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Validation of Collection 5 MODIS LAI product by scaling-up method using field measurements

机译:使用现场测量的缩放方法验证Collection 5 Modis Lai产品

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Leaf area index (LAI) is very often a critical parameter in process-based models of vegetation canopy response to global environment change. This paper made an assessment of the Collection 5 MODIS LAI product (MCD15A2) using field sample data in cropland areas. One of the major problems for validating MODIS LAI product using field measurements is the scale mismatch between ground "point" measurements and the MODIS resolutions. In heterogeneous areas, we need to transform field measurements to the scale of MODIS due to scale effect caused by the heterogeneity of land surface. In this study, we performed the scale transformation through fractal method. LAI was measured with the LAI-2000 plant canopy analyzer. The LAI-2000 measurements were multiplied by a clumping index to get true LAI values. The field data was related to 30-m resolution TM images using empirical methods to create reference LAI map. Fractal dimensions for each MODIS pixel were calculated using a triangular prism method based on reference LAI map. Then the field LAI values were upscaled to 1km spatial resolution using the fractal dimension theory. The MODIS LAI product validation results shown that, MODIS LAI are lower than the ground measurements without scale effect correction, but quite close to the upscaled field measured LAI. The conclusion is the fractal dimension theory can be used to solve the scale problem caused by spatial heterogeneity in LAI products validation.
机译:叶面积指数(LAI)通常是基于过程的植被冠层响应的基于过程的临界参数,对全球环境变化。本文使用农田地区的现场样本数据进行评估。使用现场测量验证MODIS LAI产品的主要问题之一是地面“点”测量和MODIS分辨率之间的比例不匹配。在异构地区,由于土地表面的异质性引起的规模效应,我们需要将场测量变换为MODIS的规模。在这项研究中,我们通过分形方法进行了缩放变换。用Lai-2000植物冠层分析仪测量LAI。 LAI-2000测量乘以丛集指数以获得真正的LAI值。现场数据与使用经验方法创建参考LAI地图的经验方法与30米分辨率TM图像相关。使用基于参考LAI地图的三角棱镜法计算每种MODIS像素的分形尺寸。然后使用分形尺寸理论将现场LAI值升高至1km空间分辨率。显示说明的MODIS LAI产品验证结果表明,MODIS LAI低于地面测量而无需缩放效果校正,但非常接近较近的较高型赖。结论是分形尺寸理论可用于解决赖产品验证中的空间异质性引起的规模问题。

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