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Journal articles on the topic 'Sesimic source parameter retrieval'

Author: Grafiati

Published: 10 March 2023

Last updated: 31 July 2025

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1

Meiser, Thorsten. "Analyzing Stochastic Dependence of Cognitive Processes in Multidimensional Source Recognition." Experimental Psychology 61, no. 5 (2014): 402–15. http://dx.doi.org/10.1027/1618-3169/a000261.

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Stochastic dependence among cognitive processes can be modeled in different ways, and the family of multinomial processing tree models provides a flexible framework for analyzing stochastic dependence among discrete cognitive states. This article presents a multinomial model of multidimensional source recognition that specifies stochastic dependence by a parameter for the joint retrieval of multiple source attributes together with parameters for stochastically independent retrieval. The new model is equivalent to a previous multinomial model of multidimensional source memory for a subset of th

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Jin, Sheng, Xiaojian Ding, Su Wang, Yao Dong, and Jianghui Ji. "Nii: a Bayesian orbit retrieval code applied to differential astrometry." Monthly Notices of the Royal Astronomical Society 509, no. 3 (2021): 4608–19. http://dx.doi.org/10.1093/mnras/stab3317.

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ABSTRACT Here, we present an open source python-based Bayesian orbit retrieval code (Nii) that implements an automatic parallel tempering Markov chain Monte Carlo (APT-MCMC) strategy. Nii provides a module to simulate the observations of a space-based astrometry mission in the search for exoplanets, a signal extraction process for differential astrometric measurements using multiple reference stars, and an orbital parameter retrieval framework using APT-MCMC. We further verify the orbit retrieval ability of the code through two examples corresponding to a single-planet system and a dual-planet

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Allen, Douglas R., Karl W. Hoppel, Gerald E. Nedoluha, Stephen D. Eckermann, and Cory A. Barton. "Ensemble-Based Gravity Wave Parameter Retrieval for Numerical Weather Prediction." Journal of the Atmospheric Sciences 79, no. 3 (2022): 621–48. http://dx.doi.org/10.1175/jas-d-21-0191.1.

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Abstract Gravity wave (GW) momentum and energy deposition are large components of the momentum and heat budgets of the stratosphere and mesosphere, affecting predictability across scales. Since weather and climate models cannot resolve the entire GW spectrum, GW parameterizations are required. Tuning these parameterizations is time-consuming and must be repeated whenever model configurations are changed. We introduce a self-tuning approach, called GW parameter retrieval (GWPR), applied when the model is coupled to a data assimilation (DA) system. A key component of GWPR is a linearized model o

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Zhang, Luo, Haoran Gu, Zhengqiang Li, et al. "A Sequence-to-Sequence Transformer Model for Satellite Retrieval of Aerosol Optical and Microphysical Parameters from Space." Remote Sensing 16, no. 24 (2024): 4659. https://doi.org/10.3390/rs16244659.

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Aerosol optical and microphysical properties determine their radiative capabilities, climatic impacts, and health effects. Satellite remote sensing is a crucial tool for obtaining aerosol parameters on a global scale. However, traditional physical and statistical retrieval methods face bottlenecks in data mining capacity as the volume of satellite observation information increases rapidly. Artificial intelligence methods are increasingly applied to aerosol parameter retrieval, yet most current approaches focus on end-to-end single-parameter retrieval without considering the inherent relationsh

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Zhang, Yun, Xu Chen, Wanting Meng, et al. "Wind Direction Retrieval Using Support Vector Machine from CYGNSS Sea Surface Data." Remote Sensing 13, no. 21 (2021): 4451. http://dx.doi.org/10.3390/rs13214451.

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In view of the difficulty of wind direction retrieval in the case of the large space and time span of the global sea surface, a method of sea surface wind direction retrieval using a support vector machine (SVM) is proposed. This paper uses the space-borne global navigation satellite systems reflected signal (GNSS-R) as the remote sensing signal source. Using the Cyclone Global Navigation Satellite System (CYGNSS) satellite data, this paper selects a variety of feature parameters according to the correlation between the features of the sea surface reflection signal and the wind direction, incl

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Zhao, Zhonghe, Yuyang Li, Kun Liu, et al. "Layered Soil Moisture Retrieval and Agricultural Application Based on Multi-Source Remote Sensing and Vegetation Suppression Technology: A Case Study of Youyi Farm, China." Remote Sensing 17, no. 13 (2025): 2130. https://doi.org/10.3390/rs17132130.

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Soil moisture dynamics are a key parameter in regulating agricultural productivity and ecosystem functioning. The accurate monitoring and quantitative retrieval of soil moisture play a crucial role in optimizing agricultural water resource management. In recent years, the development of multi-source remote sensing technologies—such as high spatiotemporal resolution optical, radar, and thermal infrared sensors—has opened new avenues for efficient soil moisture retrieval. However, the accuracy of soil moisture retrieval decreases significantly when the soil is covered by vegetation. This study p

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Soni, Vikas, and Kinsuk Acharyya. "Signature of Vertical Mixing in Hydrogen-dominated Exoplanet Atmospheres." Astrophysical Journal 977, no. 1 (2024): 52. https://doi.org/10.3847/1538-4357/ad891f.

