Abstract
Unmanned aeronautical vehicle (UAV) is an inspiring novel remote-sensing tool fit for procuring high-resolution spatial information. Traditional methods of information gathering are not appropriate to detect subtle but important changes in erosion gully structure under low temporal and spatial resolutions. In this study a low-cost remote-sensing approach based on UAVs and advanced conservative cameras will be presented. The idea of manually operated four rotor helicopters was examined by photogrammetric uses, because four-rotor systems have been proven to be well appropriate for terrain observation in difficult highland area. Amid the UAV-based remote-sensing campaigns, critical quantities of airborne photographs of the Huoxiang gully in Chinese Loess Plateau (CLP) were obtained. These photographs were combined to an orthomosaic by image rectification techniques. Digital surface models (DSMs) were generated utilizing a new feature-based surface reconstruction method without any ground control point information. This approach can obtain high-resolution images of gully retrogressive erosion.
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