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Remote Sensing Digital Image Processing in R

  • Courage KamusokoEmail author
Chapter
  • 825 Downloads
Part of the Springer Geography book series (SPRINGERGEOGR)

Abstract

Remote sensing digital image processing and classification provide critical land use/cover and land use/cover change information at multiple spatial and temporal scales. Over the past decades, a plethora of image processing and classification methods have been developed and applied. The purpose of this chapter is to introduce remote sensing digital image processing and machine learning in R. The chapter will cover remote sensing image processing and classification, a brief overview on R and RStudio, tutorial exercises, data and test site.

Keywords

Remote sensing Digital image processing Machine learning RStudio 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Asia Air Survey Co., Ltd.KawasakiJapan

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