%0 Journal Article
%T Studies on Rice Backscatter Signatures in Time Domain and Its Applications
水稻时域散射特征分析及其应用研究
%A SHAO Yun
%A GUO Hua_dong
%A FAN Xiang_tao
%A LIU Hao
%A
邵芸
%A 郭华东
%J 遥感学报
%D 2001
%I
%X Rice monitoring and production estimation has special significance to China, as rice is the staple grain and accounts for 42% of the crop production for this country. Radar remote sensing is appropriate for monitoring rice as cultivated areas are most often cloudy and rainy. SAR is anticipated to be the dominant remote sensing data source with high resolution in tropic and sub_tropical regions. It also provides re_visit schedules suitable for agricultural monitoring. This paper presents the results of a study examining the backscatter behavior of rice as a function of time using multi_temporal RADARSAT data set acquired in 1996 and 1997. A rice_type distribution map was produced, showing 4 types of rice with different life spans ranging from 80 days, to 120_125 days. The life span of a rice crop has significant impact on yield, as well as the taste and quality of the rice. The rice production of three counties and two administrative regions, totaling 5000 square kilometers, are estimated in this study. The accuracy was found to be 91%, providing confidence that multi_temporal RADARSAT data is capable of rice monitoring and production estimation. Based on the studies carried out in the Zhaoqing test site since 1993, it is suggested that rice production estimations require three radar data acquisitions taken at 3 stages of crop growth season. That is at the end of the seedling development period, in the ear differentiation period, and at the beginning of the harvest period. Alternatively, if multi_parameter radar data is available, data acquisitions may reduce to only two. That is at the end of the seedling period, and at the beginning of the harvest period. This paper also proposes a pilot scenario for operational rice monitoring and production estimation.
%K radar
%K backscatter coefficient
%K rice
%K time domain analysis
%K production estimation
雷达遥感
%K 后向散射系数
%K 水稻
%K 时域分析
%K 估产
%K 图像处理
%K 生长结构
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=E62459D214FD64A3C8082E4ED1ABABED5711027BBBDDD35B&cid=A41A70F4AB56AB1B&jid=F926358B31AC94511E4382C083F7683C&aid=11BE3A736F60CC0C&yid=14E7EF987E4155E6&vid=94C357A881DFC066&iid=94C357A881DFC066&sid=9D9F10A828991FA6&eid=3622B70F9C54A9CC&journal_id=1007-4619&journal_name=遥感学报&referenced_num=13&reference_num=21