一种极干旱区水热通量遥感模型反演

Retrieval of land surface heat fluxes based on SEBAL model in hyper-arid region

针对极干旱的土壤水热通量遥感估算研究少和缺乏模型验证分析的不足,该文选取新疆塔克拉码干沙漠东南缘米兰绿洲,借助2010年8月7日TM影像数据,结合地面观测数据和土地覆盖类型解译,利用SEBAL模型反演了研究区地表通量。结果表明:该方法在极干旱区的模拟精度较高,研究区地表能量平衡各分量具有明显的时空分布特征。地表通量参数的遥感反演估算对极干旱区的生态保护、灾害监测和地区水资源管理具有重要现实意义。

It is very important to retrieve land surface heat fluxes from remote sensing data for ecological protection,disaster monitoring and water resource management.In this study,TM data were applied to retrieve land surface heat fluxes with ground observation data and land cover classification based on SEBAL model in the hyper-arid region named Miran,which locates at the southeastern of Taklimakan desert,Xinjiang,NW-China.The satellite images were taken on 7Aug,2010.It was found that the precision of the SEBAL model was high in retrieving land surface heat fluxes for the hyper-arid region.Moreover,data showed that the energy balance components had clear spatial-temporal characteristics.