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Iterative Retrieval Of Surface Emissivity And Temperature For A Hyperspectral Sensor
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Book Synopsis Iterative Retrieval of Surface Emissivity and Temperature for a Hyperspectral Sensor by :
Download or read book Iterative Retrieval of Surface Emissivity and Temperature for a Hyperspectral Sensor written by and published by . This book was released on 2006 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The central problem of temperature-emissivity separation is that we obtain N spectral measurements of radiance and need to find N + 1 unknowns (N emissivities and one temperature). To solve this problem in the presence of the atmosphere we need to find even more unknowns: N spectral transmissions [tau][sub atmo]([lambda]) up-welling path radiances L[sub path][up-arrow]([lambda]) and N down-welling path radiances L[sub path][down-arrow]([lambda]). Fortunately there are radiative transfer codes such as MODTRAN 3 and FASCODE available to get good estimates of [tau][sub atmo]([lambda]), L[sub path][up-arrow]([lambda]) and L[sub path][down-arrow]([lambda]) in the order of a few percent. With the growing use of hyperspectral imagers, e.g. AVIRIS in the visible and short-wave infrared there is hope of using such instruments in the mid-wave and thermal IR (TIR) some day. We believe that this will enable us to get around using the present temperature - emissivity separation (TES) algorithms using methods which take advantage of the many channels available in hyperspectral imagers. The first idea we had is to take advantage of the simple fact that a typical surface emissivity spectrum is rather smooth compared to spectral features introduced by the atmosphere. Thus iterative solution techniques can be devised which retrieve emissivity spectra [epsilon] based on spectral smoothness. To make the emissivities realistic, atmospheric parameters are varied using approximations, look-up tables derived from a radiative transfer code and spectral libraries. By varying the surface temperature over a small range a series of emissivity spectra are calculated. The one with the smoothest characteristic is chosen. The algorithm was tested on synthetic data using MODTRAN and the Salisbury emissivity database.
Book Synopsis Surface Emissivity and Temperature Retrieval for a Hyperspectral Sensor by :
Download or read book Surface Emissivity and Temperature Retrieval for a Hyperspectral Sensor written by and published by . This book was released on 1998 with total page 5 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the growing use of hyper-spectral imagers, e.g., AVIRIS in the visible and short-wave infrared there is hope of using such instruments in the mid-wave and thermal IR (TIR) some day. The author believes that this will enable him to get around using the present temperature-emissivity separation algorithms using methods which take advantage of the many channels available in hyper-spectral imagers. A simple fact used in coming up with a novel algorithm is that a typical surface emissivity spectrum are rather smooth compared to spectral features introduced by the atmosphere. Thus, a iterative solution technique can be devised which retrieves emissivity spectra based on spectral smoothness. To make the emissivities realistic, atmospheric parameters are varied using approximations, look-up tables derived from a radiative transfer code and spectral libraries. One such iterative algorithm solves the radiative transfer equation for the radiance at the sensor for the unknown emissivity and uses the blackbody temperature computed in an atmospheric window to get a guess for the unknown surface temperature. By varying the surface temperature over a small range a series of emissivity spectra are calculated. The one with the smoothest characteristic is chosen. The algorithm was tested on synthetic data using MODTRAN and the Salisbury emissivity database.
Book Synopsis Land Surface Temperature and Emissivity Retrieval from Thermal Infrared Hyperspectral Imagery by : Marvin Boonmee
Download or read book Land Surface Temperature and Emissivity Retrieval from Thermal Infrared Hyperspectral Imagery written by Marvin Boonmee and published by . This book was released on 2007 with total page 181 pages. Available in PDF, EPUB and Kindle. Book excerpt: "A new algorithm, optimized land surface temperature and emissivity retrieval (OLSTER), is presented to compensate for atmospheric effects and retrieve land surface temperature (LST) and emissivity from airborne thermal infrared hyperspectral data. The OLSTER algorithm is designed to retrieve properties of both natural and man-made materials. Multi-directional or multi-temporal observations are not required, and the scenes do not have to be dominated by blackbody features. The OLSTER algorithm consists of a preprocessing step, an iterative search for near-blackbody pixels, and an iterative constrained optimization loop. The preprocessing step provides initial estimates of LST per pixel and the atmospheric parameters of transmittance and upwelling radiance for the entire image. Pixels that are under- or over-compensated by the estimated atmospheric parameters are classified a near-blackbody and lower emissivity pixels, respectively. A constrained optimization of the atmospheric parameters using generalized reduced gradients on the near-blackbody pixels ensures physical results. The downwelling radiance is estimated from the upwelling radiance by applying a look-up table of coefficients based on a polynomial regression of radiative transfer model runs for the same sensor altitude. The LST and emissivity per pixel are retrieved simultaneously using the well established ISSTES algorithm. The OLSTER algorithm retrieves land surface temperatures within about ± 0.01 based on numerical simulation and validation work comparing results from sensor data with ground truth measurements. The OLSTER algorithm is currently one of only a few algorithms available that have been documented to retrieve accurate land surface temperatures and absolute land surface spectral emissivities from passive airborne hyperspectral LWIR sensor imagery"--Abstract.
