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Mapping of Urban Surface Water Bodies from Sentinel-2 MSI Imagery at 10 m Resolution via NDWI-Based Image Sharpening

Xiucheng Yang, Shanshan Zhao, Xuebin Qin, Na Zhao, Ligang Liang
2017 Remote Sensing  
Water bodies in urban areas [12] are frequently small and surrounded by complex built-up areas, vegetation, and their shadows.  ...  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.  ...  These two indices are combined to overcome shadow in urban areas.  ... 
doi:10.3390/rs9060596 fatcat:l3hp36whd5gadi2hdbmwsjy6xq

Urban surface water body detection with suppressed built-up noise based on water indices from Sentinel-2 MSI imagery

Xiucheng Yang, Qiming Qin, Pierre Grussenmeyer, Mathieu Koehl
2018 Remote Sensing of Environment  
For shadow areas, some research combined the shadow detection approaches, such as the shadow index (Huang et al., 2015) and the relationship with buildings (Yao et al., 2015) to reduce the false alarms  ...  It consists of two separate indices: AWEI nsh for urban areas where shadow is not an important factor and AWEI sh in urban areas with dramatic shadow areas.  ... 
doi:10.1016/j.rse.2018.09.016 fatcat:sikq6quo5zc4na5ryoizr2zk64

A comparative analysis of index-based methods for impervious surface extraction using multi-seasonal Sentinel-2 satellite data

Congmin Li, Zhenfeng Shao, Lei Zhang, Xiao Huang, Ming Zhang
2021 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
Studies have shown that Sentinel-2 images have advantages over Landsat images in impervious surface area (ISA) extraction.  ...  (BCI_PCP), Normalized Built-up Area Index (NBAI), Combinational Build-up Index (CBI), and Perpendicular Impervious Surface Index (PISI)) and three impervious surface binary methods (i.e., Otsu's method  ...  [30] to extract bare soil and built-up area from Landsat imagery and can be computed as follows: 3) Combinational Build-up index (CBI) The CBI [33] takes advantage of three indices to map ISA: the  ... 
doi:10.1109/jstars.2021.3067325 fatcat:g5tse7g7cvewdiiivg45uc27uq

Object-Based Shadow Index via Illumination Intensity from High Resolution Satellite Images over Urban Areas

Haoyang Fu, Tingting Zhou, Chenglin Sun
2020 Sensors  
For multi-spectral remote sensing imagery, accurate shadow extraction is of great significance for overcoming the information loss caused by high buildings and the solar incidence angle in urban remote  ...  In addition, all the disturbances from water body were excluded well when using the OSI, except for the GF-2 data in weak shadows.  ...  Jilin Center for Data and Application of High-resolution Earth Observation System in Jilin University.  ... 
doi:10.3390/s20041077 pmid:32079156 pmcid:PMC7070997 fatcat:aoouk6pq55hjjjjnym6ssc75ty

An Effective Water Body Extraction Method with New Water Index for Sentinel-2 Imagery

Wei Jiang, Yuan Ni, Zhiguo Pang, Xiaotao Li, Hongrun Ju, Guojin He, Juan Lv, Kun Yang, June Fu, Xiangdong Qin
2021 Water  
extract various water body types with high overall accuracy. (3) The method effectively extracted large water bodies and wide river channels by suppressing shadow noise in urban areas.  ...  Our results suggested that the novel method can achieve efficient water body extraction for rapidly and accurately extracting various water bodies from Sentinel-2 data and the novel method has application  ...  Due to the complex background of urban areas and building shadows, it is a great challenge to use water indices to extract water bodies in urban areas [42] .  ... 
doi:10.3390/w13121647 fatcat:mvlttjccczfi5ho5qafc7gd3pe

Preliminary Evaluation of the Consistency of Landsat 8 and Sentinel-2 Time Series Products in An Urban Area—An Example in Beijing, China

