Remote Sensing of the Environment By John R. Jensen

                                        

Remote Sensing of the Environment: An Earth Resource Perspective 2nd Edition PDF Download Ebook. John R. Jensen introduces the ideas of remote sensing from an Earth resource perspective. It addresses for an important sources of remote sensing information.

This book describes the elemental traits of electromagnetic radiation and the way the energy interacts with Earth materials such as vegetation, water, soil and rock, how the energy reflected or emitted from these materials is recorded using a wide range of remote sensing instruments (e.g., cameras, multispectral scanners, hyperspectral instruments, RADAR), and the way we can extract fundamental biophysical or land use/land cover information from the remote sensor data.

The historical past of remote sensing, the principles of visual photo-interpretation and photogrammetry are also presented. Utility chapters focus on distant sensing of vegetation, water, city land use, and soil/rock and geomorphic features. The book was written for physical, pure, and social scientists concerned about how distant sensing of the environment can be utilized to solve real-world problems.

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Introductory Digital Image Processing 3edition By Jensen

                                              
Introductory Digital Image Processing 3rd Edition PDF Download Ebook. John R. Jensen focuses exclusively on the art and science of digital picture processing of satellite and plane-derived remotely-sensed data for resource management. Extensively illustrated, it explains the way to extract biophysical information from distant sensor data for nearly all multidisciplinary land-based mostly environmental projects.

Author additionally explains methods to apply digital picture processing techniques to remotely sensed imagery, and how one can acquire helpful results and information during this process. It assumes a course in introductory distant sensing or air picture interpretation, faculty algebra, and basic statistics. 

This text shows a classification of digital image enhancement algorithms in frequent use. The classification given is useful but neither full nor unique. The algorithms are broadly divided into two classes, level transforms and neighborhood operations. The function is computed primarily based on global statistics of the image. One can course of a picture to have a desired gain and offset, for example, based on the mean and customary deviation, or alternatively, the minimal and most, of the input. 

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