A Spatially Constrained Multichannel Algorithm for Inversion of a First-Order Microwave Emission Model at L-Band-Reference-Cited by-同舟云学术

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A Spatially Constrained Multichannel Algorithm for Inversion of a First-Order Microwave Emission Model at L-Band

Published:2020-11 Issue:11 Volume:58 Page:8134-8146
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Gao Lun^ORCID,Sadeghi Morteza^ORCID,Feldman Andrew F.^ORCID,Ebtehaj Ardeshir^ORCID

Funder

Terrestrial Hydrology Program (THP) through Dr. J. Entin

Future Investigators in NASA Earth and Space Science and Technology Program (FINESST) Through Dr. A. Leidner

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/9240120/09079480.pdf?arnumber=9079480

Cited by 12 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. A novel AMSR2 retrieval algorithm for global C-band vegetation optical depth and soil moisture (AMSR2 IB): Parameters' calibration, evaluation and inter-comparison;Remote Sensing of Environment;2024-11

2. First mapping of polarization-dependent vegetation optical depth and soil moisture from SMAP L-band radiometry;Remote Sensing of Environment;2024-03

3. Dynamic Vegetation Parameter Retrieval Algorithm for Smap L-Band Radiometer Observations;2024

4. Improved estimation of vegetation water content and its impact on L-band soil moisture retrieval over cropland;Journal of Hydrology;2023-02

5. Error and uncertainty characterization of soil moisture and VOD retrievals obtained from L-band SMAP radiometer;Remote Sensing of Environment;2022-10

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