摘要
土壤湿度弄口植被生长状况是干旱最重要和最直接的指标，对植被和土壤光谱特征的解译是进行旱情程度判断的重要因子。近期，基于水的光谱反射特性，提出的地表含水量指数（SWCI）模型能较好地反映地表的含水量值及其变化，可用于大范围的、快速的浅层土壤墒情遥感监测。通过与NDVI对比分析发现，在对浅层（0-50cm）土壤水分进行监测时，SWCI比NDVI更为敏感，这有助于在实时干旱动态监测中更好地采用不同的指数以提高监测精度。
Soil Moisture and Vegetation Growth are the most important and direct index in drought monitoring, and the spectral interpretation of vegetation and soil are serious factors in the judgment of drought degree. Based on the spectral character of water,recently,a new model of Surface Water Content Index（SWCI） has been put forward, and the index is more sensitive to the surface water content,and suit for regional drought monitoring. The comparative analysis showed that SWCI is more sensitive than NDVI to monitoring surface soil water content, it is available in real-time soil drought monitoring.
出处
《遥感技术与应用》
CSCD
2008年第6期624-628,I0002,共6页
Remote Sensing Technology and Application
基金
“十一五”国家科技支撑计划项目(2006BAD04B01)
风云三号卫星遥感开发与应用项目(20070806-FiDAFS-1-01)
河南省气象局重点科研项目(Z200506、Z2008019、Z200806)联合资助
