Water resource monitoring exploiting sentinel-2 and sentinel-2 like time series; application in yangtze river water bodies

BRIANT Julien; HUBER Claire; STUDER Mathias; CAO Lei; YI Kunpeng; YÉSOU Hervé

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Water resource monitoring exploiting sentinel-2 and sentinel-2 like time series; application in yangtze river water bodies
Vol. 24, Issue S1, Pages: 147-153(2020)
Published：07 June 2020
DOI：
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Briant J,Huber C,Studer M,Cao L,Yi K P and Yésou H 2020. Water resource monitoring exploiting sentinel-2 and sentinel-2 like time series; application in yangtze river water bodies. Journal of Remote Sensing(Chinese). 24(S1): 147-153 DOI：

摘要

Abstract

As part of Dragon 4 project

the water extents of Wuchang and Shengjin lakes have been extracted from Sentinel-2 time series

using all exploitable images since the beginning of the acquisitions in 2015. The aim of the study is to assess the capability of the Sentinel-2 constellation and Landsat 8 over the Anhui region

especially the high temporal resolution. A total of 32 dates have been used and 10 Landsat 8 images (Libra) have been added to try to reduce the temporal gaps in the Sentinel-2 acquisitions caused by cloudy conditions. Extractions were done using a SERTIT-ICube automatized routine based on a supervised Maximum Likelihood Classification. These extractions allow to recreate the dynamic of the two lakes and show the drought and wet periods. During the 3 years interval

the surface peaks on July 2016 for both lakes. The lowest level appears at two different dates for each lake; on January 2018 for Wuchang

on February 2017 for Shengjin. Wuchang Lake surface area appears to be more variable than Shengjin Lake

with many local maximum and minimum between the end of 2017 and April 2018. In the case of Wuchang Lake

floating vegetation is a problem for automatic water surface area extraction. The lake is covered by vegetation during long periods of time and the water below can't be detected by automatic radiometric means. Nevertheless

Sentinel-2 stays a pertinent and powerful tool for hydrological monitoring of lakes confirming the expectation from the remote sensing wetland community before launch. The presence of NIR and SWIR bands induces a strong discrimination between water and other classes

and the systematic acquisitions create dense time series

making analysis more consistent. It makes possible to sensor events occurring over short periods of time. Thanks to this a link can be done between endangered bird species

such as the Siberian Crane and the Lesser White-Fronted Goose and periodically flooded areas. These midterm results illustrated the pertinence and powerful of multi-source optical satellite data for environmental analysis.

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