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Estimating Winter Annual Biomass in the Sonoran and Mojave Deserts with Satellite- and Ground-Based Observations

机译:利用卫星和地面观测资料估算索诺兰沙漠和莫哈韦沙漠的冬季年度生物量

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Winter annual plants in southwestern North America influence fire regimes, provide forage, and help prevent erosion. Exotic annuals may also threaten native species. Monitoring winter annuals is difficult because of their ephemeral nature, making the development of a satellite monitoring tool valuable. We mapped winter annual aboveground biomass in the Desert Southwest from satellite observations, evaluating 18 algorithms using time-series vegetation indices (VI). Field-based biomass estimates were used to calibrate and evaluate each algorithm. Winter annual biomass was best estimated by calculating a base VI across the period of record and subtracting it from the peak VI for each winter season (R2 = 0.92). The normalized difference vegetation index (NDVI) derived from 8-day reflectance data provided the best estimate of winter annual biomass. It is important to account for the timing of peak vegetation when relating field-based estimates to satellite VI data, since post-peak field estimates may indicate senescent biomass which is inaccurately represented by VI-based estimates. Images generated from the best-performing algorithm show both spatial and temporal variation in winter annual biomass. Efforts to manage this variable resource would be enhanced by a tool that allows the monitoring of changes in winter annual resources over time.
机译:北美西南部的冬季一年生植物会影响火势,提供草料并帮助防止侵蚀。外来一年生植物也可能​​威胁到本地物种。由于具有短暂性,因此难以监测冬季年度,因此开发卫星监测工具非常有价值。我们通过卫星观测绘制了西南沙漠冬季年度地上生物量的图,使用时序植被指数(VI)评估了18种算法。基于现场的生物量估计值用于校准和评估每种算法。最好通过估算记录期内的基础VI,然后从每个冬季的高峰VI中减去基础VI来估算冬季年度生物量(R 2 = 0.92)。从8天反射率数据得出的归一化差异植被指数(NDVI)提供了冬季年度生物量的最佳估计。在将基于野外的估计与卫星VI数据相关联时,考虑峰值植被的时机非常重要,因为峰后野外估计可能表明衰老的生物量无法准确地由基于VI的估计表示。由性能最佳的算法生成的图像显示了冬季年度生物量的时空变化。可以通过监视冬季年度资源随时间变化的工具来增强管理这种可变资源的努力。

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