Though coarse in spatial resolution, the nearly all weather measurements from passive microwave sensors can help in improving the spatio‐temporal coverage of optical and thermal infrared sensors for monitoring vegetation changes on the land surface. This study demonstrates the use of vegetation optical depth (VOD) retrievals from the Soil Moisture Active Passive mission for capturing the vegetation alterations from the recent 2019 to 2020 Australian bushfires and drought. The impact of vegetation disturbances on terrestrial water budget is examined by assimilating the VOD retrievals into a dynamic phenology model. The results demonstrate that assimilating VOD observations lead to improved simulation of evapotranspiration, runoff, and soil moisture states. The study also demonstrates that the vegetation changes from the 2019 to 2020 Australian drought and fires led to significant modifications in the partitioning of evaporative and runoff fluxes, resulting in increased bare soil evaporation, reduced transpiration, and higher runoff.

中文翻译：

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2019–2020年澳大利亚的干旱和森林大火改变了水文通量的划分

尽管空间分辨率很粗糙，但无源微波传感器的几乎所有天气测量值都可以帮助改善光学和热红外传感器的时空覆盖范围，以监测陆地表面的植被变化。这项研究表明，利用土壤水分主动被动任务中的植被光学深度（VOD）检索技术可以捕获最近2019年至2020年澳大利亚丛林大火和干旱的植被变化。通过将VOD检索同化为动态物候模型，研究了植被扰动对地面水预算的影响。结果表明，吸收VOD观测值可以改善蒸散量，径流和土壤湿度状态的模拟。