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A Landsat classification scheme for assessing the ecological state of flamingo lakes in the East African Rift Valley

机译:一种评估东非裂谷火烈鸟湖泊生态状态的土地上分类方案

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In situ reflectance measurements and Landsat satellite imagery have been used to develop an optical classification scheme for alkaline-saline lakes in the Eastern Rift Valley. The classification allows the ecological state and consequent value to Lesser Flamingos to be determined using Landsat satellite imagery. The classification scheme was able to differentiate six classes - low phytoplankton biomass, sediment dominated waters, microphytobenthos, high biomass cyanobacteria, cyanobacterterial scum and bleached cyanobacterial scum - with a classification accuracy of 77 % when verified against in situ measurements. Classified imagery and timeseries showed the different ecological behaviours of these complex systems and highlighted the importance to flamingos of the food resources offered by highly remote Lake Logipi.
机译:原位反射率测量和Landsat卫星图像已被用于开发东部裂谷中碱性盐水湖的光学分类方案。分类允许使用Landsat卫星图像来确定的生态状态和随后的值较少的火烈鸟。分类方案能够区分六种阶级 - 低浮游植物,沉积物主导的水,微粒菌,高生物量蓝杆菌,蓝藻和漂白的蓝藻浮渣 - 当验证原位测量时,分类精度为77%。分类图像和时期显示了这些复杂系统的不同生态行为,并强调了高度偏远的Lake Logipi提供的食品资源火烈鸟的重要性。

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