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Remote sensing is a type of geospatial technology that is used to acquire information about an object or phenomenon without making any physical contact. Some major advantages of remote sensing include observation and monitoring of surface area and objects, and collecting information over large spatial areas. It is used to characterize physical objects or natural features on the ground. Data collected through remote sensing is used with other available data, which helps to facilitate decision-making. Remote sensing imagery must be interpreted in order to derive meaningful information. Image interpretation involves identifying and measuring various targets (features or objects) in an image. Before image analysis, the images can also be processed digitally. The results of image interpretation can be used for various applications such as classifying and categorizing vegetation and water management. This book unravels the recent studies on remote sensing and image interpretation. It will serve as a valuable source of reference for graduate and postgraduate students.
Remote sensing is the science of obtaining information about objects or areas from a distance, usually from satellites and aircrafts. It has diverse applications in a number of fields including hazard assessment and natural resource management. Remote sensing data plays a crucial role in global environmental analysis and contributes towards economic development. However, there are some challenges in real life applications of remote sensing including object detection, image classification, image correction, image segmentation, and change detection. Research is underway for developing advanced techniques for interpreting and integrating remote sensing images. Statistical computing methods and machine learning techniques such as graphical models, deep learning, kernel machines, and sparse coding are used to analyze remote sensing data. This data can be combined with other layers of information by using GIS. This book provides significant information to help develop a good understanding of remote sensing image analysis and integration. Through it, we attempt to further enlighten the readers about the new concepts in this area of study.
Basic Science in Obstetrics and Gynaecology is an essential one-stop, portable revision tool for candidates preparing for Part 1 of the MRCOG specialist examination. Fully updated by experts who are internationally recognised in their fields, the chapters match the syllabus of the exam, combining detailed coverage of the science with related self-assessment questions that you will encounter in the MRCOG. This book is suitable for doctors specialising in obstetrics and gynaecology who want the best chance possible to pass this difficult exam. Covers all topics for the MRCOG Part 1, including basic science and clinical anatomy Contains self-assessment SBA questions to consolidate learning Includes three mock exam papers enabling you to practice for the exam Digital version included Fully revised and updated Completely updated self-assessment chapter, written in the style of the new exam Extensive revision of fetal physiology, biophysics, biochemistry, endocrinology, and physiology New top-quality illustrations to support learning
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