In terrestrial and marine ecosystems, remote sensing has been used to estimate gross primary productivity (GPP) for decades, but few applications exist for shallow freshwater ecosystems.Here we show field-based GPP correlates with satellite and airborne lake color across a range of optically and limnologically diverse lakes in interior Alaska. A strong relationship between in situ GPP derived from stable oxygen isotopes (δ 18 O) and space-based lake color from satellites (e.g. Landsat-8, Sentinel-2 and CubeSats) and airborne imagery (AVIRIS-NG) demonstrates the potential power of this technique for improving spatial and temporal monitoring of lake GPP when coupled with additional field validation measurements across different systems. In shallow waters clear enough for sunlight to reach lake bottoms, both submerged vegetation (macrophytes and algae) and phytoplankton likely contribute to GPP. The stable isotopes and remotely sensed shallow lake color used here in...

中文翻译：

---

卫星和机载遥感对阿拉斯加北部湖泊的总初级生产力

在陆地和海洋生态系统中，几十年来，遥感技术一直被用于估算总初级生产力（GPP），但对于浅水淡水生态系统却很少有应用。这里我们展示了基于野外的GPP与卫星和空中湖泊颜色在一系列光学上的相关性和阿拉斯加内陆的不同语言的湖泊。稳定氧同位素（δ18 O）衍生的原位GPP与卫星（例如Landsat-8，Sentinel-2和CubeSats）和航空影像（AVIRIS-NG）的天基湖泊颜色之间存在密切关系，证明了潜在的力量与跨不同系统的其他现场验证测量结合使用时，该技术可改善GPP湖的时空监测。在浅水区，足以让阳光直射到湖底，淹没的植被（大型藻类和藻类）和浮游植物都可能对GPP产生影响。这里使用的稳定同位素和遥感浅湖颜色...