Recent Advances in Quantitative Remote Sensing

Recent Advances in Quantitative Remote Sensing PDF Author: José A. Sobrino
Publisher: Universitat de València
ISBN: 9788437055152
Category : Science
Languages : en
Pages : 1046

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Book Description

Recent Advances in Quantitative Remote Sensing

Recent Advances in Quantitative Remote Sensing PDF Author: José A. Sobrino
Publisher: Universitat de València
ISBN: 9788437055152
Category : Science
Languages : en
Pages : 1046

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Book Description


Recent Advances in Quantitative Remote Sensing

Recent Advances in Quantitative Remote Sensing PDF Author: José A. Sobrino
Publisher: Anaya -Spain
ISBN: 9788437055152
Category : Science
Languages : en
Pages : 1056

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Book Description


Fifth recent advances in quantitative remote sensing

Fifth recent advances in quantitative remote sensing PDF Author: José Antonio Sobrino Rodríguez
Publisher: Universitat de València
ISBN: 8491332014
Category : Science
Languages : en
Pages : 481

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Book Description
The Fifth International Symposium on Recent Advances in Quantitative Remote Sensing was held in Torrent, Spain from 18 to 22 September 2018. It was sponsored and organized by the Global Change Unit (GCU) from the Image Processing Laboratory (IPL), University of Valencia (UVEG), Spain. This Symposium addressed the scientific advances in quantitative remote sensing in connection with real applications. Its main goal was to assess the state of the art of both theory and applications in the analysis of remote sensing data, as well as to provide a forum for researcher in this subject area to exchange views and report their latest results. In this book 89 of the 262 contributions presented in both plenary and poster sessions are arranged according to the scientific topics selected. The papers are ranked in the same order as the final programme.

Quantitative Remote Sensing of Land Surfaces

Quantitative Remote Sensing of Land Surfaces PDF Author: Shunlin Liang
Publisher: John Wiley & Sons
ISBN: 0471723711
Category : Technology & Engineering
Languages : en
Pages : 562

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Book 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

Recent Advances in Remote Sensing for Crop Growth Monitoring

Recent Advances in Remote Sensing for Crop Growth Monitoring PDF Author: Tao Cheng
Publisher: MDPI
ISBN: 3038422266
Category : Technology & Engineering
Languages : en
Pages : 1

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Book Description
This book is a printed edition of the Special Issue "Recent Advances in Remote Sensing for Crop Growth Monitoring" that was published in Remote Sensing

Quantitative Remote Sensing in Thermal Infrared

Quantitative Remote Sensing in Thermal Infrared PDF Author: Huajun Tang
Publisher: Springer Science & Business Media
ISBN: 3642420273
Category : Technology & Engineering
Languages : en
Pages : 298

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Book Description
This book provides a comprehensive and advanced overview of the basic theory of thermal remote sensing and its application in hydrology, agriculture, and forestry. Specifically, the book highlights the main theory, assumptions, advantages, drawbacks, and perspectives of these methods for the retrieval and validation of surface temperature/emissivity and evapotranspiration from thermal infrared remote sensing. It will be an especially valuable resource for students, researchers, experts, and decision-makers whose interest focuses on the retrieval and validation of surface temperature/emissivity, the estimation and validation of evapotranspiration at satellite pixel scale, and the application of thermal remote sensing. Both Prof. Huajun Tang and Prof. Zhao-Liang Li work at the Chinese Academy of Agricultural Sciences (CAAS), China.

Advances in Land Remote Sensing

Advances in Land Remote Sensing PDF Author: Shunlin Liang
Publisher: Springer Science & Business Media
ISBN: 1402064500
Category : Technology & Engineering
Languages : en
Pages : 499

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Book Description
It collects the review papers of the 9th International Symposium on Physical Measurements and Signatures in Remote Sensing (ISPMSRS). It systematically summarizes the past achievements and identifies the frontier issues as the research agenda for the near future. It covers all aspects of land remote sensing, from sensor systems, physical modeling, inversion algorithms, to various applications.

Advanced Remote Sensing

Advanced Remote Sensing PDF Author: Shunlin Liang
Publisher: Academic Press
ISBN: 0123859557
Category : Science
Languages : en
Pages : 821

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Book 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

High Spatial Resolution Remote Sensing

High Spatial Resolution Remote Sensing PDF Author: Yuhong He
Publisher: CRC Press
ISBN: 0429892993
Category : Technology & Engineering
Languages : en
Pages : 392

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Book Description
High spatial resolution remote sensing is an area of considerable current interest and builds on developments in object-based image analysis, commercial high-resolution satellite sensors, and UAVs. It captures more details through high and very high resolution images (10 to 100 cm/pixel). This unprecedented level of detail offers the potential extraction of a range of multi-resource management information, such as precision farming, invasive and endangered vegetative species delineation, forest gap sizes and distribution, locations of highly valued habitats, or sub-canopy topographic information. Information extracted in high spatial remote sensing data right after a devastating earthquake can help assess the damage to roads and buildings and aid in emergency planning for contact and evacuation. To effectively utilize information contained in high spatial resolution imagery, High Spatial Resolution Remote Sensing: Data, Analysis, and Applications addresses some key questions: What are the challenges of using new sensors and new platforms? What are the cutting-edge methods for fine-level information extraction from high spatial resolution images? How can high spatial resolution data improve the quantification and characterization of physical-environmental or human patterns and processes? The answers are built in three separate parts: (1) data acquisition and preprocessing, (2) algorithms and techniques, and (3) case studies and applications. They discuss the opportunities and challenges of using new sensors and platforms and high spatial resolution remote sensing data and recent developments with a focus on UAVs. This work addresses the issues related to high spatial image processing and introduces cutting-edge methods, summarizes state-of-the-art high spatial resolution applications, and demonstrates how high spatial resolution remote sensing can support the extraction of detailed information needed in different systems. Using various high spatial resolution data, the third part of this book covers a range of unique applications, from grasslands to wetlands, karst areas, and cherry orchard trees.

Remote Sensing Digital Image Analysis

Remote Sensing Digital Image Analysis PDF Author: John A. Richards
Publisher: Springer Science & Business Media
ISBN: 3642880878
Category : Science
Languages : en
Pages : 372

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Book Description
Possibly the greatest change confronting the practitioner and student of remote sensing in the period since the first edition of this text appeared in 1986 has been the enormous improvement in accessibility to image processing technology. Falling hardware and software costs, combined with an increase in functionality through the development of extremely versatile user interfaces, has meant that even the user unskilled in computing now has immediate and ready access to powerful and flexible means for digital image analysis and enhancement. An understanding, at algorithmic level, of the various methods for image processing has become therefore even more important in the past few years to ensure the full capability of digital image processing is utilised. This period has also been a busy one in relation to digital data supply. Several nations have become satellite data gatherers and providers, using both optical and microwave technology. Practitioners and researchers are now faced, therefore, with the need to be able to process imagery from several sensors, together with other forms of spatial data. This has been driven, to an extent, by developments in Geographic Information Systems (GIS) which, in tum, have led to the appearance of newer image processing procedures as adjuncts to more traditional approaches.