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Rice crop mapping and monitoring using ERS-1 data based on experiment and modeling results

机译:根据实验和建模结果,使用ERS-1数据对水稻作物进行制图和监测

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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.
机译:在稻米监测计划和研究淹水稻田甲烷排放方面,需要有关稻米种植地区和稻米生长条件的信息。本文的目的是评估使用ERS-1 SAR数据绘制水稻种植区图并检索水稻参数。该方法首先包括在两个不同测试区域的实验结果的综合,然后发展用于解释观测结果的理论模型。在两个试验区的综合实验数据中,一个热带地区的短周期稻米(印度尼西亚Semarang)和一个温带地区的长周期稻米(日本秋田),表明水淹稻田具有随时间变化的雷达响应特性。当将雷达后向散射系数表示为水稻生物量的函数时,将减少文化习俗和气候(长周期与短周期)的影响。观测值已通过理论模型进行了解释,该模型依赖于对水稻植物的实际描述,并考虑了散射体的反向散射增强和聚类效应。实验数据和理论结果之间取得了很好的一致性。稻田雷达响应的强烈时空变化是由于波—植被—水的相互作用,从移植阶段到生殖阶段,这种相互作用不断增加。通过使用验证模型进行的模拟,水稻周期的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。 SAR图像也已转化为植物高度和植物生物量。对于使用ERS-1和RADARSAT数据进行水稻监测,结果似乎很有希望。

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