半干旱区土壤热通量遥感估算模型的适应性对比分析  

Comparison of Adaptability of Remote Sensing Models for Soil Heat Flux Estimation over Semiarid Area

作　　者：叶晶 廖倩 李志明 李万彪[3] 

机构地区：[1]解放军95871部队 [2]广空气象中心 [3]北京大学物理学院大气与海洋科学系

出　　处：《遥感信息》2012年第6期79-85,共7页Remote Sensing Information

摘　　要：提出了一种基于地表温度的土壤热通量遥感估算模型,结合另外两种应用比较广泛的遥感估算模型,分别是Moran(1989)提出的基于归一化植被指数NDVI、净辐射通量的模型和Bastiaanssen(1998)的基于NDVI、地表反照率、地表温度、净辐射通量的模型,利用MODIS遥感数据对这3种土壤热通量的模型进行了试验分析。参照半干旱区退化草地和农田地面站点实测的土壤热通量数据,3种遥感模型的试验结果表明:提出的基于MO-DIS地表温度的模型得到的土壤热通量精度最高;Bastiaanssen(1998)模型也能得到精度相当的土壤热通量,特别是它得到的可利用能量精度最高;Moran(1989)模型反演的土壤热通量误差最大。In this paper,a remote sensing model based on radiative surface temperature was proposed to estimate the soil heat flux.Two extensively applied models including Moran＇s model（1989） and Bastiaanssen＇s model（1998） were also studied in this paper.Moran＇s model employs the Normalized Difference Vegetation Index（NDVI） and net radiation,and Bastiaanssen＇s model is based on NDVI,surface albedo,surface temperature and net radiation.The above models using MODIS data were validated against the ground-measured data at degraded grassland site and farmland site over semiarid area.Comparison results showed that the derived soil heat flux of our model had the best accuracy;Bastiaanssen＇s approach had similar accuracy and its available energy had the best accuracy;the soil heat flux from Moran＇s model had the largest error value.

关 键 词：土壤热通量 可利用能量 遥感 模型 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置]