Integrating Remotely Sensed Data and Bio-optical Model to Monitor Water Quality in High Turbid Case-2Waters

湖泊作为饮用水、农业、工业、渔业、娱乐和旅游业的淡水资源发挥着重要作用。然而，富营养化加速是世界各地湖泊普遍存在的重大问题。在这项研究中，我们提出了一个新的指标和两个新的方法来长期监测浑浊湖泊的水质。我们在两个浑浊的亚洲湖泊中测试了这些指数和方法，并获得了可以接受的现场数据集和卫星图像的精度。

Lakes play important roles as freshwater resources for drinking, agriculture, industry, fishing, recreation, and tourism. However, accelerated eutrophication is a widespread and significant problem for lakes around the world. In this study, we proposed one new index and two new methods for long-term monitoring of water quality in turbid lakes. We tested these index and methods in two turbid Asian lakes and obtained acceptable accuracies both for in situ datasets and satellite images.