Research Article
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Year 2019, , 11 - 17, 29.06.2019
https://doi.org/10.33904/ejfe.539554

Abstract

References

  • Bruce, B., 2007. A Survey of Open Source Geospatial Software, MUUG Meeting.
  • Can T., Duman T. Y., Olgun S., Corekcioglu S., Karakaya Gulmez F., Elmaci H., Hamzacebi S., Emre Ö., 2013. Landslide Database of Turkey, Unıon Of Chambers Of Turkısh Engıneers And Architects Congress of Geographical Information Systems, 11-13 November, Ankara.
  • Chok, Y.H., 2008. Modelling the effects of soil variability and vegetation on the stability of natural slopes. Doctor of Philosophy, the University of Adelaide, School of Civil, Environmental and Mining Engineering.
  • Cope, M., Mikhailova, E., Post, C., Schlautman, M., McMillan, P., 2017. Developing an integrated cloudbased spatial-temporal system for monitoring phenology. Ecol Inform 39:123–129.
  • Damos, P., 2015. Modular structure of web-based decision support systems for integrated pest management. A review. Agron Sustain Dev 35(4):1347-1372.
  • Duman, T.Y., Çan, T., Emre, Ö., Keçer, M., Doğan, A., Ates, S., Durmaz, S., 2005. Landslide inventory of northwestern Anatolia, Turkey. Engineering Geology 77(2005):99-114.
  • Eker R., Aydin A., 2014. The Effects Of Forests On Landslides, SDU Faculty Of Forestry Journal, 15: 84-93.
  • Forbes, K., Broadhead, J., 2011. Forests and Landslides: The role of trees and forests in the prevention of landslides and rehabilitation of landslide-affected areas in Asia. Rap Publication 19.
  • Johansson, T., Heiskanen, J., Siljander, M., Pellikka, P., 2019. Web Map Application to Support Spatial Planning, Decision-Making and Transition Toward Climate-Smart Landscapes in the Taita Hills, Kenya. Advanced Computing and Systems for Security, 173–187.
  • Karnatak H. C., 2016. Geo Web Services Technology and Applications, SPIE APRS Symposium 2016, Apr, New Delhi.
  • Kumar, S.V., Bhagavanulu, D.V.S., 2008. Effects of deforestation on landslides in Nilgiris District: a case study. J. Indian Soc. Remote Sens. 36:105–108.
  • Lajis A., Nasir H. M. and Ismail N., 2016. Web GIS based information visualization for pest infection: a case study of rice plantation. Asian J Plant Sci 15(3-4):109–114.
  • Li, S., Saborowski, J., Nieschulze, J., Li, Z., Lu, Y., Chen, E., 2007. Web service based spatial forest information system using an open source software approach. Journal of Forestry Research, 18(2):85–90.
  • Neumann A., 2012. Web Mapping and Web Cartography, Springer Handbook of Geographic Information, 273-287.
  • GDF, 2017. Forestry Statistics, General Directorate of Forestry, Turkish Statistical Institute Publications, Ankara.
  • Ramsey, P., 2006. The State of Open Source GIS, Refraction Research Inc., 42 p.
  • Rice, R.M., 1977. Forest management to minimize land slide risk, FAO Conservation Guide, Guidelines for Watershed Management.
  • Scharl, A., Tochtermann, K., 2009. The Geospatial Web: How Geobrowsers, Social Software and the Web 2.0 are Shaping the Network Society, Springer Science & Business Media, ISBN: 1846288266.
  • Shen, J., Grossmann G., Yang Y., Stumptner M., Schrelf, M., Reiter T., 2007. Analysis of business process integration in Web service context, Future Generation Computer Systems, 23(3):283-294 p.
  • Sherman G. E., 2008. Desktop GIS: Mapping the Planet with Open Source Tools, p. 368, 2008-10-15, ISBN: 978-1-93435-606-7.
  • Steiniger, S., Hunter, A.J.S., 2012. Free and open source GIS software for building a spatial data infrastructure, in: Proc Geospatial free and open source software in the 21st century, Nantes, France, 247-261.
  • Tayyebi A., Meehan T. D., Dischler J., Radloff G., Ferris M. and Gratton C., 2016. SmartScape: a webbased decision support system for assessing the tradeoffs among multiple ecosystem services under crop-change scenarios. Comput Electron Agric, 121:108–121.
  • Torre, J., 2005. Report of existing GIS standards and software - Deliverable 3.6.1, Core GIS 6.1,ices-SYNTHESYS NA-D 3.6 report, 11p.
  • Turan F., 2006. Web Servıces Based Geographıcal Informatıon Systems, Başkent University, Master Thesis, 177 p.
  • Turner T. R., Duke S. D., Fransen B. R., Reiter M. L., Kroll A. J., Ward J. W., Bach J. L., Justice T.E., Bilby R.E., 2010. Landslide densities associated with rainfall, stand age, and topography on forested landscapes, southwestern Washington, USA. Forest Ecology and Management 259:2233-2247.
  • Zhang, D., Chen, X., Yao, H., 2015. Development of a prototype web-based decision support system for watershed management. Water, 7(2):780–792.

Investigation of Relevance Between Landslide and Stand Areas on Open Source Web Map (Openlayers): Case Study in Trabzon Region

Year 2019, , 11 - 17, 29.06.2019
https://doi.org/10.33904/ejfe.539554

Abstract

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.  

