Analysis of the integration in the landscape of routes with low-density traffic

M. Gil; J. Armesto; I. Cañas; A. Tobar

doi:10.1117/12.688198

3 October 2006 Analysis of the integration in the landscape of routes with low-density traffic

M. Gil, J. Armesto, I. Cañas, A. Tobar

Proceedings Volume 6366, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology VI; 63660S (2006) https://doi.org/10.1117/12.688198
Event: SPIE Remote Sensing, 2006, Stockholm, Sweden

Abstract

This paper concerns the study of visual impact assessment of routes on landscape by using remote sensing imagery. Basic indicators are created which can be useful for the analysis of route characteristics from the Landsat TM and Spot P fusion. The area which is the object of study is the Ancares Wildlife Reserve (Lugo, Spain). This paper focuses on the digital processing of rural roads to create indicators to determine if the road fits the landscape. Traditional methods are substituted by the application of satellite image processing through the application of linear enhancing, directional filtering, masking, supervised and unsupervised classifications and operations between images. A procedure has been developed which permits to map qualitative classes of visual integration of routes on landscape from the association of three variables: route linearity, vegetation in the roadside and visibility of the route. Fieldwork has allowed verification of the ground-truth between the physical reality of the area and the obtained thematic mapping. The information provided by the map will determine which routes require to take measures to reduce its visual impact on landscape.

Citation Download Citation

M. Gil, J. Armesto, I. Cañas, and A. Tobar "Analysis of the integration in the landscape of routes with low-density traffic", Proc. SPIE 6366, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology VI, 63660S (3 October 2006); https://doi.org/10.1117/12.688198

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KEYWORDS

Roads

Vegetation

Visibility

Earth observing sensors

Visualization

Landsat

Linear filtering

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