Paper
22 October 2004 Workflow to improve the forest management of Eucalyptus globulus stands affected by Gonipterus scutellatus in Galicia, Spain using remote sensing and GIS
M. Flor Alvarez Taboada, Henrique Lorenzo Cimadevila, Jose Ramon Rodriguez Perez, Juan Picos Martin
Author Affiliations +
Abstract
In Spain there are more than 500,000 ha of Eucalyptus plantations. These represent 3,5% of the national forest and the 25% of the timber harvested. Galicia monocultures of Eucalyptus globulus Labill. plantations cover 177,679 ha, and mixed stands of eucalyptus cover 200,000 ha more. This high productivity has been powered by the absence of pests and pathogens. However, since 1991 the health and productivity of these stands has been threatened by the Eucalyptus snout beetle (Gonipterus scutellatus Gyll.), which causes a severe defoliation to eucalyptus stands in Galicia. The aim of this paper is to establish a workflow to locate the areas affected by the defoliator, and determinate the basics patterns of spatial distribution, in order to predict future hot spots and develop more integrated pests management. This information will be part of a wider Information System, develop to improve the forest management and monitoring of these stands. The damaged area and the level of defoliation will be mapped using satellite imagery. The additional information of stand conditions, such as site index, climate and microclimatic conditions, digital terrain model, dendrometric and dasometric variables, will be integrated also in a Geographical Information System.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
M. Flor Alvarez Taboada, Henrique Lorenzo Cimadevila, Jose Ramon Rodriguez Perez, and Juan Picos Martin "Workflow to improve the forest management of Eucalyptus globulus stands affected by Gonipterus scutellatus in Galicia, Spain using remote sensing and GIS", Proc. SPIE 5574, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology IV, (22 October 2004); https://doi.org/10.1117/12.563507
Lens.org Logo
CITATIONS
Cited by 7 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Geographic information systems

Remote sensing

Earth observing sensors

Climatology

Databases

Forestry

Satellites

RELATED CONTENT


Back to Top