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Abstract Vertical mixing is a crucial disequilibrium process in exoplanet atmospheres, significantly impacting chemical abundance and observed spectra. While current state-of-the-art observations have detected its signatures, the effect of vertical mixing on atmospheric spectra varies widely based on planetary parameters. In this study, we explore the influence of disequilibrium chemistry across a parameter space that includes eddy diffusion, surface gravity, internal and equilibrium temperature, and metallicity. We also assess the effectiveness of retrieval models in constraining the eddy dif

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Bressler, I., B. R. Pauw, and A. F. Thünemann. "McSAS: software for the retrieval of model parameter distributions from scattering patterns." Journal of Applied Crystallography 48, no. 3 (2015): 962–69. http://dx.doi.org/10.1107/s1600576715007347.

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A user-friendly open-source Monte Carlo regression package (McSAS) is presented, which structures the analysis of small-angle scattering (SAS) using uncorrelated shape-similar particles (or scattering contributions). The underdetermined problem is solvable, provided that sufficient external information is available. Based on this, the user picks a scatterer contribution model (or `shape') from a comprehensive library and defines variation intervals of its model parameters. A multitude of scattering contribution models are included, including prolate and oblate nanoparticles, core–shell objects

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9

Khaliq, Ayesha, Sikander Bakht Abbasi, Arslan Ilyas, Saim Masood Shaikh, and Syed Ashar Ali. "Optimizing Academic Queries With Retrieval-Augmented Large Language Models." Migration Letters 21, S10 (2024): 1274–83. https://doi.org/10.59670/ml.v21is10.11858.

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This research investigates the application of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) methods to enhance the management of academic queries, providing advantages for both students and educators. The study aims to improve the precision and pertinence of generated answers by combining LLMs with multi-source RAG systems. The model employs PDF datasets of various sizes and incorporates vector database support to streamline storage and retrieval, thereby boosting the model's capacity to handle extensive datasets. To process and produce comprehensive responses, the rese

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BADUROWICZ, Marcin, Stanisław SKULIMOWSKI, and Maciej LASKOWSKI. "FEASIBILITY OF USING LOW-PARAMETER LOCAL LLMS IN ANSWERING QUESTIONS FROM ENTERPRISE KNOWLEDGE BASE." Applied Computer Science 20, no. 4 (2024): 175–91. https://doi.org/10.35784/acs-2024-46.

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This paper evaluates the feasibility of deploying locally-run Large Language Models (LLMs) for retrieval-augmented question answering (RAG-QA) over internal knowledge bases in small and medium enterprises (SMEs), with a focus on Polish-language datasets. The study benchmarks eight popular open-source and source-available LLMs, including Google’s Gemma-9B and Speakleash’s Bielik-11B, assessing their performance across closed, open, and detailed question types, with metrics for language quality, factual accuracy, response stability, and processing efficiency. The results highlight that desktop-c

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Mercieca, Thomas, and Joseph G. Vella. "Multi-Dimensional Indexes in DBMSs." Journal of Cases on Information Technology 21, no. 3 (2019): 40–50. http://dx.doi.org/10.4018/jcit.2019070103.

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Multi-dimensional data is present across multimedia, data mining and other data-driven applications. The R-Tree is a popular index structure that DBMSs are implementing as core for efficient retrieval of such data. The gap between the best and worst-case performance is very wide in an R-tree. Thus, building quality R-trees quickly is desirable. Variations differ in how node overflow are approached during the building process. This article studies the R-Tree technique that the open-source PostgreSQL DBMS uses. Focus is on a specific parameter controlling node overflows as an optimisation target

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Cai, Rui, Zhiyu Dong, Jianfeng Dong, and Xun Wang. "Dynamic Adapter with Semantics Disentangling for Cross-lingual Cross-modal Retrieval." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 2 (2025): 1907–16. https://doi.org/10.1609/aaai.v39i2.32186.

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Existing cross-modal retrieval methods typically rely on large-scale vision-language pair data. This makes it challenging to efficiently develop a cross-modal retrieval model for under-resourced languages of interest. Therefore, Cross-lingual Cross-modal Retrieval (CCR), which aims to align vision and the low-resource language (the target language) without using any human-labeled target-language data, has gained increasing attention. As a general parameter-efficient way, a common solution is to utilize adapter modules to transfer the vision-language alignment ability of Vision-Language Pretrai

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Zhang, Yongfeng, Jinwei Bu, Xiaoqing Zuo, Kegen Yu, Qiulan Wang, and Weimin Huang. "Vegetation Water Content Retrieval from Spaceborne GNSS-R and Multi-Source Remote Sensing Data Using Ensemble Machine Learning Methods." Remote Sensing 16, no. 15 (2024): 2793. http://dx.doi.org/10.3390/rs16152793.

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Vegetation water content (VWC) is a crucial parameter for evaluating vegetation growth, climate change, natural disasters such as forest fires, and drought prediction. Spaceborne global navigation satellite system reflectometry (GNSS-R) has become a valuable tool for soil moisture (SM) and biomass remote sensing (RS) due to its higher spatial resolution compared with microwave measurements. Although previous studies have confirmed the enormous potential of spaceborne GNSS-R for vegetation monitoring, the utilization of this technology to fuse multiple RS parameters to retrieve VWC is not yet m

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Blecic, Jasmina, Joseph Harrington, Patricio E. Cubillos, et al. "An Open-source Bayesian Atmospheric Radiative Transfer (BART) Code. III. Initialization, Atmospheric Profile Generator, Post-processing Routines." Planetary Science Journal 3, no. 4 (2022): 82. http://dx.doi.org/10.3847/psj/ac3515.

