Paper Info
Title
High Spatiotemporal Resolution Mapping of Surface Water in the Southwest Poyang Lake and Its Responses to Climate Oscillations.
Abstract
Accurately quantifying spatiotemporal changes in surface water is essential for water resources management, nevertheless, the dynamics of Poyang Lake surface water areas with high spatiotemporal resolution, as well as its responses to climate change, still face considerable uncertainties. Using the time series of Sentinel-1 images with 6- or 12-day intervals, the Sentinel-1 water index (SWI), and SWI-based water extraction model (SWIM) from 2015 to 2020 were used to document and study the short-term characteristics of southwest Poyang Lake surface water. The results showed that the overall accuracy of surface water area was satisfactory with an average of 91.92%, and the surface water area ranged from 129.06 km(2)on 2 March 2017 to 1042.57 km(2)on 17 July 2016, with significant intra- and inter-month variability. Within the 6-day interval, the maximum change of lake area was 233.42 km(2)(i.e., increasing from 474.70 km(2)up to 708.12 km(2)). We found that the correlation coefficient between the water area and the 45-day accumulated precipitation reached to 0.75 (p< 0.001). Moreover, a prediction model was built to predict the water area based on climate records. These results highlight the significance of high spatiotemporal resolution mapping for surface water in the erratic southwest Poyang Lake under a changing climate. The automated water extraction algorithm proposed in this study has potential applications in delineating surface water dynamics at broad geographic scales.
Year
DOI
Venue
2020
10.3390/s20174872
SENSORS
Keywords
DocType
Volume
Poyang Lake,surface water,Sentinel-1,Google Earth Engine,remote sensing,SWI
Journal
20
Issue
ISSN
Citations 
17
1424-8220
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Haifeng Tian100.34
Jian Wang200.34
Jie Pei300.34
Yaochen Qin406.08
Lijun Zhang524537.10
Yongjiu Wang600.34