摘要
运用MODIS等数据,建立了基于能量平衡与水量平衡的地表土壤含水量遥感反演模型。模型验证结果表明,山东半岛地区实测值与模拟值相关性R2为0.63,沂沭泗流域R2为0.6,淮河地区R2为0.65,适合研究区域不同季节不同分区土壤含水量预测。对将RS用于土壤含水量估算有一定参考价值。
This paper used the MODIS data to establish the remote sensing inversion model of surface soil moisture based on energy balance and water balance. The results of model validation show that the correlation between measured value and simulated value of Shandong Peninsula(R 2) is 0.63, the Yishusi Region's R 2 is 0.6, and the Huai River District's R 2 is 0.65. This model is suitable for soil moisture forecast of study area in different seasons and different zones. It has certain reference value for estimating soil moisture content by RS.
出处
《地理空间信息》
2016年第11期97-102,共6页
Geospatial Information
基金
吉林省科技发展计划资助项目(20140204052SF)