Book Synopsis Quantitative Remote Sensing in Thermal Infrared by : Huajun Tang
Download or read book Quantitative Remote Sensing in Thermal Infrared written by Huajun Tang and published by Springer Science & Business Media. This book was released on 2013-12-25 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book The Earth Observer written by and published by . This book was released on 1997 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Retrieving Surface Temperature and Emissivity from High Spectral Resolution Radiance Observations by : Rongrong Xie
Download or read book Retrieving Surface Temperature and Emissivity from High Spectral Resolution Radiance Observations written by Rongrong Xie and published by . This book was released on 1993 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery by :
Download or read book Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery written by and published by . This book was released on 2001 with total page 622 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery by :
Download or read book Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery written by and published by . This book was released on 2007 with total page 804 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Simultaneous Land Surface Temperature and Spectral Emissivity Retrieval in the Infrared Split Window by : David A. Faysash
Download or read book Simultaneous Land Surface Temperature and Spectral Emissivity Retrieval in the Infrared Split Window written by David A. Faysash and published by . This book was released on 1998 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis LWIR Spectral Variability Integration and Improvements to an Earth Observing Statistical Performance Model by : Runchen Zhao
Download or read book LWIR Spectral Variability Integration and Improvements to an Earth Observing Statistical Performance Model written by Runchen Zhao and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Remote sensing systems can be used to identify objects without physical contact. In hyperspectral remote sensing systems, pixels from a 3D hypercube can be described as a one-dimensional spectra. This one-dimensional spectrum can contain information about surface reflectance and emissivity variation as a function of wavelength, and is often thought of as the materials spectral signature or fingerprint. This spectral signature can be used in applications such as spectral target detection. To study the spectral signatures variation and its impact on target detection, for example, a parameter trade-off study is often needed. In this research, a full-spectrum spectral imaging system analytical model, called the Forecasting and Analysis of Spectroradiometric System Performance (FASSP), has been used and improved upon. FASSP uses first- and second-order statistics of surface spectral reflectances or emissivities and temperature variations to describe a user-defined remote sensing scenario. The statistics are propagated through an imaging system-like model with the addition of atmosphere effects and sensor noise, for example. The system can then use this information in a target detection application where results are illustrated in the form of a Receiver Operating Characteristic (ROC) curve. The current FASSP model performs target detection in both the VNIR and LWIR. More specifically, in the LWIR the model relied on at-sensor radiance statistics. However, in most realistic cases, target detection in the LWIR is applied to retrieved emissivities where surface temperature is also a key obtained parameter. This retrieved domain was absent in the FASSP model. Therefore, to obtain retrieved surface temperatures and simulate more realistic LWIR scenarios, a statistical approach to temperature/emissivity separation (TES) called the statistical iterative spectrally smooth temperature- emissivity separation (S-ISSTES) algorithm has been derived and integrated into the FASSP model. The new S-ISSTES module can retrieve first- and second-order statistics of surface emissivities and ground temperatures. This work was derived and validated in a study that used HyTES LWIR data. Additionally, this research constructed and implemented an equivalent adaptive cosine estimator (ACE) detector called the cotangent detector (COT) into the FASSP model. This new detector was also tested and validated. Lastly, we constructed a study using the Hapke mixing model, based on user defined particle-related parameters coupled with Monte-Carlo simulations, to generate needed covariance matrices for mixed particle material detection studies using FASSP."--Abstract.
