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The increased concentration of aerosols in the air caused by ever-rising urbanization and the development of various industries has horrendous consequences on human health, environment and climate. The first step to counter adverse effects…

Signal Processing · Electrical Eng. & Systems 2020-10-26 Safa~Ashraf , Zubair Khalid , Muhammad Tahir , Momin Uppal

A number of observations have shown that Rayleigh scattering by aerosols dominates the transmission spectrum of HD 189733b at wavelengths shortward of 1 $\mu$m. In this study, we retrieve a range of aerosol distributions consistent with…

Earth and Planetary Astrophysics · Physics 2015-06-17 Jae-Min Lee , Patrick G. J. Irwin , Leigh N. Fletcher , Kevin Heng , Joanna K. Barstow

Reanalysis datasets combining numerical physics models and limited observations to generate a synthesised estimate of variables in an Earth system, are prone to biases against ground truth. Biases identified with the NASA Modern-Era…

Machine Learning · Computer Science 2019-10-16 Caleb Hoyne , S. Karthik Mukkavilli , David Meger

Black carbon and mineral dust are key absorbing aerosols that influence atmospheric radiation and increasingly threaten global cryospheric stability. This study examines the long-range transport and seasonal variability of these aerosols…

Atmospheric and Oceanic Physics · Physics 2026-02-18 Abira Sengupta , Ayoti Banerjee , Sarbani Palit , Brendon Woodford

Geolocation error in spaceborne sampling light detection and ranging (LiDAR) measurements of forest structure can compromise forest attribute estimates and degrade integration with georeferenced field measurements or other remotely sensed…

Atmospheric correction is a fundamental task in remote sensing because observations are taken either of the atmosphere or looking through the atmosphere. Atmospheric correction errors can significantly alter the spectral signature of the…

Image and Video Processing · Electrical Eng. & Systems 2022-03-23 Fangcao Xu , Jian Sun , Guido Cervone , Mark Salvador

Aerosols from natural and antropogenic sources are one of the atmospheric components that have the largest spacial-temporal variability, depending on the type (land or ocean) surface, human activity and climatic conditions (mainly…

Instrumentation and Methods for Astrophysics · Physics 2019-08-14 Rubén D. Piacentini , Martín Freire , María I. Micheletti , Graciela M. Salum , Javier Maya , Alexis Mancilla , Beatriz García

The main goal of this work is the analysis of new approaches to the study of the properties of astronomical sites. In particular, satellite data measuring aerosols have recently been proposed as a useful technique for site characterization…

Astrophysics · Physics 2008-10-07 A. M. Varela , C. Bertolin , C. Muñoz-Tuñón , S. Ortolani , J. J. Fuensalida

This paper investigates the possibility of high resolution mapping of PM2.5 concentration over Tehran city using high resolution satellite AOD (MAIAC) retrievals. For this purpose, a framework including three main stages, data…

Machine Learning · Computer Science 2022-04-06 Hossein Bagheri

Few-Shot Object Detection (FSOD) methods are mainly designed and evaluated on natural image datasets such as Pascal VOC and MS COCO. However, it is not clear whether the best methods for natural images are also the best for aerial images.…

Computer Vision and Pattern Recognition · Computer Science 2022-10-26 Pierre Le Jeune , Anissa Mokraoui

The Satellite for Orbital Aerodynamics Research (SOAR) is a CubeSat mission, due to be launched in 2021, to investigate the interaction between different materials and the atmospheric flow regime in very low Earth orbits (VLEO). Improving…

The idea of using stellar photometry for atmospheric monitoring for optical experiments in high-energy astrophysics is seemingly straightforward, but reaching high precision of the order of 0.01 in the determination of the vertical aerosol…

High resolution mapping of PM2.5 concentration over Tehran city is challenging because of the complicated behavior of numerous sources of pollution and the insufficient number of ground air quality monitoring stations. Alternatively, high…

Machine Learning · Computer Science 2024-02-06 Hossein Bagheri

Atmospheric retrieval studies are essential to determine the science requirements for future generation missions, such as the Large Interferometer for Exoplanets (LIFE). The use of heterogeneous absorption cross-sections might be the cause…

Collocated measurements of the mass concentrations of aerosol black carbon (BC) and composite aerosols near the surface were carried out along with spectral aerosol optical depths (AODs) from a high altitude station, Manora Peak in Central…

Atmospheric and Oceanic Physics · Physics 2015-06-26 P. Pant , P. Hegde , U. C. Dumka , Ram Sagar , S. K. Satheesh , K. Krishna Moorthy

The sulfur pollutants are the source of a sizeable portion of the air pollution. In this work, the spatial distribution and temporal trend of the mass concentration of two of the critical sulfur pollutants, SO2 and SO4, in addition to the…

Atmospheric and Oceanic Physics · Physics 2019-09-24 Muhammed ElTahan , Mohammed Magooda

We describe several techniques developed by the High Resolution Fly's Eye experiment for measuring aerosol vertical optical depth, aerosol horizontal attenuation length, and aerosol phase function. The techniques are based on measurements…

Astrophysics · Physics 2012-08-27 The HiRes Collaboration

The Fluorescence Detector (FD) of the Pierre Auger Observatory provides a nearly calorimetric measurement of the primary particle energy, since the fluorescence light produced is proportional to the energy dissipated by an Extensive Air…

Instrumentation and Methods for Astrophysics · Physics 2019-08-13 Laura Valore

Oxidative potential (OP), which measures particulate matter's (PM) capacity to induce oxidative stress in the lungs, is increasingly recognized as an indicator of PM toxicity. Since OP is not routinely monitored, it can be challenging to…

Computer Vision and Pattern Recognition · Computer Science 2024-07-22 Ian Hough , Loïc Argentier , Ziyang Jiang , Tongshu Zheng , Mike Bergin , David Carlson , Jean-Luc Jaffrezo , Jocelyn Chanussot , Gaëlle Uzu

Despite significant advancements in out-of-distribution (OOD) detection, existing methods still struggle to maintain robustness against adversarial attacks, compromising their reliability in critical real-world applications. Previous…

Machine Learning · Computer Science 2025-04-22 Hossein Mirzaei , Mackenzie W. Mathis