Comprehensive Remote Sensing Download Ebook PDF Epub Online

Author :
Publisher : Elsevier
Release : 2017-11-08
Page : 3134
Category : Science
ISBN 13 : 0128032219
Description :


Comprehensive Remote Sensing covers all aspects of the topic, with each volume edited by well-known scientists and contributed to by frontier researchers. It is a comprehensive resource that will benefit both students and researchers who want to further their understanding in this discipline. The field of remote sensing has quadrupled in size in the past two decades, and increasingly draws in individuals working in a diverse set of disciplines ranging from geographers, oceanographers, and meteorologists, to physicists and computer scientists. Researchers from a variety of backgrounds are now accessing remote sensing data, creating an urgent need for a one-stop reference work that can comprehensively document the development of remote sensing, from the basic principles, modeling and practical algorithms, to various applications. Fully comprehensive coverage of this rapidly growing discipline, giving readers a detailed overview of all aspects of Remote Sensing principles and applications Contains ‘Layered content’, with each article beginning with the basics and then moving on to more complex concepts Ideal for advanced undergraduates and academic researchers Includes case studies that illustrate the practical application of remote sensing principles, further enhancing understanding


Author : Shunlin Liang
Mitchell D. Goldberg
Publisher :
Release : 2018
Page :
Category : Remote sensing
ISBN 13 : 9780128140918
Description :



Author : Shunlin Liang
Melba M. Crawford
Publisher :
Release : 2018
Page :
Category : Remote sensing
ISBN 13 : 9780128140963
Description :



Author : Shunlin Liang
Xiaoxiong Xiong
Publisher :
Release : 2018
Page :
Category : Remote sensing
ISBN 13 : 9780128140970
Description :



Author : Shunlin Liang
Tatiana V. Loboda
Publisher :
Release : 2018
Page :
Category : Remote sensing
ISBN 13 : 9780128140925
Description :



Author : Shunlin Liang
Stephen J. Walsh
Publisher :
Release : 2018
Page :
Category : Remote sensing
ISBN 13 : 9780128140895
Description :



Author : Shunlin Liang
Jing M. Chen
Publisher :
Release : 2018
Page :
Category : Remote sensing
ISBN 13 : 9780128140956
Description :



Author : Shunlin Liang
Quanan Zheng
Publisher :
Release : 2018
Page :
Category : Remote sensing
ISBN 13 : 9780128140901
Description :



Author : Shunlin Liang
Xiaoxiong Xiong
Publisher :
Release : 2018
Page :
Category : Remote sensing
ISBN 13 : 9780128140932
Description :



Author : Shunlin Liang
Jiancheng Shi
Publisher :
Release : 2018
Page :
Category : Remote sensing
ISBN 13 : 9780128140949
Description :



Author : Shunlin Liang
Xiaowen Li
Publisher : Academic Press
Release : 2012-12-06
Page : 800
Category : Science
ISBN 13 : 0123859557
Description :


Advanced Remote Sensing is an application-based reference that provides a single source of mathematical concepts necessary for remote sensing data gathering and assimilation. It presents state-of-the-art techniques for estimating land surface variables from a variety of data types, including optical sensors such as RADAR and LIDAR. Scientists in a number of different fields including geography, geology, atmospheric science, environmental science, planetary science and ecology will have access to critically-important data extraction techniques and their virtually unlimited applications. While rigorous enough for the most experienced of scientists, the techniques are well designed and integrated, making the book’s content intuitive, clearly presented, and practical in its implementation. Comprehensive overview of various practical methods and algorithms Detailed description of the principles and procedures of the state-of-the-art algorithms Real-world case studies open several chapters More than 500 full-color figures and tables Edited by top remote sensing experts with contributions from authors across the geosciences


Author : Simsek Pala
Publisher :
Release : 1980
Page : 10
Category : Remote sensing
ISBN 13 :
Description :



Author :
Publisher :
Release : 1980
Page : 50
Category :
ISBN 13 :
Description :



Author : Ontario. Ministry of Natural Resources
Publisher :
Release : 1980
Page : 10
Category : Remote sensing
ISBN 13 :
Description :



Author : Liqun Sun
孙立群
Publisher : Open Dissertation Press
Release : 2017-01-27
Page :
Category :
ISBN 13 : 9781361367117
Description :


