Feb 22, 2022 · In this study, we investigated the possibility of using Landsat imagery to develop high-resolution AOD estimations at 30 m based on machine ...
AOD estimations at 30 m based on machine learning ... Estimation of Aerosol Optical Depth at 30 m Resolution Using Landsat Imagery and Machine Learning.
To estimate AOD from these satellite images, unlike the conventional radiative transfer-based look-up-table (LUT) approach, this study uses SEMARA coupled model ...
Estimation of Aerosol Optical Depth at 30 m Resolution Using. Landsat Imagery and Machine Learning ... AOD (1 km) and Landsat-8 overpass time AERONET. AOD ...
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Summary: This study utilized machine learning for AOD retrieval of MODIS data, achieving high-accuracy aerosol detection by using AERONET site data and MODIS ...
Mar 15, 2022 · In this study, we explore a fully supervised DNN method to estimate high spatial resolution AOD from Landsat-8 data by leveraging a cloud ...
Jan 23, 2024 · The study investigates a high-resolution retrieval of AOD over complex surfaces and various aerosol regimes of South Asian countries such as ...
S.L. Liang et al. Improved estimation of aerosol optical depth from MODIS imagery over land surfaces ... resolution (30 m) from Landsat-8 satellite OLI images.
Oct 3, 2023 · Aerosol Optical Depth (AOD) serves as a crucial indicator for assessing regional air quality by quantifying aerosol levels in the atmosphere ...
Abstract Aerosol Optical Depth (AOD) serves as a crucial indicator for assessing regional air quality by quantifying aerosol levels in the atmosphere.