| TVDI在冬小麦春季干旱监测中的应用 |
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| 引用本文： | 李春强,李红军.TVDI在冬小麦春季干旱监测中的应用[J].遥感技术与应用,2008,23(2):161-165. |
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| 作者姓名： | 李春强 李红军 |
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| 作者单位： | （1.河北省气象与生态环境重点实验室,河北省气象科学研究所,河北 石家庄 050021； ;
2.中国科学院遗传与发育生物学研究所农业资源研究中心,河北 石家庄 050021 ） |
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| 基金项目： | 国家科技攻关计划
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中国科学院知识创新工程项目 |
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| 摘 要： | 应用冬小麦春季生长期的NOAA/AVHRR资料，反演归一化植被指数（NDVI）、土壤调整植被指数（SAVI）和下垫面温度（Ts），分析了植被指数和下垫面温度空间特征，采用温度植被旱情指数（TVDI），研究了河北省2005年3~5月的冬小麦旱情状况。结果表明：基于SAVI的温度植被旱情指数与土壤表层相对湿度的相关性好于基于NDVI的温度植被旱情指数。通过与气象站土壤水分观测资料进行相关性分析，表明温度植被旱情指数与10 cm土壤相对湿度关系最好，20 cm次之，50 cm较差。因此，基于SAVI的温度植被旱情指数更适于监测冬小麦春季的旱情。
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| 关 键 词： | 遥感 冬小麦 温度植被旱情指数 土壤调整植被指数 归一化植被指数 |
| 文章编号： | 1004-0323(2008)02-0161-05 |
| 修稿时间： | 2007年9月18日 |
The Application of TVDI in Drought Monitoring for Winter Wheat in Spring |
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| LI Chun-qiang,LI Hong-jun.The Application of TVDI in Drought Monitoring for Winter Wheat in Spring[J].Remote Sensing Technology and Application,2008,23(2):161-165. |
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| Authors: | LI Chun-qiang LI Hong-jun |
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| Affiliation: | (1.Hebei Provincial Key Lab for Meteorology and Eco-Environment,Hebei Provincial Research Institute of Meteorological Science,Shijiazhuang 050021,China;
2.Center for Agricultural Resources Research,Institute of Genetic and Developmental Biology,Chinese Academy of Sciences,Shijiazhuang 050021,China) |
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| Abstract: | Droughts hazard occurs frequently in nature and has a great impact on agriculture.Timely monitoring and assessment of drought conditions is critical to mitigate its effects.Using NOAA/AVHRR satellite data,we derived the normalized difference vegetation index (NDVI),soil-adjusted vegetation index (SAVI),land surface temperature (LST) and analyzed the spatial characteristics of vegetation indices and land surface temperature.The temperature vegetation dryness index (TVDI) was used to monitor the winter wheat drought conditions from March to May of 2005 in the middle-south part of Hebei Province.The results showed that the correlation of soil moisture with TVDI based on SAVI was better than that based on NDVI.The analysis of TVDI and soil moisture data from weather stations' measurement demonstrated that a good correlation existed between TVDI and relative humidity of soil at 10cm and 20cm.Therefore,TVDI is a better indicator for operational drought monitoring. |
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| Keywords: | Remote sensingzz Winter wheatzz Temperature vegetation dryness indexzz Soil-adjusted vegetation index(SAVI)zz Normalized difference vegetation index(NDVI)zz |
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