基于CSK SAR数据的水稻制图与播期估算

Giuseppina Forino, F. Nunziata, L. Mascolo, G. Pugliano, M. Migliaccio
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引用次数: 3

摘要

本文研究了在越南湄公河三角洲农业试验点收集的cosmos - sky Med x波段SAR图像的多极化特征(HH、VV通道的强度及其比值)的使用,以开发水稻监测方法。提出的方法旨在探测水稻面积并估计播种日期。水稻制图是基于稻田或非稻田的分类,播种日期的估计是通过一种新的程序进行的,该程序基于从稻田相关的HH和VV强度之间的比值趋势中获得的水稻训练签名。
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Rice Mapping and Sowing Date Estimation Using CSK SAR Data
The use of multi-polarization features (intensities at the HH, VV channels and their ratio) from the X-band COSMO-Sky Med SAR images collected over an agricultural test site in Mekong Delta, Vietnam, is investigated in this study in order to develop methodology for rice monitoring. The proposed approach aims to detect rice areas and to estimate the sowing dates. The rice mapping is based on a classification of rice fields or non-rice fields and the sowing date estimation is performed with a novel procedure based on a rice training signature obtained from trends of ratio between HH and VV intensities related to rice fields.
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