Remote Sensing of the Environment: An Earth Resource Perspective 2/e
Author | : John R. Jensen |
Publisher | : Pearson Education India |
Total Pages | : 660 |
Release | : 2009 |
Genre | : Earth sciences |
ISBN | : 9788131716809 |
Download Remote Sensing Of The Environment An Earth Resource Perspective 2 E full books in PDF, epub, and Kindle. Read online free Remote Sensing Of The Environment An Earth Resource Perspective 2 E ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Author | : John R. Jensen |
Publisher | : Pearson Education India |
Total Pages | : 660 |
Release | : 2009 |
Genre | : Earth sciences |
ISBN | : 9788131716809 |
Author | : John R. Jensen |
Publisher | : |
Total Pages | : 600 |
Release | : 2000 |
Genre | : Computers |
ISBN | : |
This book introduces the principles of remote sensing from an Earth resource perspective. It describes a) the fundamental characteristics of electromagnetic radiation and how the energy interacts with Earth materials such as vegetation, water, soil and rock, b) how the energy reflected or emitted from these materials is recorded using a variety of remote sensing instruments (e.g., cameras, multispectral scanners, hyperspectral instruments, RADAR), and c) how we can extract fundamental biophysical or land use/land cover information from the remote sensor data. The history of remote sensing, the principles of visual photo-interpretation, and photogrammetry are also presented. Application chapters focus on remote sensing of vegetation, water, urban land use, and soil/rock and geomorphic features. The book was written for physical, natural, and social scientists interested in how remote sensing of the environment can be used to solve real-world problems. The following features make this book easy to comprehend and apply: a) it contains hundreds of illustrations specially designed to make complex principles easy to understand, b) a substantial reference list at the end of each chapter, c) the 8.5 x 11" format allows the remote sensing images and diagrams to be easily interpreted, d) 32 pages of color are used to display remote sensing images or biophysical information that may be extracted from remote sensor data, and e) an Appendix provides Internet addresses for the most important sources of remote sensing information. Exercises and book illustrations are made available to instructors via the author's website. This book is a companion to "Introductory Digital Image Processing: A Remote Sensing Perspective" (Prentice-Hall, Inc., 1996) which introduces the fundamentals of digital image analysis. It is ideal for undergraduate or graduate courses in airphoto interpretation and remote sensing.
Author | : John R. Jensen |
Publisher | : |
Total Pages | : 584 |
Release | : 2005 |
Genre | : Computers |
ISBN | : |
For junior/graduate-level courses in Remote Sensing in Geography, Geology, Forestry, and Biology. This revision of Introductory Digital Image Processing: A Remote Sensing Perspective continues to focus on digital image processing of aircraft- and satellite-derived, remotely sensed data for Earth resource management applications. Extensively illustrated, it explains how to extract biophysical information from remote sensor data for almost all multidisciplinary land-based environmental projects. Part of the Prentice Hall Series Geographic Information Science.
Author | : George Joseph |
Publisher | : Universities Press |
Total Pages | : 522 |
Release | : 2005 |
Genre | : Technology & Engineering |
ISBN | : 9788173715358 |
This book presents the fundamental concepts covering various stages of remote sensing from data collection to end utilization, so that it can be appreciated irrespective of the discipline in which the reader has graduated. The physical principles on which remote sensing are based has been explained without getting into complicated mathematical equations.
Author | : Lalit Kumar |
Publisher | : MDPI |
Total Pages | : 420 |
Release | : 2019-04-23 |
Genre | : Science |
ISBN | : 3038978841 |
In a rapidly changing world, there is an ever-increasing need to monitor the Earth’s resources and manage it sustainably for future generations. Earth observation from satellites is critical to provide information required for informed and timely decision making in this regard. Satellite-based earth observation has advanced rapidly over the last 50 years, and there is a plethora of satellite sensors imaging the Earth at finer spatial and spectral resolutions as well as high temporal resolutions. The amount of data available for any single location on the Earth is now at the petabyte-scale. An ever-increasing capacity and computing power is needed to handle such large datasets. The Google Earth Engine (GEE) is a cloud-based computing platform that was established by Google to support such data processing. This facility allows for the storage, processing and analysis of spatial data using centralized high-power computing resources, allowing scientists, researchers, hobbyists and anyone else interested in such fields to mine this data and understand the changes occurring on the Earth’s surface. This book presents research that applies the Google Earth Engine in mining, storing, retrieving and processing spatial data for a variety of applications that include vegetation monitoring, cropland mapping, ecosystem assessment, and gross primary productivity, among others. Datasets used range from coarse spatial resolution data, such as MODIS, to medium resolution datasets (Worldview -2), and the studies cover the entire globe at varying spatial and temporal scales.
