Semi-supervised combination of experts for aerosol optical depth estimation
نویسندگان
چکیده
منابع مشابه
Evaluation of a Neural Network-Based Approach for Aerosol Optical Depth Retrieval and Uncertainty Estimation
In many applications of the neural networks, predicting the conditional average of the target variable is not sufficient. Often, real life problems also require estimation of the uncertainty. In this study, uncertainty analysis is applied on a remote sensing problem of Aerosol Optical Depth (AOD) estimation. AOD is one of the most important properties of the atmosphere that indicates the amount...
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متن کاملParameterization of clear-sky surface irradiance and its implications for estimation of aerosol direct radiative effect and aerosol optical depth
Aerosols impact clear-sky surface irradiance () through the effects of scattering and absorption. Linear or nonlinear relationships between aerosol optical depth (τa) and have been established to describe the aerosol direct radiative effect on (ADRE). However, considerable uncertainties remain associated with ADRE due to the incorrect estimation of (τa in the absence of aerosols). Based on data...
متن کاملAerosol Optical Depth Prediction from Satellite Observations
Aerosols are small airborne particles that both reflect and absorb incoming solar radiation and whose effect on the Earth’s radiation budget is one of the biggest challenges of current climate research. To help address this challenge, numerous satellite sensors are employed to achieve globalscale monitoring of aerosols. Given the satellite measurements, the common objective is prediction of Aer...
متن کاملAerosol Optical Depth Spatial and Temporal Variability Using Satellite Data Over Indian Major Cities
Introduction: The study’s main aim is to investigate the long-term variation of Aerosol Optical Depth (AOD). It also aims to show the relationship between meteorological parameters. This study evaluates long-term (2010 to 2021) special and temporal changes over major Indian regions using satellite-based data from NASA’s Terra Satellite. Materials and Methods: This study was carried out during ...
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ژورنال
عنوان ژورنال: Artificial Intelligence
سال: 2016
ISSN: 0004-3702
DOI: 10.1016/j.artint.2015.09.010