Remote Sensing Data Analysis in R

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.

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