Zobrazeno 1 - 10
of 247
pro vyhledávání: '"cyclone global navigation satellite system (CYGNSS)"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 13047-13076 (2024)
Spaceborne global navigation satellite system reflectometry (GNSS-R) is an emerging remote sensing technology that utilizes Earth surface reflections of GNSS signals to monitor geophysical parameters. With its unique advantages of high spatiotemporal
Externí odkaz:
https://doaj.org/article/b93c0cf1820b41629fde2a1a09e22210
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 12554-12566 (2024)
Global Navigation System Reflectometry (GNSS-R) is a microwave remote sensing technology that enables Earth observation by receiving GNSS signals reflected from the Earth's surface. The Cyclone Global Navigation Satellite System (CYGNSS) constellatio
Externí odkaz:
https://doaj.org/article/75d7089e19d64143aa4bea40414f05ca
Autor:
April M. Warnock, Christopher S. Ruf, Anthony Russel, Mohammad M. Al-Khaldi, Rajeswari Balasubramaniam
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 6189-6200 (2024)
A new wind speed product has been developed using bistatic radar data from NASA's Cyclone Global Navigation Satellite System (CYGNSS) mission. The product addresses shortcomings in two existing CYGNSS gridded wind speed products, the L3 gridded fully
Externí odkaz:
https://doaj.org/article/37d57f110489426e8db58852bd8f4cb2
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 8397-8408 (2024)
Qinghai Lake, the largest inland saltwater lake in China, is an important water body that maintains the ecological security of the northeastern Tibetan Plateau. Global navigation satellite system reflectometry technology (GNSS-R) is rarely used in la
Externí odkaz:
https://doaj.org/article/e8f3e92a89b0411db32ba16b27ba7bb5
Autor:
Paulo T. Setti, Sajad Tabibi
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 6658-6670 (2024)
The Amazon basin, one of the world's largest and most vital ecosystems, presents a formidable challenge for accurately mapping its extensive surface water extent and dynamic seasonal and long-term variations. This challenge arises from the region's d
Externí odkaz:
https://doaj.org/article/fecf2403f0eb4df79b322402cf3f4865
Autor:
Younghun Kang, Ethan Kubatko, Mohammad M. Al-Khaldi, Joel T. Johnson, Suranjan Nepal, Aaron Sines
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 3791-3798 (2024)
This work assesses the impact of the Cyclone Global Navigation Satellite System (CYGNSS) (full delay-Doppler map) informed wind fields on storm surge simulations using the constellation's storm observations. In order to assess the impact of the CYGNS
Externí odkaz:
https://doaj.org/article/feb7443892be4d33aaf78e52a98c3cfd
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 3226-3235 (2024)
The correction of sea surface brightness temperature is crucial for improving the accuracy of sea surface salinity (SSS) retrieval by L-band microwave radiometer. However, the traditional method of correcting brightness temperature using only wind sp
Externí odkaz:
https://doaj.org/article/a8844de21cab4e67a0d78403d8420e01
Publikováno v:
GIScience & Remote Sensing, Vol 61, Iss 1 (2024)
ABSTRACTThe 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 bee
Externí odkaz:
https://doaj.org/article/b0ad1af127b54667b8c67ac5173aa757
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 128, Iss , Pp 103777- (2024)
Landscape freeze–thaw (F/T) state parameters are an integral part of research on terrestrial hydrological processes, vegetation growth dynamics, and terrestrial–atmospheric trace gas exchange. Therefore, the development of large-scale, continuous
Externí odkaz:
https://doaj.org/article/ad69d54c836647a59014ac30ba4a8f5a
Publikováno v:
Remote Sensing, Vol 16, Iss 15, p 2793 (2024)
Vegetation water content (VWC) is a crucial parameter for evaluating vegetation growth, climate change, natural disasters such as forest fires, and drought prediction. Spaceborne global navigation satellite system reflectometry (GNSS-R) has become a
Externí odkaz:
https://doaj.org/article/59f2e75937614e7b8da3f8b7688eb714