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Abstract This and companion papers by Harrington et al. and Cubillos et al. describe an open-source retrieval framework, Bayesian Atmospheric Radiative Transfer (BART), available to the community under the reproducible-research license via https://github.com/exosports/BART. BART is a radiative transfer code (transit; https://github.com/exosports/transit; Rojo et al.), initialized by the Thermochemical Equilibrium Abundances (TEA; https://github.com/dzesmin/TEA) code (Blecic et al.), and driven through the parameter phase space by a differential-evolution Markov Chain Monte Carlo (MC3; https://

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Thompson, Alexandra, Alfredo Biagini, Gianluca Cracchiolo, et al. "Correcting Exoplanet Transmission Spectra for Stellar Activity with an Optimized Retrieval Framework." Astrophysical Journal 960, no. 2 (2024): 107. http://dx.doi.org/10.3847/1538-4357/ad0369.

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Abstract The chromatic contamination that arises from photospheric heterogeneities, e.g., spots and faculae on the host star presents a significant noise source for exoplanet transmission spectra. If this contamination is not corrected for, it can introduce substantial bias in our analysis of the planetary atmosphere. We utilize two stellar models of differing complexity, StARPA (Stellar Activity Removal for Planetary Atmospheres) and ASteRA (Active Stellar Retrieval Algorithm), to explore the biases introduced by stellar contamination in retrieval under differing degrees of stellar activity.

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Muckenhuber, Stefan, Anton Andreevich Korosov, and Stein Sandven. "Open-source feature-tracking algorithm for sea ice drift retrieval from Sentinel-1 SAR imagery." Cryosphere 10, no. 2 (2016): 913–25. http://dx.doi.org/10.5194/tc-10-913-2016.

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Abstract. A computationally efficient, open-source feature-tracking algorithm, called ORB, is adopted and tuned for sea ice drift retrieval from Sentinel-1 SAR (Synthetic Aperture Radar) images. The most suitable setting and parameter values have been found using four Sentinel-1 image pairs representative of sea ice conditions between Greenland and Severnaya Zemlya during winter and spring. The performance of the algorithm is compared to two other feature-tracking algorithms, namely SIFT (Scale-Invariant Feature Transform) and SURF (Speeded-Up Robust Features). Having been applied to 43 test i

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Nikonovas, T., P. R. J. North, and S. H. Doerr. "Smoke aerosol properties and ageing effects for Northern temperate and boreal regions derived from AERONET source and age attribution." Atmospheric Chemistry and Physics Discussions 15, no. 5 (2015): 6445–79. http://dx.doi.org/10.5194/acpd-15-6445-2015.

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Abstract. Particulate emissions from wildfires impact human health and have a large but uncertain effect on climate. Modelling schemes depend on information about emission factors, emitted particle microphysical and optical properties and ageing effects, while satellite retrieval algorithms make use of characteristic aerosol models to improve retrieval. Ground based remote sensing provides detailed aerosol characterisation, but does not contain information on source. Here, a method is presented to estimate plume origin land cover type and age for AERONET aerosol observations, employing traject

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18

Oveisgharan, Shadi, Daniel Esteban-Fernandez, Duane Waliser, Randall Friedl, Son Nghiem, and Xubin Zeng. "Evaluating the Preconditions of Two Remote Sensing SWE Retrieval Algorithms over the US." Remote Sensing 12, no. 12 (2020): 2021. http://dx.doi.org/10.3390/rs12122021.

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A large amount of fresh water resources are stored in the snowpack, which is the primary source of water for streamflow in many places at middle-to-high latitude areas. Therefore, snow water equivalent (SWE) is a key parameter in the water cycle. Active and passive microwave remote sensing methods have been used to retrieve SWE due to relatively poor resolution of current in situ interpolated maps with good accuracy. However, estimation of SWE has proved challenging, despite several decades of efforts to develop retrieval approaches. Active sensors provide higher-resolution observations. Two r

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Gong, Jialong, Xing Zhong, Ruifei Zhu, Zhaoxin Xu, Dong Wang, and Jian Yin. "An Angle Effect Correction Method for High-Resolution Satellite Side-View Imaging Data to Improve Crop Monitoring Accuracy." Remote Sensing 16, no. 12 (2024): 2172. http://dx.doi.org/10.3390/rs16122172.

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In recent years, the advancement of CubeSat technology has led to the emergence of high-resolution, flexible imaging satellites as a pivotal source of information for the efficient and precise monitoring of crops. However, the dynamic geometry inherent in flexible side-view imaging poses challenges in acquiring the high-precision reflectance data necessary to accurately retrieve crop parameters. This study aimed to develop an angular correction method designed to generate nadir reflectance from high-resolution satellite side-swing imaging data. The method utilized the Anisotropic Flat Index (A

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Zhou, Lu, Shiming Xu, Jiping Liu, and Bin Wang. "On the retrieval of sea ice thickness and snow depth using concurrent laser altimetry and L-band remote sensing data." Cryosphere 12, no. 3 (2018): 993–1012. http://dx.doi.org/10.5194/tc-12-993-2018.