Zhen Nie, Karen Kie Yan Chan, Bing Xu
2019 Remote Sensing  
Landsat 8 OLI and Sentinel-2 MSI data are combined in many applications but few studies haves focused on either urban change or consistency between these two data in time series.  ...  MNDWI) were calculated in this study and the results of the built-up area identified by IBI derived from the above three indices were compared.  ...  This may include administrative and technical support, or donations in kind (e.g., materials used for experiments). Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs11242957 fatcat:xeseopojqbextcp3mdegunzsdu

Open-Surface River Extraction Based on Sentinel-2 MSI Imagery and DEM Data: Case Study of the Upper Yellow River

Dan Li, Baosheng Wu, Bowei Chen, Chao Qin, Yanjun Wang, Yi Zhang, Yuan Xue
2020 Remote Sensing  
In this study, we effectively extract small and open-surface river information in the Upper Yellow River by fusing Sentinel-2 with 10 m resolution optical imagery corresponding to average discharge of  ...  Sentinel-2 MSI images with a spatial resolution of 10 m are used to find that the rivers over 30 m wide can be connectedly, accurately extracted with the proposed method.  ...  The proposed method can be used along with Sentinel-2 MSI imagery to extract rivers at least 30 m in width in mountain regions.  ... 
doi:10.3390/rs12172737 fatcat:rqaqbxd62rgsbo3qjbiilpc2wy

Enhanced Urban Sprawl Monitoring over the Entire District of Rome through Joint Analysis of ALOS AVNIR-2 and SENTINEL-2A Data

Emanuele Loret, Luca Martino, Maurizio Fea, Francesco Sarti
2017 Advances in Remote Sensing  
Statistical analysis was performed via the Urban Area Profile index in order to quantify the sprawl phenomenon, by defining several landscape metrics.  ...  The use of Copernicus SENTINEL-2A imagery has improved the previous results on urban processes, by reducing the uncertainty of the discrimination of land cover classes and facilitating the photo-interpretation  ...  Acknowledgements The support of ESA/ESRIN in image availability and technical tools is kindly E. Loret et al. 86 acknowledged.  ... 
doi:10.4236/ars.2017.61006 fatcat:u2q7u3tj6bgtrjbaf3dwf4rvb4

Contribution of Sentinel-2/Landsat-8 OLI Images to Extracting Vegetation Cover and Wetlands Area in Urban Zones: Case of the Dakar Region (Senegal)

Dome Tine, Gayane Faye, Omar Marico, Modou Mbaye, Landing Biaye, Mbagnick Faye, Guilgane Faye
2021 Journal of Geographic Information System  
., Faye, M. and Faye, G. (2021) Contribution of Sentinel-2/Landsat-8 OLI Images to Extracting Vegetation Cover and Wetlands Area in Urban Zones: Case of the Dakar Region (Senegal).  ...  This work aims to analyse the capacity of satellite sensors for mapping vegetation and wetlands in urban areas.  ...  Results obtained from NDVI thresholding show the MSI sensor is more suitable for extracting urban vegetation.However, a second index, the SAVI (Soil Adjusted Vegetation Index), which takes into account  ... 
doi:10.4236/jgis.2021.134029 fatcat:y2x5hq7jifbj7miymv7x456fve

A Deep Learning Method of Water Body Extraction From High Resolution Remote Sensing Images With Multi-sensors

Mengya Li, Penghai Wu, Biao Wang, Honglyun Park, Yang Hui, Wu Yanlan
2021 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
Water body extraction from remote sensing images is an important task. Deep learning has become a more popular method for extracting water bodies from remote sensing images.  ...  Through the DLFC, we can fuse the spatial and spectral information for the remote sensing images that can extract water body from different remote sensing images.  ...  the urban shadow index to map the water surface [19] .  ... 
doi:10.1109/jstars.2021.3060769 fatcat:bpl746mtejbataudaxbjmkvznm

Automated Training Data Generation from Spectral Indexes for Mapping Surface Water Extent with Sentinel-2 Satellite Imagery at 10 m and 20 m Resolutions

