Abstract
Integrated water resources management requires consistent and accurate data on available water storage in reservoirs as well as water stress level. Vietnam is enduring a significant deficit in collecting necessary information to manage its water resources in that manner. While reservoirs are abundant, the majority of them were constructed a long ago and often lack of regular and adequate measurement on storage volume. Furthermore, the condition of water stress is often missing or remains bias leading to certain risks in reservoir operation, e.g. during water scarcity period. This paper presents how remote sensing data can be used to acquire needed information that is fundamental to understand water resources conditions. The results indicated that Sentinel-1 and Moderate Resolution Imaging Spectroradiometer (MODIS) can be applied to determine water surface area and water stress, through vegetation health index (VHI). This information is deemed necessary to improve water resources monitoring and management and hence, ensure long-term drought resilience and water and food security.
Highlights
Reservoirs play an important role in provision of water during dry season and regulation of excessive flows during wet seasons (Donchyts et al, 2016)
The results indicated that Sentinel-1 and Moderate Resolution Imaging Spectroradiometer (MODIS) can be applied to determine water surface area and water stress, through vegetation health index (VHI)
The deficit of knowledge on water storage will lead to reduction in water supply capacity and potentially contribute to water scarcity and pollution
Summary
Reservoirs play an important role in provision of water during dry season and regulation of excessive flows during wet seasons (Donchyts et al, 2016). Many satellites remote sensing surface water mapping studies and applications focus on the use of optical sensors, such as Landsat (Crétaux et al, 2015), Sentinel (Markert et al, 2020), the Moderate Resolution Imaging Spectroradiometer (MODIS) (Vanthof & Kelly, 2019), Wardlow and Egbert, 2010, Pervez et al, 2014 and the Visible Infrared Imaging Radiometer Suite (VIIRS) (Usman et al, 2015; Biggs et al, 2006) These optical water mapping methods include spectral information and thresholds (Sruthi & Aslam, 2015). This paper presents how remote sensing data can be used to 1) derive information of reservoir storage for irrigation dams and 2) combine remote sensing based-drought information for operation of dams and reservoirs
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