Zobrazeno 1 - 10
of 69
pro vyhledávání: '"Qimin He"'
Publikováno v:
Remote Sensing, Vol 16, Iss 15, p 2752 (2024)
Affected by geological factors, the scale of surface deformation in a hilly semi-desertification mining area varies. Meanwhile, there is certain dense vegetation on the ground, so it is difficult to construct a high-precision and complete image of a
Externí odkaz:
https://doaj.org/article/78f5e32d642a47b990245d54d7efcc83
Autor:
Dajun Lian, Qimin He, Li Li, Kefei Zhang, Erjiang Fu, Guangyan Li, Rui Wang, Biqing Gao, Kangming Song
Publikováno v:
Remote Sensing, Vol 15, Iss 13, p 3247 (2023)
Precipitable water vapor (PWV) is an important meteorological factor for predicting extreme weather events such as tropical cyclones, which can be obtained from zenith tropospheric delay (ZTD) by using a conversion. A time difference of ZTD arrival (
Externí odkaz:
https://doaj.org/article/03b948a8cd60435dade2318c6115c37c
Publikováno v:
IEEE Access, Vol 8, Pp 90718-90729 (2020)
Slope stability analysis based on the deformation monitoring data has been commonly used to predict and warn slope disasters. However, due to breakdown of the monitoring equipment or restrictions and interferences of internal and external factors in
Externí odkaz:
https://doaj.org/article/dbd883674ac24a15b685706f2771473d
Publikováno v:
IEEE Access, Vol 8, Pp 87275-87290 (2020)
Tropical cyclones (TCs) are intense rotating storm systems, characterized by strong winds, heavy humidity and storm surges, and usually cause an abnormal increase in regional water vapor during the period of their occurrence. Global navigation satell
Externí odkaz:
https://doaj.org/article/5d86091ee1b94644b85529ebfa5752a2
Publikováno v:
Atmosphere, Vol 13, Iss 10, p 1648 (2022)
Compared to the zenith hydrostatic delay (ZHD) obtained from the Saastamonien model based on in-situ measured meteorological (IMM) data and radiosonde-derived weighted mean temperature (Tm), the ZHD and Tm deviations of the GPT3 model have shown obvi
Externí odkaz:
https://doaj.org/article/89215417d51e44e692019dd92d4bea38
Publikováno v:
Remote Sensing, Vol 14, Iss 8, p 1909 (2022)
Precipitable water vapor can be estimated from the Global Navigation Satellite System (GNSS) signal’s zenith wet delay (ZWD) by multiplying a conversion factor, which is a function of weighted mean temperature (Tm) over the GNSS station. Obtaining
Externí odkaz:
https://doaj.org/article/b11fb49a73d44a409412e34c83ab00a9
Publikováno v:
Remote Sensing, Vol 14, Iss 2, p 299 (2022)
For the accurate and high-precision measurement of the deformation field in mining areas using different data sources, the probability integral model was used to process deformation data obtained from an Unmanned Aerial Vehicle (UAV), Differential In
Externí odkaz:
https://doaj.org/article/9c72b503fe99492092ad8fb74c13abb9
Publikováno v:
Remote Sensing, Vol 13, Iss 12, p 2278 (2021)
Atmospheric data obtained from the radio occultation (RO) technique are a well-recognized source of information for weather and climate studies. From the Challenging Minisatellite Payload (CHAMP) mission launched in July 2000 to the most recent Const
Externí odkaz:
https://doaj.org/article/f11a0006f0a24ea795da6044fe1a23d3
Autor:
Qimin He, Kefei Zhang, Suqin Wu, Qingzhi Zhao, Xiaoming Wang, Zhen Shen, Longjiang Li, Moufeng Wan, Xiaoyang Liu
Publikováno v:
Remote Sensing, Vol 12, Iss 1, p 104 (2019)
Typhoons can be serious natural disasters for the sustainability and development of society. The development of a typhoon usually involves a pre-existing weather disturbance, warm tropical oceans, and a large amount of moisture. This implies that a l
Externí odkaz:
https://doaj.org/article/8d5400406d30454ab964b6d4c494a9e4
Publikováno v:
Analytical Cellular Pathology, Vol 23, Iss 1, Pp 11-19 (2001)
The cytosolic thymidine kinase 1 (TK1) is one of the enzymes involved in DNA replication. Based on biochemical studies, TK1 is activated at late G1 of cell cycle, and its activity correlates with the cell proliferation. We have developed a polyclonal
Externí odkaz:
https://doaj.org/article/3d0f7b9a0a704eb7abecbb508092bb10