首页> 外文会议>ESA SP-611; Dragon Symposium on Mid-Term Results; 20050627-0701; Santorini(GR) >RICE MAPPING AND PARAMETERS RETRIEVAL USING ASAR DATA IN JIANGSU PROVINCE, CHINA
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RICE MAPPING AND PARAMETERS RETRIEVAL USING ASAR DATA IN JIANGSU PROVINCE, CHINA

机译:江苏省利用ASAR数据进行水稻制图和参数检索

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This paper presents a study of multi-temporal and dual-polarization (HH, VV) ASAR data, which aims to assess the use of ASAR data for rice field mapping and monitoring. Temporal variation of backscattering coefficients of 4 categories of rice fields were derived from 2004 ASAR images of the region of Jiangsu. Ground data were collected to calculate wet biomass and LAI of rice, NOAA images were utilized to derive NDVI, and the correlation between the backscattering coefficient and those rice parameters was analyzed. Based on the backscatter behaviors of rice, a method for rice fields mapping using image ratio techniques has been developed, with accuracy higher than 80%. Four classes of rice according to varieties (hybrid or Japonica) and crop calendar have been mapped, in addition to the other main land use classes in the region. The results appear promising for the use of ASAR data on rice monitoring and rice mapping.
机译:本文介绍了多时相和双极化(HH,VV)ASAR数据的研究,旨在评估将ASAR数据用于稻田制图和监测的情况。根据江苏地区2004年ASAR图像,推算出4类稻田后向散射系数的时间变化。收集地面数据以计算水稻的湿生物量和LAI,利用NOAA图像得出NDVI,并分析反向散射系数与水稻参数之间的相关性。基于水稻的后向散射行为,开发了一种利用图像比率技术绘制稻田图的方法,其准确度高于80%。除了该区域其他主要土地利用类别外,还根据水稻品种(杂交或粳稻)和作物日历划分了四类水稻。研究结果有望将ASAR数据用于水稻监测和水稻作图。

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