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Abstract. The accurate knowledge of sea ice parameters, including sea ice thickness and snow depth over the sea ice cover, is key to both climate studies and data assimilation in operational forecasts. Large-scale active and passive remote sensing is the basis for the estimation of these parameters. In traditional altimetry or the retrieval of snow depth with passive microwave remote sensing, although the sea ice thickness and the snow depth are closely related, the retrieval of one parameter is usually carried out under assumptions over the other. For example, climatological snow depth data o

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Knobelspiesse, Kirk, Amir Ibrahim, Bryan Franz, et al. "Analysis of simultaneous aerosol and ocean glint retrieval using multi-angle observations." Atmospheric Measurement Techniques 14, no. 5 (2021): 3233–52. http://dx.doi.org/10.5194/amt-14-3233-2021.

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Abstract. Since early 2000, NASA's Multi-angle Imaging SpectroRadiometer (MISR) instrument has been performing remote sensing retrievals of aerosol optical properties from the polar-orbiting Terra spacecraft. A noteworthy aspect of MISR observations over the ocean is that, for much of the Earth, some of the multi-angle views have contributions from solar reflection by the ocean surface (glint, or glitter), while others do not. Aerosol retrieval algorithms often discard these glint-influenced observations because they can overwhelm the signal and are difficult to predict without knowledge of th

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Iwabuchi, Hironobu, Soichiro Yamada, Shuichiro Katagiri, Ping Yang, and Hajime Okamoto. "Radiative and Microphysical Properties of Cirrus Cloud Inferred from Infrared Measurements Made by the Moderate Resolution Imaging Spectroradiometer (MODIS). Part I: Retrieval Method." Journal of Applied Meteorology and Climatology 53, no. 5 (2014): 1297–316. http://dx.doi.org/10.1175/jamc-d-13-0215.1.

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AbstractAn optimal estimation–based algorithm is developed to infer the global-scale distribution of cirrus cloud radiative and microphysical properties from the measurements made by the Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) at three infrared (IR) window bands centered at 8.5, 11, and 12 μm. Cloud-top and underlying surface temperatures, as a priori information, are obtained from the MODIS operational products. A fast-forward model based on semianalytical equations for the brightness temperature is used. The modeling errors in brightness temperature are mainly from the unc

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Niroumand-Jadidi, M., and F. Bovolo. "WATER QUALITY RETRIEVAL AND ALGAL BLOOM DETECTION USING HIGH-RESOLUTION CUBESAT IMAGERY." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences V-3-2021 (June 17, 2021): 191–95. http://dx.doi.org/10.5194/isprs-annals-v-3-2021-191-2021.

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Abstract. Recent advancements in developing small satellites known as CubeSats provide an increasingly viable means of characterizing the dynamics of inland and nearshore waters with an unprecedented combination of high revisits (< 1 day) with a high spatial resolution (meter-scale). Estimation of water quality parameters can benefit from the very high spatiotemporal resolution of CubeSat imagery for monitoring subtle variations and identification of hazardous events like algal blooms. In this study, we present the first study on retrieving lake chlorophyll-a (Chl-a) concentration and detec

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Hodrius, M., S. Migdall, H. Bach, and T. Hank. "The Impact of Multi-Sensor Data Assimilation on Plant Parameter Retrieval and Yield Estimation for Sugar Beet." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-7/W3 (April 28, 2015): 19–25. http://dx.doi.org/10.5194/isprsarchives-xl-7-w3-19-2015.

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Yield Maps are a basic information source for site-specific farming. For sugar beet they are not available as in-situ measurements. This gap of information can be filled with Earth Observation (EO) data in combination with a plant growth model (PROMET) to improve farming and harvest management. The estimation of yield based on optical satellite imagery and crop growth modelling is more challenging for sugar beet than for other crop types since the plants’ roots are harvested. These are not directly visible from EO. In this study, the impact of multi-sensor data assimilation on the yield estima

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Muckenhuber, S., A. Korosov, and S. Sandven. "Sea ice drift from Sentinel-1 SAR imagery using open source feature tracking." Cryosphere Discussions 9, no. 6 (2015): 6937–59. http://dx.doi.org/10.5194/tcd-9-6937-2015.

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Abstract. A computational efficient, open source feature tracking algorithm, called ORB, is adopted and tuned for sea ice drift retrieval from Sentinel-1 SAR images. The best suitable setting and parameter values have been found using four representative Sentinel-1 image pairs. A new quality measure for feature tracking algorithms is introduced utilising the distribution of the resulting vector field. The performance of the algorithm is compared with two other feature tracking algorithms (SIFT and SURF). Applied on a test image pair acquired over Fram Strait, the tuned ORB algorithm produces t

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Mei, Ruyu, Kebiao Mao, Jiancheng Shi, et al. "A Novel Physics-Statistical Coupled Paradigm for Retrieving Integrated Water Vapor Content Based on Artificial Intelligence." Remote Sensing 15, no. 17 (2023): 4250. http://dx.doi.org/10.3390/rs15174250.

