Research advances of SAR remote sensing for agriculture applications: A review

C Liu, ZX Chen, S Yun, J Chen, T Hasi… - Journal of integrative …, 2019 - Elsevier
Synthetic aperture radar (SAR) is an effective and important technique in monitoring crop
and other agricultural targets because its quality does not depend on weather conditions …

Estimating soil moisture over winter wheat fields during growing season using machine-learning methods

L Chen, M Xing, B He, J Wang, J Shang… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
Soil moisture is vital for the crop growth and directly affects the crop yield. The conventional
synthetic aperture radar (SAR) based soil moisture monitoring is often influenced by …

Soil moisture retrieval over agricultural fields from L-band multi-incidence and multitemporal PolSAR observations using polarimetric decomposition techniques

H Shi, L Zhao, J Yang, JM Lopez-Sanchez… - Remote Sensing of …, 2021 - Elsevier
Surface soil moisture (SM) retrieval over agricultural areas from polarimetric synthetic
aperture radar (PolSAR) has long been restricted by vegetation attenuation, simplified …

Model-Based Polarimetric SAR Decomposition: An L1 Regularization Approach

TL Ainsworth, Y Wang, JS Lee - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Model-based polarimetric decompositions are often used to generate scene classifications
from polarimetric synthetic aperture radar (POLSAR) imagery. The classification quality …

Soil moisture estimation over vegetated agricultural areas: Tigris Basin, Turkey from Radarsat-2 data by polarimetric decomposition models and a generalized …

MS Özerdem, E Acar, R Ekinci - Remote Sensing, 2017 - mdpi.com
Determining the soil moisture in agricultural fields is a significant parameter to use irrigation
systems efficiently. In contrast to standard soil moisture measurements, good results might …

Synthetic aperture radar (SAR) compact polarimetry for soil moisture retrieval

A Merzouki, H McNairn, J Powers, M Friesen - Remote Sensing, 2019 - mdpi.com
Soil moisture is a factor for risk analysis in the agricultural sector, yet access to temporally
and spatially detailed data is challenging for much of the world's agricultural extend …

Evaluation of Gaofen-3 C-Band SAR for soil moisture retrieval using different polarimetric decomposition models

L Zhang, Q Meng, J Zeng, X Wei… - IEEE Journal of Selected …, 2021 - ieeexplore.ieee.org
Soil moisture is a key parameter affecting crop growth. Gaofen-3 satellite is the first C-band
synthetic aperture radar produced by China, which provides full-polarization data sources …

Machine learning based regression model for prediction of soil surface humidity over moderately vegetated fields

A Emrullah, MS OZERDEM… - 2019 8th International …, 2019 - ieeexplore.ieee.org
The soil surface humidity parameter over vegetated fields is of great importance for
controlling water consumption; prevention of salinity caused by over-irrigation; efficient use …

On the use of generalized volume scattering models for the improvement of general polarimetric model-based decomposition

Q Xie, JD Ballester-Berman, JM Lopez-Sanchez, J Zhu… - Remote Sensing, 2017 - mdpi.com
Recently, a general polarimetric model-based decomposition framework was proposed by
Chen et al., which addresses several well-known limitations in previous decomposition …

Soil moisture retrieval over crop fields based on two-component polarimetric decomposition: a comparison of generalized volume scattering models

Q Dou, Q Xie, X Peng, K Lai, J Wang… - Journal of …, 2022 - Elsevier
Abstract Model-based polarimetric decomposition can separate to some extent the
backscattered radar signals from the vegetation canopy and the underlying ground, hence …