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Remote Sens. 2014, 6(12), 11770-11790; doi:10.3390/rs61211770

Survey and Classification of Large Woody Debris (LWD) in Streams Using Generated Low-Cost Geomatic Products

1
Jucar Hydrographic Confederation (CHJ), Albacete 02002, Spain
2
Regional Center of Water Research (CREA-UCLM), Albacete, University of Castilla La Mancha, Albacete 02071, Spain
3
Institute for Regional Development (IDR), Albacete, University of Castilla La Mancha, Campus Universitario s/n, Albacete 02071, Spain
4
Department of Cartographic and Land Engineering, University of Salamanca, Hornos Caleros 50, Ávila 05003, Spain
*
Author to whom correspondence should be addressed.
Received: 15 July 2014 / Revised: 17 November 2014 / Accepted: 18 November 2014 / Published: 27 November 2014
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Abstract

Water authorities are required to have a survey of large woody debris (LWD) in river channels and to manage this aspect of 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 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. View Full-Text
Keywords: photogrammetry; large woody debris; orthoimage; FOSSGIS; QGIS Python plugin; river channel management photogrammetry; large woody debris; orthoimage; FOSSGIS; QGIS Python plugin; river channel management
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Ortega-Terol, D.; Moreno, M.A.; Hernández-López, D.; Rodríguez-Gonzálvez, P. Survey and Classification of Large Woody Debris (LWD) in Streams Using Generated Low-Cost Geomatic Products. Remote Sens. 2014, 6, 11770-11790.

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