Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Xuepeng Zhao"'
Publikováno v:
Remote Sensing, Vol 16, Iss 13, p 2487 (2024)
Long-term (1982–2019) satellite climate data records (CDRs) of aerosols and clouds, reanalysis data of meteorological fields, and machine learning techniques are used to study the aerosol effect on deep convective clouds (DCCs) over the global ocea
Externí odkaz:
https://doaj.org/article/700b72257d864354a929fb86638faf38
Autor:
Yang Liu, Xuepeng Zhao, Yuhui Ma, Wanqin Dai, Zhuda Song, Yun Wang, Jiaqi Shen, Xiao He, Fang Yang, Zhiyong Zhang
Publikováno v:
Nanomaterials, Vol 13, Iss 18, p 2523 (2023)
As one of the most widely used nanomaterials, CeO2 nanoparticles (NPs) might be released into the aquatic environment. In this paper, the interaction of CeO2 NPs and Ce3+ ions (0~10 mg/L) with duckweed (Lemna minor L.) was investigated. CeO2 NPs sign
Externí odkaz:
https://doaj.org/article/09bdf03c14cf4ae9a7070afa5b8ac3d0
Autor:
Yuanyuan Wang, Naiang Wang, Xuepeng Zhao, Xueran Liang, Jiang Liu, Ping Yang, Yipeng Wang, Yixin Wang
Publikováno v:
Remote Sensing, Vol 14, Iss 6, p 1422 (2022)
Cultural diffusion is one of the core issues among researchers in the field of cultural geography. This study aimed to examine the spatial diffusion patterns of the Qijia culture (QJC) to clarify the origin and formation process of Chinese field mode
Externí odkaz:
https://doaj.org/article/0cc1db24d31e4e32b113bf149873cc41
Publikováno v:
IET Computer Vision, Vol 12, Iss 4, Pp 453-457 (2018)
Feature point detection based on convolutional neural network (CNN) has been studied widely. The effective approaches for improving detection accuracy are building a deeper network or using a multi‐network cascade structure. However, some potential
Externí odkaz:
https://doaj.org/article/4d0ead4fa394451a9f5e9385af55dc52
Autor:
Chunning Meng, Xuepeng Zhao
Publikováno v:
IEEE Access, Vol 5, Pp 19581-19587 (2017)
Due to its low price, webcam has become one of the most promising sensors with the rapid development of computer vision. However, the accuracies of eye tracking and eye movement analysis are largely limited by the quality of the webcam videos. To sol
Externí odkaz:
https://doaj.org/article/f656b46d522c4593a706d347ba3fe058
Publikováno v:
Remote Sensing, Vol 12, Iss 5, p 823 (2020)
Long-term satellite climate data records (CDRs) of clouds and aerosols are used to investigate the aerosol indirect effect (AIE) of cirrus clouds over the global oceans from a climatology perspective. Our study focuses on identifying the sensitive re
Externí odkaz:
https://doaj.org/article/7e4e13a480ce41e2900778b30e03a126
Publikováno v:
Remote Sensing, Vol 12, Iss 4, p 590 (2020)
Sea Surface Temperature (SST) is an essential climate variable (ECV) for monitoring the state and detecting changes in the climate. The concept of ECVs, developed by the Global Climate Observing System (GCOS) program of the World Meteorological Organ
Externí odkaz:
https://doaj.org/article/7fb7c4cee04648b0b53d33f43c63bb6d
Autor:
Xuepeng Zhao
Publikováno v:
Advances in Meteorology, Vol 2015 (2015)
Nearly 30-year aerosol optical thickness (AOT) climate data record (CDR) derived from the operational satellite observations of National Ocean and Atmospheric Administration (NOAA) Advanced Very High Resolution Radiometer (AVHRR) is used to study the
Externí odkaz:
https://doaj.org/article/ddc5d267d823470a9ad1c5d842810854
Publikováno v:
Remote Sensing, Vol 8, Iss 4, p 331 (2016)
This review paper discusses how to develop, produce, sustain, and serve satellite climate data records (CDRs) in the context of transitioning research to operation (R2O). Requirements and critical procedures of producing various CDRs, including Funda
Externí odkaz:
https://doaj.org/article/44e35f0b3b934ce5adef6a3215026af5
Publikováno v:
Remote Sensing, Vol 8, Iss 4, p 300 (2016)
Satellite aerosol and cloud climate data records (CDRs) have been used successfully to study the aerosol indirect effect (AIE). Data from the Advanced Very High Resolution Radiometer (AVHRR) now span more than 30 years and allow these studies to be c
Externí odkaz:
https://doaj.org/article/c54768b863014d4895d244647e79da57