摘要
水稻是我国主要的粮食作物之一,对水稻面积和空间分布的调查是水稻监测的基础,关系国家粮食安全问题.利用卫星遥感技术进行水稻面积与空间分布调查具有大范围、实时性等传统调查不具备的优势,成为近年来的热点.本文对近年来基于多时相遥感进行水稻种植区提取的方法进行梳理与总结,按照传感器类型从3个方面进行阐述——利用不同时相分辨率的光学传感器的提取方法、利用不同极化方式的合成孔径雷达的提取方法以及两者的结合使用的方法,对基于不同数据源的提取方法进行了概括和举例.最后对目前的研究进行合理的评价,指出存在的不足之处并对进一步的研究做出展望.
Being one of the most important staple food in China,investigation onthe area and spatial distribution of rice is the basis for monitoring and management, which is vital for national food security. Compared with traditional survey, remote sensing is capable of covering large area in a real-time scale, thus rising to be the hotspot technology for monitoring in the recent years. In this paper, different methods on rice area extraction, including optical sensors with different time resolutions and synthetic aperture radar with different polarizations were summarized, together with their applications. Lastly, comprehensive assessments on on-going projects especially shortcomings were made for further research.
出处
《福建农林大学学报（自然科学版）》
CSCD
北大核心
2016年第6期617-624,共8页
Journal of Fujian Agriculture and Forestry University:Natural Science Edition
基金
国家自然科学基金(41271418)
关键词
遥感
水稻
光学传感器
合成孔径雷达
remote sensing
rice
optical sensor
synthetic aperture radar
