TITLE:
Monitoring the Sewage Draining in Shenzhen Reservoirs Using Hyperspectral Data
AUTHORS:
Yin Li, Wei Pan, Xiaomao Yang, Qinglin Tian
KEYWORDS:
Hyperspectral; Water; Hymap; Shenzhen Reservoirs
JOURNAL NAME:
Journal of Computer and Communications,
Vol.2 No.2,
January
10,
2014
ABSTRACT: Freshwater resources are regarded as the
foundation of urban development and assure the sustainable prosperity of the
city. The contaminations of fresh water in reservoirs can threaten safety of
people directly and force the Industrial processes to be suspended. Therefore,
developing a method to detect the potential locations where contaminated water
drains off into the reservoirs efficiently and precisely is a challenging task
but in urgent need. In this research, we used the air-borne sensor Hymap to get
the hyperspectral data of Shenzhen. Finally we find a way to invert five water
quality parameters (Suspended Solid (SS), Total Nitrogen (TN), Total Phosphorus (TP), Chemical Oxygen
Demand (COD), Biochemical Oxygen Demand (BOD5)) from the Hymap image and we
distinguish the clear water and polluted water on the image successfully.