Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Zhizhou Guo"'
Autor:
Cheng Jing, Weiqiang Li, Wei Wan, Feng Lu, Xinliang Niu, Xiuwan Chen, Antonio Rius, Estel Cardellach, Serni Ribó, Baojian Liu, Zhizhou Guo, Yang Nan
Publikováno v:
Geo-spatial Information Science, Vol 27, Iss 3, Pp 638-652 (2024)
In this paper, we will conclude the results of Bufeng-1 (BF-1) A/B data processing, calibration workflow, and validation of the calibrated sea surface winds, land surface soil moisture, and sea surface height measurements. Since 2019, the BF-1 missio
Externí odkaz:
https://doaj.org/article/5394b37f4fe449fda3add86cbb7096ea
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 2, p 228 (2024)
This paper designed a Generative Adversarial Network (GAN)-based super-resolution framework for scatterometer ocean surface wind speed (OSWS) mapping. An improved GAN, WSGAN, was well-trained to generate high-resolution OSWS (~1/64 km) from low-resol
Externí odkaz:
https://doaj.org/article/731e564b4a5b4e9eb1fe0230bb86fe2e
Autor:
Zhizhou Guo, Baojian Liu, Wei Wan, Feng Lu, Xinliang Niu, Rui Ji, Cheng Jing, Weiqiang Li, Xiuwan Chen, Jun Yang, Zhaoguang Bai
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 4680-4689 (2022)
A new land surface clustering algorithm is developed to retrieve soil moisture (SM) using the Global Navigation Satellite System reflectometry (GNSS-R) technique. Data from the BuFeng-1 (BF-1) twin satellites A/B, a pilot mission for the Chinese GNSS
Externí odkaz:
https://doaj.org/article/9dfcfbc0a5404f5b98c69d3bd525e674
Autor:
Baojian Liu, Wei Wan, Zhizhou Guo, Rui Ji, Tsechun Wang, Guoqiang Tang, Yaokui Cui, Yang Hong
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 12163-12173 (2021)
In sea surface salinity (SSS) retrieval using L-band passive radiometry, radiometer-independent ocean wind speed is needed as auxiliary data. Wind speed data from scatterometer and weather models are commonly used as auxiliary data in satellite SSS m
Externí odkaz:
https://doaj.org/article/b1280c7c336d4c038c16360a78ba5814
Using GNSS-IR Snow Depth Estimation to Monitor the 2022 Early February Snowstorm over Southern China
Publikováno v:
Remote Sensing, Vol 14, Iss 18, p 4530 (2022)
Snow depth is an essential meteorological indicator for monitoring snow disasters. The Global Navigation Satellite System Interferometric Reflectometry (GNSS-IR) technique has been proven to be a practical approach to retrieving snow depth. This stud
Externí odkaz:
https://doaj.org/article/31efaed8e6294413b1f92412a6f6458d
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 60:1-14
Publikováno v:
GPS Solutions. 26
Autor:
Wei Wan, Jie Zhang, Liyun Dai, Hong Liang, Ting Yang, Baojian Liu, Zhizhou Guo, Heng Hu, Limin Zhao
The currently available long-term snow depth data sets are either from point-scale ground measurements or from gridded satellite/modeled/reanalysis data with coarse spatial resolution, which limits the applications in climate models, hydrological mod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f9d4fcf143b1ef9da25563c73fa2f6f
https://essd.copernicus.org/articles/14/3549/2022/
https://essd.copernicus.org/articles/14/3549/2022/
Autor:
Rui Ji, Baojian Liu, Zhizhou Guo, Guoqiang Tang, Wei Wan, Tsechun Wang, Yang Hong, Yaokui Cui
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 12163-12173 (2021)
In sea surface salinity (SSS) retrieval using L-band passive radiometry, radiometer-independent ocean wind speed is needed as auxiliary data. Wind speed data from scatterometer and weather models are commonly used as auxiliary data in satellite SSS m
Autor:
Wei Wan, Jie Zhang, Liyun Dai, Hong Liang, Baojian Liu, Zhizhou Guo, Heng Hu, Ting Yang, Limin Zhao
The currently available long-term snow depth data sets are either from point-scale ground measurements or from gridded satellite/modeled/reanalysis data with coarse spatial resolution, which limits the applications in climate model, hydrological mode
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6106d9fcf84de4b9b17cfcfa8009831a
https://essd.copernicus.org/preprints/essd-2021-432/
https://essd.copernicus.org/preprints/essd-2021-432/