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Comparison of fire temperature retrieved from SWIR and TIR hyperspectral data

Alessandro Barducci, Donatella Guzzi, Paolo Marcoionni, Ivan Pippi
2004 Infrared physics & technology  
This paper addresses the problem of active-fire temperature retrieval from hyperspectral remotely sensed data.  ...  Performance of the new algorithm is compared with that of the "Grey-Body-Emissivity method", which computes the pixel temperature from thermal infrared spectral radiance data.  ...  We compared the obtained temperatures with those retrieved from the Grey-Body Emissivity algorithm, which utilizes data from TIR range.  ... 
doi:10.1016/j.infrared.2004.03.001 fatcat:wkzlzwlb4batlo6wcyqqurcfue

Retrieving Land Surface Temperature from Satellite Imagery with a Novel Combined Strategy

Sánchez-Aparicio, Andrés-Anaya, Del Pozo, Lagüela
2020 Remote Sensing  
For example, Landsat 8 incorporates Operational Land Imager(OLI) and Thermal InfraRed Sensor(TIRS)sensors the images from which, in combination with data from other satellite platforms (such as Terra and  ...  Different methodologies have been developed for the computation of LST from satellite images, such as single-channel and split-window methodologies.  ...  Acknowledgments: We also express our gratitude to the Ministry of Science, Innovation, and Universities for the funding given for the project RTC-2017-6291-3.  ... 
doi:10.3390/rs12020277 fatcat:4n6xcshf2fchrkvs6c7zvvjtba

Land surface emissivity retrieval from satellite data

Zhao-Liang Li, Hua Wu, Ning Wang, Shi Qiu, José A. Sobrino, Zhengming Wan, Bo-Hui Tang, Guangjian Yan
2013 International Journal of Remote Sensing  
However, the emissivity retrieved from remotely sensed TIR data represents only the narrowband-directional emissivity.  ...  Without validation, any methods, models, algorithms, and parameters derived from remotely sensed data cannot be confidently used.  ... 
doi:10.1080/01431161.2012.716540 fatcat:wkb3ywmjrfb7td5iprjknxhg7m

An Automatic Instrument to Study the Spatial Scaling Behavior of Emissivity

Jing Tian, Renhua Zhang, Hongbo Su, Xiaomin Sun, Shaohui Chen, Jun Xia
2008 Sensors  
The impact of the variation of target temperature and the environmental irradiance on the measurement of emissivity is analyzed as well.  ...  One is that it helps to investigate the spatial scaling behavior of emissivity and temperature; the other is that, the design of the instrument provides theoretical and practical foundations for the implement  ...  GXIOG-A05-11) and Key Project of NSFC (grant no. 40471099), the Program of "One Hundred Talented People" of the Chinese Academy of Sciences (CAS) and the State Key Development Program for Basic Research  ... 
doi:10.3390/s8020800 pmid:27879735 pmcid:PMC3927495 fatcat:czsucgz22reofc4g7nj3gld2uq

Noise-Sensitivity Analysis and Improvement of Automatic Retrieval of Temperature and Emissivity Using Spectral Smoothness

Honglan Shao, Chengyu Liu, Feng Xie, Chunlai Li, Jianyu Wang
2020 Remote Sensing  
There are numerous algorithms that can be used to retrieve land surface temperature (LST) and land surface emissivity (LSE) from hyperspectral thermal infrared (HTIR) data.  ...  In this study, we selected the automatic retrieval of temperature and emissivity using spectral smoothness (ARTEMISS) algorithm—the representative of the iterative spectral smoothness temperature-emissivity  ...  Acknowledgments: The authors would like to sincerely thank Jet Propulsion Laboratory for the ASTER emissivity library.  ... 
doi:10.3390/rs12142295 fatcat:bsibkd7cpncdvlluyxebhp43m4

Bayesian estimation for land surface temperature retrieval: the nuisance of emissivities