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Retrieval of integrated water vapor content (WVC) from remote sensing data is often ill-posed because of insufficient observational information. There are many factors that cause WVC changes, which yield instability in the accuracy of many traditional algorithms. To overcome this problem, we developed a novel fully-coupled paradigm for the robust retrieval of WVC from thermal infrared remote sensing data. Through the derivation of the physical radiative transfer equation, we determined two conditions that need to be satisfied for the deep learning retrieval paradigm of WVC. The first condition

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Hou, W. Z., H. F. Wang, Z. Q. Li, et al. "PRELIMINARY SENSITIVITY STUDY OF AEROSOL LAYER HEIGHT FROM SYNTHETIC MULTIANGLE POLARIMETRIC REMOTE SENSING MEASUREMENTS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W9 (October 25, 2019): 63–69. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w9-63-2019.

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Abstract. Many previous studies have shown that multiangle, multispectral polarimetric remote sensing can provide valuable information on aerosol microphysical and optical properties, in which the aerosol layer height (ALH) is an important parameter but with less studies, especially in the near-ultraviolet (near-UV) and visible (VIS) wavelength bands. Based on the optimal estimation (OE) theory and information content analysis method, we focus on the sensitivity study of ALH with the synthetic data in the near-UV and VIS wavelength in the range of 410–865 nm, and further to assess the capabili

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Yu, Lihong, Jiali Shang, Zhiqiang Cheng, et al. "Assessment of Cornfield LAI Retrieved from Multi-Source Satellite Data Using Continuous Field LAI Measurements Based on a Wireless Sensor Network." Remote Sensing 12, no. 20 (2020): 3304. http://dx.doi.org/10.3390/rs12203304.

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Accurate and continuous monitoring of leaf area index (LAI), a widely-used vegetation structural parameter, is crucial to characterize crop growth conditions and forecast crop yield. Meanwhile, advancements in collecting field LAI measurements have provided strong support for validating remote-sensing-derived LAI. This paper evaluates the performance of LAI retrieval from multi-source, remotely sensed data through comparisons with continuous field LAI measurements. Firstly, field LAI was measured continuously over periods of time in 2018 and 2019 using LAINet, a continuous LAI measurement syst

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Bauduin, S., L. Clarisse, J. Hadji-Lazaro, N. Theys, C. Clerbaux, and P. F. Coheur. "Retrieval of near-surface sulfur dioxide (SO<sub>2</sub>) concentrations at a global scale using IASI satellite observations." Atmospheric Measurement Techniques Discussions 8, no. 10 (2015): 11029–75. http://dx.doi.org/10.5194/amtd-8-11029-2015.

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Abstract. SO2 from volcanic eruptions is now operationally monitored from space in both ultraviolet (UV) and thermal infrared (TIR) spectral range, but anthropogenic SO2 has almost solely been measured from UV sounders. Indeed, TIR instruments are well-known to have a poor sensitivity to the boundary layer (PBL), due to generally low thermal contrast (TC) between the ground and the air above it. Recent studies have demonstrated the capability of the Infrared Atmospheric Sounding Interferometer (IASI) to measure near-surface SO2 locally, for specific atmospheric conditions. In this work, we dev

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Fevola, Giovanni, Erik Bergbäck Knudsen, Tiago Ramos, Dina Carbone, and Jens Wenzel Andreasen. "A Monte Carlo ray-tracing simulation of coherent X-ray diffractive imaging." Journal of Synchrotron Radiation 27, no. 1 (2020): 134–45. http://dx.doi.org/10.1107/s1600577519014425.

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Coherent diffractive imaging (CDI) experiments are adequately simulated assuming the thin sample approximation and using a Fresnel or Fraunhofer wavefront propagator to obtain the diffraction pattern. Although this method is used in wave-based or hybrid X-ray simulators, here the applicability and effectiveness of an alternative approach that is based solely on ray tracing of Huygens wavelets are investigated. It is shown that diffraction fringes of a grating-like source are accurately predicted and that diffraction patterns of a ptychography dataset from an experiment with realistic parameter

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Nikonovas, T., P. R. J. North, and S. H. Doerr. "Smoke aerosol properties and ageing effects for northern temperate and boreal regions derived from AERONET source and age attribution." Atmospheric Chemistry and Physics 15, no. 14 (2015): 7929–43. http://dx.doi.org/10.5194/acp-15-7929-2015.

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Abstract. Particulate emissions from wildfires impact human health and have a large but uncertain effect on climate. Modelling schemes depend on information about emission factors, emitted particle microphysical and optical properties and ageing effects, while satellite retrieval algorithms make use of characteristic aerosol models to improve retrieval. Ground-based remote sensing provides detailed aerosol characterisation, but does not contain information on source. Here, a method is presented to estimate plume origin land cover type and age for AERONET aerosol observations, employing traject

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Aloisio, Isobel A., David M. Paganin, Christopher A. Wright, and Kaye S. Morgan. "Exploring experimental parameter choice for rapid speckle-tracking phase-contrast X-ray imaging with a paper analyzer." Journal of Synchrotron Radiation 22, no. 5 (2015): 1279–88. http://dx.doi.org/10.1107/s1600577515011406.

