The Jou Negro ice patch has the greatest surface area of the few that remain in the Cantabrian mountain range. This paper studies its development since the Little Ice Age, its structure and current dynamics. The ice patch lost mass throughout the twentieth century following the general air temperature rise in the region. It was originally a glacier, but from the beginning of the twentieth century it became a glacial ice patch, showing considerable loss of mass after the 1980s. The internal structure with two basal layers of saturated and partially frozen sediments upon which the glacial ice lies, favours contemporary movement. A considerable mass loss in 2009 has been detected associated with small displacements by sliding. The considerable clast cover and topoclimate favours the maintenance of the ice patch, which is in a state of imbalance with current environmental conditions.

Vertical electric sounding, bottom temperature of winter snowcover (BTS) and ground thermal measurement, debris surface analysis and a differential global positioning system (DGPS) survey were performed on the Posets rock glacier (Pyrenees) between 2001 and 2008. High precision records of horizontal and vertical movements of the rock glacier were measured using a DGPS on ten steel rods. Total and annual average displacements and thickness changes for each control point were derived from the fi eld survey. Horizontal and vertical displacement rates in different sectors of the rock glacier were compared, and these compared with thermal, structural and morphological maps. The inferred surface deformation was characterized by extensional and compressive fl ows in which two dynamic types were found. The fi rst type of movement is defi ned by the slide and fl ows related to the existence of an ice body over the frost body. The second dynamic type involved the displacement generated by deformation of the frozen body. The study attempts to understand the surface movement and dynamics of rock glaciers in marginal cold environments and their usefulness as environmental geoindicators.

Abstract:In this paper, two methods based on computer vision are presented in order to produce dense point clouds and high resolution DEMs (digital elevation models) of the Corral del Veleta rock glacier in Sierra Nevada (Spain). The first one is a semi-automatic 3D photo-reconstruction method (SA-3D-PR) based on the Scale-Invariant Feature Transform algorithm and the epipolar geometry theory that uses oblique photographs and camera calibration parameters as input. The second method is fully automatic (FA-3D-PR) and is based on the recently released software 123D-Catch that uses the Structure from Motion and MultiView Stereo algorithms and needs as input oblique photographs and some measurements in order to scale and geo-reference the resulting model. The accuracy of the models was tested using as benchmark a 3D model registered by means of a Terrestrial Laser Scanner (TLS). The results indicate that both methods can be applied to micro-scale study of rock glacier morphologies and processes with average distances to the TLS point cloud of 0.28 m and 0.21 m, for the SA-3D-PR and the FA-3D-PR methods, respectively. The performance of the models was also tested by means of the dimensionless relative precision ratio parameter resulting in figures of 1:1071 and 1:1429 for the SA-3D-PR and the FA-3D-PR methods, respectively. Finally, Digital Elevation Models (DEMs) of the study area were produced and compared with the TLS-derived DEM. The

Abstract:The accuracy of different workflows using Structure-from-Motion and Multi-View-Stereo techniques (SfM-MVS) is tested. Twelve point clouds of the Corral del Veleta rock glacier, in Spain, were produced with two different software packages (123D Catch and Agisoft Photoscan), using Low Dynamic Range images and High Dynamic Range compositions (HDR) for three different years (2011, 2012 and 2014). The accuracy of the resulting point clouds was assessed using benchmark models acquired every year with a Terrestrial Laser Scanner. Three parameters were used to estimate the accuracy of each point cloud: the RMSE, the Cloud-to-Cloud distance (C2C) and the Multiscale-Model-to-Model comparison (M3C2). The M3C2 mean error ranged from 0.084 m (standard deviation of 0.403 m) to 1.451 m (standard deviation of 1.625 m). Agisoft Photoscan overcome 123D Catch, producing more accurate and denser point clouds in 11 out 12 cases, being this work, the first available comparison between both software packages in the literature. No significant improvement was observed using HDR pre-processing. To our knowledge, this is the first time that the geometrical accuracy of 3D models obtained using LDR and HDR OPEN ACCESSRemote Sens. 2015, 7 10270 compositions are compared. These findings may be of interest for researchers who wish to estimate geomorphic changes using SfM-MVS approaches.

Abstract:In this paper we present a stereo feature-based method using SIFT (Scale-invariant feature transform) descriptors. We use automatic feature extractors, matching algorithms between images and techniques of robust estimation to produce a DTM (Digital Terrain Model) using convergent shots of a rock glacier.The geomorphologic structure observed in this study is the Veleta rock glacier (Sierra Nevada, Granada, Spain). This rock glacier is of high scientific interest because it is the southernmost active rock glacier in Europe and it has been analyzed every year since 2001. The research on the Veleta rock glacier is devoted to the study of its displacement and cartography through geodetic and photogrammetric techniques.