J.A. Morgan
2005 IEEE Transactions on Geoscience and Remote Sensing  
An approach to the remote sensing of land surface temperature is developed using the methods of Bayesian inference.  ...  In order to convert this quantity to an estimator for surface temperature and emissivity with Bayes' theorem, it is necessary to obtain the joint prior probability for surface temperature and emissivity  ...  Introduction T HIS paper derives the joint prior probability for surface temperature and emissivity for the land surface temperature retrieval problem in remote sensing.  ... 
doi:10.1109/tgrs.2005.845637 fatcat:adk4oydvp5ajjkritavcy7wgny

Land Surface Temperature Retrieval from Landsat 5, 7, and 8 over Rural Areas: Assessment of Different Retrieval Algorithms and Emissivity Models and Toolbox Implementation

Aliihsan Sekertekin, Stefania Bonafoni
2020 Remote Sensing  
Many LST retrieval algorithms based on remotely sensed images have been introduced so far, where the Land Surface Emissivity (LSE) is one of the main factors affecting the accuracy of the LST estimation  ...  The aim of this study is to evaluate the performance of LST retrieval methods using different LSE models and data of old and current Landsat missions.  ...  Category Surface Emissivity Determination Methods References Platform Multi-channel TES methods The two-temperature method (TTM) [88] TIMS [89] MSG/SEVIRI [90] MSG/SEVIRI Grey-body emissivity  ... 
doi:10.3390/rs12020294 fatcat:5sd7xatm6nh4lj3cvafpgwpf3y

An Efficient Approach for Pixel Decomposition to Increase the Spatial Resolution of Land Surface Temperature Images from MODIS Thermal Infrared Band Data

Fei Wang, Zhihao Qin, Wenjuan Li, Caiying Song, Arnon Karnieli, Shuhe Zhao
2014 Sensors  
Land surface temperature (LST) images retrieved from the thermal infrared (TIR) band data of Moderate Resolution Imaging Spectroradiometer (MODIS) have much lower spatial resolution than the MODIS visible  ...  The ASTER LST image was used as the reference to compare with the decomposed LST image.  ...  We sincerely thank these two sites for providing remote sensing image data of MODIS [46] and ASTER [47] for free download.  ... 
doi:10.3390/s150100304 pmid:25609048 pmcid:PMC4327020 fatcat:to2jxbslg5a7legorgi45rhf74

Temperature and Emissivity Inversion Accuracy of Spectral Parameter Changes and Noise of Hyperspectral Thermal Infrared Imaging Spectrometers

Honglan Shao, Chengyu Liu, Chunlai Li, Jianyu Wang, Feng Xie
2020 Sensors  
The emergence of hyperspectral thermal infrared imaging spectrometers makes it possible to retrieve both the land surface temperature (LST) and the land surface emissivity (LSE) simultaneously.  ...  atmospheric conditions with 6 object temperatures, inverted them by two temperature and emissivity separation methods (ISSTES and ARTEMISS), and analyzed quantitatively the effects of the spectral parameters  ...  Acknowledgments: The authors would like to sincerely thank Jet Propulsion Laboratory for the ASTER emissivity library.  ... 
doi:10.3390/s20072109 pmid:32276510 pmcid:PMC7180890 fatcat:a5d6cqbnvrdrdmrc7aqked5giy

Multimodal Representation Learning and Set Attention for LWIR In-Scene Atmospheric Compensation

Nicholas Westing, Kevin C. Gross, Brett J. Borghetti, Christine M. Schubert Kabban, Jacob Martin, Joseph Meola
2020 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
A permutation-invariant network predicts the generative model low-dimensional components from in-scene data, allowing for simultaneous estimates of the atmospheric state and TUD vector.  ...  The generative model can produce realistic atmospheric state vectors (T, H 2 O, O 3 ) and their corresponding transmittance, upwelling radiance, and downwelling radiance (TUD) vectors by sampling a low-dimensional  ...  ACKNOWLEDGMENT The views and conclusions contained in this article are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the United  ... 
doi:10.1109/jstars.2020.3034421 fatcat:e35z7uc62zd6ng53asaf37nuke