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Phase-contrast X-ray imaging using a paper analyzer enables the visualization of X-ray transparent biological structures using the refractive properties of the sample. The technique measures the sample-induced distortions of a spatially random reference pattern to retrieve quantitative sample information. This phase-contrast method is promising for biomedical application due to both a simple experimental set-up and a capability for real-time imaging. The authors explore the experimental configuration required to achieve robustness and accuracy in terms of (i) the paper analyzer feature size, (

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Susanto, Arif, Miftahul Zannah, Edi Karyono Putro, Anthony Andorful Manuel, Wiliam Engelberth Yochu, and Rizky Mahlisa. "Penilaian Status Kualitas Air Baku untuk Air Minum di Area Concentrating Division PT Freeport Indonesia." Jurnal Teknologi Lingkungan 25, no. 1 (2024): 088–93. http://dx.doi.org/10.55981/jtl.2024.3561.

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The quality of drinking water necessitated by workers is determined by raw water quality acquired from surface runoff. It shall qualify the Government of Indonesiaꞌs regulation on quality requirements. This research aims to analyze raw water quality used as the primary source of potable water by using The Pollution Index (PI) and Storage & Retrieval (STORET) method. Analysis results of the raw water quality using IP and STORET methods, respectively, scores at 0.612 and 0. This raw water classification meets the required quality metrics since all physical, chemical, and microbiological para

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Cubillos, Patricio E., Joseph Harrington, Jasmina Blecic, et al. "An Open-source Bayesian Atmospheric Radiative Transfer (BART) Code. II. The Transit Radiative Transfer Module and Retrieval of HAT-P-11b." Planetary Science Journal 3, no. 4 (2022): 81. http://dx.doi.org/10.3847/psj/ac348b.

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Abstract This and companion papers by Harrington et al. and Blecic et al. present the Bayesian Atmospheric Radiative Transfer (bart) code, an open-source, open-development package to characterize extrasolar planet atmospheres. bart combines a thermochemical equilibrium abundance (tea), a radiative transfer (Transit), and a Bayesian statistical (mc3) module to constrain atmospheric temperatures and molecular abundances for given spectroscopic observations. Here we describe the Transit radiative transfer package, an efficient line-by-line radiative transfer C code for one-dimensional atmospheres

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Ao, Tu, Yanhua Yu, Yuling Wang, et al. "LightPROF: A Lightweight Reasoning Framework for Large Language Model on Knowledge Graph." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 22 (2025): 23424–32. https://doi.org/10.1609/aaai.v39i22.34510.

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Large Language Models (LLMs) have impressive capabilities in text understanding and zero-shot reasoning. However, delays in knowledge updates may cause them to reason incorrectly or produce harmful results. Knowledge Graphs (KGs) provide rich and reliable contextual information for the reasoning process of LLMs by structurally organizing and connecting a wide range of entities and relations. Existing KG-based LLM reasoning methods only inject KGs' knowledge into prompts in a textual form, ignoring its structural information. Moreover, they mostly rely on close-source models or open-source mode

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Arbiyani, Filian, Filbert Filbert, and Anthony Nathanael Theo. "Study of a Remote Wind Resource Assessment System Integrated with Internet of Things." Journal of Mechanical Engineering Science and Technology (JMEST) 8, no. 1 (2024): 215. https://doi.org/10.17977/um016v8i12024p215.

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Wind energy is an emerging and popular source of clean energy due to its non-polluting nature and low cost. The efficient use of wind energy requires accurate and precise wind parameter measurements, which is where wind resource assessment (WRA) comes into play. The IoT and cloud-based systems have been applied to remote monitoring systems and provide crucial solutions for data acquisition, storage, and analytics in wind energy technology. This study aims to build a remote WRA system integrated with the Internet of Things. This study utilizes an Arduino Uno microcontroller, RK100-01 wind speed

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Bauduin, Sophie, Lieven Clarisse, Juliette Hadji-Lazaro, Nicolas Theys, Cathy Clerbaux, and Pierre-François Coheur. "Retrieval of near-surface sulfur dioxide (SO<sub>2</sub>) concentrations at a global scale using IASI satellite observations." Atmospheric Measurement Techniques 9, no. 2 (2016): 721–40. http://dx.doi.org/10.5194/amt-9-721-2016.

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Abstract. SO2 from volcanic eruptions is now operationally monitored from space in both the ultraviolet (UV) and thermal infrared (TIR) spectral range, but anthropogenic SO2 has almost solely been measured from UV sounders. Indeed, TIR instruments are well known to have a poor sensitivity to the planetary boundary layer (PBL), due to generally low thermal contrast (TC) between the ground and the air above it. Recent studies have demonstrated the capability of the Infrared Atmospheric Sounding Interferometer (IASI) to measure near-surface SO2 locally, for specific atmospheric conditions. In thi

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Argyrouli, Athina, Diego Loyola, Fabian Romahn, et al. "An advanced spatial coregistration of cloud properties for the atmospheric Sentinel missions: application to TROPOMI." Atmospheric Measurement Techniques 17, no. 21 (2024): 6345–67. http://dx.doi.org/10.5194/amt-17-6345-2024.

