期刊文献+

PDI与MPDI在内蒙古干旱监测中的应用和比较 被引量:23

Comparison and Application of PDI and MPDI for Drought Monitoring in Inner Mongolia
原文传递
导出
摘要 以内蒙古明安镇为试验区,基于TM遥感影像对PDI和MPDI两种干旱监测方法进行了应用、验证和比较。试验表明,PDI、MPDI与植被覆盖区实测土壤含水量的相关系数的平方分别为0.37、0.535 5,这两种指数在试验区进行干旱监测具有一定的可行性,且MPDI的监测精度高于PDI。此外,通过整个试验区PDI和MPDI空间分布格局的比较以及这两种指数值与植被覆盖区实测土壤含水量的对比分析,发现在整个试验区,两者的监测结果基本一致,但在植被覆盖区,MPDI的干旱监测效果要明显好于PDI,这主要是因为MPDI考虑了植被覆盖的影响。 The perpendicular drought index(PDI) and modified perpendicular drought index(MPDI) were applied and compared over the vegetation area of Ming'an town,Inner Mongolia,based on TM imagery.The results show that the determination coefficient of PDI,MPDI with the measured soil moisture are 0.37,0.535 5 respectively.PDI and MPDI are both feasible for drought monitoring in our study area,and the monitoring precision of MPDI is higher than PDI.In addition,the comparison of the drought mapping of the two indexes,and the analysis of the variation trend of the two indexes with the soil moisture both indicated that monitoring results of the two indexes are similar in the whole test area,but in vegetation area,the precision of drought monitoring of MPDI is superior to PDI,this is mainly due to the vegetation impact considered in MPDI.
出处 《武汉大学学报(信息科学版)》 EI CSCD 北大核心 2011年第2期195-198,共4页 Geomatics and Information Science of Wuhan University
基金 国家自然科学基金资助项目(40771148) 气象行业科研经费专项基金资助项目(GYHY200806022) 国家863计划资助项目(2008AA121806 2009AA12Z128)
关键词 PDI MPDI 土壤含水量 光谱特征 perpendicular drought index modified perpendicular drought index soil moisture spectral feature
  • 相关文献

参考文献13

  • 1王鹏新,龚健雅,李小文.条件植被温度指数及其在干旱监测中的应用[J].武汉大学学报(信息科学版),2001,26(5):412-418. 被引量:247
  • 2杜晓,王世新,周艺,魏华.一种新的基于MODIS的地表含水量模型构造与验证[J].武汉大学学报(信息科学版),2007,32(3):205-207. 被引量:27
  • 3王晓红,刘耀林,杜晓.基于MODIS图像的植被叶面水反演与农业干旱监测[J].武汉大学学报(信息科学版),2007,32(6):498-501. 被引量:8
  • 4Kogan F N. Remote Sensing of Weather Impacts on Vegetation in Nonhomogeneous Area[J]. Interna- tional Journal of Remote sensing, 1990, 11:1 405- 1 420.
  • 5McVicarTR, JuppDLB , YangX,et al. Linking Regional Water Balance Models with Remote Sens- ing[C]. The 13th Asian Conference on Remote Sensing, Ulaanbaatar, Mongolia, 1992.
  • 6Jupp D L B, Tian G, McVicar T R, et al. Soil Moisture and Drought Monitoring Using Remote Sensing I: Theoretical Background and Methods[R]. CSIRO Earth Observation Centre, Canberra, 1998.
  • 7Prihodko L, Goward S N. Estimation of Air Tem- perature from Remotely Sensed Surface Observa- tions[J]. Remote Sensing of Environment, 1997, 60:335-346.
  • 8Sandholt I, Rasmussen K, Andersen J. A Simple Interpretation of the Surface Temperature-vegeta- tion Index Space for Assessment of Surface Mois- ture Status [J]. Remote Sensing of Environment, 2002, 79:213-224.
  • 9詹志明,秦其明,阿布都瓦斯提.吾拉木,汪冬冬.基于NIR-Red光谱特征空间的土壤水分监测新方法[J].中国科学(D辑),2006,36(11):1020-1026. 被引量:81
  • 10Ghulam A, Qin Qiming, Zhan Zhiming. Designing of the Perpendicular Drought Index[J]. Environ- mental Geology, 2007, 52:1 045-1 052.

二级参考文献85

共引文献430

同被引文献345

引证文献23

二级引证文献140

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部