Water authorities are required to have a survey of large woody debris (LWD) in river channels and to manage this aspect of Jeans the stream habitat, making decisions on removing, positioning or leaving LWD in a natural state.The main objective of this study is to develop a new methodology that assists in decision making for sustainable management of river channels by using generated low-cost, geomatic products to detect LWD.The use of low-cost photogrammetry based on the use of economical, conventional, non-metric digital cameras mounted on low-cost aircrafts, together with the use of the latest computational vision techniques and open-source geomatic tools, provides useful geomatic products.
The proposed methodology, compared with conventional photogrammetry or other traditional 15-eg1053cl methods, led to a cost savings of up to 45%.This work presents several contributions for the area of free and open source software related to Geographic Information System (FOSSGIS) applications to LWD management in streams, while developing a QGIS [1] plugin that characterizes the risk from the automatic calculation of geometrical parameters.