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Cloud tolerance of remote-sensing technologies to measure land surface temperature

机译:遥感技术的云容忍度,用于测量地表温度

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摘要

Conventional methods to estimate land surface temperature (LST) from space rely on the thermal infrared (TIR) spectral window and is limited to cloud-free scenes. To also provide LST estimates during periods with clouds, a new method was developed to estimate LST based on passive-microwave (MW) observations. The MW-LST product is informed by six polar-orbiting satellites to create a global record with up to eight observations per day for each 0.25 degrees resolution grid box. For days with sufficient observations, a continuous diurnal temperature cycle (DTC) was fitted. The main characteristics of the DTC were scaled to match those of a geostationary TIR-LST product.
机译:从空间估算陆地表面温度(LST)的常规方法依赖于热红外(TIR)光谱窗口,并且仅限于无云的场景。为了还提供云期间的LST估算,开发了一种新方法来基于被动微波(MW)观测值估算LST。 MW-LST产品由六颗极地轨道卫星通知,以创建一个全球记录,每个0.25度分辨率的网格盒每天最多可进行八次观测。经过足够的观察,安装了连续的昼夜温度周期(DTC)。 DTC的主要特征按比例缩放以匹配对地静止TIR-LST产品的特征。

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