Remote sensing applications for reservoir water level monitoring, sustainable water surface management, and environmental risks in Quang Nam province, Vietnam

Abstract

Monitoring surface water provides vital information in water management; however, limited data is a fundamental challenge for most developing countries, such as Vietnam. Based on advanced remote sensing technologies, the authors proposed a methodology to process satellite images and use their outcomes to extract surface water in water resource management of Quang Nam province. Results of the proposed study show good agreement with in situ measurement data when the obtained Overall Accuracy and Kappa Coefficient were greater than 90% and 0.99, respectively. Three potential applications based on the surface water results are selected to discuss sustainable water management in Quang Nam province. Firstly, reservoir operating processes can be examined, enhanced, and even developed through long-term extracted water levels, which are the interpolation results between the extracted surface water area and the water level–area–volume curve. Secondly, the long-term morphological change for the Truong Giang river case between 1990 and 2019 can also be detected from the Water Frequency Index performance and provided additional information regarding permanent and seasonal water changes. Lastly, the flood inundation extent was extracted and separated from permanent water to assess the damage of the Mirinae typhoon on 2 November 2009 in terms of population and crop aspects.

Shoreline change dynamics along the Augusta coast, eastern Sicily, South Italy

“…The shorelines dataset included Landsat and Sentinel‐2 imageries from 1972 to 2021 (Figure 3), with a 10‐year interval guaranteed to estimate the shoreline change rates. Only satellite images with a cloud cover percentage below 20% were used (Nassar et al, 2019; Quang, Linh et al, 2021). The Landsat image bands selected are band 6/Short Wave Infrared 1 (SWIR 1) and band 3 (Green).…”

“…The WLR index ranged between a maximum value of 0.4 m/year, detected in correspondence of the Marcellino River mouth within Segment 1, in correspondence of the long sandy beach, and a minimum value of À1.4 m/year, found at the northern part of the Segment 2. However, both segments experienced negative shoreline movements T A B L E 1 Characteristics of Landsat and Sentinel-2 images include sensor type, spatial resolution, number of bands, near-infrared (NIR) and repeat cycle (Cao et al, 2020;Quang, Linh et al, 2021). to 1991, but the tendency significantly decreased, and negative shoreline shifts of small entities were detected between 1991 and 2021.…”

“…However, in recent times, the extensive man‐made modifications of coasts and lands, that is, ports, coastal defence structures and human settlements, become key factors in triggering coastal dynamic changes (Chu et al, 2020; Di Stefano et al, 2013; Fletcher et al, 2012). As such, many studies on shoreline changes throughout the world have been carried out over the last few years (Aladwani, 2022; Bacino et al, 2020; Borzì et al, 2021; Quang, Linh et al, 2021). Shoreline change analysis methods that have been applied worldwide comprise the use of video images introduced by Holman et al (1993), Plant and Holman (1997) and Lippmann and Holman (1989), numerical modelling by applying continuity equation in LITPACK software (Rezaee et al, 2019), and computation of End Point Rate (EPR), Linear Regression Rate (LRR) and Weighted Linear Regression Rate (WLR) statistical parameters from image analysis utilizing Digital Shoreline Analysis System (DSAS) software (Johnston et al, 2023; Laksono, Borzì et al, 2022; Santos et al, 2021).…”

A remote sensing approach to explore the available water spread for fisheries development in the reservoirs of Godavari River Basin, Telangana, India

“…Management of the dams and reservoirs in the developing countries is a challenging task due to the nature of services offered by them to various stakeholders, lack of proper documentation and consistent monitoring as the records of these resources have the least access for planning and research (Peng et al, 2006;Gao et al, 2012;Quang et al, 2021). Remote sensing and Geographic Information System (GIS) are used for the assessment of the water resources by providing spatial and temporal data which are utilised in marking the dynamics of inland water bodies (Kapetsky, 1987;Avisse et al, 2017;Ingole et al, 2018;Sreekanth et al, 2021) and fisheries management (Eder and Neely, 2013).…”

WaterMaskAnalyzer (WMA)—A User-Friendly Tool to Analyze and Visualize Temporal Dynamics of Inland Water Body Extents

“…By using freely available satellite data with high temporal and sufficient spatial resolution, the hydrological database can be considerably expanded and thus contribute to the fulfillment of official administrative tasks. The areas of application are diverse, from public health topics to extreme events, such as drought and floods [3]. Low water levels also have a negative impact on water quality, on which drinking water reservoirs and the population they supply are particularly dependent.…”