面向遥感叶面积指数产品的地形校正研究

地形校正是提高复杂地形区地表参数遥感定量化反演精度的重要手段。当前广泛应用的遥感叶面积指数产品（Leaf Area Index， LAI）多具有一定的地形误差，减少地形影响、提升其产品精度有着非常重要的意义。以我国江西省千烟洲地区为研究区域，利用地面实测LAI数据、LandsatTM数据和高程数据等，基于高程标准差和GLOBMAP LAI产品值的关系，建立面向叶面积指数产品的地形校正模型，利用这一模型对GLOBMAP LAI产品进行地形校正。结果表明：校正后的LAI与地面实测数据更为接近，LAI产品与地面测量值的RMSE由2.11下降到2.04；校正后LAI产品的标准差由2.08下降至1.69，LAI产品的地形误差得到了较好的改正。该方法较好地完成了LAI产品的地形校正，进一步提高了产品精度，具有一定的实用价值。

Topographic Correction of Leaf Area Index Product Derived from Remote Sensing Data

Terrain correction is an important approach to improve the accuracy of remote sensing quantification of surface parameters in complex terrain areas. The widely used remote sensing Leaf Area Index（LAI）productsalwayshave certain terrain error. It has a great importance to eliminate the influence of terrain and improve LAIproducts’ accuracy. Taking the Qianyanzhou area of Jiangxi Province as the research area， the paper aims to establish a terrain correction model which takes terrain error into account to promote the accuracy of GLOBMAP LAI product. Based on the measured LAI data， Landsat TM data， GLOBMAP LAI product and elevation data， the model achieved terrain correction by establishing the index relationship between elevation standard deviation and LAI product values. The terrain correction model of GLOBMAP LAI product was established ， and then used to correct the product in the study area. The results indicated that the corrected leaf area index was closer to the ground measured data， and the RMSE between the LAI product and the ground measurement decreases from 2.11 to 2.04. The standard deviation of the corrected LAI dataset was reduced from 2.08 to 1.69， which meant the terrain error could be eliminated. The method in this paper had well completed the terrain correction of LAIproduct. The model is meaningful to improve the accuracy of LAI product.