Zobrazeno 1 - 10
of 870
pro vyhledávání: '"reflectometry (GNSS-R)"'
Autor:
Paulo Setti, Sajad Tabibi
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 663-679 (2025)
Soil moisture, an essential climate variable, is traditionally retrieved on large scales using passive or active microwave sensors, with temporal resolution of 2–3 days and no less than 6 days, respectively. Global navigation satellite system-refle
Externí odkaz:
https://doaj.org/article/4f0da95d9aee4c81ac8fb20f7e9fa7df
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 413-423 (2025)
The potential of spaceborne global navigation satellite system reflectometry (GNSS-R) to retrieve a variety of geophysical parameters has already been demonstrated in numerous studies. In 2021, China successfully launched the Fengyun-3E (FY-3E) polar
Externí odkaz:
https://doaj.org/article/f9ee8f224ddf4da0b51a3bd99331971b
Publikováno v:
Satellite Navigation, Vol 5, Iss 1, Pp 1-17 (2024)
Abstract Spaceborne global navigation satellite system-reflectometry has become an effective technique for Soil Moisture (SM) retrieval. However, the accuracy of global SM retrieval using a single model is limited due to the complexity of land surfac
Externí odkaz:
https://doaj.org/article/27b01fb8637e4f7dabafa50ea95ceb0e
Autor:
Emanuele Santi, Davide Comite, Laura Dente, Leila Guerriero, Nazzareno Pierdicca, Maria Paola Clarizia, Nicolas Floury
Publikováno v:
Science of Remote Sensing, Vol 10, Iss , Pp 100177- (2024)
The potential of GNSS reflectometry (GNSS-R) for the monitoring of soil and vegetation parameters as soil moisture (SM) and forest aboveground biomass (AGB) has been largely investigated in recent years.In view of the ESA's HydroGNSS mission, planned
Externí odkaz:
https://doaj.org/article/9a535295c09346eca7d204b8e02ce902
Publikováno v:
GIScience & Remote Sensing, Vol 61, Iss 1 (2024)
The estimation of soil moisture (SM) utilizing the data from the Cyclone Global Navigation Satellite System (CYGNSS) has attracted significant interest in recent times. However, CYGNSS’ inherent capability of variable resolution has not been fully
Externí odkaz:
https://doaj.org/article/b0ad1af127b54667b8c67ac5173aa757
Publikováno v:
Geo-spatial Information Science, Pp 1-15 (2024)
The uncertainties in microwave land surface emissivity (MLSE) measurements have long limited the use of spaceborne microwave radiometer data. As an emerging observation method, Global Navigation Satellite System Reflectometry (GNSS-R) has demonstrate
Externí odkaz:
https://doaj.org/article/5d8cecf118664240a4fb403ce7b19529
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
Autor:
Yuhan Chen, Qingyun Yan
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 133, Iss , Pp 104122- (2024)
Cyclone Global Navigation Satellite System (CyGNSS) data are widely recognized for their sensitivity to inland water bodies. However, the detection of water bodies using single CyGNSS data is subject to uncertainties, presenting challenges for large-
Externí odkaz:
https://doaj.org/article/ce9890b65ea54f9eaa954e91030cbd73
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 18235-18246 (2024)
Snow depth monitoring is crucial for hydrology, climate research, and avalanche prediction. While traditional global navigation satellite system (GNSS) reflectometer methods offer cost-effective snow thickness retrieval, they suffer from poor accurac
Externí odkaz:
https://doaj.org/article/00253e5eb2d24badb00473379c9e135a
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 18025-18037 (2024)
The global navigation satellite system reflectometry (GNSS-R) technology has shown significant potential in retrieving snow depth using signal-to-noise ratio (SNR) data. However, compared to traditional in situ snow depth measurement techniques, we h
Externí odkaz:
https://doaj.org/article/477361cf824443a0a8dc8298a81972e4