Výsledky vyhledávání - "global navigation satellite system (gnss) reflectometry"

Akademický článek

Deep Learning-Based Soil Moisture Retrieval in CONUS Using CYGNSS Delay–Doppler Maps

Autor: M M Nabi, Volkan Senyurek, Ali C. Gurbuz, Mehmet Kurum

Publikováno v: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 6867-6881 (2022)

National Aeronautics and Space Administration's Cyclone Global Navigation Satellite System (CYGNSS) mission has gained significant attention within the land remote sensing community for estimating soil moisture (SM) by using the Global Navigation Sys

Externí odkaz: https://doaj.org/article/c43c99f805ca4550bd6b8f832354e5b4

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Akademický článek

First Precise Spaceborne Sea Surface Altimetry With GNSS Reflected Signals

Autor: Estel Cardellach, Weiqiang Li, Antonio Rius, Maximilian Semmling, Jens Wickert, Florian Zus, Christopher S. Ruf, Carlo Buontempo

Publikováno v: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 102-112 (2020)

The precision of sea surface altimetry using bistatically reflected signals of the Global Navigation Satellite System (GNSS) is typically one to two orders of magnitude worse than dedicated radar altimeters. However, when the scattering is coherent,

Externí odkaz: https://doaj.org/article/80cca50551984ca58b728c5f3ec99676

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Akademický článek

Wind Direction Estimation by Deconvolution of GNSS Delay–Doppler Maps: A Simulation Analysis

Autor: Generoso Giangregorio, Carmela Galdi, Maurizio di Bisceglie

Publikováno v: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 2409-2418 (2020)

Signatures of directional wind waves are discovered after deconvolution of delay-Doppler maps in Global Navigation Satellite System reflectometry from space. The simulation study and the proposed algorithm demonstrate that wind direction can be, in p

Externí odkaz: https://doaj.org/article/667b41a2de354d4693491742a12cffa3

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Akademický článek

Remote Sensing of Forest Biomass Using GNSS Reflectometry

Autor: Emanuele Santi, Simonetta Paloscia, Simone Pettinato, Giacomo Fontanelli, Maria Paola Clarizia, Davide Comite, Laura Dente, Leila Guerriero, Nazzareno Pierdicca, Nicolas Floury

Publikováno v: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 2351-2368 (2020)

In this study, the capability of Global Navigation Satellite System Reflectometry in evaluating forest biomass from space has been investigated by using data coming from the TechDemoSat-1 (TDS-1) mission of Surrey Satellite Technology Ltd. and from t

Externí odkaz: https://doaj.org/article/cb289bfcb983474db34a5eb0be324b8b

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Akademický článek

GNSS-R Soil Moisture Retrieval Based on a XGboost Machine Learning Aided Method: Performance and Validation

Autor: Yan Jia, Shuanggen Jin, Patrizia Savi, Yun Gao, Jing Tang, Yixiang Chen, Wenmei Li

Publikováno v: Remote Sensing, Vol 11, Iss 14, p 1655 (2019)

Global navigation satellite system (GNSS)-reflectometry is a type of remote sensing technology and can be applied to soil moisture retrieval. Until now, various GNSS-R soil moisture retrieval methods have been reported. However, there still exist som

Externí odkaz: https://doaj.org/article/f77bf57dca864b43ba98db5397c630dd

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Remote Sensing of Forest Biomass Using GNSS Reflectometry

Autor: Giacomo Fontanelli, Emanuele Santi, Leila Guerriero, Nicolas Floury, Nazzareno Pierdicca, Maria Paola Clarizia, Laura Dente, Davide Comite, Simone Pettinato, Simonetta Paloscia

Publikováno v: IEEE journal of selected topics in applied earth observations and remote sensing
13 (2020): 2351–2368. doi:10.1109/JSTARS.2020.2982993
info:cnr-pdr/source/autori:Santi, Emanuele; Paloscia, Simonetta; Pettinato, Simone; Fontanelli, Giacomo; Clarizia, Maria Paola; Comite, Davide; Dente, Laura; Guerriero, Leila; Pierdicca, Nazzareno; Floury, Nicolas/titolo:Remote Sensing of Forest Biomass Using GNSS Reflectometry/doi:10.1109%2FJSTARS.2020.2982993/rivista:IEEE journal of selected topics in applied earth observations and remote sensing (Print)/anno:2020/pagina_da:2351/pagina_a:2368/intervallo_pagine:2351–2368/volume:13
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 2351-2368 (2020)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::df068cc402840cdd17d9d22b280c9c1c
https://doi.org/10.1109/jstars.2020.2982993

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First Precise Spaceborne Sea Surface Altimetry With GNSS Reflected Signals

Autor: Maximilian Semmling, Weiqiang Li, Antonio Rius, Estel Cardellach, Carlo Buontempo, Jens Wickert, Christopher S. Ruf, Florian Zus

Publikováno v: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 102-112 (2020)
Digital.CSIC. Repositorio Institucional del CSIC
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::764e3c362c2a88033265cb04435c9b66
https://ieeexplore.ieee.org/document/8945180/

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Freeze¿Thaw Detection Over High-Latitude Regions by Means of GNSS-R Data

Autor: Davide Comite, Estel Cardellach, Kimmo Rautiainen, Juval Cohen, Nazzareno Pierdicca, Martin Unwin

Publikováno v: Digital.CSIC. Repositorio Institucional del CSIC
instname

Monitoring freeze/thaw variations of the Earth surfaces is of paramount importance for the study of biogeochemical processes and climate change. At present, the use of passive sensors is well established, but, very recently, some studies demonstrated

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5164ce7f81574173d27b40cc6fa5e9ae
http://hdl.handle.net/10261/269951

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