中国农业气象 ›› 2014, Vol. 35 ›› Issue (06): 675-681.doi: 10.3969/j.issn.1000-6362.2014.06.011

• 论文 • 上一篇    下一篇

河北省土壤干湿状况遥感监测指数比较

姜亚珍,张瑜洁,孙琛,游松财   

  1. 1中国农业科学院农业环境与可持续发展研究所,北京100081;2中国农业科学院研究生院,北京100081
  • 收稿日期:2014-04-10 出版日期:2014-12-20 发布日期:2015-05-21
  • 作者简介:姜亚珍(1989-),女,甘肃会宁人,硕士生,研究方向为农业灾害与减灾。Email:jyz0123@163.com
  • 基金资助:
    公益性行业(农业)科研专项(201203029);中国农业科学院科技创新工程

Comparison of Remote Sensing Based Soil Moisture Indices in Hebei Province

JIANG Ya zhen,ZHANG Yu jie,SUN Chen,YOU Song cai   

  1. 1Institute of Environment and Sustainable Development in Agriculture,Chinese Academy of Agricultural Sciences,Beijing100081,China;2Graduate School of Chinese Academy of Agricultural Sciences,Beijing100081
  • Received:2014-04-10 Online:2014-12-20 Published:2015-05-21

摘要: 选用河北省2010年5月Terra/MODIS地表反射率产品MOD09A1计算得到了增强植被指数(EVI),结合同期MOD11A2地表温度LST数据,计算得到河北省TVDI(温度植被干旱指数)和VSWI(植被供水指数),比较分析TVDI和VSWI监测河北省土壤干湿状况的适宜性。两种指数与同期8d平均降水量数据的定性分析表明TVDI与降水量数据间具有明显的相反趋势,VSWI与降水量数据间趋势关系不明显;定量的相关分析表明,TVDI与降水量数据间表现出较显著的负相关性(P<0.05),而VSWI与降水量数据间的相关不显著。可见,在所选取研究时段内,TVDI指数较VSWI指数监测河北省土壤湿度更为适宜。

关键词: 土壤干湿状况, 温度植被干旱指数TVDI, 植被供水指数VSWI, 降水

Abstract: Temperature Vegetation Drought Index(TVDI)and Vegetation Supply Water Index(VSWI)in May of 2010 in Hebei province were calculated based on Enhanced Vegetation Index(EVI)which was computed from Terra/MODIS MOD09A1 and LST which was deprived from MOD11A2.Suitability of monitoring soil moisture in Hebei province using TVDI and VSWI was compared and analyzed.The qualitative analysis between the two indices and 8d average precipitation data in the same period showed that TVDI and precipitation data had obvious contrary trend and the trend between VSWI and precipitation data was not obvious.Quantitative correlation analysis showed that TVDI and precipitation data had a significant negative correlation(P<0.05),while which was not significant between VSWI and precipitation data.Therefore,TVDI is more appropriate than VSWI for soil moisture monitoring in the study period in Hebei province.

Key words: Soil moisture, TVDI, VSWI, Precipitation