| 摘要: |
| 该文以江苏省为例，探讨MODIS时间序列数据在水稻种植信息获取中的应用，并进行精度评价。 首先利用MODIS数据构建了归一化差值植被指数（NDVI）、增强型植被指数（EVI）和陆表水指数 （LSWI）。根据植被指数的时间序列变化特征，结合水稻的生长发育规律，确定江苏省水稻种植面积。对比 统计数据，该方法提取水稻种植面积的误差为16%。同时，对环境卫星遥感影像进行监督分类，提取水稻 种植区域。对比二者提取结果，面积相对误差为5%，空间一致性达到60%以上。研究表明，在平原区域 利用MODIS数据监测大尺度水稻种植面积是可行的。 |
| 关键词: 稻田 植被指数 MODIS 环境卫星 江苏省 |
| DOI：10.7621/cjarrp.1005-9121.20130204 |
| 分类号: |
| 基金项目:基金项目:公益性行业（气象）科研专项（GYHY200906022），江苏省农业气象重点实验室开放课题（KYQ1103），国家自然科学基金 青年基金项目（40901238） |
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| STUDY ON EXTRACTION OF RICE CROPPING AREA USING MULTI-TEMPORAL REMOTE SENSING DATA |
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Wang Lin, Jing Yuanshu, Yang Shenbin
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Jiangsu Key Laboratory of Agricultural Meteorology， Nanjing 210044/College of Applied Meteorology， Nanjing University of Information Science & Technology， Nanjing 210044
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| Abstract: |
| This paper examined remote sensing of paddy fields in Jiangsu province using Moderate Resolution Ima- ging Spectroradiometer（MODIS） data. Vegetation indices such as Normalized Difference Vegetation Index（ND- VI）， Enhanced Vegetation Index（EVI）， and Land Surface Water Index（LSWI） were computed from the MODIS data for extracting rice cropping area. Based on the physiological characteristics of rice and the seasonal dynamics of the vegetation indices， the paddy fields area was calculated. The error of this method was approximately 16%， compared to the national statistical data. But compared with the results obtained from HJ image， rice cropping area extracted from MODIS was higher by 5%. The space consistency could reach over 60%. It could be concluded that it was feasible to use MODIS data to extract paddy field in plain regions. |
| Key words: paddy field vegetation indices MODIS HJ satellite image Jiangsu province |
