Monitoring Urban Surface Water Bodies Changes Using MNDWI Estimated From Pan-sharpened Optical Satellite Images
VU Anh Tuan, LE Thi Thu Hang et al
VietNam National Space Center, Vietnam Academy of Science and Technology (VAST)
There have been numerous studies using the SWIR band of medium spatial resolution
satellite scenes such as Landsat, Sentinel-2 to extract the surface water. Using satellite data at
morderate resolutions will cause the problem of mixing pixels and result to uncertainty and
limitation. To deal with this challenge, this study focuses on evaluation of using pan-sharpened Short-wavelength infrared (SWIR) band of remote sesing imagery for extracting urban surface water bodies. The SWIR is a parameter of the equation to calculate the Modification of Normalized Difference Water Index (MNDWI) and other water indexes. The pan-sharpened
Short-wavelength infrared (SWIR) band of the Landsat and Setinel-2 images at the better
resolution (as the RGB band of Setinel-2 and panchromatic of Landsat) is used for estimating
the water index and improving the accuracy of surface water bodies extracted. In the applying
for 10-year time serries of Landsat and Setinel-2 images of Hanoi, this study also investgated the methods of pan-sharpening to figure out how to calculate the MNDWI at the higher accuracy.
Event: FIG WW 2019 Hanoi
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