Modeling Mean Radiant Temperature Distribution in Urban Landscapes Using DART

Maria Angela Dissegna, Tiangang Yin, Hao Wu, Nicolas Lauret, Shanshan Wei, Jean-Philippe Gastellu-Etchegorry, Adrienne Grêt-Regamey
2021 Remote Sensing  
and of vegetation, (3) precise representation of the vegetation component, and (4) capability to assimilate 3-D inputs derived from multisource remote sensing data.  ...  The use of a 3-D radiative transfer model shows promising capability to study urban microclimate and outdoor thermal comfort with increasing landscape details, and to build linkage to remote sensing data  ...  ., green vegetation in the near infrared domain), and also to simulate the grey body (emissivity less than one) in long wave domain.  ... 
doi:10.3390/rs13081443 fatcat:zv4chtshmvbidjujlayocv4gsq

Simulated Annealing Approach to the Temperature-Emissivity Separation Problem in Thermal Remote Sensing Part One: Mathematical Background [article]

John A. Morgan
2016 arXiv   pre-print
The method of simulated annealing is adapted to the temperature-emissivity separation (TES) problem.  ...  originates from a patch with stipulated T and ϵ(k).  ...  INTRODUCTION T H e temperature-emissivity separation (TES) problem bedevils any attempt to extract spectral information from remote sensing in the thermal infrared.  ... 
arXiv:1602.05497v1 fatcat:kkcbgceygndwjiomumrvhghcli

Fast and Effective Techniques for LWIR Radiative Transfer Modeling: A Dimension-Reduction Approach

Nicholas Westing, Brett Borghetti, Kevin C. Gross
2019 Remote Sensing  
The derived RT model shows an overall RMSE of less than 1 K across reflective to emissive grey-body emissivity profiles.  ...  The increasing spatial and spectral resolution of hyperspectral imagers yields detailed spectroscopy measurements from both space-based and airborne platforms.  ...  Acknowledgments: The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the United  ... 
doi:10.3390/rs11161866 fatcat:qhebjsfot5gmnmcllmo2b2pvgi

The thermal near-field: Coherence, spectroscopy, heat-transfer, and optical forces

Andrew C. Jones, Brian T. O'Callahan, Honghua U. Yang, Markus B. Raschke
2013 Progress in Surface Science  
One of the most universal physical processes shared by all matter at finite temperature is the emission of thermal radiation.  ...  and the use of thermal infrared near-field spectroscopy (TINS) for broadband chemical nano-spectroscopic imaging, where the thermally driven vibrational optical dipoles provide their own intrinsic light  ...  We are indebted to Kevin Kjoller and the team from Anasys Instruments for continuous support. Funding was provided by in part by DoE:STTR Grant (DE-FG02-08ER86338).  ... 
doi:10.1016/j.progsurf.2013.07.001 fatcat:ilezpsppjvasro3k2pulns4zby

Wind Farm Wake: The 2016 Horns Rev Photo Case

Charlotte Hasager, Nicolai Nygaard, Patrick Volker, Ioanna Karagali, Søren Andersen, Jake Badger
2017 Energies  
The paper examines the atmospheric conditions from satellite images, radiosondes, lidar and wind turbine data and compares the observations to results from atmospheric meso-scale modelling and large eddy  ...  Key findings are that a humid and warm air mass was advected from the southwest over cold sea and the dew-point temperature was such that cold-water advection fog formed in a shallow layer.  ...  Acknowledgments: We warmly acknowledge all data used. The photographs are from Bel Air Aviation Helicopter Service. SCADA data and meteorological observations are from DONG Energy.  ... 
doi:10.3390/en10030317 fatcat:5pjlrwlt3bbexa5pwnn3gnywpu
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