References

  • Bruce, B., 2007. A Survey of Open Source Geospatial Software, MUUG Meeting.
  • Can T., Duman T. Y., Olgun S., Corekcioglu S., Karakaya Gulmez F., Elmaci H., Hamzacebi S., Emre Ö., 2013. Landslide Database of Turkey, Unıon Of Chambers Of Turkısh Engıneers And Architects Congress of Geographical Information Systems, 11-13 November, Ankara.
  • Chok, Y.H., 2008. Modelling the effects of soil variability and vegetation on the stability of natural slopes. Doctor of Philosophy, the University of Adelaide, School of Civil, Environmental and Mining Engineering.
  • Cope, M., Mikhailova, E., Post, C., Schlautman, M., McMillan, P., 2017. Developing an integrated cloudbased spatial-temporal system for monitoring phenology. Ecol Inform 39:123–129.
  • Damos, P., 2015. Modular structure of web-based decision support systems for integrated pest management. A review. Agron Sustain Dev 35(4):1347-1372.
  • Duman, T.Y., Çan, T., Emre, Ö., Keçer, M., Doğan, A., Ates, S., Durmaz, S., 2005. Landslide inventory of northwestern Anatolia, Turkey. Engineering Geology 77(2005):99-114.
  • Eker R., Aydin A., 2014. The Effects Of Forests On Landslides, SDU Faculty Of Forestry Journal, 15: 84-93.
  • Forbes, K., Broadhead, J., 2011. Forests and Landslides: The role of trees and forests in the prevention of landslides and rehabilitation of landslide-affected areas in Asia. Rap Publication 19.
  • Johansson, T., Heiskanen, J., Siljander, M., Pellikka, P., 2019. Web Map Application to Support Spatial Planning, Decision-Making and Transition Toward Climate-Smart Landscapes in the Taita Hills, Kenya. Advanced Computing and Systems for Security, 173–187.
  • Karnatak H. C., 2016. Geo Web Services Technology and Applications, SPIE APRS Symposium 2016, Apr, New Delhi.
  • Kumar, S.V., Bhagavanulu, D.V.S., 2008. Effects of deforestation on landslides in Nilgiris District: a case study. J. Indian Soc. Remote Sens. 36:105–108.
  • Lajis A., Nasir H. M. and Ismail N., 2016. Web GIS based information visualization for pest infection: a case study of rice plantation. Asian J Plant Sci 15(3-4):109–114.
  • Li, S., Saborowski, J., Nieschulze, J., Li, Z., Lu, Y., Chen, E., 2007. Web service based spatial forest information system using an open source software approach. Journal of Forestry Research, 18(2):85–90.
  • Neumann A., 2012. Web Mapping and Web Cartography, Springer Handbook of Geographic Information, 273-287.
  • GDF, 2017. Forestry Statistics, General Directorate of Forestry, Turkish Statistical Institute Publications, Ankara.
  • Ramsey, P., 2006. The State of Open Source GIS, Refraction Research Inc., 42 p.
  • Rice, R.M., 1977. Forest management to minimize land slide risk, FAO Conservation Guide, Guidelines for Watershed Management.
  • Scharl, A., Tochtermann, K., 2009. The Geospatial Web: How Geobrowsers, Social Software and the Web 2.0 are Shaping the Network Society, Springer Science & Business Media, ISBN: 1846288266.
  • Shen, J., Grossmann G., Yang Y., Stumptner M., Schrelf, M., Reiter T., 2007. Analysis of business process integration in Web service context, Future Generation Computer Systems, 23(3):283-294 p.
  • Sherman G. E., 2008. Desktop GIS: Mapping the Planet with Open Source Tools, p. 368, 2008-10-15, ISBN: 978-1-93435-606-7.
  • Steiniger, S., Hunter, A.J.S., 2012. Free and open source GIS software for building a spatial data infrastructure, in: Proc Geospatial free and open source software in the 21st century, Nantes, France, 247-261.
  • Tayyebi A., Meehan T. D., Dischler J., Radloff G., Ferris M. and Gratton C., 2016. SmartScape: a webbased decision support system for assessing the tradeoffs among multiple ecosystem services under crop-change scenarios. Comput Electron Agric, 121:108–121.
  • Torre, J., 2005. Report of existing GIS standards and software - Deliverable 3.6.1, Core GIS 6.1,ices-SYNTHESYS NA-D 3.6 report, 11p.
  • Turan F., 2006. Web Servıces Based Geographıcal Informatıon Systems, Başkent University, Master Thesis, 177 p.
  • Turner T. R., Duke S. D., Fransen B. R., Reiter M. L., Kroll A. J., Ward J. W., Bach J. L., Justice T.E., Bilby R.E., 2010. Landslide densities associated with rainfall, stand age, and topography on forested landscapes, southwestern Washington, USA. Forest Ecology and Management 259:2233-2247.
  • Zhang, D., Chen, X., Yao, H., 2015. Development of a prototype web-based decision support system for watershed management. Water, 7(2):780–792.
There are 26 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Research Articles
Authors

Selçuk Gümüş 0000-0002-6942-160X

Taha Yasin Hatay 0000-0003-3946-8076

Saliha Ünver Okan 0000-0001-9882-446X

Publication Date June 29, 2019
Published in Issue Year 2019

Cite

APA Gümüş, S., Hatay, T. Y., & Ünver Okan, S. (2019). Investigation of Relevance Between Landslide and Stand Areas on Open Source Web Map (Openlayers): Case Study in Trabzon Region. European Journal of Forest Engineering, 5(1), 11-17. https://doi.org/10.33904/ejfe.539554

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