An introduction to remotely sensed data analysis

Abstract

Remote sensing (RS) is an important tool for studying natural resources and the environment. There is an extremely large number of possible applications for remotely sensed data. RS is defined as the technique for deriving information about the Earth’s surface and estimating geo-bio-physical properties using electromagnetic radiation. RS techniques are widely used in agriculture and agronomy. In fact, remotely sensed images provide a spatial coverage of a field, and can be used as a proxy for measuring crop and soil attributes. In this chapter, we discuss some statistical techniques for improving and interpreting the remotely sensed images with particular reference to their use in agriculture.