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首页> 外文会议>Ecosystems Dynamics, Ecosystem-Society Interactions, and Remote Sensing Applications for Semi-Arid and Arid Land >Monitoring the hydrologic and vegetation dynamics of arid land with satellite remote sensing and mathematic modeling
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Monitoring the hydrologic and vegetation dynamics of arid land with satellite remote sensing and mathematic modeling

机译：利用卫星遥感和数学模型监测干旱土地的水文和植被动态

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Terrestrial ecosystems, in which carbon is retained in live biomass, play an important role in the global carbon cycling. Among these ecological systems, vegetation and soils in deserts and semi deserts control significant proportions in the total carbon stocks on the land surface and the carbon fluxes between the land surface and the atmosphere (IPCC special report: Land Use, Land Use Change and Forestry, June 2000). Therefore, accurate assessment of the carbon stocks and fluxes of the desert and semi desert areas at regional scales is required in global carbon cycle studies. In addition, vegetative ecosystem in semi-arid and arid land is strongly dependent on the water resources. Monitoring the hydrologic processes of the land is thus also required. This work explores the methodology for the sequential continuous estimation of the carbon stocks, CO_2 flux, evapotranspiration, and sensible heat fluxes over desert and semi-desert area using data from the Jornada desert in New Mexico, USA. A CO_2 and energy flux coupled model is used to estimate CO_2, water vapor and sensible heat fluxes over the desert area. The model is driven by the observed meteorological data. Its input land surface parameters are derived from satellite images. Simulated energy fluxes are validated for specific sites with eddy covariance observations. Based on the output of spatially distributed CO_2 fluxes, carbon accumulations over the desert area during a period of time is calculated and the contribution of the desert ecosystem to the atmospheric carbon pool is discussed.
机译：碳保留在活生物质中的陆地生态系统在全球碳循环中发挥着重要作用。在这些生态系统中，荒漠和半荒漠的植被和土壤控制着陆地表面总碳储量和陆地表面与大气之间的碳通量的很大比例（IPCC特别报告：土地利用，土地利用变化和林业， 2000年6月）。因此，在全球碳循环研究中，需要在区域范围内准确评估沙漠和半沙漠地区的碳储量和通量。此外，半干旱和干旱土地上的植物生态系统强烈依赖于水资源。因此，还需要监测土地的水文过程。这项工作探索了使用来自美国新墨西哥州约纳达沙漠的数据连续连续估算沙漠和半沙漠地区的碳储量，CO_2通量，蒸散量和显热通量的方法。利用CO_2和能量通量耦合模型来估计沙漠地区的CO_2，水蒸气和显热通量。该模型由观测到的气象数据驱动。它的输入陆地表面参数是从卫星图像得出的。通过涡度协方差观测，对特定位置的模拟能量通量进行了验证。基于空间分布的CO_2通量的输出，计算了一段时间内沙漠地区的碳积累，并讨论了沙漠生态系统对大气碳库的贡献。

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