N.K. Sinha

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.

This book contains 41 chapters that cover a wide range of topics related to conservation agriculture practices in various regions, with a particular focus on rainfed areas. The authors aim to provide a comprehensive resource for researchers, scientists, students, farmers, and land managers, to support the efficient and sustainable management of natural resources. The book emphasizes the importance of conservation agriculture and its potential to address pressing environmental and social issues.