Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Qinting Sun"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 4866-4878 (2021)
Thermal infrared (TIR) remote sensing is an important technology for detecting geothermal anomalies. However, detection results have been found to have a certain dependency on the distribution of ground objects and imaging conditions at different tim
Externí odkaz:
https://doaj.org/article/114ca8195fc94264a4aa40a2f04d8fe4
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 3317-3326 (2020)
With a gradually rising global average sea level, it is of great significance to predict changes in the sea level. However, sea level variations often exhibit both linear and nonlinear characteristics, complicating the prediction of sea level changes
Externí odkaz:
https://doaj.org/article/9454cd42a8cd4e7aaa5dc542c4ae461d
Publikováno v:
Frontiers in Earth Science, Vol 9 (2021)
The purpose of this paper is to analyze the influence of satellite altimetry data accuracy on the marine gravity anomaly accuracy. The data of 12 altimetry satellites in the research area (5°N–23°N, 105°E–118°E) were selected. These data were
Externí odkaz:
https://doaj.org/article/a5e05500069146d8a2accf957c0fea27
Publikováno v:
Polar Science. 36:100940
The Greenland ice sheet melting status is critical for global sea level rise and climate change. Based on the CryoSat-2 altimetry data from 2011 to 2021, the 5 km × 5 km DEMs of the Greenland ice sheet were derived by adopting the kriging interpolat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::84a1a12ffd1c61a5c522121dec39c989
http://id.nii.ac.jp/1291/00017259/
http://id.nii.ac.jp/1291/00017259/
Publikováno v:
Scientific Programming, Vol 2021 (2021)
The South China Sea is China’s largest marginal sea area, and it is rich in oil and gas mineral resources; thus, estimating its sea level changes is of practical significance. Based on linear and nonlinear sea level change characteristics, this pap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27908bfd034d5014be4c4dc3cbd1a323
https://doi.org/10.1155/2021/6618135
https://doi.org/10.1155/2021/6618135
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 3317-3326 (2020)
With a gradually rising global average sea level, it is of great significance to predict changes in the sea level. However, sea level variations often exhibit both linear and nonlinear characteristics, complicating the prediction of sea level changes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9fa76f925998f7e7542952d86478532b
https://ieeexplore.ieee.org/document/9104881/
https://ieeexplore.ieee.org/document/9104881/
Publikováno v:
Frontiers in Earth Science, Vol 9 (2021)
The purpose of this paper is to analyze the influence of satellite altimetry data accuracy on the marine gravity anomaly accuracy. The data of 12 altimetry satellites in the research area (5°N–23°N, 105°E–118°E) were selected. These data were
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72193f00b07c27252c2b7e25bfce4a79
https://doi.org/10.3389/feart.2021.730777
https://doi.org/10.3389/feart.2021.730777
Publikováno v:
Journal of the Indian Society of Remote Sensing. 46:1939-1947
The characteristics of sea-level change in the China Sea and its vicinity are studied by combining TOPEX/Poseidon (T/P), Jason-1, Jason-2, and Jason-3 altimeter data. First, the sea-surface height is computed by using monthly data via collinear adjus
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::76d82b49c5c5d72259c0faa2682f02cf
https://doi.org/10.1007/s12524-018-0857-0
https://doi.org/10.1007/s12524-018-0857-0
Publikováno v:
IGARSS
In this paper the quality of Jason-3 data was evaluated based on Jason-2 GDR data in the tandem stages. The percentage of data loss and data edition and the daily mean changes of the main physical parameters are calculated for each cycle. The sea sur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2698df2c83c6aed638f594e05299480b
https://doi.org/10.1109/igarss.2019.8897875
https://doi.org/10.1109/igarss.2019.8897875
Publikováno v:
IGARSS
The sea level rise rate of the China Sea and its vicinity is 4.16 mm/a based on the altimeter data of TOPEX/Poseidon, Jason-1, Jason-2 and Jason-3 satellites. Then the sea level time series are denoised by Morlet wavelet transform. And the multi-time
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c4f1315fddcde6e21067d467c772518b
https://doi.org/10.1109/igarss.2019.8897945
https://doi.org/10.1109/igarss.2019.8897945