摘要
针对苗期低植被覆盖情况,在原有的归一化植被指数基础上,增加了土壤调节植被指数,将其与条件温度指数结合,通过与地面实测土壤相对湿度进行相关分析,分别建立作物苗期的干旱监测模型,并与热惯量方法和供水植被指数方法进行对比分析,初步得出辽宁省范围内作物苗期进行大范围干旱遥感监测的最适宜模型为土壤调节植被指数-温度模型。
The drought monitoring model at seedling stage under the condition of low-coverage vegetation is established based on NDVI with MODIS and soil moisture data.The model combines soil adjusted vegetation index(SAVI) with temperature condition index(TCI) on the basis of the correlation analysis of observed soil moisture and relative humidity.Comparison between thermal inertia method and SAVI-TCI method based on vegetation supply water index method is conducted.The results indicate that the SAVI-TCI method is be...
出处
《气象科技》
2008年第5期606-608,682,共4页
Meteorological Science and Technology
基金
中国气象局项目"农业干旱监测
预警技术应用研究"(CMATG2007M02)
"土壤含水量空间无缝隙监测和预报技术"(CMATG2006M14)
科技部项目"生态与农业气象信息平台技术推广应用"(2006GB24160431)共同资助
