摘要
选择湖北漳河灌区作为研究区域，利用经过大气校正的LandsatETM＋近红外（NIR）、红光（Red）波段反射率建立NIR—Red光谱特征空间，计算垂直干旱指数（PDI），并与5～20am实测土壤水分数据相比较，结果表明：模型观测值与实莉I土壤水分的相关系数为0．76，其变化曲线和实测土壤水分变化趋势保持一致。NIR—Red光谱特征空闻法具有比较明确的生物物理意义，能够反映地表覆盖、水热组合及其变化。建模简单实用，易于操作和获取，适宜于在南方湿润地区土壤水分快速监测中推广应用。
Selecting Zhanghe Irrigation System of Hubei Province as a study area, we calculated its perpendicular drought index（ PDl）through NIR -Red spectral space built by ETM ＋ near- infrared and red reflectance which had been performed with atmospheric correction,and compared with 2 - 5 cm in - situ soil moisture observation. The result shows that the correlation coefficient between PDI Model and 2 cm in - situ soil moisture observation is 0.76 ,and the PDI curve is consistent with the in - situ soil moisture observation trend. As a result, the approach therefore can be applied in rapid monitoring of soil moisture in humid areas in South China due to its clear biological and physical meaning,and capable of reflecting land cover,water -heat composition and its changes.
出处
《人民长江》
北大核心
2010年第1期92-95,共4页
Yangtze River
基金
农业科技成果转化资金项目(05EFN2l6800404)
长江科学院博士启动课题资助(YJJ0910/KJ02)
关键词
土壤含水量
垂直干旱指数
遥感监测
湖北漳河灌区
soil moisture
perpendicular drought index（PDI）
remote sensing mornitring
Zhanghe Irrigation System
