Abstract

Remote sensing data which are increasingly used in the Earth observation allow analyzing temporal evolution of objects on the ground surface. There are many different techniques which help us to observe these objects and close range photogrammetry is one of the effective methods. This paper presents a processing chain suitable for monitoring geophysical objects in difficult conditions for close range photogrammetry. The initial results are illustrated on time series of stereoscopic images acquired by two automatic cameras installed on the right bank of the Argentière glacier to build elevation models and to measure its displacement in 3D. The experimental results are validated in collaboration with IGN in fall 2013.