Kristofer Lasko, Megan C. Maloney, Sarah J. Becker, Andrew W. H. Griffin, Susan L. Lyon, Sean P. Griffin
2021 Remote Sensing  
This study presents an automated methodology to generate training data for surface water mapping from a single Sentinel-2 granule at 10 m (4 band, VIS/NIR) or 20 m (9 band, VIS/NIR/SWIR) resolution without  ...  the need for ancillary training data layers.  ...  The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.  ... 
doi:10.3390/rs13224531 fatcat:6v2orw3j7nerbnty746c5wyjne

Open Surface Water Mapping Algorithms: A Comparison of Water-Related Spectral Indices and Sensors

Yan Zhou, Jinwei Dong, Xiangming Xiao, Tong Xiao, Zhiqi Yang, Guosong Zhao, Zhenhua Zou, Yuanwei Qin
2017 Water  
This study demonstrates the improved performance in Landsat 8 and Sentinel-2 for open surface water body mapping efforts.  ...  (LSWI), as well as three medium resolution sensors (Landsat 7 ETM+, Landsat 8 OLI, and Sentinel-2 MSI).  ...  [41] proposed an automated water extraction index (AWEI) in 2013, and furthermore, they used different formats of AWEI for scenes with shadows (AWEIsh) and without shadows (AWEInsh).  ... 
doi:10.3390/w9040256 fatcat:uxpp6ivz5jdohj3wqdxtbxbvxa

Mozambique flood (2019) Caused by Tropical Cyclone Idai monitored fromSentinel-1 and Sentinel-2 images

Jinyun Guo, Yujie Luan, Zhen Li, Xin Liu, Chengming Li, Xiaotao Chang
2021 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
Water is preliminarily extracted from Sentinel-1 image, and shadows of mountain and buildings in the study area are extracted from Sentinel-2 image.  ...  Mountain shadow is extracted based on the decision tree classification rules constructed by the digital elevation model and the index model, while building shadow is extracted by constructing the decision  ...  ACKNOWLEDGMENT We thank ESA for providing Sentinel-1 and Sentinel-2 data (https://scihub.copernicus.eu/). We thank Prof. Peng Gong for providing FROM-GLC10 data (http://data.ess.tsinghua.edu.cn/).  ... 
doi:10.1109/jstars.2021.3107279 fatcat:opjozxtzenfljlxjxkuoewlvlq

Mapping Aquaculture Areas with Multi-Source Spectral and Texture Features: A Case Study in the Pearl River Basin (Guangdong), China

Yue Xu, Zhongwen Hu, Yinghui Zhang, Jingzhe Wang, Yumeng Yin, Guofeng Wu
2021 Remote Sensing  
The backscattering and texture features derived from the synthetic aperture radar (SAR) images of Sentinel-1A were then used to distinguish aquaculture areas from other geographical entities.  ...  Time series optical Sentinel-2 images were first employed to derive spectral indices for obtaining texture features.  ...  Acknowledgments: We thank Xia at Eastern China Normal University for providing their code and Duan at Jiangsu Normal University for providing their aquaculture map for comparison.  ... 
doi:10.3390/rs13214320 fatcat:hlduexjgdjezbixjrsjrnnfhwe

Impervious Surfaces Mapping at City Scale by Fusion of Radar and Optical Data through a Random Forest Classifier

Binita Shrestha, Haroon Stephen, Sajjad Ahmad
2021 Remote Sensing  
Therefore, this study aims to fuse datasets from the Sentinel 1 and 2 Satellites to map the impervious surfaces of nine Pakistani cities and estimate their growth rates from 2016 to 2020 utilizing the  ...  The information obtained can alert urban planners and environmentalists to assess impervious surface impacts in the cities.  ...  Acknowledgments: The publication fees for this article were supported by the UNLV University Libraries Open Article Fund.  ... 
doi:10.3390/rs13153040 fatcat:zovkcbsegngydm35jrk5f2ki3e
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