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Yun Chen  - - - 
Top co-authors See all
Lei Gao

280 shared publications

Shanghai Key Laboratory of Materials Protection and Advanced Materials in Electric Power, Shanghai University of Electric power, Shanghai 200090, China

Chang Huang

221 shared publications

Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity; Northwest University; Xi'an China

L. Ding

148 shared publications

Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai, China

Shahbaz Khan

88 shared publications

Charles Sturt University; Wagga Wagga Australia

Quan Bai

59 shared publications

School of Engineering, Computer & Mathematical Sciences, Auckland University of Technology, Auckland, New Zealand

Publication Record
Distribution of Articles published per year 
(2011 - 2016)
Total number of journals
published in
Publications See all
Conference 4 Reads 0 Citations Mapping Lake-water area at sub-pixel scale using Suomi NPP-VIIRS imagery Chang Huang, Yun Chen, Shiqiang Zhang Published: 22 November 2016
The 1st International Electronic Conference on Water Sciences, doi: 10.3390/ecws-1-f001
DOI See at publisher website
Article 3 Reads 19 Citations The Strengths and Limitations in Using the Daily MODIS Open Water Likelihood Algorithm for Identifying Flood Events Catherine Ticehurst, Juan Pablo Guerschman, Chen Yun, Yun Ch... Published: 27 November 2014
Remote Sensing, doi: 10.3390/rs61211791
DOI See at publisher website ABS Show/hide abstract
Daily, or more frequent, maps of surface water have important applications in environmental and water resource management. In particular, surface water maps derived from remote sensing imagery play a useful role in the derivation of spatial inundation patterns over time. MODIS data provide the most realistic means to achieve this since they are daily, although they are often limited by cloud cover during flooding events, and their spatial resolutions (250–1000 m pixel) are not always suited to small river catchments. This paper tests the suitability of the MODIS sensor for identifying flood events through comparison with streamflow and rainfall measurements at a number of sites during the wet season in Northern Australia. This is done using the MODIS Open Water Likelihood (OWL) algorithm which estimates the water fraction within a pixel. On a temporal scale, cloud cover often inhibits the use of MODIS imagery at the start and lead-up to the peak of a flood event, but there are usually more cloud-free data to monitor the flood’s recession. Particularly for smaller flood events, the MODIS view angle, especially when the view angle is towards the sun, has a strong influence on total estimated flood extent. Our results showed that removing pixels containing less than 6% water can eliminate most commission errors when mapping surface water. The exception to this rule was for some spectrally dark pixels occurring along the edge of the MODIS swath where the relative azimuth angle (i.e., angle between the MODIS’ and sun’s azimuth angle) was low. Using only MODIS OWL pixels with a low view angle, or a range distance of less than 1000 km, also improves the results and minimizes multi-temporal errors in flood identification and extent. Given these limitations, MODIS OWL surface water maps are sensitive to the dynamics of water movement when compared to streamflow data and does appear to be a suitable product for the identification and mapping of inundation extent at large regional/basin scales.
Article 8 Reads 6 Citations Evaluating Water Management Practice for Sustainable Mining Xiangfeng Zhang, Lei Gao, Damian Barrett, Yun Chen Published: 24 February 2014
Water, doi: 10.3390/w6020414
DOI See at publisher website ABS Show/hide abstract
To move towards sustainable development, the mining industry needs to identify better mine water management practices for reducing raw water use, increasing water use efficiency, and eliminating environmental impacts in a precondition of securing mining production. However, the selection of optimal mine water management practices is technically challenging due to the lack of scientific tools to comprehensively evaluate management options against a set of conflicting criteria. This work has provided a solution to aid the identification of more sustainable mine water management practices. The solution includes a conceptual framework for forming a decision hierarchy; an evaluation method for assessing mine water management practices; and a sensitivity analysis in view of different preferences of stakeholders or managers. The solution is applied to a case study of the evaluation of sustainable water management practices in 16 mines located in the Bowen Basin in Queensland, Australia. The evaluation results illustrate the usefulness of the proposed solution. A sensitivity analysis is performed according to preference weights of stakeholders or managers. Some measures are provided for assessing sensitivity of strategy ranking outcomes if the weight of an indicator changes. Finally, some advice is given to improve the mine water management in some mines.
Article 3 Reads 8 Citations Estimate of flood inundation and retention on wetlands using remote sensing and GIS Yun Chen, Bing Wang, Carmel A. Pollino, Susan M. Cuddy, Lind... Published: 17 January 2014
Ecohydrology, doi: 10.1002/eco.1467
DOI See at publisher website
Article 4 Reads 37 Citations An Evaluation of MODIS Daily and 8-day Composite Products for Floodplain and Wetland Inundation Mapping Yun Chen, Chang Huang, Linda Merrin, Peter Thew, Catherine T... Published: 24 June 2013
Wetlands, doi: 10.1007/s13157-013-0439-4
DOI See at publisher website
Article 2 Reads 2 Citations Three Dimensional Conceptualisation of Hydrogeological Environment to Underpin Groundwater Management in Irrigation Area Yun Chen, Shahbaz Khan, Tariq Rana, Akhtar Abbas, Heinz Buet... Published: 29 June 2012
Water Resources Management, doi: 10.1007/s11269-012-0095-0
DOI See at publisher website