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首页> 外文学位 >Assessing the accuracy of the MODIS LAI 1-km product in southeastern United States loblolly pine plantations: Accounting for measurement variance from ground to satellite.
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Assessing the accuracy of the MODIS LAI 1-km product in southeastern United States loblolly pine plantations: Accounting for measurement variance from ground to satellite.

机译：评估美国东南部火炬松人工林中MODIS LAI 1公里产品的准确性：考虑从地面到卫星的测量差异。

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Leaf area index (LAI), defined here as one-half of the total leaf area per unit ground surface area (Chen, 1996), has been estimated at a global scale from spectral data processed from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor aboard two NASA EOS-AM spacecraft, Terra (launched in 1999) and Aqua (launched in 2002). The MOD15A2 LAI product is a 1 km global data product composited over an 8-day period and is derived from a three-dimensional radiative transfer model driven by an atmosphere corrected surface reflectance product (MOD09), a land cover product (MOD12) and ancillary information on surface characteristics. The United States Environmental Protection Agency (US EPA) initiated validation research (2002) in the evergreen needle leaf biome, as defined in the MOD12 classification, in a regional study located in the southeastern United States. The validation effort was prompted by the potential use of MODIS LAI inputs into atmospheric deposition and biogenic emission models developed within the US EPA Office of Research and Development. The MODIS LAI validation process involves the creation of a high spatial resolution LAI surface map, which when scaled to the MOD15A2 resolution (1 km) allowed for comparison and analysis with the 1 km MODIS LAI product. Creation of this LAI surface map involved: (1) the collection of in situ LAI measurements via indirect optical measurements, (2) the correlation of land cover specific LAI estimates with spectral values retrieved from high resolution imagery (20 m--30 m), and (3) the aggregation of these 30 m cells to 1 km spatial resolution, matching the resolution of the MODIS product and enabling a comparison of the two LAI values (Morisette et al. 2006). This research assessed the uncertainty associated with the creation of the high-resolution LAI reference map, specifically addressing uncertainty in the indirect in situ optical measurements of LAI and the uncertainty in the land cover classification process. Also addressed was the influence of vegetative understory on satellite-derived vegetation indices from the IKONOS sensor.
机译：叶面积指数（LAI），这里定义为每单位地面表面积的总叶面积的一半（Chen，1996），是根据中分辨率成像光谱仪（MODIS）传感器处理的光谱数据在全球范围内估算的载有两架NASA EOS-AM航天器：Terra（于1999年发射）和Aqua（于2002年发射）。 MOD15A2 LAI产品是在8天的时间内合成的1 km全球数据产品，它来自由大气校正的表面反射产品（MOD09），土地覆盖产品（MOD12）和辅助产品驱动的三维辐射传输模型。表面特性信息。美国环境保护署（US EPA）在位于美国东南部的一项区域研究中，对MOD12分类所定义的常绿针叶生物群落发起了验证研究（2002年）。验证工作是由MODIS LAI输入可能用于美国EPA研究与开发办公室开发的大气沉积和生物排放模型推动的。 MODIS LAI验证过程涉及创建高空间分辨率LAI表面图，将其缩放到MOD15A2分辨率（1 km）后，可以与1 km MODIS LAI产品进行比较和分析。创建此LAI表面图涉及：（1）通过间接光学测量收集原位LAI测量值；（2）土地覆盖特定LAI估计值与从高分辨率图像（20 m--30 m）检索到的光谱值之间的相关性（3）将这30 m的单元聚合到1 km的空间分辨率，与MODIS产品的分辨率相匹配，并能够比较两个LAI值（Morisette等，2006）。这项研究评估了与高分辨率LAI参考图的创建相关的不确定性，特别是解决了LAI的间接原位光学测量中的不确定性以及土地覆盖分类过程中的不确定性。还解决了植被不足对IKONOS传感器产生的卫星植被指数的影响。

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