自然资源学报 ›› 2011, Vol. 26 ›› Issue (11): 1942-1952.doi: 10.11849/zrzyxb.2011.11.013

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利用国产环境减灾卫星遥感信息估测春小麦产量——以内蒙古陈巴尔虎旗地区为例

邓坤枚, 孙九林, 陈鹏飞, 王卷乐, 廖顺宝, 尹芳, 朱华忠, 杨飞, 杨雅萍   

  1. 中国科学院 地理科学与资源研究所,北京 100101
  • 收稿日期:2010-09-28 修回日期:2011-09-05 出版日期:2011-11-20 发布日期:2011-11-20
  • 通讯作者: E-mail: sunjl@igsnrr.ac.cn E-mail:sunjl@igsnrr.ac.cn
  • 作者简介:邓坤枚(1953- ),男,副研究员,主要从事林业资源与生态环境、遥感应用等方面的研究。E-mail: dengkm@igsnrr.ac.cn
  • 基金资助:

    国家基金委面上基金项目"国产遥感卫星在中国周边地区的应用技术研究(40771146)"。

Estimation of Spring Wheat Yield by Remote Sensing Information from China’s Environmental Disaster Mitigation Satellite —Taking Chen Barag Banner of Inner Mongolia as an Example

DENG Kun-mei, SUN Jiu-lin, CHEN Peng-fei, WANG Juan-le, LIAO Shun-bao, YIN Fang, ZHU Hua-zhong, YANG Fei, YANG Ya-ping   

  1. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
  • Received:2010-09-28 Revised:2011-09-05 Online:2011-11-20 Published:2011-11-20

摘要: 以内蒙古春小麦产区陈巴尔虎旗为研究实例,采用遥感方法,利用分辨率30 m的国产环境减灾卫星的NDVI数据对春小麦单产进行预测。研究选取了该卫星2009年7月29日春小麦乳黄熟期的NDVI数据,同时,建立其与春小麦单产间关系,运用数理统计与回归分析方法构建了春小麦乳黄熟期的NDVI与其单产的估产模型。利用地面实测春小麦单产对估产模型估测的单产进行精度检验,结果表明,基于影像提取的NDVI与春小麦实测单产有较好的抛物线状(y=cx2+bx+a)相关关系,NDVI与春小麦实测单产的相关关系达到显著水平,其相关系数R为0.87,单产相差160 kg/hm2,相对误差为-3.89%。表明利用国产环境减灾卫星的NDVI与实测春小麦单产建立的估产模型,对成熟前春小麦的单产进行估测,其估产精度也同样可达到与利用国外卫星的预估效益。

关键词: 遥感, 估产, 春小麦, 环境减灾卫星

Abstract: Taking Chen Barag Banner (County) of Inner Mongolia, one of the most important spring wheat producing areas as an example, the spring wheat yield (per unit area yield) was estimated by using China’s environmental disaster mitigation satellite data with a resolution of 30 m. The NDVI data of spring wheat at milk ripening period of the satellite on 2009-07-29 were selected, and the relation between NDVI values and wheat yield data was built up. And the estimation model of spring wheat yield was established by using mathematical statistics and regression methods, with the precision validated estimation model by the ground survey spring wheat yield data. The results show that the image extracted NDVI has good singular parabolic line relation, y=cx2+bx+a with measured per hm2 yield of spring wheat. NDVI is closesly related with measurement of spring wheat yield, with the correlation coefficient R being 0.87, the yield estimation difference being -160 kg/hm2, and the error was -3. 89%. This indicates that the precision of yield estimation of premature spring wheat using the NDVI of China’s environmental disaster mitigation satellite and the model for measuring the yield of spring wheat can also gain the same predicted efficiency by using any foreign remote-sensing satellites.

Key words: remote sensing, estimation wheat yield, spring wheat, environmental disaster mitigation satellite

中图分类号: 

  • S512.1