Author | : John R. Jensen |
Publisher | : |
Total Pages | : 362 |
Release | : 1996 |
Genre | : Computers |
ISBN | : |
For junior/graduate-level courses in Remote Sensing in Geography, Geology, Forestry, and Biology. This text focuses exclusively on the art and science of digital image processing of satellite and aircraft-derived remotely-sensed data for resource management. Extensively illustrated, it explains how to extract biophysical information from remote sensor data for almost all multidisciplinary land-based environmental projects. Part of the Prentice Hall Series Geographic Information Science.
Author | : Thomas M. Lillesand |
Publisher | : John Wiley & Sons |
Total Pages | : 838 |
Release | : 2004 |
Genre | : Science |
ISBN | : |
From recent developments in digital image processing to the next generation of satellite systems, this book provides a comprehensive introduction to the field of remote sensing and image interpretation. This book is discipline neutral, so readers in any field of study can gain a clear understanding of these systems and their virtually unlimited applications. * The authors underscore close interactions among the related areas of remote sensing, GIS, GPS, digital image processing, and environmental modeling. * Appendices include material on sources of remote sensing data and information, remote sensing periodicals, online glossaries, and online tutorials.
Author | : John R. Jensen |
Publisher | : Pearson/Education |
Total Pages | : 400 |
Release | : 2012-02 |
Genre | : Geographic information systems |
ISBN | : 9780133029536 |
Introduction to GIS -- Georeferencing -- Data for GIS -- Data Quality -- Spatial Data Models and Databases -- Spatial Analysis of Vector and Raster Data -- Network Analysis -- Statistics and Spatial Data Measurements -- Spatial Analysis of 3-dimensional Data -- Cartography Using a GIS -- GIS Hardware/Software and Programming -- Future Considerations.
Author | : Prem C. Pandey |
Publisher | : John Wiley & Sons |
Total Pages | : 528 |
Release | : 2021-01-26 |
Genre | : Technology & Engineering |
ISBN | : 1119615976 |
Sustainable management of natural resources is an urgent need, given the changing climatic conditions of Earth systems. The ability to monitor natural resources precisely and accurately is increasingly important. New and advanced remote sensing tools and techniques are continually being developed to monitor and manage natural resources in an effective way. Remote sensing technology uses electromagnetic sensors to record, measure and monitor even small variations in natural resources. The addition of new remote sensing datasets, processing techniques and software makes remote sensing an exact and cost-effective tool and technology for natural resource monitoring and management. Advances in Remote Sensing for Natural Resources Monitoring provides a detailed overview of the potential applications of advanced satellite data in natural resource monitoring. The book determines how environmental and - ecological knowledge and satellite-based information can be effectively combined to address a wide array of current natural resource management needs. Each chapter covers different aspects of remote sensing approach to monitor the natural resources effectively, to provide a platform for decision and policy. This important work: Provides comprehensive coverage of advances and applications of remote sensing in natural resources monitoring Includes new and emerging approaches for resource monitoring with case studies Covers different aspects of forest, water, soil- land resources, and agriculture Provides exemplary illustration of themes such as glaciers, surface runoff, ground water potential and soil moisture content with temporal analysis Covers blue carbon, seawater intrusion, playa wetlands, and wetland inundation with case studies Showcases disaster studies such as floods, tsunami, showing where remote sensing technologies have been used This edited book is the first volume of the book series Advances in Remote Sensing for Earth Observation.
Author | : Wenzhong Shi |
Publisher | : Springer Nature |
Total Pages | : 941 |
Release | : 2021-04-06 |
Genre | : Social Science |
ISBN | : 9811589836 |
This open access book is the first to systematically introduce the principles of urban informatics and its application to every aspect of the city that involves its functioning, control, management, and future planning. It introduces new models and tools being developed to understand and implement these technologies that enable cities to function more efficiently – to become ‘smart’ and ‘sustainable’. The smart city has quickly emerged as computers have become ever smaller to the point where they can be embedded into the very fabric of the city, as well as being central to new ways in which the population can communicate and act. When cities are wired in this way, they have the potential to become sentient and responsive, generating massive streams of ‘big’ data in real time as well as providing immense opportunities for extracting new forms of urban data through crowdsourcing. This book offers a comprehensive review of the methods that form the core of urban informatics from various kinds of urban remote sensing to new approaches to machine learning and statistical modelling. It provides a detailed technical introduction to the wide array of tools information scientists need to develop the key urban analytics that are fundamental to learning about the smart city, and it outlines ways in which these tools can be used to inform design and policy so that cities can become more efficient with a greater concern for environment and equity.