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Rice monitoring using ENVISAT-ASAR data: preliminary results of a case study in the Mekong River Delta, Vietnam

机译:使用ENVISAT-ASAR数据进行水稻监测:越南湄公河三角洲案例研究的初步结果

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摘要

Vietnam is one of the world’s largest rice exporting countries, and the fertile Mekong River Delta at the southern tip of Vietnam accounts for more than half of the country’s rice production. Unfortunately, a large part of rice crop growing time coincides with a rainy season, resulting in a limited number of cloud-free optical remote sensing images for rice monitoring. Synthetic aperture radar (SAR) data allows for observations independent of weather conditions and solar illumination, and is potentially well suited for rice crop monitoring.udThe aim of the study was to apply new generation Envisat ASAR data with dual polarization (HH and VV) to rice cropping system mapping and monitoring in An Giang province, Mekong River Delta. Several sample areas were established on the ground, where selected rice parameters (e.g. rice height and biomass) are periodically being measured over a period of 12 months. A correlation analysis of rice parameters and radar imagery values is then being conducted to determine the significance and magnitude of the relationships.udThis paper describes a review of the previous research studies on rice monitoring using SAR data, the context of this on-going study, and some preliminary results that provide insights on how ASAR imagery could be useful for rice crop monitoring. More work is being done to develop algorithms for mapping and monitoring rice cropping systems, and to validate a rice yield prediction model for one year cycle using time-series SAR imagery.
机译:越南是世界上最大的稻米出口国之一,肥沃的湄公河三角洲位于越南南端,占该国稻米产量的一半以上。不幸的是,水稻作物的大部分生长时间与雨季相吻合,导致用于水稻监测的无云光学遥感图像数量有限。合成孔径雷达(SAR)数据可以不受天气条件和太阳光照的影响而进行观测,并且很可能适合水稻作物的监测。 ud研究的目的是应用具有双极化(HH和VV)的新一代Envisat ASAR数据湄公河三角洲安江省水稻种植系统的制图和监测在地面上建立了几个采样区域,在12个月内定期测量选定的稻米参数(例如稻米高度和生物量)。然后对稻米参数和雷达图像值进行相关分析,以确定两者之间的关系和幅度。 ud本文介绍了以往使用SAR数据进行稻米监测的研究综述,该研究正在进行中。以及一些初步的结果,这些见解提供了有关ASAR图像如何可用于水稻作物监测的见解。正在开展更多工作来开发用于绘制和监视水稻种植系统的算法,并使用时间序列SAR图像验证一年周期的水稻产量预测模型。

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