![]() For instance, it is known that healthy vegetation reflects light strongly in the near infrared band and less strongly in the visible portion of the spectrum. The math associated with calculating a vegetation index is derived from the physics of light reflection and absorption across bands. Or use earthpy et.data.get_data('cold-springs-fire') About Vegetation IndicesĪ vegetation index is a single value that quantifies vegetation health or structure. You will need a computer with internet access to complete this lesson and the Cold Springs Fire data.ĭownload Cold Springs Fire Data (~150 MB) Calculate dNBR using multispectral imagery in Python.Describe how the dNBR index is used to quantify fire severity.Calculate NDVI using multispectral imagery in Python.Describe how the NDVI index is used to quantify vegetation health (greeness).Describe what a vegetation index is and how it is used with spectral remote sensing data.Learning ObjectivesĪfter completing this tutorial, you will be able to: In this chapter, you will learn how to calculate vegetation indices such as normalized difference vegetation index (NDVI) and normalized burn ratio (NBR) from multispectral remote sensing data in Python. Intermediate-earth-data-science-textbook HomeĬhapter Eleven - Calculate Vegetation Indices From Remote Sensing Data Using Python ![]() 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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