农业旱情遥感指数验证与不确定性分析
DOI:
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

基金项目:

中国科学院知识创新重要方向项目“遥感估产运行系统中遥感监测过程检验与精度评价(KZCX3-SW-338-2);国家863计划“粮食预警遥感辅助决策系统”(2003AA131050);遥感应用示范工程总体技术研究(2003AA131040)


Validation of Agricultural Drought Indices and Their Uncertainty Analysis
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    以山西省太谷与山东省济宁试验为例,对极轨气象卫星农业旱情遥感监测指数进行验证,并对其不确定性进行分析。山西省太谷试验结果表明,旬温度条件指数(T),植被条件指数(V),植被健康指数(H)与土壤湿度有较高相关性(R2分别达到0.51,0.50,0.56),日部分指数相关性更高(R2分别达到0.58,0.45,0.60);山东省济宁日指数与土壤湿度相关性比太谷的高(T,V,H的R2分别达到0.93,0.66,0.97),但是两地区叶面缺水指数(W)与土壤湿度的相关性都很低,验证结果表明,利用H与T较适合农业旱情监测。另外在对比分析2个地区试验结果的基础上,从作物种植结构、监测时间尺度、植被生理状况,以及指数本身特性等角度分析了农业旱情监测中的不确定性。

    Abstract:

    This study aimed to validate the agricultural drought indices derived from NOAA/AVHRR data and analyzed their uncertainties by taking Taigu County in Shanxi Province and Ji’ning County in Shandong Province for examples. The result from the analysis of relationships between drought indices and soil moisture in Taigu County shows that vegetation health index ( H), temperature condition index (T) and vegetation condition index (V) have somewhat low relations with soil moisture ( R2 is 0. 51, 0. 50, and 0. 56, respectively). Hand T have the closer relationship than normalized difference water index (W) and V. Validation using the data in J i’ning County shows that H, T and V have better relations with soil moisture (R2 is 0.97, 0.93, and 0.66, respectively). Whas a poor relation with soil moisture in the two cases. These suggest that the uncertainties in drought monitoring should be analyzed in terms of the crop planting pattern, monitoring time scale, vegetation condition and farming activity.

    参考文献
    相似文献
    引证文献
引用本文

牟伶俐,吴炳方,闫娜娜,黄慧萍,李强子.农业旱情遥感指数验证与不确定性分析[J].水土保持通报,2007,(2):119-122

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2006-05-09
  • 最后修改日期:2006-11-09
  • 录用日期:
  • 在线发布日期: 2014-11-26
  • 出版日期: