Time series retrieval of Multi-wavelength Aerosol optical depth by adapting Transformer (TMAT) using Himawari-8 AHI data-Reference-Cited by-同舟云学术

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Time series retrieval of Multi-wavelength Aerosol optical depth by adapting Transformer (TMAT) using Himawari-8 AHI data

Published:2024-05 Issue: Volume:305 Page:114115
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

She Lu,Li Zhengqiang,de Leeuw Gerrit,Wang Weile,Wang Yujie,Yang Lu,Feng Zixian,Yang Chen,Shi Yun

Funder

Science and Technology Department of Ningxia

Japan Aerospace Exploration Agency

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference83 articles.

1. Tensorflow: large-scale machine learning on heterogeneous distributed systems. arXiv preprint arXiv:1603.04467;Abadi,2016

2. The retrieval of aerosol optical properties based on a random forest machine learning approach: exploration of geostationary satellite images;Bao;Remote Sens. Environ.,2023

3. Bounding global aerosol radiative forcing of climate change;Bellouin;Rev. Geophys.,2020

4. A comparison of statistical and machine learning methods for creating national daily maps of ambient PM2.5 concentration;Berrocal;Atmos. Environ.,2020

5. Dealing with clustered samples for assessing map accuracy by cross-validation;de Bruin;Ecol Inform.,2022

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