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Satellite Remote Sensing Data Bootcamp With Opensource Tools

You're reading from Satellite Remote Sensing Data Bootcamp With Opensource Tools Pre-process and Analyze Satellite Remote Sensing Data with Free Software

Product type Video

Published in Nov 2019

Publisher Packt

ISBN-13 9781839213236

Length 4hrs

Edition 1st Edition

Languages

R

Tools

QGIS

Concepts

Web Programming

Author (1):

Minerva Singh

View More author details

Table of Contents (6) Chapters

1. Introduction to Satellite Remote Sensing Data Analysis FREE CHAPTER

2. Introduction to Optical Remote Sensing Data

3. Pre-Processing Optical Data

4. The Many Uses of Optical Data

5. Classification of Remote Sensing Satellite Data

6. Introduction to Active Remote Sensing Data: Synthetic Aperture Radar

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Authors (1)

Minerva Singh

Minerva Singh

Minerva Singh is a PhD graduate from Cambridge University where she specialized in Tropical Ecology. She is also a part-time Data Scientist. As part of her research, she must carry out extensive data analysis, including spatial data analysis. For this purpose, she prefers to use a combination of freeware tools: R, QGIS, and Python. She does most of her spatial data analysis work using R and QGIS. Apart from being free, these are very powerful tools for data visualization, processing, and analysis. She also holds an MPhil degree in Geography and Environment from Oxford University. She has honed her statistical and data analysis skills through several MOOCs, including The Analytics Edge and Statistical. In addition to spatial data analysis, she is also proficient in statistical analysis, machine learning, and data mining.

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