摘要
利用陕北20个测墒站不同土层深度的土壤湿度和对应的MODIS卫星资料,分析了3种干旱遥感指数即改进型能量指数(MEI)、垂直干旱植被指数(PDI)和地表含水量指数(SWCI),由此得到陕北旱情空间分布图,并对其分等定级。结果表明:3种遥感干旱监测模型监测土壤水分的最佳土层深度均为20cm,其次为10cm。对2008年4-9月的植物生长季土壤相对湿度进行动态反演表明,3种指数均能及时、准确得到大范围的土壤含水量情况及旱情,适宜在当地应用推广。
Based on soil moisture and its MODIS data in different depth from 20 soil monitoring stations in north Shaanxi, three kinds of drought remote sensing indices, including the modify energy index （MEI） , perpendicular drought index（PDI） and the surface water capacity index （SWCI）, was calculated, and the spatial distribution of droughts with different grades was formed. The results showed that 20cm was the best depth for monitoring soil moisture by three drought remote sensing models ,followed by 10cm. A dynamic inverse of relative soil moisture during the growing season from April to September in 2008 showed that all of the three indices could monitor soil moisture and drought proper and timely in region. So they are suitable for this study area.
出处
《中国农业气象》
CSCD
北大核心
2014年第1期97-102,共6页
Chinese Journal of Agrometeorology
基金
国家科技支撑计划“全球变化环境下作物产量的影响与适应监测评估技术”(2012BAH29B03)
关键词
干旱遥感
土壤相对湿度
地表含水量指数
改进型能量指数
垂直干旱植被指数
Drought remote sensing
Relative soil moisture
Surface water capacity index（SWCI）
Modify energy index（MEI）
Perpendicular drought index （PDI）