This dissertation, "A Comprehensive Analysis of Terrestrial Surface Features Using Remote Sensing Data" by Liqun, Sun, 孙立群, was obtained from The University of Hong Kong (Pokfulam, Hong Kong) and is being sold pursuant to Creative Commons: Attribution 3.0 Hong Kong License. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation. All rights not granted by the above license are retained by the author. Abstract: Using the remote sensing data, this study aims to enhance our understanding of land surface features, including ecosystem distribution in association with topographic controls and climatic controls, vegetation disturbance due to natural hazards, and surface temperature changes with consideration of the influence of urbanization. In this study, the Global Inventory Monitoring and Modeling System (GIMMS) Normalized Difference Vegetation Index (NDVI) data sets from 1982 to 2006 were used to explore vegetation variation. A data mining method, Exhaustive Chi-squared Automatic Interaction Detector algorithm, was successfully applied to investigate the topographic influences on vegetation distribution in China. The study revealed that elevation is a predominant factor for controlling vegetation distribution among different topographic attributes (slope, aspect, Compound Topographic Index (CTI) and distance to the nearest river). Further, the study results indicated that solar radiation is the limited factor for plant growth in majority of the Northern Hemisphere in summer, and temperature is the main limitation for other seasons. Partial correlation coefficient (PCC) method was adopted to investigate the complex relationships of NDVI with weather variables (i.e., temperature, precipitation and solar radiation) and key climate indices (such as, El Nino-Southern Oscillation (ENSO), Indian Ocean Dipole (IOD), Arctic Oscillation (AO), and Antarctic Oscillation (AAO)). The study indicated that AO is the most significant index in affecting the temperatures in spring and winter in the Northern Hemisphere. This study enhanced the understanding of vegetation responds to asymmetric daytime (Tmax) and nighttime (Tmin) warming in different seasons. The result revealed that asymmetric warming of Tmax and Tmin may influence vegetation photosynthesis and respiration in the plant growth in different periods across biomes. In spring and autumn, vegetation in boreal and wet temperate regions of the Northern Hemisphere is positively correlated with Tmax and negatively correlated with Tmin, whereas, in dry regions the NDVI is always negatively correlated with Tmax and positively correlated with Tmin. In summer, the NDVI is negatively correlated with Tmax in many dry regions. In addition, this study developed a new index, Continued Vegetation Decrease Index (CVDI), to detect vegetation disturbance due to extreme natural hazards (such as, earthquake, wildfire, ice storms and so on). Using the Wenchuan earthquake occurred in Sichuan China on 12 May 2008 as an example, this study confirmed that the CVDI method can effectively identify the regions with severe vegetation damage, and it is expected that the newly-developed index can be used for detecting vegetation disturbance in other regions of the world. Finally, using the remote sensing data (land use data and surface temperature data) and weather station data, this study developed a new method to evaluate the urbanization influence on the temperature recorded at weather stations. The results revealed that the weather stations with most fast increase temperature are not in developed countries, but in developing countries. The results also imply that the global warming trend may be overestimated due to the under-estimation of urbanization influence on temperature increase. DOI: 10.5353/th_b5351026 Subjects: Remote sensing


Author : Ontario Centre for Remote Sensing
S. Pala
Publisher :
Release : 1980
Page :
Category :
ISBN 13 :
Description :



Author : W. Gareth Rees
Publisher : CRC Press
Release : 2005-08-12
Page : 312
Category : Technology & Engineering
ISBN 13 : 9781420023749
Description :


Many advances in spaceborne instrumentation, remote sensing, and data analysis have occurred in recent years, but until now there has been no book that reflects these advances while delivering a uniform treatment of the remote sensing of frozen regions. Remote Sensing of Snow and Ice identifies unifying themes and ideas in these fields and presents them in a single volume. This book provides a comprehensive introduction to the remote sensing of the Earth’s cryosphere. Explaining why cryospheric observations are important and why remote sensing observations are essential, it offers thorough surveys of the physical properties of ice and snow, and of current and emerging remote sensing techniques. Presenting a technical review of how the properties of snow and ice relate to remote sensing observations, the book focuses on principles by which useful geophysical information becomes encoded into the electromagnetic radiation detected during the remote sensing process. The author then discusses in detail the application of remote sensing methods to snow, freshwater ice, glaciers, and icebergs. The book concludes with a summary that examines what remote sensing has revealed about the cryosphere, where major technical problems still exist, and how these problems can be addressed.


Author : 孙立群
University of Hong Kong
Publisher :
Release : 2014
Page : 214
Category : Remote sensing
ISBN 13 :
Description :



Author : Guo Huadong
Publisher : CRC Press
Release : 2018-04
Page : 259
Category :
ISBN 13 : 9781138112179
Description :


In May 12, 2008, the Wenchuan County earthquake caused devastating loss of human life and property. Applying all the remote sensing technology available, the Chinese Academy of Sciences immediately launched into action, making full use of its state-of-the-art facilities, remote sensing planes, and satellites to amass invaluable optical and radar data. This unprecedented use of comprehensive remote sensing techniques provided accurate, up to the minute information for disaster management and has left us with a visually stunning and beautiful record that is as much a scientific achievement as it is an artistic one. Based on the accumulated data and images collected by the Project Team of Remote Sensing Monitoring and Assessment of the Wenchuan Earthquake, Atlas of Remote Sensing of the Wenchuan Earthquake documents the events as they happened in real time. The book covers the disaster from six aspects: geological, barrier lakes, collapsed buildings, damaged roads, destroyed farmland and forests, and demolished infrastructure. It also demonstrates that the Dujiangyan Irrigation Project, which has been standing for 2000 years, remains fully functioning, and keeps the Chengdu Plain operating optimally even after the earthquake. Translated into English for the first time, the Atlas presents a pictorial summation of this unique project. It chronicles the event with over 280 before and after color images from a range of perspectives. This volume dramatically demonstrates the value of remote sensing for understanding how an earthquake unfolds and the potential of remote sensing in helping coordinate emergency relief. A pictorial record of events as they unfolded, this book provides a systematic documentation of earthquake damage that can be used to prepare for future seismic events.


Author : Shunlin Liang
Publisher : John Wiley & Sons
Release : 2005-03-11
Page : 560
Category : Technology & Engineering
ISBN 13 : 0471723711
Description :


Processing the vast amounts of data on the Earth's land surface environment generated by NASA's and other international satellite programs is a significant challenge. Filling a gap between the theoretical, physically-based modelling and specific applications, this in-depth study presents practical quantitative algorithms for estimating various land surface variables from remotely sensed observations. A concise review of the basic principles of optical remote sensing as well as practical algorithms for estimating land surface variables quantitatively from remotely sensed observations. Emphasizes both the basic principles of optical remote sensing and practical algorithms for estimating land surface variables quantitatively from remotely sensed observations Presents the current physical understanding of remote sensing as a system with a focus on radiative transfer modelling of the atmosphere, canopy, soil and snow Gathers the state of the art quantitative algorithms for sensor calibration, atmospheric and topographic correction, estimation of a variety of biophysical and geoph ysical variables, and four-dimensional data assimilation