DETERMINING THE MOST SUITABLE VEGETATION INDEX FOR SEPERATING ECOTONE BOUNDARIES IN ARID RANGELANDS USING SATELLITE DATA

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.

POURHADI MAHNOOSH; MOHTASHAMNIA SAEED; MAHDAVI MOHAMMAD

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

Journal Paper

Paper Information

Journal: JOURNAL OF RANGELAND SCIENCE Year:2012 | Volume:2 | Issue:4 Page(s): 677-685

Download Full-Text

View:

423

Download:

211

Cites:

Information Journal Paper

Title

DETERMINING THE MOST SUITABLE VEGETATION INDEX FOR SEPERATING ECOTONE BOUNDARIES IN ARID RANGELANDS USING SATELLITE DATA

Author(s)

POURHADI MAHNOOSH | MOHTASHAMNIA SAEED | MAHDAVI MOHAMMAD | Issue Writer Certificate

Keywords

SOIL LINE

VEGETATION INDEX

SATELLITE

RANGELAND

ECOTONE

Abstract

Ecotones are zones of gradual changes from an ecological system to another. ECOTONEs monitoring could be important to find out the reason for changes and limits. In this research SATELLITE data were used to analyze the ECOTONE boundary in Fars steppic RANGELANDs using IRS LISS III and Pan data of year 2006. The real vegetation map and ECOTONEs prepared through Geo-eye images from Google earth software and calibrated using field study. Five SOIL LINE vegetation indices such as SAVI, MSAVI2, TSAVI, OSAVI and GESAVI from processed data were calculated. Each of these indices was classified by applying density slicing analysis method. Then the accuracy of produced maps was audited with error matrix method. The results show OSAVI and SAVI had the highest overall accuracy and kappa coefficient as 82.1% and 82% for overall accuracy and 76% for Kappa coefficient, respectively. According to this research, SOIL LINE vegetation indices have intermediate accuracy for separation of arid RANGELANDs ECOTONEs in Iran with IRS data, although, OSAVI and SAVI perform better than the others.

Cites

No record.

References

Cite

APA: Copy

POURHADI, MAHNOOSH, MOHTASHAMNIA, SAEED, & MAHDAVI, MOHAMMAD. (2012). DETERMINING THE MOST SUITABLE VEGETATION INDEX FOR SEPERATING ECOTONE BOUNDARIES IN ARID RANGELANDS USING SATELLITE DATA. JOURNAL OF RANGELAND SCIENCE, 2(4), 677-685. SID. https://sid.ir/paper/625795/en

Vancouver: Copy

POURHADI MAHNOOSH, MOHTASHAMNIA SAEED, MAHDAVI MOHAMMAD. DETERMINING THE MOST SUITABLE VEGETATION INDEX FOR SEPERATING ECOTONE BOUNDARIES IN ARID RANGELANDS USING SATELLITE DATA. JOURNAL OF RANGELAND SCIENCE[Internet]. 2012;2(4):677-685. Available from: https://sid.ir/paper/625795/en

IEEE: Copy

MAHNOOSH POURHADI, SAEED MOHTASHAMNIA, and MOHAMMAD MAHDAVI, “DETERMINING THE MOST SUITABLE VEGETATION INDEX FOR SEPERATING ECOTONE BOUNDARIES IN ARID RANGELANDS USING SATELLITE DATA,” JOURNAL OF RANGELAND SCIENCE, vol. 2, no. 4, pp. 677–685, 2012, [Online]. Available: https://sid.ir/paper/625795/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops