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中国农学通报

中国农学通报 ›› 2013, Vol. 29 ›› Issue (33): 32-36.doi: 10.11924/j.issn.1000-6850.2012-3533

所属专题： 水稻

• 农学 农业基础科学 • 上一篇    下一篇

利用MODIS数据提取水稻种植面积及精度分析

于文颖 冯锐 纪瑞鹏 赵先丽 武晋雯 姜鹏 张玉书   

  • 收稿日期:2012-10-31 修回日期:2012-11-28 出版日期:2013-11-25 发布日期:2013-11-25
  • 基金资助:
    中央级公益性科研院所基本科研业务费专项;公益性行业（气象）科研专项;辽宁省科技厅重大农业攻关项目

Extracting Rice Planting Area and Precision Analysis by Using MODIS Data

  • Received:2012-10-31 Revised:2012-11-28 Online:2013-11-25 Published:2013-11-25

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摘要： 为了研究MODIS遥感数据及方法提取水稻种植面积在东北地区的适用性，利用MODIS数据对东北地区水稻面积进行提取，采用非监督分类法、决策树法等方法，并与SPOT、ALOS等遥感资料提取结果比较，进行精度分析。结果表明，MODIS监测水稻面积具有很好的效果，利用MODIS-LSWI提取黑龙江地区移栽期的水稻面积，采用非监督分类法，与SPOT比较，提取精度达97.4%；利用MODIS数据提取辽宁盘锦地区移栽期的水田面积，采用决策树法，与ALOS比较，提取精度达89.5%。因此，利用MODIS遥感数据及方法监测东北地区水稻种植面积是可行的。

关键词: 原核表达, 原核表达

Abstract: In order to study the suitability of MODIS data and methods on the extraction of rice planting area in Northeast China, this study extracted the rice planting area in Northeast China, using unsupervised classification and decision tree method, based on the MODIS data. The accuracy of the extraction results was analyzed with MODIS, SPOT and ALOS remote sensing data. The results showed that, it had satisfied results for MODIS data on monitoring rice area. Using unsupervised classification method, the rice area was extracted from MODIS-LSWI data in Heilongjiang Province during the transplanting period. Compared with SPOT data, the extraction precision reached 97.4%. Using decision tree method, the rice area was extracted from MODIS data in Liaoning Panjin area during the transplanting period. Compared with ALOS data, the extraction precision reached 89.5%. So it was feasible for monitoring rice area by using MODIS data and methods in Northeast China.