Soil moisture retrieval under wheat crop using RISAT-1 hybrid polarimetric SAR data

The study aims to retrieve soil moisture from RISAT-1 hybrid polarimetric SAR data. Although the use of linear polarimetric SAR data has been well understood and documented, but hybrid polarimetric SAR data is grossly under explored and under reported for this purpose. Regression analysis has been carried to develop soil moisture retrieval models and validated the same. The retrieval models have been developed from back scattering coefficients (RH & RV) and m- space decomposition parameters (even bounce, odd bounce, and volume component) generated from RISAT-1 hybrid polarimetric SAR data. A total of three models are analyzed in this work, (i) using both RH &RV, (ii) volume component, and (iii) using even bounce, odd bounce and volume component. The study results showed that the model using m- decomposition derived parameters can provide better accuracy with R2 and RMSE of 0.92 and 2.45 per cent respectively in comparison to other two models.

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Estimation and analysis soil moisture of hunshandake sandy land from polarimetric SAR data

2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) ◽

10.1109/igarss.2017.8127381 ◽

2017 ◽

Cited By ~ 1

Author(s):

Chi Wang ◽

Pingping Huang ◽

Ritu Su ◽

Weixian Tan

Keyword(s):

Soil Moisture ◽

Sandy Land ◽

Polarimetric Sar ◽

Sar Data

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Potential of soil moisture estimation using C-band polarimetric SAR data in arid regions

International Journal of Remote Sensing ◽

10.1080/01431161.2018.1516320 ◽

2018 ◽

Vol 40 (5-6) ◽

pp. 2138-2150 ◽

Cited By ~ 3

Author(s):

Liping Yang ◽

Xiaodong Feng ◽

Fei Liu ◽

Jing Liu ◽

Xiaohui Sun

Keyword(s):

Soil Moisture ◽

Arid Regions ◽

Polarimetric Sar ◽

Sar Data ◽

Moisture Estimation

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Downscaling SMAP soil moisture using radarsat constellation mission (RCM) compact polarimetric SAR data: A case study in southern Ontario

10.4095/321102 ◽

2020 ◽

Author(s):

J Li ◽

S Wang ◽

H A J Russell

Keyword(s):

Soil Moisture ◽

Polarimetric Sar ◽

Southern Ontario ◽

Sar Data

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Sensitivity of Main Polarimetric Parameters of Multifrequency Polarimetric SAR Data to Soil Moisture and Surface Roughness Over Bare Agricultural Soils

IEEE Geoscience and Remote Sensing Letters ◽

10.1109/lgrs.2012.2220333 ◽

2013 ◽

Vol 10 (4) ◽

pp. 731-735 ◽

Cited By ~ 18

Author(s):

N. Baghdadi ◽

P. Dubois-Fernandez ◽

X. Dupuis ◽

M. Zribi

Keyword(s):

Surface Roughness ◽

Soil Moisture ◽

Agricultural Soils ◽

Polarimetric Sar ◽

Sar Data

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Soil Moisture Estimation Using Hybrid Polarimetric SAR Data of RISAT-1

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2015.2494860 ◽

2016 ◽

Vol 54 (4) ◽

pp. 2033-2049 ◽

Cited By ~ 24

Author(s):

G. G. Ponnurangam ◽

Thomas Jagdhuber ◽

Irena Hajnsek ◽

Y. S. Rao

Keyword(s):

Soil Moisture ◽

Polarimetric Sar ◽

Sar Data ◽

Moisture Estimation

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Soil moisture inversion from polarimetric SAR data using three‐scale model

Electronics Letters ◽

10.1049/el.2013.0727 ◽

2013 ◽

Vol 49 (17) ◽

pp. 1094-1096

Author(s):

J. Yan ◽

Y. Li ◽

Q. Yin ◽

W. Hong

Keyword(s):

Soil Moisture ◽

Scale Model ◽

Polarimetric Sar ◽

Sar Data ◽

Soil Moisture Inversion

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Orientation Angle Calibration for Bare Soil Moisture Estimation Using Fully Polarimetric SAR Data

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2011.2158583 ◽

2011 ◽

Vol 49 (12) ◽

pp. 4987-4996 ◽

Cited By ~ 8

Author(s):

Xinyi Shen ◽

Yang Hong ◽

Qiming Qin ◽

Weilin Yuan ◽

Sheng Chen ◽

...

Keyword(s):

Soil Moisture ◽

Orientation Angle ◽

Bare Soil ◽

Polarimetric Sar ◽

Sar Data ◽

Moisture Estimation

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POTENTIAL OF C-BAND HYBRID POLARIMETRIC RISAT-1 SAR DATA FOR WHEAT CROP HEIGHT ESTIMATION

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-archives-xlii-3-w6-637-2019 ◽

2019 ◽

Vol XLII-3/W6 ◽

pp. 637-641

Author(s):

H. S. Srivastava ◽

T. Sivasankar

Keyword(s):

Crop Insurance ◽

Irrigation Management ◽

Important Application ◽

Stokes Parameters ◽

Wheat Crop ◽

Growth Monitoring ◽

Polarimetric Sar ◽

Sar Data ◽

Moisture Estimation ◽

Higher Sensitivity

Abstract. The advancement of hybrid polarimetry and the launch of Radar Imaging SATellite-1 (RISAT-1), the first Earth observing satellite with capability to acquire hybrid polarimetric SAR data, have given opportunity to explore the potentials of this data for various geo-spatial applications. Among these, crop growth monitoring and soil moisture estimation is one of the important application for proper irrigation management, yield forecasting and crop insurance systems. The objective of this paper is to provide a better understanding of the sensitivity of RISAT-1 hybrid polarimetric SAR data for wheat height. However, backscattering coefficients have shown less sensitive towards wheat height, polarimetric parameters such as Stokes parameters and scattering decomposition parameters have shown higher sensitivity. The analysis observed the highest correlation coefficient (|r|) and lowest RMSE (in m) for g3 with 0.61 and 0.18 respectively followed by odd bounce with 0.59 and 0.2 respectively.

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