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Abstract. The retrieval of cloud parameters from the atmospheric Sentinel missions requires Earth reflectance measurements from a set of spectral bands. The ground pixels of the involved spectral bands should be fully aligned, but when they are not, special treatment is required within the operational algorithms. This so-called inter-band spatial misregistration of passive spectrometers is present when the Earth reflectance measurements in different spectral bands are captured by different spectrometers. The cloud retrieval algorithm requires reflectance measurements in the UV(ultraviolet)–VIS

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Zhong, Wei, YiFan Liu, Yan Liu, et al. "Performance of ChatGPT-4o and Four Open-Source Large Language Models in Generating Diagnoses Based on China’s Rare Disease Catalog: Comparative Study." Journal of Medical Internet Research 27 (June 18, 2025): e69929-e69929. https://doi.org/10.2196/69929.

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Abstract Background Diagnosing rare diseases remains challenging due to their inherent complexity and limited physician knowledge. Large language models (LLMs) offer new potential to enhance diagnostic workflows. Objective This study aimed to evaluate the diagnostic accuracy of ChatGPT-4o and 4 open-source LLMs (qwen2.5:7b, Llama3.1:8b, qwen2.5:72b, and Llama3.1:70b) for rare diseases, assesses the language effect on diagnostic performance, and explore retrieval augmented generation (RAG) and chain-of-thought (CoT) reasoning. Methods We extracted clinical manifestations of 121 rare diseases fr

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Dos Santos, Leonardo A., Aline A. Vidotto, Shreyas Vissapragada, et al. "p-winds: An open-source Python code to model planetary outflows and upper atmospheres." Astronomy & Astrophysics 659 (March 2022): A62. http://dx.doi.org/10.1051/0004-6361/202142038.

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Atmospheric escape is considered to be one of the main channels for evolution in sub-Jovian planets, particularly in their early lives. While there are several hypotheses proposed to explain escape in exoplanets, testing them with atmospheric observations remains a challenge. In this context, high-resolution transmission spectroscopy of transiting exoplanets for the metastable helium triplet (He 23S) at 1083 nm has emerged as a reliable technique for observing and measuring escape. To aid in the prediction and interpretation of metastable He transmission spectroscopy observations, we developed

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Smallman, Thomas Luke, David Thomas Milodowski, Eráclito Sousa Neto, Gerbrand Koren, Jean Ometto, and Mathew Williams. "Parameter uncertainty dominates C-cycle forecast errors over most of Brazil for the 21st century." Earth System Dynamics 12, no. 4 (2021): 1191–237. http://dx.doi.org/10.5194/esd-12-1191-2021.

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Abstract. Identification of terrestrial carbon (C) sources and sinks is critical for understanding the Earth system as well as mitigating and adapting to climate change resulting from greenhouse gas emissions. Predicting whether a given location will act as a C source or sink using terrestrial ecosystem models (TEMs) is challenging due to net flux being the difference between far larger, spatially and temporally variable fluxes with large uncertainties. Uncertainty in projections of future dynamics, critical for policy evaluation, has been determined using multi-TEM intercomparisons, for vario

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Guo, Lijie, Liangke Huang, Junyu Li, et al. "A Comprehensive Evaluation of Key Tropospheric Parameters from ERA5 and MERRA-2 Reanalysis Products Using Radiosonde Data and GNSS Measurements." Remote Sensing 13, no. 15 (2021): 3008. http://dx.doi.org/10.3390/rs13153008.

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Tropospheric delay is a major error source in the Global Navigation Satellite System (GNSS), and the weighted mean temperature (Tm) is a key parameter in precipitable water vapor (PWV) retrieval. Although reanalysis products like the National Centers for Environmental Prediction (NCEP) and the European Center for Medium-Range Weather Forecasts (ECMWF) Re-Analysis-Interim (ERA-Interim) data have been used to calculate and model the tropospheric delay, Tm, and PWV, the limitations of the temporal and spatial resolutions of the reanalysis data have affected their performance. The release of the f

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Ren, Yijie, Binglong Chen, Lingbing Bu, Gen Hu, Jingyi Fang, and Pasindu Liyanage. "The First Validation of Aerosol Optical Parameters Retrieved from the Terrestrial Ecosystem Carbon Inventory Satellite (TECIS) and Its Application." Remote Sensing 16, no. 19 (2024): 3689. http://dx.doi.org/10.3390/rs16193689.

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In August 2022, China successfully launched the Terrestrial Ecosystem Carbon Inventory Satellite (TECIS). The primary payload of this satellite is an onboard multi-beam lidar system, which is capable of observing aerosol optical parameters on a global scale. This pioneering study used the Fernald forward integration method to retrieve aerosol optical parameters based on the Level 2 data of the TECIS, including the aerosol depolarization ratio, aerosol backscatter coefficient, aerosol extinction coefficient, and aerosol optical depth (AOD). The validation of the TECIS-retrieved aerosol optical

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Ye, Xin, Huazhong Ren, Pengxin Wang, Zhongqiu Sun, and Jian Zhu. "Mid-Infrared Emissivity Retrieval from Nighttime Sentinel-3 SLSTR Images Combining Split-window Algorithms and the Radiance Transfer Method." International Journal of Environmental Research and Public Health 20, no. 1 (2022): 37. http://dx.doi.org/10.3390/ijerph20010037.

