Rice crop mapping and monitoring using ERS-1 data based on experiment and modeling results
Rice crop mapping and monitoring using ERS-1 data based on experiment and modeling results
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DOI：
10.1109/36.551933
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发表时间：
1997-01-01
影响因子：
8.2
通讯作者：
Kurosu, T
中科院分区：
文献类型：
--
作者：
LeToan, T;Ribbes, F;Kurosu, T
在水稻监测计划和水稻田甲烷排放研究中，水稻种植区域和生长条件信息是必要的。本文的目的是评估ERS-1 SAR数据在绘制水稻种植区域和检索水稻参数方面的应用。该方法首先综合了两个不同试验区的实验结果，然后建立了一个理论模型来解释观测结果。两个试验区的实验数据的综合，一个是种植短周期水稻的热带地区（印度尼西亚三宝垄），一个是种植长周期水稻的温带地区（日本秋田），表明被淹稻田具有增加时间雷达响应的特征。当雷达后向散射系数表示为水稻生物量的函数时，减少了栽培方式和气候（长周期与短周期）对观测结果的影响，并通过理论模型对观测结果进行了解释，该模型依赖于水稻植物的真实描述，考虑了散射体的后向散射增强和聚类效应，实验数据与理论结果吻合较好。稻田雷达响应的强烈时间变化是由于波浪-植被-水相互作用造成的，这种相互作用从移栽期到繁殖期增加。利用验证的模型模拟，水稻周期长度或水稻品种对时间曲线的影响较小。基于两个采集日期之间雷达响应的时间变化，开发了一种稻田制图方法，并将SAR图像反演为植物高度和植物生物量，结果表明，ERS-1和RADARSAT数据有望用于水稻监测。
Information on rice growing areas and on rice growth conditions are necessary in rice monitoring programs and in studies on the emission of methane from flooded rice fields, The objective of this paper is to assess the use of ERS-1 SAR data to map rice growing areas and to retrieve rice parameters. The approach includes first a synthesis of experimental results at two different test areas followed by a development of a theoretical model to interpret the observations, The synthesis of experimental data at two test areas, a tropical site with short cycle rice (Semarang, Indonesia) and a temperate site with long cycle rice (Akita, Japan), has shown that flooded rice fields have characteristic increasing temporal radar responses, When the radar backscattering coefficients are expressed as a function of the rice biomass, the effect of cultural practices and climate (long cycle versus short cycle) is reduced, The observations have been interpreted by a theoretical model, which relies on a realistic description of rice plants and which considers the backscattering enhancement and clustering effects of the scatterers, Good agreement has been obtained between experimental data and theoretical results. The strong temporal variation of the radar response of rice fields is due to the wave-vegetation-water interaction, which increases from the transplanting stage to reproductive stage. By simulations using the validated model, the length of the rice cycle or the rice varieties have shown minor effects on the temporal curve, A method for rice fields mapping Has been developed, based on the temporal variation of the radar response between two acquisition dates, Inversion of SAR images into plant height and plant biomass has also been performed, The results appear promising for the use of ERS-1 and RADARSAT data for rice monitoring.