intermediate-earth-data-science-textbook HomeĬhapter Seven - Intro to Multispectral Remote Sensing Data Use Data for Earth and Environmental Science in Open Source Python Home.Chapter 12: Design and Automate Data Workflows.SECTION 7 INTRODUCTION TO API DATA ACCESS IN OPEN SOURCE PYTHON.SECTION 6 INTRODUCTION TO HIERARCHICAL DATA FORMATS IN PYTHON.
Chapter 11 Calculate vegetation indices in python.Chapter 7 Intro to multispectral remote sensing data.
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