Analysis and Inversion of the Nutritional Status of China’s Poyang Lake Using MODIS Data

Abstract

Lakes are important water resources. Unfortunately, natural factors and human activities, have resulted in declining water quality and eutrophication. These changes directly affect lake ecological environments and the ability for people to live off of the affected water. Satellite remote sensing data is important because it can quickly provide comprehensive, real-time, dynamic water quality information; it must supplement conventional water quality monitoring techniques. In this study, water from the Poyang Lake entryway and surface was collected from April to December in 2009 and analyzed via MODIS remote sensing data. The data and a comprehensive scoring method was used to establish surface water transparency, total phosphorus inversion model, and nutritional status. The results showed that eutrophication averaged at 59.8.; however, the nutritional status varies greatly in the wet season, normal season, and dry season. The nutritional status is highest in dry season, followed by normal season, and lowest in wet season. Moreover, the eutrophication degree increases gradually year by year.