SMAP Science and Application Results-Reference-Cited by-同舟云学术

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SMAP Science and Application Results

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

Entekhabi Dara¹,Yueh Simon H.²,Bindlish Rajat³,Entin Jared K.⁴,Garcia Mark D.²

Affiliation:

1. Massachusetts Institute of Technology,Department of Civil and Environmental Engineering,Cambridge,MA,USA

2. California Institute of Technology,Jet Propulsion Laboratory,Pasadena,CA,USA

3. NASA Goddard Space Flight Center,Greenbelt,MD,USA

4. NASA Headquarters,Washington,DC,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9883023/9883024/09884333.pdf?arnumber=9884333

Reference69 articles.

1. Multi-layer high-resolution soil moisture estimation using machine learning over the United States

2. A Hybrid Artificial Neural Network to Estimate Soil Moisture Using SWAT+ and SMAP Data

3. Investigating the Response of Temperature and Salinity in the Agulhas Current Region to ENSO Events

4. Sea Surface Salinity Response to Tropical Cyclones Based on Satellite Observations

5. Using Saildrones to Validate Arctic Sea-Surface Salinity from the SMAP Satellite and from Ocean Models

Cited by 1 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. Satellite Oceanography in NOAA: Research, Development, Applications, and Services Enabling Societal Benefits from Operational and Experimental Missions;Remote Sensing;2024-07-20

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