High Spatial Resolution Remote Sensing Data, Analysis, and Applications

Preface

1 INTRODUCTION

High spatial resolution data provide a novel data source for addressing environmental questions with an unprecedented level of detail. These remote sensing data are a result of significant advances in image acquisition platforms and sensors, including satellite, manned aircraft, and unmanned aerial vehicle (UAV) platforms. Furthermore, the recent development of commercially operated satellite platforms with high spatial resolution sensors allows for the collection of a large amount of images at regular time intervals, with relatively large footprints (i.e., image swathes). For example, the WorldView series, with the WorldView-1 satellite launched on September 18, 2007, and WorldView-4 launched on November 11, 2016, are capable of resolving objects at 31 cm in the panchromatic band and at 1.24 m in 4 (or 8)-band multispectral over a 13.1-km-wide swath. 

ENVIRONMENTAL HYDROLOGY SECOND EDITION

BOOK ORGANIZATION

The purpose of this book is to provide a qualitative understanding of hydrologic processes and an introduction to methods for quantifying hydrologic parameters and processes. It has been prepared for use in introductory hydrology courses taught at universities to students of environmental science, natural resources, geology, geography, agricultural engineering, and environmental engineering.

Digital Image Processing Using MATLAB

Digital Image Processing Using MATLAB

Preface of the Book

This edition of Digital Image Processing Using MATLAB is a major revision of the book. As in the previous edition, the focus of the book is based on the fact that solutions to problems in the field of digital image processing generally require extensive experimental work involving software simulation and testing with large sets of sample images.