Advances in Remote Sensing of Flooding
With the publication of eight original research articles, four types of advances in the remote sensing of floods are achieved. The uncertainty of modeled outputs using precipitation datasets derived from in situ observations and remote sensors is further understood. With the terrestrial laser scanner and airborne light detection and ranging (LiDAR) coupled with high resolution optical and radar imagery, researchers improve accuracy levels in estimating the surface water height, extent, and flow of floods. The unmanned aircraft system (UAS) can be the game changer in the acquisition and application of remote sensing data. The UAS may fly everywhere and every time when a flood event occurs. With the development of urban structure maps, the flood risk and possible damage is well assessed. The flood mitigation plans and response activities become effective and efficient using geographic information system (GIS)-based urban flood vulnerability and risk maps.
Wang, Yong. (October 2015). Advances in Remote Sensing of Flooding. Water, (7:11), p.. Retrieved from http://hdl.handle.net/10342/8071
Wang, Yong. "Advances in Remote Sensing of Flooding". Water. 7:11. (.), October 2015. November 27, 2020. http://hdl.handle.net/10342/8071.
Wang, Yong, "Advances in Remote Sensing of Flooding," Water 7, no. 11 (October 2015), http://hdl.handle.net/10342/8071 (accessed November 27, 2020).
Wang, Yong. Advances in Remote Sensing of Flooding. Water. October 2015; 7(11) . http://hdl.handle.net/10342/8071. Accessed November 27, 2020.
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