Paper Info
Title
Mapping of Urban Surface Water Bodies from Sentinel-2 MSI Imagery at 10 m Resolution via NDWI-Based Image Sharpening.
Abstract
This study conducts an exploratory evaluation of the performance of the newly available Sentinel-2A Multispectral Instrument (MSI) imagery for mapping water bodies using the image sharpening approach. Sentinel-2 MSI provides spectral bands with different resolutions, including RGB and Near-Infra-Red (NIR) bands in 10 m and Short-Wavelength InfraRed (SWIR) bands in 20 m, which are closely related to surface water information. It is necessary to define a pan-like band for the Sentinel-2 image sharpening process because of the replacement of the panchromatic band by four high-resolution multi-spectral bands (10 m). This study, which aimed at urban surface water extraction, utilised the Normalised Difference Water Index (NDWI) at 10 m resolution as a high-resolution image to sharpen the 20 m SWIR bands. Then, object-level Modified NDWI (MNDWI) mapping and minimum valley bottom adjustment threshold were applied to extract water maps. The proposed method was compared with the conventional most related band- (between the visible spectrum/NIR and SWIR bands) based and principal component analysis first component-based sharpening. Results show that the proposed NDWI-based MNDWI image exhibits higher separability and is more effective for both classification-level and boundary-level final water maps than traditional approaches.
Year
DOI
Venue
2017
10.3390/rs9060596
REMOTE SENSING
Keywords
Field
DocType
water extraction,water indices,Sentinel-2,multi-spectral remote sensing mapping
Sharpening,Panchromatic film,Remote sensing,Multispectral image,Water extraction,RGB color model,Infrared,Geology,Spectral bands,Principal component analysis
Journal
Volume
Issue
Citations 
9
6
12
PageRank 
References 
Authors
0.77
11
5
Name
Order
Citations
PageRank
Xiucheng Yang1327.04
ShanShan Zhao2173.56
Xuebin Qin3327.95
Na Zhao43716.03
Ligang Liang5121.11