USING COUPLED NONNEGATIVE MATRIX FACTORIZATION (CNMF) UN-MIXING
FOR HIGH SPECTRAL AND SPATIAL RESOLUTION DATA FUSION TO ESTIMATE
URBAN IMPERVIOUS SURFACE AND URBAN ECOLOGICAL ENVIRONMENT
T. Wang,H. Zhang,and H. Lin
T. Wang
Institute of Space and Earth Information Science, The Chinese University of Hong Kong, New Territories, Hong Kong
Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, 518057, China
H. Zhang
Institute of Space and Earth Information Science, The Chinese University of Hong Kong, New Territories, Hong Kong
Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, 518057, China
H. Lin
Institute of Space and Earth Information Science, The Chinese University of Hong Kong, New Territories, Hong Kong
Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, 518057, China
Ocean tides and mean sea level (MSL) can show correlations of
short-term variability in addition to the long-term trends, which may combine to increase total water levels at multiple timescales. Such changes may have implications for short-term high-water events such as nuisance flooding. This work analyses the variability in tides in the Hong Kong region to find that small changes in MSL may amplify tidal changes in Hong Kong, suggesting a strong sensitivity of water levels in the region.