Modeling of the GNSS-R signal as a function of soil moisture and vegetation biomass-Reference-Cited by-同舟云学术

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Modeling of the GNSS-R signal as a function of soil moisture and vegetation biomass

Published:2013-07 Issue: Volume: Page:
ISSN:
Container-title:2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS
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Author:

Guerriero L.,Pierdicca N.,Egido A.,Caparrini M.,Paloscia S.,Santi E.,Floury N.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/6704876/6721065/06723722.pdf?arnumber=6723722

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Polarimetric Features of GNSS-R Signal Over Land: A Simulation Study;IEEE Transactions on Geoscience and Remote Sensing;2024

2. Evaluation of Spire GNSS-R reflectivity from multiple GNSS constellations for soil moisture estimation;International Journal of Remote Sensing;2023-10-18

3. Modeling GNSS-R Coherent Scattering from Surface Waters with Wind, Waves, and Vegetation;IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium;2022-07-17

4. Retrieval of Biogeophysical Parameters From Bistatic Observations of Land at L-Band: A Theoretical Study;IEEE Transactions on Geoscience and Remote Sensing;2022

5. GNSS-R Soil Moisture Retrieval Based on a XGboost Machine Learning Aided Method: Performance and Validation;Remote Sensing;2019-07-11

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