In recent years, the developments in computer
technology are as effective in forestry as in many sectors. Open source web map
based Geographic Information Systems (GIS) offer a significant advantage in
investigating forest structure. When using in open source web maps, the
relationships between the data of different features can be evaluated
effectively and accurately. In this study, the relationship between online
landslide data and online stand data was investigated by coding a web interface
with OpenLayers which is one of the common open source web maps. OpenLayers
based landslide areas and ArcGIS Web Services based stand areas have been
evaluated in the solution process. The parameters of the landslide stands have
been evaluated in a case study conducted in Trabzon Regional Directorate of
Forestry. Landslide data were obtained from the General Directorate of Mineral
Research and Exploration, while stands data were obtained from General
Directorate of Forestry. The results indicated that most of the active
landslide areas consisted of pure stands (26.71%), mixed stands (20.50%), and
agricultural areas (38.51%). It was found that 14.29% of active landslide areas
consisted of degraded forest and open areas while 38.51% consisted of
agricultural lands. The results also indicated that stands with sparse crown
closure covered 32.30% of the active landslide areas, while moderate and dense
crown closures covered 12.42% and 2.48%, respectively. It was revealed that percentages of
landslide areas were high in stands with low crown closure due to effects of
heavy rain on the soil. It was also found that mostly tree species with narrow
canopy and shallow root formation are subject to landslide incidents. This
study suggested that OSWMs can be effectively used to investigate landslide
activities in forest areas. It is anticipated that sharing open source data
through online databases will provide great opportunity for practitioners and
researchers in the field of forestry.
Open Source Web Map OpenLayers Geographic Information Systems Landslide Stand Forestry GIS Online Map
Primary Language | English |
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Subjects | Engineering |
Journal Section | Research Articles |
Authors | |
Publication Date | June 29, 2019 |
Published in Issue | Year 2019 |
The works published in European Journal of Forest Engineering (EJFE) are licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.