@inproceedings{731c51ac5a4b4756b1c00007bcae9cec,
title = "Soil moisture retrieval for periodic fields by the use of RADARSAT-2 polarimetric SAR imagery",
abstract = "The periodic surface are often seen in agriculture, such as the planting fields of potato, sugarcane, and green onion. There are strong coherent scattering for the fields whose aligning direction is perpendicular to radar's light of sight (LOS). Enhanced backscattering coefficients induced by coherent scattering on synthetic aperture radar (SAR) images hinder the retrieval of soil moisture. The paper investigated the capability of different retrieval models in the inversion of soil moisture for bare periodic fields. The results show that the copolarized ratio and HV backscattering coefficient, which are less affected by the periodic structure, can be used to reduce the effect of coherent scattering on soil moisture inversion.",
keywords = "Agriculture, Periodic surface, Polarimetric synthetic aperture radar (PolSAR), Soil moisture",
author = "Lingli Zhao and Jie Yang and Pingxiang Li and Wenjun Han and Xiaoli Ding and Weidong Sun and Lei Shi",
year = "2018",
month = oct,
day = "31",
doi = "10.1109/IGARSS.2018.8518025",
language = "English",
series = "International Geoscience and Remote Sensing Symposium (IGARSS)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "7483--7486",
booktitle = "2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings",
note = "38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 ; Conference date: 22-07-2018 Through 27-07-2018",
}