基于不同植被指数的VSWI在河南省春季干旱监测中的应用分析

发布时间：2018-03-19 00:15

本文选题：植被指数　切入点：植被供水指数(VSWI)　出处：《作物杂志》2016年01期 　论文类型：期刊论文

【摘要】：干旱是一种常见的自然灾害,严重影响着我国的农业生产,而河南省的春旱发生最为频繁。因此,以河南省为研究区,在分析河南省春季归一化植被指数(NDVI)、增强型植被指数(EVI)以及修正土壤调节植被指数(MSAVI)变化规律的基础上,构建其相应的遥感植被供水指数(VSWI),分析比较了这3种植被指数构建的VSWI在反映土壤干湿状况时的差异,讨论了VSWI_N、VSWI_E以及VSWI_M与长时间序列降水的相关性。结果表明:VSWI与河南春季土壤相对湿度具有一定的正相关关系,VSWI_E、VSWI_M较VSWI_N更适合监测表层水分变化信息,总体来说,VSWI_E效果最好,而且,通过比较春季降水距平百分率(PA)发现,2000年是近30年春季最旱的一年。因此,选择利用EVI构建的VSWI监测2000年河南省春季干旱的时空演变规律,利用EVI构建的VSWI_E总体上更适用于监测河南省的春季干旱。
[Abstract]:Drought is a common natural disaster, which seriously affects agricultural production in China, while spring drought occurs most frequently in Henan Province. Based on the analysis of NDVI (normalized vegetation index), enhanced vegetation index (EVI) and modified soil regulated vegetation index (MSAVI) in spring of Henan Province, the variation rules of NDVI, EVI and MSAVI were analyzed. The corresponding remote sensing vegetation water supply index (VSWI) was constructed, and the differences of the VSWI constructed by the three planting indices in reflecting the soil dry and wet conditions were analyzed and compared. The correlation between VSWI_M and precipitation in long time series is discussed. The results show that there is a positive correlation between VSWI and spring soil relative humidity in Henan Province. VSWI / VSWI / VSWI / VSWI / VSWIE is more suitable than VSWI_N for monitoring surface water change information. By comparing the percentage of precipitation anomaly in spring, it is found that 2000 is the driest year in nearly 30 years. Therefore, the VSWI constructed by EVI is chosen to monitor the temporal and spatial evolution of spring drought in Henan Province on 2000. The VSWI_E constructed by EVI is more suitable for monitoring spring drought in Henan Province.
【作者单位】：江苏省农业气象重点实验室;南京信息工程大学应用气象学院;中国气象局气象探测中心;
【基金】：公益性行业(气象)专项重大项目专题(GYHY201506-001) 国家公益性行业(气象)科研专项(GYHY2013-06045)
【分类号】：S423

【参考文献】