Identification of the prone lands for wood farming by Eucalyptus in Khuzestan province using Fuzzy AHP

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

ESKANDARI S.; Mahmoudi Sarab S.A.; ZANDIFAR S.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Journal of RS and GIS for Natural Resources Year:2020 | Volume:11 | Issue:1 (38) Page(s): 48-71

Download Full-Text

Persian Verion

View:

893

Download:

Cites:

Information Journal Paper

Title

Identification of the prone lands for wood farming by Eucalyptus in Khuzestan province using Fuzzy AHP

Author(s)

ESKANDARI S. | Mahmoudi Sarab S.A. | ZANDIFAR S. | Issue Writer Certificate

Keywords

Wood farmingQ1

EucalyptusQ1

Fuzzy analytic hierarchy process (FAHP)Q2

Geographical information system (GIS)Q1

Khuzestan provinceQ2

Abstract

Regarding stop industrial forests exploitation in northern Iran, this study was conducted to determine the suitable areas for Wood farming by Eucalyptus in Khuzestan province using Fuzzy AHP and GIS. The indices used were included four main indices, water resources, land use, climate and soil and 22 related sub-indices (Soil texture, soil depth, soil salinity, soil acidity, distance from the river, water volume, surface water salinity, groundwater depth, groundwater salinity, mean annual temperature, mean minimum annual temperature, mean maximum annual temperature, minimum absolute temperature, maximum absolute temperature, mean annual rainfall, mean annual relative humidity, mean annual wind speed, shrublands around the rivers, sandy hills, Jihad Nasr lands, empty lands around the Jihad Nasr channels, empty lands around the water resources). Maps of these factors were prepared using Google Earth satellite imagery (from summer of 2017 to 2019), ground sampling (September of 2019) and available data. Eucalyptus cultivation map in Khuzestan province was also prepared from Khuzestan Natural Resources Administration and ground sampling by GPS in September of 2019. The land use map was prepared by the digitization of land use/cover using Google Earth satellite imagery from summer of 2017 to 2019. Accuracy of land use map was evaluated by 60 ground control points. The weight of effective indices in Eucalyptus Wood farming potential was calculated using Fuzzy AHP. For this purpose, 30 expert questionnaires (30 expert judgments) were distributed among the scientific and operating experts of Wood farming to express the importance and priority of effective factors in Wood farming. Then, the mean questionnaire was obtained and it was analysed by Chang triangular fuzzy extent analysis. Based on this method, the normal weights of the indices and subindices were calculated using Fuzzy AHP method. Using the linear weighted combination of effective sub-indices, maps of the main indices and then a map of Eucalyptus Wood farming potential was prepared. Finally, the Wood farming potential map was validated by Eucalyptus cultivation map and its accuracy was evaluated in identifying the suitable areas for Eucalyptus Wood farming in Khuzestan province. The results showed that among the main indices, water resources and land use had the most importance in the determination of the prone lands for Eucalyptus farming in Khuzestan province based on the Fuzzy AHP. According to the results, 12. 83% of the area had very good potential and 10. 47% of the area had good potential for Eucalyptus farming. The results of the accuracy assessment of Wood farming potential map also showed that Fuzzy AHP with overall accuracy 82% had good accuracy in identification of the prone areas for Wood farming in Khuzestan province.

Cites

No record.

References

No record.

Cite

APA: Copy

ESKANDARI, S., Mahmoudi Sarab, S.A., & ZANDIFAR, S.. (2020). Identification of the prone lands for wood farming by Eucalyptus in Khuzestan province using Fuzzy AHP. JOURNAL OF RS AND GIS FOR NATURAL RESOURCES (JOURNAL OF APPLIED RS AND GIS TECHNIQUES IN NATURAL RESOURCE SCIENCE), 11(1 (38) ), 48-71. SID. https://sid.ir/paper/363416/en

Vancouver: Copy

ESKANDARI S., Mahmoudi Sarab S.A., ZANDIFAR S.. Identification of the prone lands for wood farming by Eucalyptus in Khuzestan province using Fuzzy AHP. JOURNAL OF RS AND GIS FOR NATURAL RESOURCES (JOURNAL OF APPLIED RS AND GIS TECHNIQUES IN NATURAL RESOURCE SCIENCE)[Internet]. 2020;11(1 (38) ):48-71. Available from: https://sid.ir/paper/363416/en

IEEE: Copy

S. ESKANDARI, S.A. Mahmoudi Sarab, and S. ZANDIFAR, “Identification of the prone lands for wood farming by Eucalyptus in Khuzestan province using Fuzzy AHP,” JOURNAL OF RS AND GIS FOR NATURAL RESOURCES (JOURNAL OF APPLIED RS AND GIS TECHNIQUES IN NATURAL RESOURCE SCIENCE), vol. 11, no. 1 (38) , pp. 48–71, 2020, [Online]. Available: https://sid.ir/paper/363416/en

Related Journal Papers