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基于MODIS的河南省春旱遥感监测

刘英 岳辉 李遥 鲁杨

干旱地区农业研究2018,Vol.36Issue(3):218-223,6.
干旱地区农业研究2018,Vol.36Issue(3):218-223,6.DOI:10.7606/j.issn.1000-7601.2018.03.32

基于MODIS的河南省春旱遥感监测

Remote sensing monitoring of spring drought based on MODIS in Henan Province

刘英 1岳辉 1李遥 1鲁杨1

作者信息

  • 1. 西安科技大学测绘科学与技术学院,陕西 西安710054
  • 折叠

摘要

Abstract

Illustrated by the case of remote sensing monitoring of winter wheat drought in Henan Province,the Normalized Difference Vegetation Index(NDVI)and Land Surface Temperature(Ts)data of MODIS was used to construct the bi-parabolic NDVI-Tsspace.Temperature vegetation dryness index(TVDI)was calculated based on bi-parabolic NDVI-Tsspace and was correlatively analyzed with field-measured soil moisture from the meterological station.It is revealed that the bi-parabolic NDVI-Tsspace could better reflect the status of soil moisture in deep to 10cm from soil surface.TVDI was applied to assess the spatial and temporal characteristics of spring drought in Henan Province from February 26 to June 1 in 2000,2005,2010 and 2015,compared with meteorological station rainfall data.The results show that:(1)The dry and wet edges are bi-parabolic in NDVI-Tsspace and the fitting coefficient R2is more than 0.9 of dry edge;(2)There is a negative correlation between TVDI and the filed-meas-ured soil moisture and the linear regression equation passes the significant test(p≤0.05); The spatial distribution of drought monitored by TVDI is consistent with the spatial distribution of precipitation.Thus,TVDI based on the bi-parabolic NDVI-Tsspace can be used to assess drought conditions;(3)The soil in the central and south of Henan Province is more humid and can meet the water requirement for winter wheat from TVDI in 2000,2005,2010 and 2015.

关键词

双抛物线型NDVI-Ts特征空间/春旱/MODIS/遥感监测

Key words

bi-parabolic NDVI-Tsspace/spring drought/MODIS/remote sensing monitoring

分类

农业科技

引用本文复制引用

刘英,岳辉,李遥,鲁杨..基于MODIS的河南省春旱遥感监测[J].干旱地区农业研究,2018,36(3):218-223,6.

基金项目

国家自然科学基金(41401496) (41401496)

中国博士后科学基金(2016M592815) (2016M592815)

干旱地区农业研究

OACSCDCSTPCD

1000-7601

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