Book Synopsis Advanced Remote Sensing by : Shunlin Liang
Download or read book Advanced Remote Sensing written by Shunlin Liang and published by Academic Press. This book was released on 2019-11-23 with total page 1010 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advanced Remote Sensing: Terrestrial Information Extraction and Applications, Second Edition, is a thoroughly updated application-based reference that provides a single source on the 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 like RADAR and LIDAR. The book provides scientists in a number of different fields, including geography, geophysics, geology, atmospheric science, environmental science, planetary science and ecology with access to critically-important data extraction techniques and their virtually unlimited applications. While rigorous enough for the most experienced of scientists, the techniques presented are well designed and integrated, making the book’s content intuitive and practical in its implementation. Provides a comprehensive overview of many practical methods and algorithms Offers descriptions of the principles and procedures of the state-of-the-art in remote sensing Includes real-world case studies and end-of-chapter exercises Contains thoroughly revised chapters, newly developed applications and updated examples
Book Synopsis Recent Advances in Quantitative Remote Sensing by : José A. Sobrino
Download or read book Recent Advances in Quantitative Remote Sensing written by José A. Sobrino and published by Anaya -Spain. This book was released on 2002 with total page 1056 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Emissivity written by Aidan Millington and published by . This book was released on 2019-03-24 with total page 96 pages. Available in PDF, EPUB and Kindle. Book excerpt: Emissivity: Characteristics, Determination and Applications opens with an overview of a variety of remote sensing retrieval methods of land surface emissivity from space. The authors provide some theoretical background about land surface emissivity and recall various retrieval methods.During the atmospheric hypersonic re-entry of a space vehicle, the extremely high temperatures generated in the shock layer between the bow shock and the vehicle lead to very high temperatures at the wall, the values of which depend mainly on the total heat flux impinging the surface, and its emissivity. The higher the emissivity of the surface, the lower the temperature that is achieved. Thus, in order to perform reliable temperature predictions at the surface during space re-entry into the atmosphere, the authors suggest that proper knowledge of material surface emissivity is mandatory.In the penultimate chapter, the emissivity due to neutrino-pair production in e+e- annihilation in the context of the 331RHν model is calculated in a way that can be used in supernova models.Lastly, a photoacoustic cell is constructed to view two different surfaces through a pair of out of phase optical chopping wheels records the difference in radiation fluxes from the two surfaces. The point at which a lock-in amplifier records a null in the photoacoustic signal is where the radiation fluxes from the two surfaces are identical, permitting the relative emissivities of the two surfaces to be determined.
Download or read book IGARSS '98 written by and published by Institute of Electrical & Electronics Engineers(IEEE). This book was released on 1998 with total page 706 pages. Available in PDF, EPUB and Kindle. Book excerpt: The theme of the GRSS '98 emphasizes the role of remote sensing for managing limited natural resources. It covers topics such as: applications of remote sensing; electromagnetic problems; data processing techniques; geophysical models; and techniques and instrumentation.
Book Synopsis Fifth recent advances in quantitative remote sensing by : José Antonio Sobrino Rodríguez
Download or read book Fifth recent advances in quantitative remote sensing written by José Antonio Sobrino Rodríguez and published by Universitat de València. This book was released on 2018-12-14 with total page 481 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Remote Sensing Monitoring of Land Surface Temperature (LST) by : Juan Manuel Sánchez
Download or read book Remote Sensing Monitoring of Land Surface Temperature (LST) written by Juan Manuel Sánchez and published by Mdpi AG. This book was released on 2021-11-22 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of recent developments, methodologies, calibration and validation techniques, and applications of thermal remote sensing data and derived products from UAV-based, aerial, and satellite remote sensing. A set of 15 papers written by a total of 70 authors was selected for this book. The published papers cover a wide range of topics, which can be classified in five groups: algorithms, calibration and validation techniques, improvements in long-term consistency in satellite LST, downscaling of LST, and LST applications and land surface emissivity research.
Author :Michael Theodore Eismann Publisher :SPIE-International Society for Optical Engineering ISBN 13 :9780819487872 Total Pages :0 pages Book Rating :4.4/5 (878 download)
Book Synopsis Hyperspectral Remote Sensing by : Michael Theodore Eismann
Download or read book Hyperspectral Remote Sensing written by Michael Theodore Eismann and published by SPIE-International Society for Optical Engineering. This book was released on 2012 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hyperspectral remote sensing is an emerging, multidisciplinary field with diverse applications that builds on the principles of material spectroscopy, radiative transfer, imaging spectrometry, and hyperspectral data processing. While there are many resources that suitably cover these areas individually and focus on specific aspects of the hyperspectral remote sensing field, this book provides a holistic treatment that captures its multidisciplinary nature. The content is oriented toward the physical principles of hyperspectral remote sensing as opposed to applications of hyperspectral technology. Readers can expect to finish the book armed with the required knowledge to understand the immense literature available in this technology area and apply their knowledge to the understanding of material spectral properties, the design of hyperspectral systems, the analysis of hyperspectral imagery, and the application of the technology to specific problems.
