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of 493
pro vyhledávání: '"BAGHERI, HOSSEIN"'
Autor:
Chajaei, Fatemeh, Bagheri, Hossein
Publikováno v:
Urban Climate, vol. 57, p. 102102, 2024
Climate models lack the necessary resolution for urban climate studies, requiring computationally intensive processes to estimate high resolution air temperatures. In contrast, Data-driven approaches offer faster and more accurate air temperature dow
Externí odkaz:
http://arxiv.org/abs/2409.02120
Using Deep Ensemble Forest for High Resolution Mapping of PM2.5 from MODIS MAIAC AOD in Tehran, Iran
Autor:
Bagheri, Hossein
Publikováno v:
Environ Monit Assess 195, 377 (2023)
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 resolution
Externí odkaz:
http://arxiv.org/abs/2402.02139
Publikováno v:
ISPRS Int. J. Geo-Inf. 2023, 12(11), 450
Crop classification using remote sensing data has emerged as a prominent research area in recent decades. Studies have demonstrated that fusing SAR and optical images can significantly enhance the accuracy of classification. However, a major challeng
Externí odkaz:
http://arxiv.org/abs/2402.02121
One of the techniques for estimating the surface particle concentration with a diameter of fewer than 2.5 micrometers (PM2.5) is using aerosol optical depth (AOD) products. Different AOD products are retrieved from various satellite sensors, like MOD
Externí odkaz:
http://arxiv.org/abs/2302.10278
Publikováno v:
REMOTE SENSING LETTERS, 2022, VOL 13, NO 12, 1260-1270
Synergetic use of sensors for soil moisture retrieval is attracting considerable interest due to the different advantages of different sensors. Active, passive, and optic data integration could be a comprehensive solution for exploiting the advantage
Externí odkaz:
http://arxiv.org/abs/2211.15938
Autor:
Bagheri, Hossein
Publikováno v:
Advances in Space Research, Volume 69, Issue 9, 1 May 2022, Pages 3333-3349
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 preprocessing; regressi
Externí odkaz:
http://arxiv.org/abs/2204.02093
Autor:
Ganjirad, Mohammad, Bagheri, Hossein
Publikováno v:
In Ecological Informatics May 2024 80
Autor:
Ghasemi, Amirhossein, Olyaei, Gholam Reza, Bagheri, Hossein, Hadian, Mohammad Reza, Jalaei, Shohreh, Otadi, Khadijeh, Malmir, Kazem
Publikováno v:
In Journal of Hand Therapy December 2023
Autor:
Zhu, Xiao Xiang, Hu, Jingliang, Qiu, Chunping, Shi, Yilei, Kang, Jian, Mou, Lichao, Bagheri, Hossein, Häberle, Matthias, Hua, Yuansheng, Huang, Rong, Hughes, Lloyd, Li, Hao, Sun, Yao, Zhang, Guichen, Han, Shiyao, Schmitt, Michael, Wang, Yuanyuan
Access to labeled reference data is one of the grand challenges in supervised machine learning endeavors. This is especially true for an automated analysis of remote sensing images on a global scale, which enables us to address global challenges such
Externí odkaz:
http://arxiv.org/abs/1912.12171
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