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When studying the development of different geomorphic processes, floods, glaciers or even cultural heritage through time, onecannot rely only on regular photogrammetrical procedures and metrical images. In a majority of cases the only available images arethe archive images with unknown parameters of interior orientation showing the object of interest in oblique view. With the help ofmodern high resolution digital elevation models derived from aerial or terrestrial laser scanning (lidar) or from photogrammetricstereo-images by automatic image-matching techniques even single nonmetric high or low oblique image from the past can beapplied in the monoplotting procedure to enable 3D-data extraction of changes through time. The first step of the monoplottingprocedure is the orientation of an image in the space by the help of digital elevation model (DEM). When using oblique images tiepoints between an image and DEM are usually too sparse to enable automatic exterior orientation, still the manual interactiveorientation using common features can resolve such shortages. The manual interactive orientation can be very time consuming.Therefore, before the start of the manual interactive orientation one should be certain if one can expect useful results from the chosenimage. But how to decide which image has the highest mapping potential before we introduce a certain oblique image in orientationprocedure? The test examples presented in this paper enable guidance for the use of monoplotting method for different geoscienceapplications. The most important factors are the resolution of digital elevation model (the best are the lidar derived ones), thepresence of appropriate common features and the incidence angle of the oblique images (low oblique images or almost vertical aerialimages are better). First the very oblique example of riverbank erosion on Dragonja river, Slovenija, is presented. Than the testexample of September 2010 floods on Ljubljana moor is discussed. Finally, case study from November 2012 floods is presented.During November 2012 floods an initiative was launched to gather as much non-metrical images of floods as possible from casualobservers (volunteered image gathering). From all gathered images the guidelines presented before helped to pick out 21% imageswhich were used for monoplotting

How to decide which oblique image has the highest mapping potential for monoplotting method: a case studies on river erosion and floods