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Land surface emissivity is a key parameter that affects energy exchange and represents the spectral characteristics of land cover. Large-scale mid-infrared (MIR) emissivity can be efficiently obtained using remote sensing technology, but current methods mainly rely on prior knowledge and multi-temporal or multi-angle remote sensing images, and additional errors may be introduced due to the uncertainty of external data such as atmospheric profiles and the inconsistency of multiple source data in spatial resolution, observation time, and other information. In this paper, a new practical method w

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Chernyshov, Pavel, Katrin Hessner, Andrey Zavadsky, and Yaron Toledo. "On the Effect of Interferences on X-Band Radar Wave Measurements." Sensors 22, no. 10 (2022): 3818. http://dx.doi.org/10.3390/s22103818.

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X-band radars are in growing use for various oceanographic purposes, providing spatial real-time information about sea state parameters, surface elevations, currents, and bathymetry. Therefore, it is very appealing to use such systems as operational aids to harbour management. In an installation of such a remote sensing system in Haifa Port, consistent radially aligned spikes of brightness randomly distributed with respect to azimuth were identified. These streak noise patterns were found to be interfering with the common approach of oceanographic analysis. Harbour areas are regularly frequent

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Kalms, Lester, Pedram Amini Rad, Muhammad Ali, Arsany Iskander, and Diana Göhringer. "A Parametrizable High-Level Synthesis Library for Accelerating Neural Networks on FPGAs." Journal of Signal Processing Systems 93, no. 5 (2021): 513–29. http://dx.doi.org/10.1007/s11265-021-01651-5.

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AbstractIn recent years, Convolutional Neural Network CNN have been incorporated in a large number of applications, including multimedia retrieval and image classification. However, CNN based algorithms are computationally and resource intensive and therefore difficult to be used in embedded systems. FPGA based accelerators are becoming more and more popular in research and industry due to their flexibility and energy efficiency. However, the available resources and the size of the on-chip memory can limit the performance of the FPGA accelerator for CNN. This work proposes an High-Level Synthe

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Du, Wenhui, Zhihao Qin, Jinlong Fan, et al. "Land Surface Temperature Retrieval from Fengyun-3D Medium Resolution Spectral Imager II (FY-3D MERSI-II) Data with the Improved Two-Factor Split-Window Algorithm." Remote Sensing 13, no. 24 (2021): 5072. http://dx.doi.org/10.3390/rs13245072.

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Land surface temperature (LST) is an essential parameter widely used in environmental studies. The Medium Resolution Spectral Imager II (MERSI-II) boarded on the second generation Chinese polar-orbiting meteorological satellite, Fengyun-3D (FY-3D), provides a new opportunity for LST retrieval at a spatial resolution of 250 m that is higher than that of the already widely used Moderate Resolution Imaging Spectrometer (MODIS) LST data of 1000 m. However, there is no operational LST product from FY-3D MERSI-II data available for free access. Therefore, in this study, we developed an improved two-

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Wu, Ying, Bo Qian, Yansong Bao, George P. Petropoulos, Xulin Liu, and Lin Li. "Microwave Land Emissivity Calculations over the Qinghai-Tibetan Plateau Using FY-3B/MWRI Measurements." Remote Sensing 11, no. 19 (2019): 2206. http://dx.doi.org/10.3390/rs11192206.

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The Qinghai-Tibetan plateau plays an important role in climate change with its unique characteristics, and the surface emissivity is an important parameter to describe the surface characteristics. It is also very important for the accurate retrieval of surface and atmospheric parameters. Different types of surface features have their own radiation characteristics due to their differences in structure, water content and roughness. In this study, the microwave land surface emissivity (10.65, 18.7, 23.8, 36.5 and 89 GHz) of the Qinghai-Tibetan Plateau was calculated using the simplified microwave

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Pisanti, A., S. Magrì, I. Ferrando, and B. Federici. "SEA WATER TURBIDITY ANALYSIS FROM SENTINEL-2 IMAGES: ATMOSPHERIC CORRECTION AND BANDS CORRELATION." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-4/W1-2022 (August 6, 2022): 371–78. http://dx.doi.org/10.5194/isprs-archives-xlviii-4-w1-2022-371-2022.

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Abstract. Turbidity is a visual property of water, related to the presence of suspended particles in waters. This parameter is measured in different water quality monitoring programmes as it can determine negative environmental effects both on the biotic and abiotic marine ecosystem. Traditional methods, e.g., in situ monitoring, offer high accuracy but provide sparse information in space and time. On the other hand, Earth Observation (EO) techniques have the potential to provide a comprehensive, fast and inexpensive monitoring system to observe the biophysical and biochemical conditions of wa

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Zhang, Hu, Jing Li, Qinhuo Liu, et al. "Estimating Leaf Area Index with Dynamic Leaf Optical Properties." Remote Sensing 13, no. 23 (2021): 4898. http://dx.doi.org/10.3390/rs13234898.

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Leaf area index (LAI) plays an important role in models of climate, hydrology, and ecosystem productivity. The physical model-based inversion method is a practical approach for large-scale LAI inversion. However, the ill-posed inversion problem, due to the limited constraint of inaccurate input parameters, is the dominant source of inversion errors. For instance, variables related to leaf optical properties are always set as constants or have large ranges, instead of the actual leaf reflectance of pixel vegetation in the current model-based inversions. This paper proposes to estimate LAI with

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