Aquatic vegetation mapping based on remote sensing imagery: An application to Honghu Lake

Aquatic vegetation plays an important role in the maintenance of wetland biodiversity and ecological function. As the complex spectral characteristics and growth environment, the temporal and spatial distribution of aquatic vegetation is affected by many factors. According to aquatic vegetation´s ecological characteristics, this paper analyzes the selection and extraction of optimal feature images that benefits aquatic vegetation classification. Next, classification knowledge mining and classifier building based on these feature images are discussed. Finally, this paper proposes a new aquatic vegetation information extraction method by remote sensing techniques.