#Nuclear time lapse video how to#
#Nuclear time lapse video software#

Moreover, freeware software devoted to image analysis is spreading, encouraging non-experts to move toward photogrammetry and time-lapse photography to remotely monitor riverine morphodynamics at the three-dimensional scale. Regarding this latter technique, since digital photogrammetry is becoming a major tool in monitoring landform evolution in riverine environments with nonintrusive techniques, due to its relatively reduced costs in comparison with other techniques and the good resolution of the acquired images. In the last decades, several techniques for monitoring coastal and riverine morphodynamics and edge-of-water line displacements have been employed by the scientific community, based on the use of kinematic DGPS (differential global positioning system), on the post-processing of historical maps, data remotely acquired by satellites, airplanes or more recently, unmanned aerial vehicles, or on the analysis of video camera images. Therefore, improved monitoring techniques able to acquire information with a high resolution from remote distances are necessary, aiming to characterize the fluvial environment continuously and regardless the water stage and the atmospheric conditions. However, especially in the case of high flow conditions, this can become very challenging due to practical constraints. The calibration of such models is needed for in-field data, which can be derived from topographic surveys. Since fluvial morphodynamics are a result of complex interactions between water flow, sediment transport, and riparian vegetation (e.g., ), the forecast of the channel cross-section evolution, the displacement of partially emerged bars or the quantification of the bank erosion could result difficult and typically requires for a detailed numerical modeling.

#Nuclear time lapse video how to#

This video-based methodology-which confirms to be economically attractive if compared to more traditional monitoring systems-proves to be a valuable system to monitor long-term fluvial processes providing detailed indications on how to better plan river management activities.

Both from video information and 2-D numerical simulations, it is evident that flooding waves can easily remove sediments that accumulated on bars during low flow conditions in this area, redistributing them across the river channel.

The quantification of the fluvial bathymetry is achieved by mapping multiple edge-of-water lines of a sandbar before and after high flow conditions in December 2017. A camera fixed on a bridge pier acquired images every twelve hours while hourly water levels are derived from a radar hydrometer located upstream of the study area. A simple methodology to track the displacements of a sandbar from a fixed video camera, extracting its morphological features and deriving the associated fluvial morphology is presented, using a small reach of the Po River in Italy as a case study.