Abstract
As one of the most important grains worldwide, paddy rice plays a significant role in not only regional food supply but also international food trading. In past decades, Synthetic Aperture Radar (SAR) has been proved to be an effective tool in paddy rice monitoring. However, in Southeast Asia, the construction of sophisticated paddy rice response models and the substantial sample set can be quite difficult, because of the diverse phonologies of different paddy rice cultivation practices. Targeting this problem, this paper intended to explore the consistency in time series SAR features of different paddy rice regions. Two tropical paddy rice producing regions, Hainan Province of China and the Mekong River Delta of Vietnam, were selected as the study areas. Through the analysis of temporal responses using time series Sentinel-1 data, the behavior of paddy rice fields on time-series SAR were investigated and the comparisons of these two study areas were also conducted, which provided an evaluation for the portability of intelligent paddy rice mapping model in Southeast Asia.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
