Remote Sensing Data Analysis in R

Alka Rani

ISBN 10: 0367725622 / ISBN 13: 9780367725624

Published by Taylor & Francis, CRC Press, 2021

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - Remote Sensing Data Analysis in R is a guide book containing codes for most of the operations which are being performed for analysing any satellite data for deriving meaningful information. The goal of this book is to provide hands on experience in performing all the activities from the loading of raster and vector data, mapping or visualisation of data, pre-processing, calculation of indices, classification and advanced machine learning algorithms on remote sensing data in R. The reader will be able to acquire skills to carry out most of the operations of raster data analysis - more flexibly - in open-source freely available software i.e. R which are generally available in the paid digital image processing software.Note: T& F does not sell or distribute the Hardback in India, Pakistan, Nepal, Bhutan, Bangladesh and Sri Lanka. The title is co-published with New India Publishing Agency.

Seller Inventory # 9780367725624

Bibliographic Details

• Title: Remote Sensing Data Analysis in R
• Publisher: Taylor & Francis, CRC Press
• Publication Date: 2021
• Language: English
• ISBN 10: 0367725622
• ISBN 13: 9780367725624
• Binding: Buch
• Condition: Neu
• Dimensions: 229W x 152H x 20D millimeters 229 millimeters width by 152 millimeters height by 20 millimeters depth
• Weight: 689 grams

About this title

Synopsis

Remote Sensing Data Analysis in R is a guide book containing codes for most of the operations which are being performed for analysing any satellite data for deriving meaningful information. The goal of this book is to provide hands on experience in performing all the activities from the loading of raster and vector data, mapping or visualisation of data, pre-processing, calculation of indices, classification and advanced machine learning algorithms on remote sensing data in R. The reader will be able to acquire skills to carry out most of the operations of raster data analysis – more flexibly - in open-source freely available software i.e. R which are generally available in the paid digital image processing software. Note: T& F does not sell or distribute the Hardback in India, Pakistan, Nepal, Bhutan, Bangladesh and Sri Lanka. The title is co-published with New India Publishing Agency.

About the Author

Alka Rani, Scientist, ICAR – Indian Institute of Soil Science, Madhya Pradesh, India

Nirmal Kumar, Scientist, ICAR – National Bureau of Soil Survey and Land Use Planning, Maharashtra, India

S.K. Singh, Director, ICAR – National Bureau of Soil Survey and Land Use Planning, Maharashtra, India

N.K. Sinha, Scientist, ICAR – Indian Institute of Soil Science, Madhya Pradesh, India

R.K. Jena, Scientist, ICAR – National Bureau of Soil Survey and Land Use Planning, Assam, India

Himesh Patra, Scientist (Geoinformatics), Crop Data Technology Private Limited, Maharashtra, India