利用EOS-MODIS数据提取作物冠层温度研究  

Algorithm for estimating crop canopy temperature using EOS-MODIS data

作　　者：侯英雨[1] 孙林[1] 何延波 王石立[3] 

机构地区：[1]中国科学院遥感应用研究所,北京100101 [2]国家气象中心,北京100081 [3]中国气象科学研究院,北京100081

出　　处：《农业工程学报》2006年第12期8-12,T0002,共6页Transactions of the Chinese Society of Agricultural Engineering

基　　金：国家自然科学基金项目(40275035)

摘　　要：利用EO S-M OD IS遥感数据,基于线性混合模型,提出了一种新的作物冠层温度反演方法。首先,利用EO S-M OD IS数据提取了陆地表面温度LST和植被指数NDV I。然后,假定地表只有植被和裸地两种组分,通过植被指数温度V I-T s方法来估算裸土的组分温度,作物冠层温度通过线性混合模型来求解。为了验证反演的地表温度和冠层温度的精度,把反演的地表温度与NA SA M OD IS地表温度产品进行差值运算,在差值图像中90%以上的像元灰度值分布在-1和1之间,像元灰度的平均值小于0.5;同时在河北固城农业气象试验站对冬小麦冠层温度进行同步观测,通过与反演的冠层温度进行比较,其误差在±1.5℃左右。结果表明,文中所提出的作物冠层温度反演方法精度较高,其结果能够满足有关作物生长模型以及土壤水分模型对输入参数的精度要求。Land Surface Temperature （LST） observed from satellite-platform is mixed temperature by various objects. How to estimate component temperature of vegetation in a pixel has become a hot issue all over the world. In this article, a new approach to extracting the component temperature of vegetation based on linear mixture model was developed. In this algorithm, firstly, land surface temperature and Normal Difference Vegetation Index （NDVI） were retrieved from EOS-MODIS Data. By comparison, the retrieved LST is almost consistent with the NASA MODIS LST product. Then, the landscape was simplified as a mixture of vegetation and bare soil. The component temperature of bare soil was estimated by using VI-Ts method and component temperature of vegetation was obtained from the linear mixture model, in order to check the performance of the algorithm, the retrieved component temperature of vegetation was compared with validation data observed at a few test sites in Hebei Province and the accuracy of the algorithm is within ±1.5℃. The research results show that the algorithm for estimating crop canopy temperature presented in this paper has higher accuracy, which can meet the accuracy requirements of related crop growth models and soil moisture models.

关 键 词：作物冠层温度 地表温度 线性混合模型 VI—Ts方法 EOS—MODIS数据 

分 类 号：S127[农业科学—农业基础科学] TP274.2[自动化与计算机技术—检测技术与自动化装置]