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首页> 外文会议>Remote sensing for agriculture, ecosystems, and hydrology XIX >Surface temperature estimated with Landsat 8 images and geostatistical tools in the northwestern Sao Paulo state
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Surface temperature estimated with Landsat 8 images and geostatistical tools in the northwestern Sao Paulo state

机译：利用Landsat 8影像和地统计学工具估算圣保罗州西北部的地表温度

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In the northwestern side of Sao Paulo state, irrigated crops are replacing natural vegetation, bringing importance for the development and applications of tools to quantify the energy and water balances. Remote sensing together with geostatistical tools are suitable for these tasks, being the surface temperature (T_0) one of the radiation balance modelling input parameters. However, due to the importance of high both spatial and temporal resolutions to capture the dynamics of water and vegetation conditions, when the thermal bands are absent in several high-resolution satellites, applications on water resources studies are limited. This paper aimed to test the Moving Average (MA) and the Nearest Point (NP) geostatistical interpolation methods for estimate To with and without the Landsat 8 (L8) thermal bands by using a net of agrometeorological stations. In the case of using the L8 satellite thermal radiances, the Plank's low was applied to its bands 10 and 11. Without these bands, T_0 was retrieved as residue in the radiation balance. Up scaling the satellite overpass To to daily scale resulted in a root mean square error (RMSE) of only 1.72 and 1.74 K when compared with values resulted from the MA and NP applications with the residual method, respectively. However, the MA method seemed to be more suitable than the NP one, being concluded that the coupled use of high spatial resolution images without a thermal band and interpolated weather data throughout the MA method is suitable for large-scale energy and water balance studies.
机译：在圣保罗州的西北侧，灌溉作物正在取代天然植被，这对于开发和应用量化能量和水平衡的工具至关重要。遥感与地统计工具一起适用于这些任务，这是辐射平衡建模输入参数之一的表面温度（T_0）。但是，由于高时空分辨率对捕获水和植被状况的动态变化的重要性，因此当几枚高分辨率卫星中不存在热带时，水资源研究的应用将受到限制。本文旨在通过使用农业气象站网来测试移动平均（MA）和最近点（NP）地统计插值方法，以估计有无Landsat 8（L8）热带的To。在使用L8卫星热辐射的情况下，木板的低点应用于其波段10和11。在没有这些波段的情况下，T_0被作为辐射天平中的残留物回收。与分别采用残差法的MA和NP应用产生的值进行比较时，将卫星立交桥放大到每日规模时，仅产生1.72和1.74 K的均方根误差（RMSE）。但是，MA方法似乎比NP方法更适合，可以得出结论，在整个MA方法中结合使用不带热带和内插天气数据的高空间分辨率图像，适合进行大规模的能量和水平衡研究。

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