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 …

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 …

1-km soil moisture retrieval using multi-temporal dual-channel SAR data from Sentinel-1 A/B satellites in a semi-arid watershed

Z Wang, T Zhao, J Shi, H Wang, D Ji, P Yao… - Remote Sensing of …, 2023 - Elsevier
Soil moisture is an important variable in agricultural and hydrological applications. Sentinel-
1 (A/B) satellite provides high-resolution (∼ 10 m) synthetic aperture radar data, and its high …

Fusion of moderate resolution earth observations for operational crop type mapping

N Torbick, X Huang, B Ziniti, D Johnson, J Masek… - Remote Sensing, 2018 - mdpi.com
Crop type inventory and within season estimates at moderate (< 30 m) resolution have been
elusive in many regions due to the lack of temporal frequency, clouds, and restrictive data …

Application of polarization signature to land cover scattering mechanism analysis and classification using multi-temporal C-band polarimetric RADARSAT-2 imagery

X Huang, J Wang, J Shang, C Liao, J Liu - Remote Sensing of Environment, 2017 - Elsevier
This paper presents a novel method of multi-temporal land cover classification based on the
polarization signature (PS). Additionally, the temporal change of the scattering mechanism …

Potential of a two-component polarimetric decomposition at C-band for soil moisture retrieval over agricultural fields

H Wang, R Magagi, K Goïta - Remote sensing of environment, 2018 - Elsevier
This study proposes a two-component (surface and volume) C-band polarimetric
decomposition to retrieve soil moisture over agricultural fields covered by different crop …

Sensitivity study of Radarsat-2 polarimetric SAR to crop height and fractional vegetation cover of corn and wheat

C Liao, J Wang, J Shang, X Huang, J Liu… - International journal of …, 2018 - Taylor & Francis
Increasing studies have been conducted to investigate the potential of polarimetric synthetic
aperture radar (SAR) in crop growth monitoring due to the capability of penetrating the …

Crop classification based on the physically constrained general model-based decomposition using multi-temporal RADARSAT-2 Data

Q Xie, Q Dou, X Peng, J Wang, JM Lopez-Sanchez… - Remote Sensing, 2022 - mdpi.com
Crop identification and classification are of great significance to agricultural land use
management. The physically constrained general model-based decomposition (PCGMD) …

A general three-component polarimetric SAR interferometry target decomposition

S Hu, Q Xie, JD Ballester-Berman, Q Dou… - Advances in Space …, 2024 - Elsevier
In this study, a general three-component polarimetric SAR interferometry (PolInSAR) target
decomposition framework is proposed by modifying the existing generalized surface, double …

Polarimetric SAR despeckling with convolutional neural networks

D Tucker, LC Potter - IEEE Transactions on Geoscience and …, 2022 - ieeexplore.ieee.org
Coherent imaging systems such as synthetic aperture radar (SAR) are subject to speckle,
the reduction of which is an active area of study. Methods based on deep convolutional …