A new method to inverse soil moisture based on thermal infrared and passive microwave remote sensing

Mapping Intimacies ◽

10.1117/12.2069373 ◽

2014 ◽

Author(s):

Zhuang Zhou ◽

Xiaokang Kou ◽

Shaojie Zhao ◽

Lingmei Jiang

Keyword(s):

Remote Sensing ◽

Soil Moisture ◽

Microwave Remote Sensing ◽

Thermal Infrared ◽

Passive Microwave ◽

New Method ◽

Passive Microwave Remote Sensing

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An intercomparison of available soil moisture estimates from thermal infrared and passive microwave remote sensing and land surface modeling

Journal of Geophysical Research Atmospheres ◽

10.1029/2011jd015633 ◽

2011 ◽

Vol 116 (D15) ◽

Cited By ~ 89

Author(s):

Christopher R. Hain ◽

Wade T. Crow ◽

John R. Mecikalski ◽

Martha C. Anderson ◽

Thomas Holmes

Keyword(s):

Remote Sensing ◽

Soil Moisture ◽

Land Surface ◽

Microwave Remote Sensing ◽

Thermal Infrared ◽

Surface Modeling ◽

Passive Microwave ◽

Passive Microwave Remote Sensing ◽

Land Surface Modeling ◽

Available Soil Moisture

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Quantifying Uncertainties in Passive Microwave Remote Sensing of Soil Moisture via a Bayesian Probabilistic Inversion Method

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2021.3123464 ◽

2021 ◽

pp. 1-1

Author(s):

Chufeng Ma ◽

Xin Li ◽

Shuguo Wang ◽

Zengyan Wang ◽

Tao Che ◽

...

Keyword(s):

Remote Sensing ◽

Soil Moisture ◽

Microwave Remote Sensing ◽

Passive Microwave ◽

Inversion Method ◽

Passive Microwave Remote Sensing ◽

Probabilistic Inversion

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Monitoring agricultural soil moisture extremes in Canada using passive microwave remote sensing

Remote Sensing of Environment ◽

10.1016/j.rse.2011.04.030 ◽

2011 ◽

Vol 115 (10) ◽

pp. 2434-2444 ◽

Cited By ~ 32

Author(s):

C. Champagne ◽

H. McNairn ◽

A.A. Berg

Keyword(s):

Remote Sensing ◽

Soil Moisture ◽

Agricultural Soil ◽

Microwave Remote Sensing ◽

Passive Microwave ◽

Passive Microwave Remote Sensing

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Passive microwave remote sensing for soil moisture retrieval on Tibetan Plateau, China

2011 19th International Conference on Geoinformatics ◽

10.1109/geoinformatics.2011.5981064 ◽

2011 ◽

Author(s):

Mengli Qin ◽

Ruofei Zhong ◽

Shu Wang

Keyword(s):

Remote Sensing ◽

Soil Moisture ◽

Tibetan Plateau ◽

Microwave Remote Sensing ◽

Passive Microwave ◽

Passive Microwave Remote Sensing

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Estimation of root zone soil moisture using passive microwave remote sensing: A case study for rice and wheat crops for three states in the Indo-Gangetic basin

Journal of Environmental Management ◽

10.1016/j.jenvman.2018.12.109 ◽

2019 ◽

Vol 234 ◽

pp. 75-89 ◽

Cited By ~ 3

Author(s):

Anudeep Sure ◽

Onkar Dikshit

Keyword(s):

Remote Sensing ◽

Soil Moisture ◽

Root Zone ◽

Microwave Remote Sensing ◽

Passive Microwave ◽

Passive Microwave Remote Sensing

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Effects of spatial distribution of soil parameters on soil moisture retrieval from passive microwave remote sensing

Science China Earth Sciences ◽

10.1007/s11430-011-4339-2 ◽

2012 ◽

Vol 55 (8) ◽

pp. 1313-1322 ◽

Cited By ~ 5

Author(s):

Tao Zhang ◽

LiXin Zhang ◽

LingMei Jiang ◽

ShaoJie Zhao ◽

TianJie Zhao ◽

...

Keyword(s):

Remote Sensing ◽

Spatial Distribution ◽

Soil Moisture ◽

Microwave Remote Sensing ◽

Passive Microwave ◽

Soil Parameters ◽

Passive Microwave Remote Sensing

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Research toward an operational passive microwave remote sensing system for soil moisture

Journal of Hydrology ◽

10.1016/0022-1694(88)90093-5 ◽

1988 ◽

Vol 102 (1-4) ◽

pp. 95-112 ◽

Cited By ~ 9

Author(s):

T.J. Jackson

Keyword(s):

Remote Sensing ◽

Soil Moisture ◽

Microwave Remote Sensing ◽

Passive Microwave ◽

Passive Microwave Remote Sensing ◽

Sensing System

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Survey of applications of passive microwave remote sensing for soil moisture in the U.S.S.R.

Eos ◽

10.1029/eo063i019p00497-01 ◽

1982 ◽

Vol 63 (19) ◽

pp. 497 ◽

Cited By ~ 5

Author(s):

Thomas J. Jackson

Keyword(s):

Remote Sensing ◽

Soil Moisture ◽

Microwave Remote Sensing ◽

Passive Microwave ◽

Passive Microwave Remote Sensing

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Merging two passive microwave remote sensing (SMOS and AMSR_E) datasets to produce a long term record of Soil Moisture

2014 IEEE Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2014.6946922 ◽

2014 ◽

Cited By ~ 1

Author(s):

A. Al-Yaari ◽

J.-P Wigneron ◽

A. Ducharne ◽

Y. Kerr ◽

P. de Rosnay ◽

...

Keyword(s):

Remote Sensing ◽

Soil Moisture ◽

Microwave Remote Sensing ◽

Passive Microwave ◽

Passive Microwave Remote Sensing

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Construction of Drought Indices Based on Passive Microwave Remote Sensing AMSR-E Data over Huaihe River Basin

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.433-435.1813 ◽

2013 ◽

Vol 433-435 ◽

pp. 1813-1816

Author(s):

Jing Wen Xu ◽

Peng Wang ◽

Jun Fang Zhao ◽

Shuang Liu

Keyword(s):

Remote Sensing ◽

Soil Moisture ◽

River Basin ◽

Microwave Remote Sensing ◽

Passive Microwave ◽

Impact Factors ◽

Drought Indices ◽

Huaihe River Basin ◽

Huaihe River ◽

Passive Microwave Remote Sensing

On the basis of previous work, this paper aims to build several proper drought indices based on the basic computation for the band information of passive microwave remote sensing AMSR-E data in Huaihe river basin. Compared with measured soil moisture, optimal drought indices have been selected to explore the spatio-temporal variation laws of drought conditions and its impact factors. The results indicate that there are satisfactory negative correlations between MPDIs (Microwave Polarization Difference Index) and observed soil moisture on the whole, which means the more negative the index is, the more serious the drought will be. Besides, MPDIs at frequency 69GHz and 187GHz calculated by AMSR-E brightness temperature data are much closer to the variation trend of soil moisture than those obtained from other bands.

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