Soil Moisture Variation Impact on Decorrelation Phase Estimated by Sentinel-1 Insar Data-Reference-Cited by-同舟云学术

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Soil Moisture Variation Impact on Decorrelation Phase Estimated by Sentinel-1 Insar Data

Published:2022-07-17 Issue: Volume: Page:
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Container-title:IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Mira Nuno Cirne¹,Catalao Joao²,Nico Giovanni³

Affiliation:

1. CINAMIL, Academia Militar, Av. Conde Castro Guimarães,Amadora,Portugal

2. Instituto Dom Luiz (IDL), Faculdade de Ciencias, Universidade de Lisboa,Lisboa,Portugal,1749–016

3. Istituto per le Applicazioni del Calcolo (IAC), Consiglio Nazionale delle Ricerche (CNR),Bari,Italy,70126

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9883023/9883024/09883817.pdf?arnumber=9883817

Reference8 articles.

1. Observing Soil Moisture Change Using C-Band Interferometry using Machine Learning Regression

2. Mapping small elevation changes over large areas: Differential radar interferometry

3. Soil Moisture Estimation Using Differential Radar Interferometry: Toward Separating Soil Moisture and Displacements

4. A SAR Interferometric Model for Soil Moisture

5. An Algorithm for Estimating and Correcting Decorrelation Phase From InSAR Data Using Closure Phase Triplets

Cited by 2 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. On the Relationship Between C-Band Decorrelation Phase and the Vegetation Water Content Temporal Change;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

2. Fine-Resolution Measurement of Soil Moisture From Cumulative InSAR Closure Phase;IEEE Transactions on Geoscience and Remote Sensing;2024

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